Dissertations / Theses on the topic '090903 Geospatial Information Systems'
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Sharad, Chakravarthy Namindi. "Public Commons for Geospatial Data: A Conceptual Model." Fogler Library, University of Maine, 2003. http://www.library.umaine.edu/theses/pdf/SharadCN2003.pdf.
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Hafernik, Carolyn T. "Automatic methods to disambiguate geospatial queries /." Connect to online version, 2007. http://ada.mtholyoke.edu/setr/websrc/pdfs/www/2007/246.pdf.
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Paulsson, Hampus. "Geospatial Processing in the Cloud." Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-281275.
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Cloud computing is an ubiquitous term that encompasses on-demand computing and related services over the Internet. This thesis work aims to develop a parallel program for processing geographical raster data and use it on the Amazon Web Services cloud platform for parallel, distributed processing. We will also investigate the program’s performance on the cloud platform and investigate different instances to see how they affect the program performance and network capabilities. We found that Amazon Web Services could be used for parallel processing using Message Passing Interface and that the program scales with an increased number of workers used, but that the scaling is limited by the time it takes to transfer data between nodes in the cluser. We also saw how network performance as shown by bandwidth tests varies depending on what instance is used.
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Alesheikh, Ali Asghar. "Modeling and managing uncertainty in object-based geospatial information systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0005/NQ34653.pdf.
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Guo, Man. "Large imagery handling in relational databases for geospatial information systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0019/MQ48368.pdf.
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Ngo, Duc Khanh. "Relief Planning Management Systems - Investigation of the Geospatial Components." Thesis, KTH, Geodesi och geoinformatik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-118373.
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Sahr, Kevin Michael. "Discrete global grid systems : a new class of geospatial data structures /." view abstract or download file of text, 2005. http://wwwlib.umi.com/cr/uoregon/fullcit?p3190547.
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Thesis (Ph. D.)--University of Oregon, 2005.Typescript. Includes vita and abstract. Includes bibliographical references (leaves 109-115). Also available for download via the World Wide Web; free to University of Oregon users.
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Joshi, Kripa. "Combining Geospatial and Temporal Ontologies." Fogler Library, University of Maine, 2007. http://www.library.umaine.edu/theses/pdf/JoshiK2007.pdf.
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Yang, Zhao. "Spatial Data Mining Analytical Environment for Large Scale Geospatial Data." ScholarWorks@UNO, 2016. http://scholarworks.uno.edu/td/2284.
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Nowadays, many applications are continuously generating large-scale geospatial data. Vehicle GPS tracking data, aerial surveillance drones, LiDAR (Light Detection and Ranging), world-wide spatial networks, and high resolution optical or Synthetic Aperture Radar imagery data all generate a huge amount of geospatial data. However, as data collection increases our ability to process this large-scale geospatial data in a flexible fashion is still limited. We propose a framework for processing and analyzing large-scale geospatial and environmental data using a “Big Data” infrastructure. Existing Big Data solutions do not include a specific mechanism to analyze large-scale geospatial data. In this work, we extend HBase with Spatial Index(R-Tree) and HDFS to support geospatial data and demonstrate its analytical use with some common geospatial data types and data mining technology provided by the R language. The resulting framework has a robust capability to analyze large-scale geospatial data using spatial data mining and making its outputs available to end users.
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Wylie, Austin. "Geospatial Data Modeling to Support Energy Pipeline Integrity Management." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1447.
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Several hundred thousand miles of energy pipelines span the whole of North America -- responsible for carrying the natural gas and liquid petroleum that power the continent's homes and economies. These pipelines, so crucial to everyday goings-on, are closely monitored by various operating companies to ensure they perform safely and smoothly.
Happenings like earthquakes, erosion, and extreme weather, however -- and human factors like vehicle traffic and construction -- all pose threats to pipeline integrity. As such, there is a tremendous need to measure and indicate useful, actionable data for each region of interest, and operators often use computer-based decision support systems (DSS) to analyze and allocate resources for active and potential hazards.
We designed and implemented a geospatial data service, REST API for Pipeline Integrity Data (RAPID) to improve the amount and quality of data available to DSS. More specifically, RAPID -- built with a spatial database and the Django web framework -- allows third-party software to manage and query an arbitrary number of geographic data sources through one centralized REST API.
Here, we focus on the process and peculiarities of creating RAPID's model and query interface for pipeline integrity management; this contribution describes the design, implementation, and validation of that model, which builds on existing geospatial standards.
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Saraswat, Dharmendra. "Geospatial technology applications to strawberry, grape and citrus production systems." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1174533489.
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Hunter, Bruce Allan. "A geospatial tool for assessing potential wildland fire risk in central Texas." Thesis, University of North Texas, 2005. https://digital.library.unt.edu/ark:/67531/metadc4870/.
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Wildland fires in the United States are not always confined to wilderness areas. The growth of population centers and housing developments in wilderness areas has blurred the boundaries between rural and urban. This merger of human development and natural landscape is known in the wildland fire community as the wildland urban interface or WUI, and it is within this interface that many wildland fires increasingly occur. As wildland fire intrusions in the WUI increase so too does the need for tools to assess potential impact to valuable assets contained within the interface. This study presents a methodology that combines real-time weather data, a wildland fire behavior model, satellite remote sensing and geospatial data in a geographic information system to assess potential risk to human developments and natural resources within the Austin metropolitan area and surrounding ten counties of central, Texas. The methodology uses readily available digital databases and satellite images within Texas, in combination with an industry standard fire behavior model to assist emergency and natural resource managers assess potential impacts from wildland fire. Results of the study will promote prevention of WUI fire disasters, facilitate watershed and habitat protection, and help direct efforts in post wildland fire mitigation and restoration.
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Bernard, Aaron Michael. "Geospatial Modeling of Forest Road Networks and Their Effect on Stream Macroinvertebrate Communities." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/33338.
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Road construction and maintenance throughout the country continues to be one of the largest contributors of sediment pollution to aquatic systems. Though impacts of road networks on aquatic systems can be potentially severe, little work has been performed to evaluate the effect that road spatial location within a watershed has on water quality. To address this issue from a quantitative perspective, a â Road Impact Factorâ protocol was designed to identify potential erosion-prone segments of road networks based on road gradient, spatial location based on hydrologic flow length, surface composition, and water control installations. The protocol was developed for two regions in Central Idaho and Eastern Oregon. We then used the hydrologic travel time procedure, developed for use in the Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS) runoff and routing model, in order to characterize the spatial distribution of potential road runoff impacts within the study areas. Ten macroinvertebrate metrics sensitive to sedimentation (i.e. % Intolerant Taxa, Hilsenhoff Biotic Index, etc.) were analyzed to test the significance of the spatial distribution of Road Impact Factors. These 10 metrics were analyzed under the hypothesis that values will be lower for those study areas that have a higher degree of road impact and a lower distance between the road segments and stream reaches. Results of a quadrant analysis and hierarchical clustering analysis showed hypothesized trends for several metrics in Idaho, though the trends were not strong. No trends were observed in Oregon. The variability in results is likely due to limitations of the input datasets.Master of Science
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Jia, Tao. "Geospatial Knowledge Discovery using Volunteered Geographic Information : a Complex System Perspective." Doctoral thesis, KTH, Geodesi och geoinformatik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-104783.
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The continuous progression of urbanization has resulted in an increasing number of people living in cities or towns. In parallel, advancements in technologies, such as the Internet, telecommunications, and transportation, have allowed for better connectivity among people. This has engendered drastic changes in urban systems during the recent decades. From a social geographic perspective, the changes in urban systems are primarily characterized by intensive contacts among people and their interactions with the surrounding urban environment, which further leads to subsequent challenging problems such as traffic jams, environmental pollution, urban sprawl, etc. These problems have been reported to be heterogeneous and non-deterministic. Hence, to cope with them, massive amounts of geographic data are required to create new knowledge on urban systems. Due to the thriving of Volunteer Geographic Information (VGI) in recent years, this thesis presents knowledge on urban systems based on extensive VGI datasets from three sources: highway dataset from the OpenStreetMap (OSM) project, photo location dataset from the Flickr website, and GPS tracking datasets from volunteers, taxicabs, and air flights. The knowledge primarily relates to two issues of urban systems: the urban space and the corresponding human dynamics. In accordance, on one hand, urban space acts as a carrier for associated geographic activities and knowledge of it benefits our understanding of current social and economic problems in urban systems. On the other hand, human dynamics reflect human behavior in urban space, which leads to complex mobility or activity patterns. Its investigation allows a derivation of the underlying driving force that is very instructive to urban planning, traffic management, and infectious disease control. Therefore, to fully understand the two issues, this thesis conducts a thorough investigation from multiple aspects. The first issue is investigated from four aspects. First, at the city level, the controversial topic of city size regularity is investigated in terms of natural cities, and the conclusion is that Zipf’s law holds stably for all US cities. Second, at the sub-city level, the size distribution of spatial units within different cities in terms of the clusters formed by street nodes, photo locations, and taxi static points are explored, and the result shows a remarkable scaling property of these spatial units. Third, enlightened by the scaling property of the urban space at the city or sub-city level, this thesis devises a novel tool that can demarcate the cities into three categories: compact cities, normal cities, and sprawling cities. The tool is then applied to cities in both the US and three European countries. In the last, another representation of urban space is taken into account, namely the transportation network. The findings report that the US airport network displays the properties of scale-free, small-world, and disassortative mixing and that the individual natural airports show heterogeneous patterns that are probably subject to geographic constraints and socioeconomic factors. The second issue is examined from four perspectives. First, at the city level, the movement flow contributed by agents using two types of behavior is investigated through an agent-based simulation, and the result conjectures that the human mobility behavior is mainly shaped by the underlying street network. Second, at the country level, this thesis reports that the human travel length by air can be approximated well by an exponential distribution, and subsequent simulations indicate that human mobility behavior is largely constrained by the underlying airport network. Third, at the regional level, the length that humans travel by car is demonstrated to agree well with a power law with exponential cutoff distribution, and subsequent simulation further reproduces this levy flight characteristic. Based on the simulation, human mobility behavior is again revealed to be primarily shaped by the underlying hierarchical spatial structure. Finally, taxicab static points are adopted to explore human activity patterns, which can be characterized as the regularities in space and time, the heterogeneity and predictability in space. From a complex system perspective, this thesis presents the knowledge discovered in urban systems using massive volumes of geographic data. Together with new knowledge from empirical findings, the development of methods, and the design of theoretic models, this thesis also shares the research community with geographic data generated from extensive VGI datasets and the corresponding source codes. Moreover, this study is aligned with a paradigm shift in that it analyzes large-size datasets using high processing power as opposed to analyzing small-size datasets with low processing power.QC 20121113
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Emil, Mustafa Kemal. "Land Degradation Assessment For An Abandoned Coal Mine With Geospatial Information Technologies." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612627/index.pdf.
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This study proposes an approach for land degradation assessment for an abandoned coal mine
by using geospatial information technologies. The land degradation assessment focuses on
two major changes: topographical and Land Use and Land Cover (LULC). For this purpose,
stereo aerial photos, Worldview-1, Landsat and ASTER images, Terrestrial Laser Scanning
(TLS) data, Global Positioning System (GPS) data, and ancillary maps were used for
abandoned Ovacik surface coal mine.
Volume of excavations and fillings, drainage network deviations, and slope instabilities were
the investigated topographical disturbances by comparison of the Digital Elevation Models
(DEM) for pre- and post-mining stages. Using aerial photos and Worldview-1 satellite image,
LULC maps were prepared based on the same time period. Then areal extent and spatial
pattern of the LULC change was calculated and mapped by post classification comparison
method.
The results of land degradation assessment show that there was a significant topographical
disturbance and LULC change in the research area. Particularly, three dump areas with a total
volume of 2,334,878 m3 were identified by DEM subtraction. It was found that stream
network around the primary dump site shifted towards south with a maximum displacement of
60m. Slope analysis reveals that slopes higher that 60 degrees were mainly observed in
excavation area with 81 percent. LULC change study showed that the forest area decreased
an amount of 106,485 m2 from 1951 to 2008. Howeverby means of the forestation efforts in dump sites, an amount of 106,012 m2 forest land was recovered.
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Farrugia, James A. "Semantic Interoperability of Geospatial Ontologies: A Model-theoretic Analysis." Fogler Library, University of Maine, 2007. http://www.library.umaine.edu/theses/pdf/FarrugiaJA2007.pdf.
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Albina, Adam R. "Assessing the Impact of a Geospatial Information System for Improving Campus Emergency Decision-Making of Novice Crisis Managers." Diss., NSUWorks, 2018. https://nsuworks.nova.edu/gscis_etd/1029.
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A significant increase in campus-based emergencies warrants the investigation into emergency management information systems that serve a novice crisis decision-maker. Institutions of higher education that are not large enough to have dedicated emergency management offices generally press novice decision-makers into emergency management roles. An investigation was conducted to assess the impact of an emergency management geospatial information system on the decision performance of novice crisis managers through the use of a scenario-based simulation. A mixed method sequential explanatory method was used to collect quasi-experimental data on decision time, decision accuracy and situational awareness. Qualitative analysis was conducted through interviews with participants. Statistical results indicate the decision accuracy is positively affected by the use of an emergency management geospatial information system. Data Envelopment Analysis (DEA) is non-parametric linear programming method used to identify decision-making units in a data set that are optimal in their use of single or a set of resources (inputs) in delivering a set of expected results (outputs). DEA indicated that efficiency ratios from the geospatial information system group outperform the traditional group. Geospatial information systems hold much promise in providing systems that are easy to use, promote heightened levels of situational awareness and decision support.
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Terletzky, Patricia A. "Utilizing Remote Sensing and Geospatial Techniques to Determine Detection Probabilities of Large Mammals." DigitalCommons@USU, 2013. https://digitalcommons.usu.edu/etd/1760.
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Whether a species is rare and requires protection or is overabundant and needs control, an accurate estimate of population size is essential for the development of conservation plans and management goals. Wildlife censuses in remote locations or over extensive areas are logistically difficult, frequently biased, and time consuming. My dissertation examined various techniques to determine the probability of detecting animals using remotely sensed imagery. We investigated four procedures that integrated unsupervised classification, texture characteristics, spectral enhancements, and image differencing to identify and count animals in remotely sensed imagery. The semi-automated processes had relatively high errors of over-counting (i.e., greater than 60%) in contrast to low (i.e. less than 19%) under-counting errors. The single-day image differencing had over-counting errors of 53% while the manual interpretation had over-counting errors of 19%. The probability of detection indicates the ability of a process or analyst to detect animals in an image or during an aerial wildlife survey and can adjust total counts to estimate the size of a population. The probabilities of detecting an animal in remotely sensed imagery with semi-automated techniques, single-day image differencing, or manual interpretation were high (e.g. ≥ 80%). Single-day image differencing resulted in the highest probability of detection suggesting this method could provide a new technique for managers to estimate animal populations, especially in open, grassland habitats. Remotely sensed imagery can be successfully used to identify and count animals in isolated or remote areas and improve management decisions. Sightability models, used to estimate population abundances, are derived from count data and the probability of detecting an animal during a census. Global positioning systems (GPS) radio-collared bison in the Henry Mountains of south-central Utah provided a unique opportunity to examine remotely sensed physiographic and survey characteristics for known occurrences of double-counted and missed animals. Bison status (detected, missed, or double-counted) was determined by intersecting helicopter survey paths with bison travel paths during annual helicopter surveys. The probability of detecting GPS-collared bison during the survey ranged from 91% in 2011 to 88% in 2012.
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Comer, Bryan. "Sustainable intermodal freight transportation : applying the geospatial intermodal freight transport model /." Online version of thesis, 2009. http://hdl.handle.net/1850/10887.
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Shackelford, Aaron K. "Development of urban area geospatial information products from high resolution satellite imagery using advanced image analysis techniques." Diss., Columbia, Mo. : University of Missouri-Columbia, 2004. http://hdl.handle.net/10355/4094.
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Thesis (Ph. D.)--University of Missouri-Columbia, 2004.The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (June 29, 2005) Vita. Includes bibliographical references.
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Gordon, Josef. "Comparative Geospatial Analysis of Twitter Sentiment Data during the 2008 and 2012 U.S. Presidential Elections." Thesis, University of Oregon, 2013. http://hdl.handle.net/1794/13424.
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The goal of this thesis is to assess and characterize the representativeness of sampled data that is voluntarily submitted through social media. The case study vehicle used is Twitter data associated with the 2012 Presidential election, which were in turn compared to similarly collected 2008 Presidential election Twitter data in order to ascertain the representative statewide changes in the pro-Democrat bias of sentiment-derived Twitter data mentioning either of the Republican or Democrat Presidential candidates.
The results of the comparative analysis show that the MAE lessened by nearly half - from 13.1% in 2008 to 7.23% in 2012 - which would initially suggest a less biased sample. However, the increase in the strength of the positive correlation between tweets per county and population density actually suggests a much more geographically biased sample.
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Heiple, Shem C. "Using Building Energy Simulation and Geospatial Modeling Techniques in Determine High Resolution Building Sector Energy Consumption Profiles." PDXScholar, 2007. https://pdxscholar.library.pdx.edu/open_access_etds/3399.
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A technique is presented for estimating hourly and seasonal energy consumption profiles in the building sector at spatial scales down to the individual taxlot or parcel. The method combines annual building energy simulations for cityspecific prototypical buildings and commonly available geospatial data in a Geographical Information System (GIS) framework. Hourly results can be extracted for any day and exported as a raster output at spatial scales as fine as an individual parcel (
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Toups, Matthew A. "A study of three paradigms for storing geospatial data: distributed-cloud model, relational database, and indexed flat file." ScholarWorks@UNO, 2016. http://scholarworks.uno.edu/td/2196.
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Geographic Information Systems (GIS) and related applications of geospatial data were once a small software niche; today nearly all Internet and mobile users utilize some sort of mapping or location-aware software. This widespread use reaches beyond mere consumption of geodata; projects like OpenStreetMap (OSM) represent a new source of geodata production, sometimes dubbed “Volunteered Geographic Information.” The volume of geodata produced and the user demand for geodata will surely continue to grow, so the storage and query techniques for geospatial data must evolve accordingly.
This thesis compares three paradigms for systems that manage vector data. Over the past few decades these methodologies have fallen in and out of favor. Today, some are considered new and experimental (distributed), others nearly forgotten (flat file), and others are the workhorse of present-day GIS (relational database). Each is well-suited to some use cases, and poorly-suited to others. This thesis investigates exemplars of each paradigm.
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Raghavan, Ram. "Geospatial analysis of canine leptospirosis risk factors in the central Great Plains region." Diss., Kansas State University, 2011. http://hdl.handle.net/2097/13893.
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Doctor of PhilosophyDepartment of Diagnostic Medicine/Pathobiology
K.R. Harkin
T.G. Nagaraja
Associations of land cover/land use, socio-economic and housing, and hydrological and soil-hydrological variables were evaluated retrospectively as potential risk factors for canine leptospirosis in Kansas and Nebraska using Geographic Information Systems (GIS). The sample included 94 dogs positive for leptospirosis based on a positive polymerase chain reaction test for leptospires in urine, isolation of leptospires on urine culture, a single reciprocal serum titer of 12,800 or greater, or a four-fold rise in reciprocal serum titers over a 2 to 4 week period; and 185 dogs negative for leptospirosis based on a negative polymerase chain reaction test and reciprocal serum titers less than 400. Publicly available geographic datasets representing land cover/land use, socio-economic and housing characteristics, and hydrologic and soil hydrologic themes were analyzed along with geocoded addresses of case/control locations in GIS. Among different land cover/land use variables evaluated, urban areas (high and medium intensity urban areas and urban areas in general) and evergreen forests and forest/woodlands in general were significant risk factors. Among socio-economic and demographic determinants evaluated, houses lacking complete plumbing facilities, poverty status by age (18-64), and living within 2500 meters of a university/college or parks/forests were significant risk factors. Proximity to water features, hydrologic density and frequently flooded areas were identified as significant risk factors for canine leptospirosis among hydrologic and soil-hydrologic variables. Pet owners whose dogs live in such areas or under these circumstances should consider vaccination to prevent canine leptospirosis.
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Royal, Kevin. "Evaluating and comparing digital geospatial publishing tools a thesis presented to the Department of Geology and Geography in candidacy for the degree of Master of Science /." Diss., Maryville, Mo. : Northwest Missouri State University, 2009. http://www.nwmissouri.edu/library/theses/RoyalKevin/index.htm.
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Thesis (M.S.)--Northwest Missouri State University, 2009.The full text of the thesis is included in the pdf file. Title from title screen of full text.pdf file (viewed on June 15, 2009) Includes bibliographical references.
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Bethel, Matthew. "Geospatial Technology/Traditional Ecological Knowledge-Derived Information Tools for the Enhancement of Coastal Restoration Decision Support Processes." ScholarWorks@UNO, 2010. http://scholarworks.uno.edu/td/1228.
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This research investigated the feasibility and benefits of integrating geospatial technology with traditional ecological knowledge (TEK) of an indigenous Louisiana coastal population in order to assess the impacts of current and historical ecosystem change to community viability. The primary goal was to provide resource managers with a comprehensive method of assessing localized ecological change in the Gulf Coast region that can benefit community sustainability. Using Remote Sensing (RS), Geographic Information Systems (GIS), and other geospatial technologies integrated with a coastal community's TEK to achieve this goal, the objectives were (1) to determine a method for producing vulnerability/sustainability mapping products for an ecosystem-dependent livelihood base of a coastal population that results from physical information derived from RS imagery and supported, refined, and prioritized with TEK, and (2) to demonstrate how such an approach can engage affected community residents who are interested in understanding better marsh health and ways that marsh health can be recognized, and the causes of declining marsh determined and addressed. TEK relevant to the project objectives collected included: changes in the flora and fauna over time; changes in environmental conditions observed over time such as land loss; a history of man-made structures and impacts to the area; as well as priority areas of particular community significance or concern. Scientific field data collection measured marsh vegetation health characteristics. These data were analyzed for correlation with satellite image data acquired concurrently with field data collection. Resulting regression equations were applied to the image data to produce estimated marsh health maps. Historical image datasets of the study area were acquired to understand evolution of land change to current conditions and project future vulnerability. Image processing procedures were developed and applied to produce maps that detail land change in the study area at time intervals from 1968 to 2009. This information was combined with the TEK and scientific datasets in a GIS to produce mapping products that provide new information to the coastal restoration decision making process. This information includes: 1) what marsh areas are most vulnerable; and 2) what areas are most significant to the sustainability of the community.
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Ghanta, Neelima. "Integrating Geospatial Technologies into the Property Management Process of the Transportation Right-Of-Way." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/31280.
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Property Management, one functional area within Right-of-Way offices in state transportation agencies, is responsible for managing the property acquired for highway projects. These activities are data and document intensive and efficiency for performing them would be improved through the implementation of an information management system. Because of the geospatial nature of many of these activities, geographic information systems (GIS) would increase the effectiveness of this system. A literature review and survey were conducted to understand the current state of practice for the use of GIS and information management systems in Property Management. There is no identified comprehensive system that covers all Property Management activities. An initial step in developing a geospatially-enabled enterprise-level information management system, a logical model was developed. This included developing the business process diagram, business process models, and use case models based on the principles of systems engineering using the Computer Aided Software (CASE) Enterprise Architecture. Activities that would benefit from a geospatial component have been identified and included in the models. The developed models have been validated by working with PennDOT staff. The resulting model serves as a standard template for state transportation agencies and helps conceptualize the advantages of integration and interaction with other systems, and geospatial enablement prior to investment in an information management system.Master of Science
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Jackson, Etta Delores. "The Role of Geospatial Information and Effective Partnerships in the Implementation of the International Agenda for Sustainable Development." Antioch University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=antioch1594291234482502.
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Camez, Salomon Meillon. "Keeping current and increasing the effectiveness of the decision-making process and the interoperability in the digital age geospatial intelligence and Geospatial Information Systems' applications in the military and intelligence fields for the Mexican Navy." Thesis, Monterey, California. Naval Postgraduate School, 2008. http://hdl.handle.net/10945/3799.
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The birth of the digital era - full of new technologies and information systems that increase as time goes by - has forced the military to embrace these innovations so that they do not lose effectiveness or become obsolete when compared with other countries' armed forces. One of these innovations is the Geospatial Information Systems (GIS), which is the result of geography's evolution from its application for naming and delineating the boundaries of countries, seas, and rivers. Modern day applications of this science have transformed it into a more scientific, mathematical, and technological one, which is a powerful tool for GEOINT analysts, and support of the decision-making process in the intelligence and military fields. This thesis introduces the GEOINT-process-model and the main GIS applications in the military and intelligence fields. A practical scenario that embraces a SOF operation is developed through use of the GEOINT process and ArcGIS software. Furthermore, this thesis presents a preliminary approach for the Mexican Navy to embrace the use of GIS and GEOINT.
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Cámez, Salomón Meillón. "Keeping current and increasing the effectiveness of the decision-making process and the interoperability in the digital age geospatial intelligence and Geospatial Information Systems' applications in the military and intelligence fields for the Mexican Navy /." Monterey, Calif. : Naval Postgraduate School, 2008. http://edocs.nps.edu/npspubs/scholarly/theses/2008/Dec/08Dec%5FCamez.pdf.
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Thesis (M.S. in Defense Analysis)--Naval Postgraduate School, December 2008.Thesis Advisor(s): Tsolis, Kristen. "December 2008." Description based on title screen as viewed on January 30, 2009. Includes bibliographical references (p. 225-229). Also available in print.
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Millin, Gail. "Evaluation of geospatial data to characterise upland water vole Arvicola terrestris habitat at Grains in the Water and Swains Greave in the Peak District, Derbyshire." Thesis, University of Manchester, 2003. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:154772.
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Evaluation of aerial photographs, LiDAR imagery and GPS survey points was conducted to characterise water vole habitat at Grains in the Water and Swains Greave, in the Peak District. Justification for the study is to explore an affective way to monitor water vole habitat in relation to water vole signs utilising GIS. The water vole is a rapidly declining native species (Strachan and Strachan, 2003). The geospatial data was evaluated in terms of integration and extraction. The aerial photography provided a basis for vegetation mapping after visual interpretation. The aerial photograph required geometric correction and an average control point RMSE of 4.17m for the Grains in the Water site, using a 2nd order polynomial model was achieved. Extraction of slope, aspect, stream proximity and elevation were achieved using LiDAR imagery. Pearson’s product moment correlation coefficient highlighted a significant relationship between water vole latrine density with slope at the 0.01 significance level for 4m and 6m resolution data (Grains in the Water). The Swains Greave site supported this result with a 0.01 significance level for 6m resolution slope data. Elevation and aspect did not show a significant correlation with latrine density at Grains in the Water. The main conclusion is that water vole habitat cannot be solely characterised by aerial photography and LiDAR data, as other habitat variables could affect water vole distributions, which cannot be extracted from these geospatial data e.g. pH, bank exposure and stream depth.
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Nejatbakhsh, Esfahani Nazereh [Verfasser], Raimar J. [Akademischer Betreuer] Scherer, Raimar J. [Gutachter] Scherer, André [Gutachter] Borrmann, and Jörg [Gutachter] Blankenbach. "Interoperability of Traffic Infrastructure Planning and Geospatial Information Systems / Nazereh Nejatbakhsh Esfahani ; Gutachter: Raimar J. Scherer, André Borrmann, Jörg Blankenbach ; Betreuer: Raimar J. Scherer." Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://d-nb.info/1226811868/34.
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March, Morlà David. "Geospatial modeling in marine recreational fisheries science." Doctoral thesis, Universitat de les Illes Balears, 2014. http://hdl.handle.net/10803/283186.
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El presente trabajo de tesis doctoral propone diferentes enfoques geoespaciales destinados al análisis de la dimensión espacial de las pesquerías recreativas costeras utilizando métodos cuantitativos y herramientas computacionales. Diferentes tipos de información espacial,relativas a los hábitats bentónicos así como a la movilidad y a la calidad de las capturas, han sido combinadas para estimar el esfuerzo de pesca y las capturas totales, utilizando un enfoque original y espacialmente explícito. El objetivo es el de progresar en la comprensión del comportamiento espacial del pescador a través de un enfoque holístico basado en datos empíricos y modelos estadísticos. La modalidad de pesca del 'roquer', una de las pesquerías recreativas costeras más populares en el Mediterráneo, ha sido utilizada como caso de estudio en la bahía de Palma (en el Mediterráneo noroccidental).This thesis proposes different geospatial approaches for assessing the spatial dimension of the coastal recreational fisheries using quantitative methods and computational tools. Spatial information on benthic habitats, fish mobility and fishing quality were combined for estimating fishing effort and harvest using an original spatially-explicit approach. The aim is to advance in our understanding of angler spatial behaviour using a holistic approach based on empirical data and statistical models. In order to illustrate the proposed framework, the ‘roquer’ modality, one of the most popular coastal recreational fisheries in the Mediterranean Sea, was used as case study at Palma Bay (NW Mediterranean).
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Lindsey, Daniel Clayton. "A Geospatial Analysis of the Northeastern Plains Village Complex: An Exploration of a GIS-Based Multidisciplinary Method for the Incorporation of Western and Traditional Ecological Knowledge into the Discovery of Diagnostic Prehistoric Settlement Patterns." Thesis, North Dakota State University, 2019. https://hdl.handle.net/10365/31623.
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This thesis research analyzes how Traditional Ecological Knowledge (TEK) can be used to understand extant Northeastern Plains Village (NEPV) settlement strategies in aggregate for the purposes of subjoining a subsequent verification metric to the current archaeological classification system used to describe NEPV associated sites. To accomplish this task, I extracted Traditional Ecological Knowledge from ethnographic sources for comparison to geospatial, geostatistical, and statistical analyses. My results show that the hierarchical clustering exhibited among NEPV sites is congruent with first person narratives of habitation and resource collection activities occurring in the pre-Reservation period (before AD 1880) within the research area. This study emphasizes the importance of the incorporation of Traditional Ecological Knowledge into material typological classification schemes for archaeological sites which are convoluted by a high rates of cultural transmission.
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Horita, Flavio Eduardo Aoki. "An approach for improving decision-making with heterogeneous geospatial big data: an application using spatial decision support systems and volunteered geographic information to disaster management." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-17042017-111209/.
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Context: Accurate decision-making requires updated and precise information to establish the reality of an overall situation. New data sources (e.g., wearable technologies) have been increasing the amount of available and useful data, which is now called big data. This has a great potential for transforming the entire business process and improving the accuracy of decisions. In this context, disaster management represents an interesting scenario that relies on big data to enhance decision-making. This is because it must cope with data provided not only by traditional sources (e.g., stationary sensors) but also by emerging sources - for instance, information shared by local volunteers, i.e., volunteered geographic information (VGI). When combined, these data sources can be regarded as large in volume, with different velocities, and a variety of formats. Furthermore, an analysis is required to confirm their veracity is required since these data sources are disconnected and prone to various errors. These are the 4Vs that characterize big data. Gap: However, although all these data open up further opportunities, their huge volume, together with an inappropriate data integration and unsuitable visualization, can result in information being overlooked by decision-makers. This problem arises because the integration of the available data is hampered by the intrinsic heterogeneity of their features (e.g., their occurrence in different formats). When integrated, this information also often fails to reach the decision-makers in a suitable way (e.g., in appropriate visualization formats). Moreover, there is not a clear understanding of the decision-makers needs or how the available data can meet these needs. Objective: In light of this, this thesis presents an approach for improving decision-making with heterogeneous geospatial big data based on spatial decision support systems and volunteered geographic information in disaster management. Methods: Systematic mapping studies were conducted to identify gaps in research studies with regard to the use of volunteered information and spatial decision support systems in disaster management. On the basis of these studies, two design science projects were carried out. The first of these aimed at defining the elements that are essential for ensuring the integration of heterogeneous data, whereas the second project aimed at obtaining a better understanding of decision-makers needs. A cross-organizational action research project was also conducted to define the design principles that should be observed for a spatial decision support system to effectively support decision-making with heterogeneous geospatial big data. A series of empirical case studies was undertaken to evaluate the outcomes of these projects. Results: The overall approach thus consists of the three significant outcomes that were derived from these projects. The first outcome was the conceptual architecture that defines the integration of heterogeneous data sources. The second outcome was a model-based framework that describes the connection of decision-making with appropriate data sources. The third outcome is based on the framework and comprises a set of design principles for guiding the development of spatial decision support systems for decision-making with heterogeneous geospatial big data. Conclusion: This thesis has made a useful contribution to both practice and research. In short, it defines ways of integrating heterogeneous data sources, provides a better understanding of decision-makers needs, and supports the development of a spatial decision support system to effectively assist decision-making with heterogeneous geospatial big data.Contexto: Uma tomada de decisão precisa exige informações mais precisas e atualizadas para estabelecer a realidade da situação geral. Novas fontes de dados (e.g, tecnologias vestíveis) tem aumentado a quantidade de dados úteis disponíveis, que agora é chamado de big data. Isso tem grande potencial para transformar todo o processo de negócio e melhorar a precisão na tomada de decisão. Neste contexto, a gestão de desastres representa um interessante cenário que depende de big data para aprimorar a tomada de decisão. Isso porque, ela tem que lidar com dados fornecidos não apenas por fontes tradicionais (e.g., sensores estáticos), mas também por fontes emergentes por exemplo, informações compartilhadas por voluntários locais, i.e., as informações geográficas de voluntários (VGI). Quando combinadas, estas fontes de dados podem ser consideradas grandes em volume, com diferentes velocidades e uma variedade de formatos. Além disso, uma análise com relação à sua veracidade é necessaria uma vez que estas fontes de dados são desconectadas e propensas à erros. Estes são os 4Vs que caracterizam big data. Problema: No entanto, embora todos estes dados abrem novas oportunidades, seu grande volume em conjunto com uma integração inapropriada e uma visualização inadequada, podem tornar as informações ignoradas por tomadores de decisão. Isso ocorre, pois, a integração dos dados disponíveis torna-se complicada devido a heterogeneidade intrínseca nas suas características (e.g., dados em formatos diferentes). Quando integradas, estas informações frequentemente também não chegam aos tomadores de decisão em uma condição apropriada (por exemplo, no formato de visualização adequado). Além disso, não existe uma clara compreensão sobre as necessidades dos tomadores de decisão ou sobre como os dados disponíveis podem ser usados para atender essas necessidades. Objetivo: Dessa forma, esta tese de doutorado apresenta uma abordagem para melhorar a tomada de decisões com grande volume de dados espaciais heterogêneos baseada em sistemas de suporte à decisão espacial e informações geográficas de voluntários na gestão de desastres. Métodos: Mapeamentos sistemáticos foram conduzidos para identificar lacunas de pesquisa no uso de dados voluntários e sistemas de suporte à decisão na gestão de desastres. Com base nestes estudos, dois projetos de design science foram conduzidos. O primeiro deles buscou definir elementos essências para entender a integração de dados heterogêneos, enquanto o segundo projeto buscou fornecer um melhor entendimento das necessidades dos tomadores de decisão. Também foi conduzido um projeto de pesquisa-ação interinstitucional para definir princípios de projeto que deveriam ser observados para um sistema de suporte à decisão espacial ser efetivo no apoio a tomada de decisão com grande volume de dados espaciais heterogêneos. Uma série de estudos de caso empíricos foram conduzidos para avaliar os resultados destes projetos. Resultados: A abordagem geral então é composta pelos três resultados significantes que foram derivados destes projetos. Em primeiro lugar, uma arquitetura conceitual que especifica a integração de fontes de dados heterogêneas. O segundo elemento é uma estrutura baseada em modelo que descreve a conexão entre a tomada de decisão com as fontes de dados mais adequadas. Com base nesta estrutura, o terceiro elemento consiste em um conjunto de princípios de design que guiam o desenvolvimento de um sistema de suporte à decisão espacial para tomada de decisão com grande volume de dados espaciais heterogêneos. Conclusão: Esta tese de doutorado realizou importantes contribuições para a prática e pesquisa. Em resumo, ela define formas para integrar fontes de dados heterogêneos, fornece uma melhor compreensão sobre as necessidades dos tomadores de decisão e ajuda no desenvolvimento de sistemas de suporte à decisão espacial para tomada de decisão com grande volume de dados espaciais heterogêneos.
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Longo, João Sávio Ceregatti 1987. "Management of integrity constraints for multi-scale geospatial data = Gerenciamento de restrições de integridade para dados geoespaciais multi-escala." [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275662.
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Orientador: Claudia Maria Bauzer MedeirosDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação
Made available in DSpace on 2018-08-22T06:24:16Z (GMT). No. of bitstreams: 1 Longo_JoaoSavioCeregatti_M.pdf: 3005926 bytes, checksum: 986140c2ac8b7fc686b351fb6ce666fb (MD5) Previous issue date: 2013
Resumo: Trabalhar em questões relativas a dados geoespaciais presentes em múltiplas escalas apresenta inúmeros desafios que têm sido atacados pelos pesquisadores da área de GIS (Sistemas de Informação Geográfica). De fato, um dado problema do mundo real deve frequentemente ser estudado em escalas distintas para ser resolvido. Outro fator a ser considerado é a possibilidade de manter o histórico de mudanças em cada escala. Além disso, uma das principais metas de ambientes multi-escala _e garantir a manipulação de informações sem qualquer contradição entre suas diferentes representações. A noção de escala extrapola inclusive a questão espacial, pois se aplica também, por exemplo, _a escala temporal. Estes problemas serão analisados nesta dissertação, resultando nas seguintes contribuições: (a) proposta do modelo DBV (Database Version) multi-escala para gerenciar de forma transparente dados de múltiplas escalas sob a perspectiva de bancos de dados; (b) especificação de restrições de integridade multi-escala; (c) implementação de uma plataforma que suporte o modelo e as restrições, testados com dados reais multi-escala
Abstract: Work on multi-scale issues concerning geospatial data presents countless challenges that have been long attacked by GIScience (Geographic Information Science) researchers. Indeed, a given real world problem must often be studied at distinct scales in order to be solved. Another factor to be considered is the possibility of maintaining the history of changes at each scale. Moreover, one of the main goals of multi-scale environments is to guarantee the manipulation of information without any contradiction among the different representations. The concept of scale goes beyond issues of space, since it also applies, for instance, to time. These problems will be analyzed in this thesis, resulting in the following contributions: (a) the proposal of the DBV (Database Version) multi-scale model to handle data at multiple scales from a database perspective; (b) the specification of multi-scale integrity constraints; (c) the implementation of a platform to support model and constraints, tested with real multi-scale data
Mestrado
Ciência da Computação
Mestre em Ciência da Computação
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Engström, Olof, and Tigerström Gabriel Lördal. "Improving usability of land warfare simulator: pathfinding and adaptive speed based on geographic data." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211551.
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SANDIS II is a land warfare simulation and analysis tool developed by the Finnish Defence Research Agency. The Swedish Defence Research Agency has evaluated SANDIS II to have potential as a war gaming aid within education, at the Swedish Defence University. However, operating the tool is considered too difficult to avail that potential. In this report we propose a way of using geographical data for path-finding in terrain and automatically adjusting units’ speeds. We construct a cost raster from various types of geographic data, with each grid in the cost raster storing a value, representing a degree of mobility. Models using cost rasters are then created for adjusting unit speed and finding least-cost paths. We implement the models in Python as a stand-alone module, and describe the module’s internal methods, interface and how it can be used by SANDIS II.SANDIS II är ett simuleringsoch analysverktyg utvecklat av Finska Försvarsmaktens Forskningsanstalt. Svenska Totalförsvarets forskningsinstitut har utvärderat SANDIS II och funnit ett potentiellt användningsområde för verktyget som stöd vid krigsspel, inom utbildning vid Försvarshögskolan. Verktyget anses dock vara för svårhanterligt för att uppfylla detta syfte. I denna rapport föreslås metoder för att beräkna de snabbaste förflyttningsvägarna i terräng och att automatiskt justera enheters hastighet i simulatorn, baserat på geografisk data. Vi konstruerar ett kostnadsraster av olika typer av terrängdata, där varje ruta i rastret tilldelas ett värde som representerar framkomlighet. Med kostnadsraster som grund skapar vi sedan modeller för att kunna justera enheters hastigheter och beräkna framryckningsrutter med så låg kostnad som möjligt. Vi implementerar modellerna i en separat Python-modul och beskriver modulens interna metoder, gränssnitt och hur det kan användas av SANDIS II.
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Naude, Stephanus David. "Application of spatial resource data to assist in farmland valuation." Thesis, Stellenbosch : Stellenbosch University, 2011. http://hdl.handle.net/10019.1/18118.
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Thesis (MScAgric) -- Stellenbosch University, 2011.ENGLISH ABSTRACT: In South Africa more than 80 percent of the total land area is used for agriculture and subsistence livelihoods. A land transaction is generally not a recurring action for most buyers and sellers, their experience and knowledge are limited, for this reason the services of property agents and valuers are sometimes used, just to get more information available. The condition of insufficient information and the inability to observe differences in land productivity gives rise to the undervaluation of good land and overvaluation of poor land. The value of a property plays an important role in the acquisition of a bond, in this context farm valuations are essential and therefore commercial banks make more use of specialist businesses that have professional valuers available. The advent of the Internet made access to comprehensive information sources easier for property agents and valuers whose critical time and resources can now be effectively managed through Geographic Information System (GIS) integrated workflow processes. This study aims to develop the blueprint for a farm valuation support system (FVSS) that assists valuers in their application of the comparable sales method by enabling them to do the following: (1) Rapid identification of the location of the subject property and transaction properties on an electronic map. (2) Comparison of the subject property with the transaction properties in terms of value contributing attributes that can be expressed in a spatial format, mainly a) location and b) land resource quality factors not considered in existing valuation systems that primarily focus on residential property. Interpretation of soil characteristics to determine the suitability of a soil for annual or perennial crops requires specialized knowledge of soil scientists, knowledge not normally found among property valuers or estate agents. For this reason an algorithm, that generates an index value, was developed to allow easy comparison of the land of a subject property and that of transaction properties. Whether this index value reflects the soil suitability of different areas sufficiently accurate was confirmed by soil suitability data of the Breede and Berg River areas, which were obtained by soil scientists by means of a reconnaissance soil survey. This index value distinguishes the proposed FVSS from other existing property valuation systems and can therefore be used by valuers as a first approximation of a property’s soil suitability, before doing further field work. A nationwide survey was done among valuers and estate agents that provided information for the design of the proposed FVSS and proved that the need for such a system does exist and that it will be used by valuers.
AFRIKAANSE OPSOMMING: Meer as 80 persent van die totale grondoppervlakte in Suid-Afrika word gebruik vir landbou en bestaansboerdery. 'n Grondtransaksie is oor die algemeen nie 'n herhalende aksie vir die meeste kopers en verkopers nie, hul ervaring en kennis is beperk, om hierdie rede word die dienste van eiendomsagente en waardeerders soms gebruik om meer inligting beskikbaar te kry. Die toestand van onvoldoende inligting en die onvermoë om verskille in grondproduktiwiteit te identifiseer gee aanleiding tot die onderwaardering van goeie grond en oorwaardering van swak grond. Die waarde van 'n eiendom speel 'n belangrike rol in die verkryging van 'n verband. In hierdie konteks is plaaswaardasies noodsaaklik en daarom maak kommersiële banke meer gebruik van gespesialiseerde maatskappye wat oor professionele waardeerders beskik. Die koms van die Internet het toegang tot omvattende inligtingsbronne makliker gemaak vir eiendomsagente en waardeerders wie se kritiese tyd en hulpbronne nou effektief bestuur kan word deur middel van Geografiese Inligtingstelsel (GIS) geïntegreerde werksprosesse. Hierdie studie poog om die bloudruk vir 'n plaaswaardasie ondersteuningstelsel te ontwikkel wat waardeerders sal help in hul toepassing van die vergelykbare verkope metode deur hul in staat te stel om die volgende te doen: (1) Vinnige identifisering van die ligging van die betrokke onderwerp eiendom en transaksie eiendomme op 'n elektroniese kaart. (2) Vergelyking van die onderwerp eiendom met transaksie eiendomme in terme van waardedraende eienskappe wat in 'n ruimtelike formaat uitgedruk word, hoofsaaklik a) ligging en b) bodem gehaltefaktore wat nie oorweeg word in bestaande residensieel georiënteerde waardasiestelsels nie. Interpretasie van grondeienskappe om die geskiktheid van grond vir eenjarige of meerjarige gewasse te bepaal vereis gespesialiseerde kennis van grondkundiges, kennis wat nie normaalweg gevind word onder eiendomswaardeerders of eiendomsagente nie. Om hierdie rede is 'n algoritme ontwikkel sodat die grond van ‘n onderwerp eiendom d.m.v. ‘n indekswaarde met transaksie eiendomme vergelyk kan word. Die indekswaarde is akkuraat genoeg bevestig toe dit vergelyk is met grond geskiktheidsdata wat deur grondkundiges in die Breede- en Bergrivier gebiede ingesamel is. Hierdie indekswaarde onderskei die voorgestelde plaaswaardasie ondersteuningstelsel van ander bestaande eiendom waardasiestelsels en kan dus deur waardeerders gebruik word as 'n eerste bepaling van 'n eiendom se grond geskiktheid, voordat verdere veldwerk gedoen word. 'n Landwye opname is gedoen onder waardeerders en eiendomsagente wat inligting voorsien het vir die ontwerp van die voorgestelde plaaswaardasie ondersteuningstelsel, asook bewys gelewer het dat daar ‘n behoefte aan so 'n stelsel bestaan en dat dit deur waardeerders gebruik sal word.
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Vladimir, Bulatović. "Model distribuiranja geopodataka u komunalnim sistemima." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2011. http://dx.doi.org/10.2298/NS20110514BULATOVIC.
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U radu su prikazani Open Geospatial Consortium (OGC) web servisi, iz aspekta serverskih i klijentskih aplikacija. Analizirani su problemi razmene prostornih podataka u složenim sistemima sa naglaskom na komunalne službe gradova. Na osnovu analize razmene podataka, predložen je model koji unapređuje komunikaciju i pospešuje napredak celokupnog sistema implementacijom distribuiranih OGC web servisa. Predloženi model distribucije prostornih podataka može se primenjivati na sve složene sisteme, ali i unutar manjih sistema kao što su kompanije koje se sastoje iz više sektora ili podsistemaThe short review of the Open Geospatial Consortium (OGC) web services have been given in this work from the perspective of server and client applications. The problems of the exchange of spatial data in the complex systems as municipal service have been analysed. Based on analysis of data exchange, the model has been proposed to improve communication and progress of the whole system by implementing OGC web services. Described model of spatial data distribution can be applied to all complex systems, but also within smaller systems such as companies which consist of more sectors or subsystems.
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Chen, Wei. "The Design and Implementation of a Web-based GIS for Political Redistricting." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1251042506.
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Dickinson, Matthew G. Musser Dale Roy. "Architecting the spatial enablement of a film location database for enhanced geographic analysis and query." Diss., Columbia, Mo. : University of Missouri-Columbia, 2009. http://hdl.handle.net/10355/6729.
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The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Title from PDF of title page (University of Missouri--Columbia, viewed on March 19, 2010). Thesis advisor: Dr. Dale R. Musser. Includes bibliographical references.
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Fleischmann, Elfrieda Marie-Louise. "The viability of an Interactive Geographic Information System Tutor (I-GIS-T) application within the FET phase / Elfrieda Marie-Louise Fleischmann." Thesis, North-West University, 2012. http://hdl.handle.net/10394/8738.
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When comparing numerous educational advantages of Geographic Information Systems (GIS) with the slow integration of GIS practice within education globally, results are confounding. This paradoxical development is also found within South Africa. In fact, GIS has been included in the Further Education and Training (FET) phase by the Department of Basic Education (DoBE) since 2006. However, following the same global trend, curriculum development in South Africa has outpaced educational GIS software research. In addition, the e-learning White paper of SA also urges software development. Barriers hindering GIS practice include the lack of suitable curriculum-aligned GIS software within the South African digital divide context. A need therefore exists for further research regarding educational GIS practice applications within South Africa.
Bearing this in mind, a case study was done investigating the viability of an educationally orientated Interactive-GIS-Tutor (I-GIS-T) application within FET phase in Geography. The study was conducted with the grade 11 Geography learners of a secondary school in a rural area of KwaZulu-Natal, as well as with their Geography teacher and two other Geography teachers of the same school. These three teachers have different ICT/GIS abilities and years of teaching experience. Furthermore, the study aimed to identify the main GIS educational barriers, globally and locally, as well as to investigate the viability of the I-GIS-T in relation to these identified barriers.
The strategy followed was a case study evaluation, with a qualitative approach to data collection and analysis, supported by quantitative data, since this was most suited to the research questions and context. Pragmatism was therefore the underpinning philosophy within this case study.
One-on-one semi-structured teacher interviews were conducted to identify the main barriers of GIS education within the FET phases. Data collection by means of questionnaires, individual interviews, focus group interviews, video recordings and field notes provided a thick description regarding the viability of the I-GIS-T within the natural class setting. ATLAS.tiTM and SPSS software were utilised with analysis of qualitative and supportive quantitative data. Attitudinal tests provided supportive quantitative data. Findings indicated that main GIS practice barriers, globally as well as in the school of study, were the lack of preparation time, a full curriculum, lack of GIS support, complex educational GIS software and the teacher‟s lack of ICT skills. The grade 11 Geography teacher and most of the learners evaluated the I-GIS-T as workable. The I-GIS-T also surmounted the main GIS practice barriers. Furthermore, GIS attitudinal tests revealed an overall positive shift on all the attitudinal questions. The combination of lack of basic computer skills and language (where English is not the mother tongue) were the main reasons why some learners suggested that they struggled with the software. Future I-GIS-T development recommended incorporation of a multi-language choice component, as well as exploratory activities.
Within this case study, learners who have mastered basic computer skills found the I-GIS-T effective and workable and therefore a viable GIS software application option within the FET phase Geography. In order to be able to generalise statistically, further quantitative research is suggested. In fact, future quantitative research, employing SEM (Structural Equation Modeling) within the Technology Acceptance Model (TAM) might prove the I-GIS-T to be a viable option within FET schools throughout SA, as well as in other developing countries.Thesis (MEd (Curriculum Development))--North-West University, Potchefstroom Campus, 2013
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Abrahamsson, Viktor. "Visualisering av geospatialdata från firms i heatmaps : En jämförelse av visualiseringstekniker med D3.js och Heatmap.js baserat på utritningstid." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18776.
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Stora mängder miljödata samlas hela tiden in och för att använda all data behöver den förstås av användarna så de kan applicera kunskapen inom deras område. Visualisering skapar förståelse om data. Heatmaps kan användas för att visualisera geospatial data och interaktivitet är ett hjälpmedel för att skapa ytterligare grafiska representationer. I detta arbete evalueras JavaScript-teknikerna D3.js, Heatmap.js och Vue.js angående vad som är mest lämpligt för att visualisera geospatial data utifrån effektiviteten vid utritning av heatmaps. Ett experiment genomförs där biblioteken D3.js, Heatmap.js testas i ramverket Vue.js. Detta för att ta reda på vilket bibliotek som föredras vid utritning av heatmaps och om ett ramverk påverkar resultatet. En miljö sätts upp för att genomföra undersökningen och tester för att påvisa detta. Resultatet indikerar att Heatmap.js och mindre datamängder ger en lägre utritningstid i den tillämpning som undersökts. I framtiden är det intressant att undersöka flera bibliotek och flera datamängder.
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Brazenor, Clare. "The spatial dimensions of Native Title." Connect to thesis, 2000. http://eprints.unimelb.edu.au/archive/00001050.
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Lam, Juan Carlos. "Dynamic Analysis of Levee Infrastructure Failure Risk: A Framework for Enhanced Critical Infrastructure Management." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/43106.
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Current models that assess infrastructure failure risk are â linear,â and therefore, only consider the direct influence attributed to each factor that defines risk. These models do not consider the undeniable relationships that exist among these parameters. In reality, factors that define risk are interdependent and influence each other in a â non-linearâ fashion through feedback effects. Current infrastructure failure risk assessment models are also static, and do not allow infrastructure managers and decision makers to evaluate the impacts over time, especially the long-term impact of risk mitigation actions. Factors that define infrastructure failure risk are in constant change.
In a strategic manner, this research proposes a new risk-based infrastructure management framework and supporting system, Risk-Based Dynamic Infrastructure Management System (RiskDIMS), which moves from linear to non-linear risk assessment by applying systems engineering methods and analogs developed to address non-linear complex problems. The approach suggests dynamically integrating principal factors that define infrastructure failure risk using a unique platform that leverages Geospatial Information System services and extensions in an unprecedented manner. RiskDIMS is expected to produce results that are often counterintuitive and unexpected, but aligned to our complex reality, suggesting that the combination of geospatial and temporal analyses is required for sustainable risk-based decision making. To better illustrate the value added of temporal analysis in risk assessment, this study also develops and implements a non-linear dynamic model to simulate the behavior over time of infrastructure failure risk associated with an existing network of levees in New Orleans due to diverse infrastructure management investments. Although, the framework and RiskDIMS are discussed here in the context of levees, the concept applies to other critical infrastructure assets and systems. This research aims to become the foundation for future risk analysis system implementation.Master of Science
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Salem, Tawfiq. "Learning to Map the Visual and Auditory World." UKnowledge, 2019. https://uknowledge.uky.edu/cs_etds/86.
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The appearance of the world varies dramatically not only from place to place but also from hour to hour and month to month. Billions of images that capture this complex relationship are uploaded to social-media websites every day and often are associated with precise time and location metadata. This rich source of data can be beneficial to improve our understanding of the globe. In this work, we propose a general framework that uses these publicly available images for constructing dense maps of different ground-level attributes from overhead imagery. In particular, we use well-defined probabilistic models and a weakly-supervised, multi-task training strategy to provide an estimate of the expected visual and auditory ground-level attributes consisting of the type of scenes, objects, and sounds a person can experience at a location. Through a large-scale evaluation on real data, we show that our learned models can be used for applications including mapping, image localization, image retrieval, and metadata verification.
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LAI, KUANG-HUNG, and 賴光鴻. "Golf Fairway Management based on Geospatial Information Systems." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/54241949703428989988.
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碩士育達商業技術學院
資訊管理所
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Golf players have been rapidly growing but always leading to a jammed fairway. The management efficiency needs to be significantly improved by using an information system. This study utilized the GPS as the positioning device to obtain the caddie car’s location and transmit it to a GIS for the golf fairway management. By using this geospatial-based information management system, the players do not necessarily play golf hole by hole to avoid any jammed fairway. It has been shown that the management system developed is low cost and easy to use, interact, and maintain. This system is expected to promote the efficiency for the golf fairway management and meet the golf players’ requirement to achieve a high service quality.
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Subbiah, Ganesh. "DAGIS : automatic discovery of annotated Geospatial Information Services Framework for geospatial Semantic Web /." 2007. http://proquest.umi.com/pqdweb?did=1453232631&sid=1&Fmt=2&clientId=10361&RQT=309&VName=PQD.
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Nejatbakhsh, Esfahani Nazereh. "Interoperability of Traffic Infrastructure Planning and Geospatial Information Systems." Doctoral thesis, 2016. https://tud.qucosa.de/id/qucosa%3A31143.
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Building Information Modelling (BIM) as a Model-based design facilitates to investigate multiple solutions in the infrastructure planning process. The most important reason for implementing model-based design is to help designers and to increase communication between different design parties. It decentralizes and coordinates team collaboration and facilitates faster and lossless project data exchange and management across extended teams and external partners in project lifecycle.
Infrastructure are fundamental facilities, services, and installations needed for the functioning of a community or society, such as transportation, roads, communication systems, water and power networks, as well as power plants. Geospatial Information Systems (GIS) as the digital representation of the world are systems for maintaining, managing, modelling, analyzing, and visualizing of the world data including infrastructure. High level infrastructure suits mostly facilitate to analyze the infrastructure design based on the international or user defined standards. Called regulation1-based design, this minimizes errors, reduces costly design conflicts, increases time savings and provides consistent project quality, yet mostly in standalone solutions.
Tasks of infrastructure usually require both model based and regulation based design packages. Infrastructure tasks deal with cross-domain information. However, the corresponding data is split in several domain models. Besides infrastructure projects demand a lot of decision makings on governmental as well as on private level considering different data models. Therefore lossless flow of project data as well as documents like regulations across project team, stakeholders, governmental and private level is highly
important. Yet infrastructure projects have largely been absent from product modelling discourses for a long time. Thus, as will be explained in chapter 2 interoperability is needed in infrastructure processes.
Multimodel (MM) is one of the interoperability methods which enable heterogeneous data models from various domains get bundled together into a container keeping their original format. Existing interoperability methods including existing MM solutions can’t satisfactorily fulfill the typical demands of infrastructure information processes like dynamic data resources and a huge amount of inter model relations. Therefore chapter 3 concept of infrastructure information modelling investigates a method for loose and rule based coupling of exchangeable heterogeneous information spaces. This hypothesis is an extension for the existing MM to a rule-based Multimodel named extended Multimodel (eMM) with semantic rules – instead of static links. The semantic rules will be used to describe relations between data elements of various models dynamically in a link-database.
Most of the confusion about geospatial data models arises from their diversity. In some of these data models spatial IDs are the basic identities of entities and in some other data models there are no IDs. That is why in the geospatial data, data structure is more important than data models. There are always spatial indexes that enable accessing to the geodata. The most important unification of data models involved in infrastructure projects is the spatiality. Explained in chapter 4 the method of infrastructure information modelling for interoperation in spatial domains generate interlinks through spatial identity of entities. Match finding through spatial links enables any kind of data models sharing spatial property get interlinked. Through such spatial links each entity receives the spatial information from other data models which is related to the target entity due to sharing equivalent spatial index. This information will be the virtual properties for the object. The thesis uses Nearest Neighborhood algorithm for spatial match finding and performs filtering and refining approaches. For the abstraction of the spatial matching results hierarchical filtering techniques are used for refining the virtual properties. These approaches focus on two main application areas which are product model and Level of Detail (LoD).
For the eMM suggested in this thesis a rule based interoperability method between arbitrary data models of spatial domain has been developed. The implementation of this method enables transaction of data in spatial domains run loss less. The system architecture and the implementation which has been applied on the case study of this thesis namely infrastructure and geospatial data models are described in chapter 5.
Achieving afore mentioned aims results in reducing the whole project lifecycle costs, increasing reliability of the comprehensive fundamental information, and consequently in independent, cost-effective, aesthetically pleasing, and environmentally sensitive infrastructure design.:ABSTRACT 4
KEYWORDS 7
TABLE OF CONTENT 8
LIST OF FIGURES 9
LIST OF TABLES 11
LIST OF ABBREVIATION 12
INTRODUCTION 13
1.1. A GENERAL VIEW 14
1.2. PROBLEM STATEMENT 15
1.3. OBJECTIVES 17
1.4. APPROACH 18
1.5. STRUCTURE OF THESIS 18
INTEROPERABILITY IN INFRASTRUCTURE ENGINEERING 20
2.1. STATE OF INTEROPERABILITY 21
2.1.1. Interoperability of GIS and BIM 23
2.1.2. Interoperability of GIS and Infrastructure 25
2.2. MAIN CHALLENGES AND RELATED WORK 27
2.3. INFRASTRUCTURE MODELING IN GEOSPATIAL CONTEXT 29
2.3.1. LamdXML: Infrastructure Data Standards 32
2.3.2. CityGML: Geospatial Data Standards 33
2.3.3. LandXML and CityGML 36
2.4. INTEROPERABILITY AND MULTIMODEL TECHNOLOGY 39
2.5. LIMITATIONS OF EXISTING APPROACHES 41
INFRASTRUCTURE INFORMATION MODELLING 44
3.1. MULTI MODEL FOR GEOSPATIAL AND INFRASTRUCTURE DATA MODELS 45
3.2. LINKING APPROACH, QUERYING AND FILTERING 48
3.2.1. Virtual Properties via Link Model 49
3.3. MULTI MODEL AS AN INTERDISCIPLINARY METHOD 52
3.4. USING LEVEL OF DETAIL (LOD) FOR FILTERING 53
SPATIAL MODELLING AND PROCESSING 58
4.1. SPATIAL IDENTIFIERS 59
4.1.1. Spatial Indexes 60
4.1.2. Tree-Based Spatial Indexes 61
4.2. NEAREST NEIGHBORHOOD AS A BASIC LINK METHOD 63
4.3. HIERARCHICAL FILTERING 70
4.4. OTHER FUNCTIONAL LINK METHODS 75
4.5. ADVANCES AND LIMITATIONS OF FUNCTIONAL LINK METHODS 76
IMPLEMENTATION OF THE PROPOSED IIM METHOD 77
5.1. IMPLEMENTATION 78
5.2. CASE STUDY 83
CONCLUSION 89
6.1. SUMMERY 90
6.2. DISCUSSION OF RESULTS 92
6.3. FUTURE WORK 93
BIBLIOGRAPHY 94
7.1. BOOKS AND PAPERS 95
7.2. WEBSITES 101
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Hu, Yonggang. "A web-based 2D/3D geospatial image visualization system /." 2004. http://wwwlib.umi.com/cr/yorku/fullcit?pMQ99327.
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Thesis (M.Sc.)--York University, 2004. Graduate Programme in Earth and Space Science & Engineering.Typescript. Includes bibliographical references (leaves 136-143). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://wwwlib.umi.com/cr/yorku/fullcit?pMQ99327