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Cartensen Jr., Lawrence W. "Map Data Processing In Geographic Information Systems." Cartographic Perspectives, no. 05 (March 1, 1990): 29. http://dx.doi.org/10.14714/cp05.1126.
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Kasturi, R., R. Fernandez, M. L. Amlani, and W. C. Feng. "Map data processing in geographic information systems." Computer 22, no. 12 (December 1989): 10–21. http://dx.doi.org/10.1109/2.42028.
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Reibel, Michael. "Geographic Information Systems and Spatial Data Processing in Demography: a Review." Population Research and Policy Review 26, no. 5-6 (September 6, 2007): 601–18. http://dx.doi.org/10.1007/s11113-007-9046-5.
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Al Sawy, Yaser Mohammad Mohammad, and Hisham Saad Zaghloul. "Geographic information systems representations in resources description and access (RDA)." International Journal of ADVANCED AND APPLIED SCIENCES 8, no. 8 (August 2021): 58–62. http://dx.doi.org/10.21833/ijaas.2021.08.008.
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The study aimed at linking geographic information systems and their use in library and information science, as they represent spatial and geographical information represented in processing in machine-readable cataloging (MARC) fields, which are represented in the Resources Description and Access in the form of an internationally agreed drawing or scheme, and geographic information is of interest to a wide range of beneficiaries in various fields, and to develop work in the field of libraries and information in light of the rules for characterization and availability of resources and in view of the lack of previous studies dealing with this topic; It was necessary to think about good planning to equip libraries and information centers at a high level so that they would be able to deal with information sources and the correct representation of geographical data through geographic information systems, the study was keen to apply the standards of the analytical and applied approach where all the appropriate fields to represent data geographically are reviewed. and the application of the appropriate subfields to it, the study reached the possibility of using the field 651 specifically and activating the hyperlink feature through it to display more links that include drawings, maps, data, and vital statistics associated with it, and thus the field 651 turns into an interactive feature to display bibliography, geography and information data with linking to all Pages and links via the Internet or in full-text databases as well as abstract databases, and innovative addition to the performance of field 651 to become a descriptive field and a tool for geographical and informational representation at the same time.
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En-Nejjary, Driss, Francois Pinet, and Myoung-Ah Kang. "Modeling and Computing Overlapping Aggregation of Large Data Sequences in Geographic Information Systems." International Journal of Information System Modeling and Design 10, no. 1 (January 2019): 20–41. http://dx.doi.org/10.4018/ijismd.2019010102.
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Recently, in the field of information systems, the acquisition of geo-referenced data has made a huge leap forward in terms of technology. There is a real issue in terms of the data processing optimization, and different research works have been proposed to analyze large geo-referenced datasets based on multi-core approaches. In this article, different methods based on general-purpose logic on graphics processing unit (GPGPU) are modelled and compared to parallelize overlapping aggregations of raster sequences. Our methods are tested on a sequence of rasters representing the evolution of temperature over time for the same region. Each raster corresponds to a different data acquisition time period, and each raster geo-referenced cell is associated with a temperature value. This article proposes optimized methods to calculate the average temperature for the region for all the possible raster subsequences of a determined length, i.e., to calculate overlapping aggregated data summaries. In these aggregations, the same subsets of values are aggregated several times. For example, this type of aggregation can be useful in different environmental data analyses, e.g., to pre-calculate all the average temperatures in a database. The present article highlights a significant increase in performance and shows that the use of GPGPU parallel processing enabled us to run the aggregations up to more than 50 times faster than the sequential method including data transfer cost and more than 200 times faster without data transfer cost.
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Yüksek, K., M. Alparslan, and E. Mendi. "Effective 3-D surface modeling for geographic information systems." Natural Hazards and Earth System Sciences 16, no. 1 (January 18, 2016): 123–33. http://dx.doi.org/10.5194/nhess-16-123-2016.
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Abstract. In this work, we propose a dynamic, flexible and interactive urban digital terrain platform with spatial data and query processing capabilities of geographic information systems, multimedia database functionality and graphical modeling infrastructure. A new data element, called Geo-Node, which stores image, spatial data and 3-D CAD objects is developed using an efficient data structure. The system effectively handles data transfer of Geo-Nodes between main memory and secondary storage with an optimized directional replacement policy (DRP) based buffer management scheme. Polyhedron structures are used in digital surface modeling and smoothing process is performed by interpolation. The experimental results show that our framework achieves high performance and works effectively with urban scenes independent from the amount of spatial data and image size. The proposed platform may contribute to the development of various applications such as Web GIS systems based on 3-D graphics standards (e.g., X3-D and VRML) and services which integrate multi-dimensional spatial information and satellite/aerial imagery.
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Yüksek, K., M. Alparslan, and E. Mendi. "Effective 3-D surface modeling for geographic information systems." Natural Hazards and Earth System Sciences Discussions 1, no. 6 (November 5, 2013): 6093–131. http://dx.doi.org/10.5194/nhessd-1-6093-2013.
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Abstract. In this work, we propose a dynamic, flexible and interactive urban digital terrain platform (DTP) with spatial data and query processing capabilities of Geographic Information Systems (GIS), multimedia database functionality and graphical modeling infrastructure. A new data element, called Geo-Node, which stores image, spatial data and 3-D CAD objects is developed using an efficient data structure. The system effectively handles data transfer of Geo-Nodes between main memory and secondary storage with an optimized Directional Replacement Policy (DRP) based buffer management scheme. Polyhedron structures are used in Digital Surface Modeling (DSM) and smoothing process is performed by interpolation. The experimental results show that our framework achieves high performance and works effectively with urban scenes independent from the amount of spatial data and image size. The proposed platform may contribute to the development of various applications such as Web GIS systems based on 3-D graphics standards (e.g. X3-D and VRML) and services which integrate multi-dimensional spatial information and satellite/aerial imagery.
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Xhafa, Sonila, and Albana Kosovrasti. "Geographic Information Systems (GIS) in Urban Planning." European Journal of Interdisciplinary Studies 1, no. 1 (April 30, 2015): 85. http://dx.doi.org/10.26417/ejis.v1i1.p85-92.
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Geographic information systems can be defined as a intelligent tool, to which it relates techniques for the implementation of processes such as the introduction, recording, storage, handling, processing and generation of spatial data. Use of GIS in urban planning helps and guides planners for an orderly development of settlements and infrastructure facilities within and outside urban areas. Continued growth of the population in urban centers generates the need for expansion of urban space, for its planning in terms of physical and social infrastructures in the service of the community, based on the principles of sustainable development. In addition urbanization is accompanied with numerous structural transformations and functional cities, which should be evaluated in spatial context, to be managed and planned according to the principles of sustainable development. Urban planning connects directly with land use and design of the urban environment, including physical and social infrastructure in service of the urban community, constituting a challenge to global levels. Use of GIS in this field is a different approach regarding the space, its development and design, analysis and modeling of various processes occurring in it, as well as interconnections between these processes or developments in space.
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Montgomery, Chris, and Philipp Stoeckle. "Geographic information systems and perceptual dialectology: a method for processing draw-a-map data." Journal of Linguistic Geography 1, no. 1 (June 2013): 52–85. http://dx.doi.org/10.1017/jlg.2013.4.
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This article presents a new method for processing data gathered using the “draw-a-map” task in perceptual dialectology (PD) studies. Such tasks produce large numbers of maps containing many lines indicating nonlinguists’ perceptions of the location and extent of dialect areas. Although individual maps are interesting, and numerical data relating to the relative prominence of dialect areas can be extracted, an important value of the draw-a-map task is in aggregating data. This was always an aim of the contemporary PD method, although the nature of the data has meant that this has not always been possible. Here, we argue for the use of geographic information systems (GIS) in order to aggregate, process, and display PD data. Using case studies from the United Kingdom and Germany, we present examples of data processed using GIS and illustrate the future possibilities for the use of GIS in PD research.
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Gonçalves, Alexandre B. "Spatial Analysis and Geographic Information Systems as Tools for Sustainability Research." Sustainability 13, no. 2 (January 11, 2021): 612. http://dx.doi.org/10.3390/su13020612.
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The multidisciplinary fields of study on sustainability, which relate to ecological, geophysical, societal and environmental research, demand for the availability and processing of data that is capable to represent spatial phenomena [...]
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Gonçalves, Alexandre B. "Spatial Analysis and Geographic Information Systems as Tools for Sustainability Research." Sustainability 13, no. 2 (January 11, 2021): 612. http://dx.doi.org/10.3390/su13020612.
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The multidisciplinary fields of study on sustainability, which relate to ecological, geophysical, societal and environmental research, demand for the availability and processing of data that is capable to represent spatial phenomena [...]
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Yang, Jiudong, Fenghua Wu, Erlong Lai, Mingyue Liu, Bo Liu, and Yingchao Zhao. "Analysis of Visualization Technology of 3D Spatial Geographic Information System." Mobile Information Systems 2021 (May 29, 2021): 1–9. http://dx.doi.org/10.1155/2021/9173281.
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Traditional urban planning is generally expressed in a two-dimensional geographic information system, but its performance is limited to the plane direction. It cannot give people more natural feelings and visionary experiences. The rapid development of three-dimensional geographic information systems brings people geographic information. The three-dimensional intuitive experience, but the traditional three-dimensional geographic information system has the disadvantages that the spatial properties are incompatible, the image rendering speed is slow, and the visualization effect is poor. In this paper, the traditional domain-oriented processing method is improved in spatial data processing and modeling. An optimized object-oriented optimization algorithm is proposed. The three-dimensional geographic information is optimized based on a dynamic multiresolution model and multilevel detail processing technology. The rendering of the system enhances the visualization. Based on the optimization algorithm of data processing and visualization technology proposed in this paper, the spatial data processing platform GISdata of 3D GIS is designed in this paper. At the same time, the 3D GIS is visualized based on OpenGL visualization software. It is shown that the optimization algorithm proposed in this paper has excellent preexperimental effects.
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Noble, Safiya Umoja. "Geographic Information Systems: A Critical Look at the Commercialization of Public Information." Human Geography 4, no. 3 (November 2011): 88–105. http://dx.doi.org/10.1177/194277861100400306.
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This paper is a political economic critique and exploration of the ways that private-sector companies in the Geographic Information Systems (GIS) industry have emerged and consolidated themselves. This includes a discussion about buying, analyzing and selling spatial data mined from the Internet and other public resources, and how this is packaged and sold to other corporations for profit. I detail GIS research and development projects and the activities that are fueling growth. One of the fastest growing sectors of the GIS business is data mining and information processing, where companies are able to capitalize on the flow of information through proprietary systems or public networks like the Internet, and as such, are accumulating great wealth. GIS software projects are often the outgrowth of direct political and economic policy and funding, and industry giants are afforded greater access to purchasing huge data sets and labor to analyze and re-sell it. Public adoption and usage of GIS tools via the Internet is creating competitive tensions within the GIS industry and producing complex new partnerships. What is most critical to explore at this moment are the details of the industry, who it serves, and in whose interest. An understanding of the GIS terrain will better equip the public in making informed decisions about how state policies and consumer practices are contributing to, or disrupting, these activities.
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Percivall, G. S., M. Reichardt, and T. Taylor. "COMMON APPROACH TO GEOPROCESSING OF UAV DATA ACROSS APPLICATION DOMAINS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W4 (August 26, 2015): 275–79. http://dx.doi.org/10.5194/isprsarchives-xl-1-w4-275-2015.
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UAVs are a disruptive technology bringing new geographic data and information to many application domains. UASs are similar to other geographic imagery systems so existing frameworks are applicable. But the diversity of UAVs as platforms along with the diversity of available sensors are presenting challenges in the processing and creation of geospatial products. Efficient processing and dissemination of the data is achieved using software and systems that implement open standards. The challenges identified point to the need for use of existing standards and extending standards. Results from the use of the OGC Sensor Web Enablement set of standards are presented. Next steps in the progress of UAVs and UASs may follow the path of open data, open source and open standards.
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Zhang, Junqiang, Lirui Xu, Yi Zhang, Gang Liu, Lingjun Zhao, and Yuzhu Wang. "An On-Demand Scalable Model for Geographic Information System (GIS) Data Processing in a Cloud GIS." ISPRS International Journal of Geo-Information 8, no. 9 (September 4, 2019): 392. http://dx.doi.org/10.3390/ijgi8090392.
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With the rapid development of information processing technology and continuously evolving technological hardware and software, the scale of spatial data has grown exponentially. This has necessitated that stricter requirements be placed on the way data is processed. The traditional single-machine centralized data processing method is gradually being replaced by the network-based cloud geographic information system (GIS) mode. However, the information processing method of the business system in the existing spatial information network environment is difficult to expand, which limits the application of the business system. This paper proposes an on-demand and extended model for the GIS data processing procedure that considers the three-way separation of algorithm development, business processes, and the operational interface, and can implement an on-demand expansion of business processes by process modeling the business and task scheduling the workflow engine. This can expand the scope of business systems and improve the efficiency of business system construction.
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Zolnikova, Julia, Eugeni Ovsyannikov, and Ivan Soloviev. "Geoinformation support of the academic discipline “Geography of the population with the basics of demography”." InterCarto. InterGIS 26, no. 1 (2020): 279–88. http://dx.doi.org/10.35595/2414-9179-2020-1-26-279-288.
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The authors pointed out that the rapid growth of technical supply and the emergence of new information and communication technologies has led to the common usage of new technologies towards the various functions and needs of higher education. A university graduate should have the skills to develop and use information systems for decision support as a basic framework for analyzing unfolding situations, developing informed decisions and as a result — problem-solving. The connecting link for professional skills development appears as a GIS technology usage. GIS provide unique opportunities for its implementation in educational programs putting in touch with forecasting and analysis of the phenomena of the world around us; there are comprehension and allocation of the main causes and factors, possible consequences, with subsequent planning and adoption of strategic decisions of the actions taken. Geoinformation technologies can change the content of activities for both teachers and students. GIS technologies allow to master the methods of data gathering and processing; development of models and forecasts for specific geographical problem-solving. Students, using GIS, unaidedly obtain data, absorb new methods of data processing, receive best practices for working in various fields. The article gives a description and analyzes of the GIS usage for studying the course “Population geography with the demography basics”. The GIS usage for studying the course “Population geography with the demography basics” allows to significantly diversify the methods and forms of laboratory studies, student’s research work. In the course of work with GIS, a geographer comprehends the features of spatial data presented in digital form, analyzes geographic data, presents geographic data in the form of maps, tables, graphs.
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Maksim, A. Denisov, A. Chzhan Ekaterina, and A. Korneeva Anna. "NON-PARAMETRIC APPROACH FOR PRELIMINARY PROCESSING OF EARTH REMOTE SENSING DATA." E3S Web of Conferences 75 (2019): 01015. http://dx.doi.org/10.1051/e3sconf/20197501015.
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Researches described in the paper are aimed at studying the methods of data preprocessing from a sample of observations of a system characterized by input-output values of variables. We consider the data containing omissions and outliers. Algorithms for leveling outliers in a sample of observations, as well as algorithms for filling data gaps are presented. In addition, it is implemented a data repair algorithm that is able to recover lost values (outliers) after their exclusion. Our studies are useful in geographic information systems or in the analysis of information received from satellites during remote sensing of the earth.
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Mejia Alzate, Mario Andres, Joel David Melo Trujillo, Antonio Padilha Feltrin, Carmen Cecilia Sánchez Zuleta, and Juan Pablo Fernández Gutiérrez. "Geographical Information Systems as a Tool to Assist the Electricity Distribution Networks Planning." Revista EIA 15, no. 29 (May 19, 2018): 71–85. http://dx.doi.org/10.24050/reia.v15i29.1138.
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In recent years, the population growth in urban areas of Latin American cities has resulted in an increase in demand for electricity in a dispersed manner, bringing challenges to the planning of distribution systems to supply this demand. In addition, incentives for the installation of distributed generation make it necessary to carry out analyzes with a spatial perspective to determine the places of impact in the electricity distribution networks. Geographic information systems are computational tools that allow the processing of data with geographic reference. These systems can collaborate in the visualization of the socioeconomic characteristics and the variables distributed in the zone of study, being able to provide information to the distribution planners. This work shows computational tools that will help distribution utilities, using techniques available in geographic information systems to characterize the local factors in concession zone of the distribution utilities.
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Chen, Dong Qin. "Application of Gis in Environmental Impact Assessment." Advanced Materials Research 989-994 (July 2014): 4855–60. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4855.
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This paper Based on the composition, types, functions and applications in the field of geographic information systems, analyzes the advantages of GIS technology in environmental impact assessment. From the project environmental impact assessment (EIA) of the limitations of departure, outlining the current status of the EIA study, while an overview of the geographic information system (GIS) functionality and applications, focusing on the status of the application of environmental impact assessment in the field of geographic information systems Necessity and Prospect. And use some of the existing management and analysis of environmental monitoring information system based on GIS examples further illustrate the application of GIS in Environmental Monitoring Data Management Analysis, give full play to the advantages of GIS spatial information processing and comprehensive analysis of expression, making the environmental monitoring data more effective.
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Ikhsan, Fahrudi Ahwan, Fahmi Arif Kurnianto, Bejo Apriyanto, and Elan Artono Nurdin. "GEOGRAPHY SKILLS DOMAIN TAXONOMY." Geosfera Indonesia 2, no. 1 (April 30, 2018): 54. http://dx.doi.org/10.19184/geosi.v2i1.7525.
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This study aims to explain the geography student skills domain. The focus of this research is the domain of geography skills possessed by students. The research method with the a qualitative approach. Subjects were students of Jember University geography education consisting of 2 men and 2 women with indicators of academic ability value of the national geography exam results. Data collection techniques by observation and interview. Data were analyzed using the processing unit, categorization and interpretation of data. The findings show that the skills of geography for prospective teachers of geography and geographers to be possessed composed as follows: 1st level thinking skills geography (space, phenomena, location and place, region, environment, coordinate, and humans), level 2 skills of analysis geography (scale, distribution, patterns of interaction, interrelation, connectivity, corologi, descriptions, and agglomeration), and level 3 skills of geographic applications (mapping/cartography, remote sensing, geographic information systems, surveying and mapping of the area, and Global Position systems (GPS). This level difference is used to distinguish the use of knowledge and application of the science of geography.
Keywords: Students of geography education, geography Skills
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Ganapathy, Jayanthi, and Uma V. "Reasoning Temporally Attributed Spatial Entity Knowledge Towards Qualitative Inference of Geographic Process." International Journal of Intelligent Information Technologies 15, no. 2 (April 2019): 32–53. http://dx.doi.org/10.4018/ijiit.2019040103.
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Knowledge discovery with geo-spatial information processing is of prime importance in geomorphology. The temporal characteristics of evolving geographic features result in geo-spatial events that occur at a specific geographic location. Those events when consecutively occur result in a geo-spatial process that causes a phenomenal change over the period of time. Event and process are essential constituents in geo-spatial dynamism. The geo-spatial data acquired by remote sensing technology is the source of input for knowledge discovery of geographic features. This article performs qualitative inference of geographic process by identifying events causing geo-spatial deformation over time. The evolving geographic features and their types have association with spatial and temporal factors. Event calculus-based spatial knowledge formalism allows reasoning over intervals of time. Hence, representation of Event Attributed Spatial Entity (EASE) Knowledge is proposed. Logical event-based queries are evaluated on the formal representation of EASE Knowledge Base. Event-based queries are executed on the proposed knowledge base and when experimented on, real data sets yielded comprehensive results. Further, the significance of EASE-based spatio-temporal reasoning is proved by evaluating with respect to query processing time and accuracy. The enhancement of EASE with a direction for further development to explore its significance towards prediction is discussed towards the end.
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Ďuračiová, R. "Querying Uncertain Data in Geospatial Object-relational Databases Using SQL and Fuzzy Sets." Slovak Journal of Civil Engineering 21, no. 4 (December 1, 2013): 1–12. http://dx.doi.org/10.2478/sjce-2013-0016.
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Abstract This paper deals with uncertainty modeling in spatial object-relational databases by the use of Structured Query Language (SQL). The fundamental principles of uncertainty modeling by fuzzy sets are applied in the area of geographic information systems (GIS) and spatial databases. A spatial database system includes types of spatial data and implements the spatial extension of SQL. The implementation of the principles of fuzzy logic to spatial databases brings an opportunity for the efficient processing of uncertain data, which is important, especially when using various data sources (e.g., multi-criteria decision making (MCDM) on the basis of heterogeneous spatial data resources). The modeling and data processing of uncertainties are presented in relation to the applicable International Organization for Standardization (ISO) standards (standards of the series 19100 Geographic information) and the relevant specifications of the Open Geospatial Consortium (OGC). The fuzzy spatial query approach is applied and tested on a case study with a fundamental database for GIS in Slovakia.
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Spencer, G. A., D. F. Pridmore, and D. J. Isles. "Data integration of exploration data using colour space on an image processor." Exploration Geophysics 20, no. 2 (1989): 31. http://dx.doi.org/10.1071/eg989031.
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lmage processing in exploration has rapidly evolved into the field of data integration, whereby independent data sets which coincide in space are displayed concurrently. Interrelation-ships between data sets which may be crucial to exploration can thus be identified much more effectively than with conventional hard copy overlays. The use of perceptual colour space; hue, saturation and luminosity (HSL) provides an effective means for integrating raster data sets, as illustrated with the multi-spectral scanner and airborne geophysical data from the Kambalda area in Western Australia. The integration process must also cater for data in vector format, which is more appropriate for geological, topographic and cultural information, but to date, image processing systems have poorly captured and managed such data. As a consequence, the merging of vector data management software such as GIS (geographic information system) with existing advanced image enhancement packages is an area of active development in the exploration industry.
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Xiao, Yi. "The Building of Three-Dimensional Geographic Information System Based on Virtual Reality." Applied Mechanics and Materials 443 (October 2013): 35–38. http://dx.doi.org/10.4028/www.scientific.net/amm.443.35.
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Most of the existing literature research how to combine the three dimensional geometry model 3 d geographic information systems (GIS) technology, such as houses, trees, and so on. The grid model 3 d geometric features rare, they have less data, but the poor real-time problems still exist. It rarely have in the literature that the 3 d GIS and fog increase, it has a larger data particle system model. Therefore, this paper aims to study more deeply. Therefore, the 3 d GIS visualization algorithm is proposed on the basis of image processing method, and the results show that, with the real scene to the time cost less.
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Winoto, Sakti, Abdul Fadlil, and Rusydi Umar. "Penerapan Haversine Formula Pada Penerimaan Peserta Didik Baru Jalur Zonasi." JURNAL MEDIA INFORMATIKA BUDIDARMA 4, no. 1 (January 29, 2020): 103. http://dx.doi.org/10.30865/mib.v4i1.1573.
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The government through the Ministry of Education and Culture issued a regulation on the admission of new students as stipulated in the Minister of Education Regulation Number 51 of 2018 to apply the zoning system. The regulation emphasizes that schools are required to give priority to prospective students who are in the domicile of the closest radius to the location of the school. To facilitate relevant agencies and the public in getting the closest school information in a zone, it is necessary to create an information system that can present information related to the existence or location of the school. One of the systems designed to solve and work with spatially referenced data or geographic coordinates is the Geographic Information System (GIS). Geographical Information Systems have the ability to perform data processing and freeze certain operations by displaying maps and able to analyze data properly. Research carried out applies the haversine formula in the search for the location of the closest school. To build digital maps using Google Maps, and developed with mobile services. The Google Maps API presents the programming functions provided by Google Maps for integration in the web or the application that is being created. While information about school data is presented and integrated in the goegraphic application.
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Materuhin, A. V. "Problems in the development of GIS based on data stream management systems." Geodesy and Cartography 922, no. 4 (May 20, 2017): 44–47. http://dx.doi.org/10.22389/0016-7126-2017-922-4-44-47.
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The article provides the analysis of the current situation in the use of data stream management systems (DSMS) and discusses the reasons why this technology is not used to develop geographic information systems. DSMS, despite its novelty, has ceased to be a pure research project and is used in industrial applications. However, this technology is not used to design the GIS, although the necessity of processing and analyzing of spatio-temporal data streams arises in many practically important applications. The essence of the current problematic situation is the gap between new technological capabilities and the lack of a theoretical framework for the processing and analysis of spatio-temporal data streams in DSMS. Existing spatial analytics algorithms are designed for relational databases with precomputed spatial indexes and are not suitable for DSMS. The article shows that, to resolve the current problematic situation with the geoinformation systems development based on DSMS should do the following
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Candy, A. S., A. Avdis, J. Hill, G. J. Gorman, and M. D. Piggott. "Integration of Geographic Information System frameworks into domain discretisation and meshing processes for geophysical models." Geoscientific Model Development Discussions 7, no. 5 (September 11, 2014): 5993–6060. http://dx.doi.org/10.5194/gmdd-7-5993-2014.
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Abstract. Computational simulations of physical phenomena rely on an accurate discretisation of the model domain. Numerical models have increased in sophistication to a level where it is possible to support terrain-following boundaries that conform accurately to real physical interfaces, and resolve a multiscale of spatial resolutions. Whilst simulation codes are maturing in this area, pre-processing tools have not developed significantly enough to competently initialise these problems in a rigorous, efficient and recomputable manner. In the relatively disjoint field of Geographic Information Systems (GIS) however, techniques and tools for mapping and analysis of geographical data have matured significantly. If data provenance and recomputability are to be achieved, the manipulation and agglomeration of data in the pre-processing of numerical simulation initialisation data for geophysical models should be integrated into GIS. A new approach to the discretisation of geophysical domains is presented, and introduced with a verified implementation. This brings together the technologies of geospatial analysis, meshing and numerical simulation models. This platform enables us to combine and build up features, quickly drafting and updating mesh descriptions with the rigour that established GIS tools provide. This, combined with the systematic workflow, supports a strong provenance for model initialisation and encourages the convergence of standards.
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Kolbina, Olga N., Evgeny P. Istomin, Natalya V. Yagotinceva, and Marsel V. Vagizov. "APPLICATION OF THE PRE-PROCESSOR MECHANISM FOR PROCESSING HETEROGENIOUS DATA IN DECISION-MAKING SUPPORT GEOINFORMATION SYSTEMS." Vestnik SSUGT (Siberian State University of Geosystems and Technologies) 26, no. 1 (2021): 98–109. http://dx.doi.org/10.33764/2411-1759-2021-26-1-98-109.
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The problem of local databases autonomy in distributed information systems is widely known and has been solved for a long time by specialists, but there is still no unambiguous and universally recog-nized approach to solving this problem. The process of working with distributed databases when creat-ing a geographic information system for decision support is not an exception, where the inviolability of the structure and completeness of local databases should remain the primary criterion for the sys-tem's operation. The purpose of the study is to increase the autonomy of local databases in geoinfor-mation decision support systems based on the use of preprocessing processing of heterogeneous data. This article proposes approaches and specific solutions for the physical and logical representation of the geoinformation system structure by means of the implementation of the preprocessing mechanism, which will allow you to combine and transform data even before they are displayed in the application. Thus, a person making a decision, when working in a geoinformational decision support system, will have full access to up-to-date information with the ability to record the results obtained by saving a virtual database created at his request.
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Kolesnikov, Alexey, Pavel Kikin, Giovanni Niko, and Elena Komissarova. "Natural language processing systems for data extraction and mapping on the basis of unstructured text blocks." InterCarto. InterGIS 26, no. 1 (2020): 375–84. http://dx.doi.org/10.35595/2414-9179-2020-1-26-375-384.
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Modern natural language processing technologies allow you to work with texts without being a specialist in linguistics. The use of popular data processing platforms for the development and use of linguistic models provides an opportunity to implement them in popular geographic information systems. This feature allows you to significantly expand the functionality and improve the accuracy of standard geocoding functions. The article provides a comparison of the most popular methods and software implemented on their basis, using the example of solving the problem of extracting geographical names from plain text. This option is an extended version of the geocoding operation, since the result also includes the coordinates of the point features of interest, but there is no need to separately extract the addresses or geographical names of the objects in advance from the text. In computer linguistics, this problem is solved by the methods of extracting named entities (Eng. named entity recognition). Among the most modern approaches to the final implementation, the authors of the article have chosen algorithms based on rules, models of maximum entropy and convolutional neural networks. The selected algorithms and methods were evaluated not only from the point of view of the accuracy of searching for geographical objects in the text, but also from the point of view of simplicity of refinement of the basic rules or mathematical models using their own text bodies. Reports on technological violations, accidents and incidents at the facilities of the heat and power complex of the Ministry of Energy of the Russian Federation were selected as the initial data for testing the abovementioned methods and software solutions. Also, a study is presented on a method for improving the quality of recognition of named entities based on additional training of a neural network model using a specialized text corpus.
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Lipar, Peter, Irena Strnad, Martin Česnik, and Tomaž Maher. "Development of Urban Driving Cycle with GPS Data Post Processing." PROMET - Traffic&Transportation 28, no. 4 (August 30, 2016): 353–64. http://dx.doi.org/10.7307/ptt.v28i4.1916.
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This paper presents GIS-based methodology for urban area driving cycle construction. The approach reaches beyond the frames of usual driving cycle development methods and takes into account another perspective of data collection. Rather than planning data collection, the approach is based on available in-vehicle measurement data post processing using Geographic Information Systems to manipulate the excessive database and extract only the representative and geographically limited individual trip data. With such data post processing the data was carefully adjusted to include only the data that describe representative driving in Ljubljana urban area. The selected method for the driving cycle development is based on searching for the best microtrips combination while minimizing the difference between two vectors; one based on generated cycle and the other on the database. Accounting for a large random sample of actual trip data, our approach enables more representative area-specific driving cycle development than the previously used techniques.
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Kuznetsov, I., E. Panidi, P. Kikin, A. Kolesnikov, V. Korovka, and V. Galkin. "ISSUES OF GEOGRAPHIC INFORMATION SYSTEMS AND THEMATIC MAPPING APPLICATION TO ANALYSIS OF EPIDEMIOLOGICAL SITUATION IN LARGE CITIES." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 287–92. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-287-2021.
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Abstract. The paper we summarizes and discusses experience of medical statistics data processing and mapping, gained in 2019–2020 in the frames of study devoted to the tuberculosis infection mapping. Basing on this experience, we have formalised a set of research issues, which were elaborated and clarified at the previous stages but demand additional investigations.Additionally, the paper summarises results of design and prototyping of a Web mapping interface implemented as a part of developed medical Geographic Information System (GIS). Developed GIS is aimed onto mapping and analysis of tuberculosis infection data. The overall structure of elaborated GIS is covered also with respect to the detected research issues.
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PAUL, MANOJ, and S. K. GHOSH. "A SERVICE-ORIENTED APPROACH FOR INTEGRATING HETEROGENEOUS SPATIAL DATA SOURCES REALIZATION OF A VIRTUAL GEO-DATA REPOSITORY." International Journal of Cooperative Information Systems 17, no. 01 (March 2008): 111–53. http://dx.doi.org/10.1142/s0218843008001774.
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Searching and accessing geospatial information in the open and distributed environments of geospatial information systems poses several challenges due to the heterogeneity in geospatial data. Geospatial data is highly heterogeneous — both at the syntactic and semantic level. The requirement for an integration architecture for seamless access of geospatial data has been raised over the past decades. The paper proposes a service-based model for geospatial integration where each geospatial data provider is interfaced on the web as services. The interface for these services has been described with Open Geospatial Consortium (OGC) specified service standards. Catalog service provides service descriptions for the services to be discovered. The semantic of each service description is captured in the form of ontology. The similarity assessment method of request service with candidate services proposed in this paper is aimed at resolving the heterogeneity in semantics of locational terms of service descriptions. In a way, we have proposed an architecture for enterprise geographic information system (E-GIS), which is an organization-wide approach to GIS integration, operation, and management. A query processing mechanism for accessing geospatial information in the service-based distributed environment has also been discussed with the help of a case study.
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Andri Supriadi and Teddy Oswari. "Analysis of Geographical Information System (GIS) design aplication in the Fire Department of Depok City." Technium Social Sciences Journal 8 (May 20, 2020): 1–7. http://dx.doi.org/10.47577/tssj.v8i1.181.
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Depok City is one of the cities that is vulnerable to fire disasters. The Depok City Fire Department feels the need for a system that can assist in the handling and management of fire disasters. This system must be the right system to solve existing problems. Researchers have created many new systems. One of them is Geographic Information System (GIS) is a special information system for managing data that has spatial information. This research purposes to analyze and design a Geographic Information System (GIS) aimed at assisting the Depok City Fire Department that is desktop-based using the waterfall method. With the application of this Geographic Information System (GIS) aims to help accelerate the processing of fire reports on decision making, presenting spatial and non-spatial data that is more organized and can be updated also makes it easier to find new locations of fire stations , hydrants, fire-prone points, and flood-prone points.
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Bhattacharya, S., C. Braun, and U. Leopold. "A TENSOR BASED FRAMEWORK FOR LARGE SCALE SPATIO-TEMPORAL RASTER DATA PROCESSING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W14 (August 23, 2019): 3–9. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w14-3-2019.
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Abstract. In this paper, we address the curse of dimensionality and scalability issues while managing vast volumes of multidimensional raster data in the renewable energy modeling process in an appropriate spatial and temporal context. Tensor representation provides a convenient way to capture inter-dependencies along multiple dimensions. In this direction, we propose a sophisticated way of handling large-scale multi-layered spatio-temporal data, adopted for raster-based geographic information systems (GIS). We chose Tensorflow, an open source software library developed by Google using data flow graphs, and the tensor data structure. We provide a comprehensive performance evaluation of the proposed model against r.sun in GRASS GIS. Benchmarking shows that the tensor-based approach outperforms by up to 60%, concerning overall execution time for high-resolution datasets and fine-grained time intervals for daily sums of solar irradiation [Wh.m-2.day-1].
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Park, Joon Kyu, and Min Gyu Kim. "GNSS Data Processing and Analysis for Earthquake Disaster Prevention Monitoring." International Journal of Embedded and Real-Time Communication Systems 9, no. 2 (July 2018): 47–62. http://dx.doi.org/10.4018/ijertcs.2018070104.
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This article describes how an earthquake with highest magnitude 5.8 on the Richter scale occurred in the Gyeongju area on Sep. 12, 2016 since the first seismological observation. In addition, continuous aftershocks have occurred. There is a pressing need for proper earthquake monitoring and prevention systems. This article is intended to apprehend the dislocation and location change of Continuously Operating Reference Station (CORS) caused by earthquake by means of data on CORS of the National Geographic Information Institute (NGII) and suggest effective seismic monitoring methods. Through Precise Point Positioning (PPP) over earthquake occurrence locations, it was possible to determine the dislocation aspects of CORS for TEGN and CHSG near the seismic epicenter. The nationwide Relative Positioning processing of data for 58 CORS from Sep. 1 to Sep. 30 suggested that CORS had not transitioned coordinates due to the earthquake. For the sake of more efficient earthquake observation and monitoring, it is believed that highly frequent GNSS data acquisition and the additional installation of observation devices such as seismometers is required.
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Kanashin, N. V. "Experience of modern programs and geographic information systems application at formation of land parcels for constructing linear structures." Geodesy and Cartography 948, no. 6 (July 20, 2019): 48–53. http://dx.doi.org/10.22389/0016-7126-2019-948-6-48-53.
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The formation of land parcels for the constructing of linear structures today is associated with a number of difficulties caused by the lack of regulatory documents for solving such problems, the location of sites in several cadastral districts with different coordinate systems and other causes. Therefore, their formation today is impossible without modern software, which would enable reducing the complexity of such work and eliminate errors in the final result. The author describes the experience of using modern programs for the formation of land parcels at constructing linear structures on the example of the designed Moscow – Kazan railway route. The ways of automated acquisition and processing geospatial information from the public cadastral map environment, vectorization of the obtained data and its processing in the environment of geographic information systems for solving applied tasks are shown. The article may be useful to design engineers, cadastral engineers, as well as all specialists in the field of geodesy and geoinformatics.
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Xaverius, Fransiskus, Stanly Hence Dolfi Loppies, Kiman Siregar, Zane Vincēviča-Gaile, and Praptiningsih Gamawati Adinurani. "Geographic Information System of Primary Carbon Deposit of Mangrove Forest in Merauke District, Indonesia." E3S Web of Conferences 190 (2020): 00011. http://dx.doi.org/10.1051/e3sconf/202019000011.
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Emission factors with increasing carbon dioxide (CO2) originating from various human activities are one of the causes of global climate change. The mangrove forest is a type of plant that has a great ability to absorb carbon in the atmosphere and store it in biomass through photosynthesis. Merauke Regency has 20 separate parts based on regional administration, but primary Mangrove forests are only found in ten regions (district). The results of research carried out using geographic information systems (GIS) in processing primary Mangrove forest data based on 2016 land cover map data in Merauke district, the area of primary mangrove forest reaches 184.402 ha, which is spread in various regions. With carbon deposits reaching 21 536 333 t ha-1-Carbon and Emission carbon dioxide reach 409 758.04 t ha-1.
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Chorianopoulos, Konstantinos, and Karolos Talvis. "Flutrack.org: Open-source and linked data for epidemiology." Health Informatics Journal 22, no. 4 (July 26, 2016): 962–74. http://dx.doi.org/10.1177/1460458215599822.
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Epidemiology has made advances, thanks to the availability of real-time surveillance data and by leveraging the geographic analysis of incidents. There are many health information systems that visualize the symptoms of influenza-like illness on a digital map, which is suitable for end-users, but it does not afford further processing and analysis. Existing systems have emphasized the collection, analysis, and visualization of surveillance data, but they have neglected a modular and interoperable design that integrates high-resolution geo-location with real-time data. As a remedy, we have built an open-source project and we have been operating an open service that detects flu-related symptoms and shares the data in real-time with anyone who wants to built upon this system. An analysis of a small number of precisely geo-located status updates (e.g. Twitter) correlates closely with the Google Flu Trends and the Centers for Disease Control and Prevention flu-positive reports. We suggest that public health information systems should embrace an open-source approach and offer linked data, in order to facilitate the development of an ecosystem of applications and services, and in order to be transparent to the general public interest.
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Новосад, E. Novosad, Христиановский, and Pavel Khristianovskiy. "GIS-based risk monitoring of zoonotic cestodiasis in human." Russian Journal of Parasitology 3, no. 4 (December 25, 2016): 475–87. http://dx.doi.org/10.12737/23071.
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Objective of research: The target of the paper is to develop a model of GIS-based risk monitoring of zoonotic cestodiasis in human.
Materials and methods: The use of geographic information systems (GIS) as an epizootiological and epidemiological method for the risk-based monitoring of human cestodiasis enables the development of a multi-level platform for solution of a wide range of tasks related to the control of this disease. The modern GIS tools use the methods of geoinformatics applying powerful software and hardware: open access geographic web servers, tools for multidimensional complex analysis, creating most accurate electronic and paper maps. Full-featured GIS contain a full set for processing geospatial data including acquisition of data, its integration and storage, automatic data processing, editing, creation and maintenance of topology, spatial analysis, access to the database management system (DBMS), visualization and creation of hard copies of any cartographic data.
Results and discussion: The use of GIS enables to study more closely the regularities of epizootic process, geography of human cestodiasis and to improve the methodology both for short-term and long-term retrospective epizootiological analyses.
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Kadirova, Dilrabo, Matlyuba Usmanova, Munisa Saidova, Gulnora Djalilova, and Normamat Namozov. "Creating a digital model of regional relief using GIS technologies to evaluate degradation processes." E3S Web of Conferences 258 (2021): 03025. http://dx.doi.org/10.1051/e3sconf/202125803025.
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This paper presents the results of research on the creation of a digital model of relief by processing remote sensing data using geographic information systems to identify and assess areas at risk of degradation. According to the results of the study, the relief of the region is important in the occurrence and acceleration of degradation processes.
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Sinitsyn, Ivan, Anton Mironov, Yuriy Vorontsov, Nikita Borzykh, and Evgenia Mikhailova. "The principles of synchronization in the distributed information systems." Economic Annals-ХХI 183, no. 5-6 (June 4, 2020): 79–88. http://dx.doi.org/10.21003/ea.v183-08.
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Information, especially its automated processing, is still an important factor in improving the efficiency of any organization. Distributed information systems (IS, ISs) differ from conventional ISs in architectural and infrastructural principles, as well as in the geographic location with integration into one information cluster. One of the examples of distributed information systems is the infrastructure of the Google search engine - more than 2,000 servers, with server bases in almost every country in the world, which allows achieving a minimum delay in sending and receiving client requests. A distributed information system can have a large number of different databases, both local and remote, with which constant data synchronization is required, while maintaining a backup copy of previous data in case of failures and emergency stops. Distributed information systems are highly reliable and require multi-level protection of the cluster from unauthorized access, adherence to the principles of data synchronization, which differ from a conventional information system. Within the framework of this paper, synchronization processes are investigated using mathematical and computational tools, creating an environment for distributed information systems. It is advisable to use the results of the work to coordinate the operation of components of multi-agent systems for various purposes, transmit messages between agents, build communication protocols, and provide conditions for self-organization of multi-agent systems.
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Fedchenko, O., I. Kulynych, and O. Storublov. "ECOLOGICAL MONITORING ON THE BASIS ARCGIS GEOGINFORMATION PLATFORM." Visnyk Taras Shevchenko National University of Kyiv. Military-Special Sciences, no. 2 (44) (2020): 68–72. http://dx.doi.org/10.17721/1728-2217.2020.44.68-72.
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Ever-changing parameters of the Earth's atmosphere and environment under the influence of anthropogenic load, the activityof industrial and military facilities demands the necessity for reliable assessment of the ecological condition and its forecastingin order to ensure environmental safety. This involves forecasting the further development of favorable situations or negativeconsequences and making adequate decisions based on the use of environmental monitoring using automated systems(decision support systems) for environmental monitoring. The main function of such systems is the complex automation of allprocesses related to the collection, accumulation and maintenance of various environmental registration information, in ensuringthe possibility of its further processing on the basis of modern information technologies. regardless of the level of environmentalmonitoring, the interconnection of individual units is required: observation, information collection, assessment of the actual stateof the object of observation, forecast of the future state and its assessment, management, regulation of environmental quality, foreffective system operation. The use of environmental monitoring subsystems on a single geographic information basis indecision support systems will significantly reduce the time required to respond quickly to crises, which will increase theefficiency of decision-making to achieve the relevant goals and objectives. The information can be transmitted most quickly overthe Internet, and the output interface should be convenient (ergonomic), not overloaded with unnecessary data and independentof the installation of specialized software.The modern full-featured geographic information platform ArcGIS allows to build not only a geographical information systemof any scale and purpose, but also to form on its basis an effective system of ecological monitoring.
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Du, Gen Yuan, Fang Miao, and Xi Rong Guo. "A Novel Network Service Mode of Geospatial Information and its Prototype System." Advanced Materials Research 108-111 (May 2010): 319–23. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.319.
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This paper proposes a novel digital earth platform framework, which is a application, service and decision-making support systems of geospatial data acquisition, storage, transmission, conversion, processing, analysis, retrieval, expression and output as a unified body, the core of which is to deal with geospatial data for spatial geographic information network service Geo-Browser/Geospatial Information Server (G/S) mode and Hyper Geographic Markup Language (HGML). Depth understanding and analysis of platform architecture, this paper realizes of digital earth platform prototype – U-Star based on the geospatial information network service G/S mode, the platform has the merits of C/S mode that full use of client resources, efficient to deal with the client data, as well as the advantages of B/S mode that the unified client and convenient to access network. This platform is a new server which can cope with massive geospatial information and a solution which can provide efficient service. It has already been applied into many fields, such as the digital tourism service system, the time sequence analysis of Wenchuan Earthquake, the real-time video monitoring based on the digital earth platform and the intelligent processing and exhibition of remote sensing data. The result indicates that the perfection of space, time and complexion of the geospatial information network accessing will effectively improve the quality and efficiency of the shared data, which has very important theoretical significance and bright prospect of application.
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Iglesias, Carlos A., Alfredo Favenza, and Álvaro Carrera. "A Big Data Reference Architecture for Emergency Management." Information 11, no. 12 (December 4, 2020): 569. http://dx.doi.org/10.3390/info11120569.
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Nowadays, we are witnessing a shift in the way emergencies are being managed. On the one hand, the availability of big data and the evolution of geographical information systems make it possible to manage and process large quantities of information that can hugely improve the decision-making process. On the other hand, digital humanitarianism has shown to be very beneficial for providing support during emergencies. Despite this, the full potential of combining automatic big data processing and digital humanitarianism approaches has not been fully realized, though there is an initial body of research. This paper aims to provide a reference architecture for emergency management that instantiates the NIST Big Data Reference Architecture to provide a common language and enable the comparison of solutions for solving similar problems.
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Onega, Tracy, Dharmanshu Kamra, Jennifer Alford-Teaster, and Saeed Hassanpour. "Monitoring of Technology Adoption Using Web Content Mining of Location Information and Geographic Information Systems: A Case Study of Digital Breast Tomosynthesis." JCO Clinical Cancer Informatics, no. 2 (December 2018): 1–10. http://dx.doi.org/10.1200/cci.17.00150.
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Purpose To our knowledge, integration of Web content mining of publicly available addresses with a geographic information system (GIS) has not been applied to the timely monitoring of medical technology adoption. Here, we explore the diffusion of a new breast imaging technology, digital breast tomosynthesis (DBT). Methods We used natural language processing and machine learning to extract DBT facility location information using a set of potential sites for the New England region of the United States via a Google search application program interface. We assessed the accuracy of the algorithm using a validated set of publicly available addresses of locations that provide DBT from the DBT technology vendor, Hologic. We quantified precision, recall, and F1 score, aiming for an F1 score of ≥ 95% as the desirable performance. By reverse geocoding on the basis of the results of the Google Maps application program interface, we derived a spatial data set for use in an ArcGIS environment. Within the GIS, a host of spatiotemporal analyses and geovisualization techniques are possible. Results We developed a semiautomated system that integrated DBT location information into a GIS that was feasible and of reasonable quality. Initial accuracy of the algorithm was poor using only a search term list for information retrieval (precision, 35%; recall, 44%; F1 score, 39%), but performance dramatically improved by leveraging natural language processing and simple machine learning techniques to isolate single, valid instances of DBT location information (precision, 92%; recall, 96%; F1 score, 94%). Reverse geocoding yielded reliable geographic coordinates for easy implementation into a GIS for mapping and planned monitoring. Conclusion Our novel approach can be applicable to technologies beyond DBT, which may inform equitable access over time and space.
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Piotr Werner, Piotr Werner. "Kreatorzy, gestorzy i internauci – od baz danych przestrzennych do map numerycznych i wirtualnych globusów." Człowiek i Społeczeństwo 36, no. 2 (December 15, 2013): 239–50. http://dx.doi.org/10.14746/cis.2013.36.2.4.
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The basic elements of Geographic Information Systems are spatial databases. There are multiply interfaces of views and queries as well as methods of reporting. They are multi-resolution and multi-representations. Additional elements are standardized metadata. Currently they are developing as the technologies of distributed processing using wireless networks and global positioning systems. The procedures of spatial data bases creation are based on well recognized and defined methodology. Recent development of Information and Communication Technologies (ICT) is the cause that traditional division of work concerning spatial databases among authors, administrators and users changes itself. Directional propagation of information (according to Shannon theory) from authors through administrators to users is changing. Users are simultaneously authors and administrators, sharing their own collections of spatial data and vice versa, sometimes professionals use such collections supporting and updating professional spatial databases using public access data. Creation, assembling and dissemination of spatial data provided voluntarily by individuals has been defined as Volunteered Geographic Information. There are a lot of impacts of this new trend involving essential, legal and economic aspects as well as creating the new qualities in culture of the societies.
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Cristea, Cătălina, and Andreea Florina Jocea. "Applications Of Terrestrial Laser Scanning And GIS In Forest Inventory." Journal of Applied Engineering Sciences 5, no. 2 (December 1, 2015): 13–20. http://dx.doi.org/10.1515/jaes-2015-0016.
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Abstract During last years the need of knowing the forest in its various aspects, quantitative and qualitative, has enabled the appearance of a new technique forestry geomatics. Named as “the science of future” this technique integrates multiple technologies such as Remote Sensing, Airborne Photogrammetry, LIDAR, Geographic Information System (GIS), Global Positioning Systems (GPS) or classical geodetic technology for data acquisition, data processing, data analysis and data management. The purpose is to provide specific information regarding the evaluation natural forestry resources. In this paper will be presented the utilization of terrestrial 3D laser scanner and GIS technologies in forestry inventory.
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Zhao, Jin, Fan, Song, Zhou, and Jiang. "High-performance Overlay Analysis of Massive Geographic Polygons That Considers Shape Complexity in a Cloud Environment." ISPRS International Journal of Geo-Information 8, no. 7 (June 26, 2019): 290. http://dx.doi.org/10.3390/ijgi8070290.
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: Overlay analysis is a common task in geographic computing that is widely used in geographic information systems, computer graphics, and computer science. With the breakthroughs in Earth observation technologies, particularly the emergence of high-resolution satellite remote-sensing technology, geographic data have demonstrated explosive growth. The overlay analysis of massive and complex geographic data has become a computationally intensive task. Distributed parallel processing in a cloud environment provides an efficient solution to this problem. The cloud computing paradigm represented by Spark has become the standard for massive data processing in the industry and academia due to its large-scale and low-latency characteristics. The cloud computing paradigm has attracted further attention for the purpose of solving the overlay analysis of massive data. These studies mainly focus on how to implement parallel overlay analysis in a cloud computing paradigm but pay less attention to the impact of spatial data graphics complexity on parallel computing efficiency, especially the data skew caused by the difference in the graphic complexity. Geographic polygons often have complex graphical structures, such as many vertices, composite structures including holes and islands. When the Spark paradigm is used to solve the overlay analysis of massive geographic polygons, its calculation efficiency is closely related to factors such as data organization and algorithm design. Considering the influence of the shape complexity of polygons on the performance of overlay analysis, we design and implement a parallel processing algorithm based on the Spark paradigm in this paper. Based on the analysis of the shape complexity of polygons, the overlay analysis speed is improved via reasonable data partition, distributed spatial index, a minimum boundary rectangular filter and other optimization processes, and the high speed and parallel efficiency are maintained.
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Hajar, Ahmad, Isnan Nabawi, Lili Kartikawati, Fadya Rizka Yudana, Setia Budi, and Nanang Prasetiyantara. "Pengolahan Data Spasial-Geolocation Untuk Menghitung Jarak 2 Titik." Creative Information Technology Journal 8, no. 1 (March 31, 2021): 32. http://dx.doi.org/10.24076/citec.2021v8i1.265.
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Perkembangan teknologi Informasi yang berkembang pesat sudah menyentuh ilmu pengetahuan lain seperti perkembangan Sistem Informasi Geografis (SIG). Teknologi SIG memungkinkan sistem dapat menentukan lokasinya dengan memanfaatkan banyak masukan seperti satelit, RFID, WIFI. Geolocation dapat memberikan informasi latitude dan longitude disebut juga dengan koordinat geografis yang merupakan informasi mendasar dari sebuah lokasi di bumi. Basis data dibutuhkan untuk mengembangkan SIG. MySQL sudah mendukung penyimpanan tipe data spasial yang salah satu kelasnya adalah point yang dapat menyimpan data koordinat latitude, longitude dan SRID. Penelitian bertujuan menerapkan teknologi dalam melakukan penyimpanan, memanipulasi data koordinat geografis dan pengolahannya sehingga mendapatkan informasi yang dibutuhkan. Penerapan penelitian dilakukan dengan menambahkan data lokasi beberapa rumah sakit yang ada di kota Yogyakarta, mengubah data lokasi, menampilkan rumah sakit yang terdekat dari titik tertentu, dan menampilkan rumah sakit pada radius tertentu dari titik tertentu. Penelitian membuktikan bahwa tipe data spasial yang menampung data lokasi berupa latitude dan longitude rumah sakit dapat diolah untuk memberikan informasi pencarian rumah sakit terdekat di Yogyakarta dari radius kurang dari sama dengan 3 kilo meter dari titik 110.361994, -7.764768 dalam database yang telah dimiliki.Kata Kunci Data Spasial, Geolocation, Koordinat Geografis, MySQL.The development of information technology that is growing rapidly has touched other sciences such as the development of Geographical Information Systems (GIS). GIS technology allows the system to determine its location by utilizing many inputs such as satellite, RFID, WIFI. Geolocation can provide latitude and longitude information - geographic coordinates which are basic information about a location on earth. Database development to support GIS. MySQL supports the storage of spatial data types, a point class that can store latitude, longitude and SRID coordinate data. This study intends to apply geolocation technology, especially in terms of storing, manipulating geographic coordinate data and processing it so that it gets the information needed. The application of research was carried out by adding the location data of several hospitals in the city of Yogyakarta, change the location data, display the closest hospital from a certain point, and display the hospital in a certain radius from a certain point. Experiments will prove that the spatial data type can be used to obtain search information for the nearest hospital in Yogyakarta from a radius less than 3 kilometers from the point 110.361994, -7.764768 in the database that has been provided.Keywords: Spatial Data, Geolocation, Geographical Coordinates, MySQL.
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Jabri, Btissam, and Mohammed Abdelbaset Hessane. "Production of a Curve Number map using GIS Techniques in the watershed of the high Sebou (Morocco)." E3S Web of Conferences 150 (2020): 03003. http://dx.doi.org/10.1051/e3sconf/202015003003.
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This work focusing on the collection and preparation of necessary data for hydrological modeling of High Sebou watershedupstream of the dam Allal El Fassi. It describes a methodology for combining space technologies, including geographical information systems (GIS), remote sensing and digital terrain models (DTM), with hydrological models with a view to prepare for a spatial hydrologic modeling whose used for flood forecasting. The methodology for conducting this study comes in several parts: The collection and processing of geographic data constituted the first part of this project. This approach is, in the beginning, to automatic extraction of sub-basins and drainage network, then the formatting of data for the mapping of the basin and finally, the preparation of the land use and soil for the development of a map of Curve Number (CN).