Dissertationen zum Thema „Geospatial maps“
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Norwood, Carla Michele Holt Flora L. „Making maps that matter? the role of geospatial information in addressing rural landscape change /“. Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2009. http://dc.lib.unc.edu/u?/etd,2546.
Der volle Inhalt der QuelleTitle from electronic title page (viewed Oct. 5, 2009). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Curriculum for the Environment and Ecology." Discipline: Anthropology; Department/School: Anthropology.
Kasperi, Johan. „Occlusion in outdoor Augmented Reality using geospatial building data“. Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-204442.
Der volle Inhalt der QuelleFör att uppnå en god användarupplevelse i Augmented Reality (AR) så är det viktigt att simulera fysiska interaktioner mellan de virtuella och reella objekten. Om man inte gör det kan användare uppfatta saker som djup, avstånd och storlek felaktigt. En av dessa simulationer är ocklusion som innebär att det virtuella innehållet ska vara delvis eller helt ockluderat om ett reellt objekt finns i siktlinjen mellan användaren och innehållet. För att simulera detta är utmaningen att rekonstruera den geometriska modellen av den nuvarande miljön.Tidigare studier inom fältet har försökt att uppnå en perfekt simulation av ocklusion, men majoriteten av dem har då krävt antingen djupavkännande hårdvara eller en statisk fördefinierad miljö. Denna studie föreslår och utvärderar en alternativ modellbaserad lösning på problemet. Lösningen använder geospatial data för att rekonstruera den geometriska modellen av alla byggnader i den nuvarande omgivningen, vilket resulterar i att det virtuella innehållet blir ockluderat av alla reella byggnader i den nuvarande miljön. Den utvecklade funktionen blev i och med det kompatibel på icke djupavkännande enheter och fungerande i en dynamisk urban miljö. För attutvärdera denna funktion så var den implementerad i en sensorbaserad AR applikation som visualiserade en framtida byggnad i Stockholm. Resultatet visade att den utvecklade funktionen ockluderade den virtuella byggnaden som förväntat. Dock gjorde den ej det helt realistiskt, men resultatet från den utförda användarstudien visade att den uppnådde sitt mål. Majoriteten av deltagarna ansåg att deras AR upplevelse blev bättre med den utvecklade funktionen aktiverad och ett deras uppfattning av djup förbättrades. Dock kan inga definitiva slutsatser dras eftersom AR applikationen hade problem med den sensorbaserade spårningen. Resultaten är intressant för det mobila AR fältet eftersom majoriteten av alla smartphones ej har stöd för djupavkänning. Att använda geospatial data för att simulera ocklusion, eller någon annan fysisk interaktion mellan virtuella och reella objekt, kan då vara en tillräckligt effektiv lösning tills djupavkännande AR enheter används mer.
Virinchi, Billa. „Data Visualization of Telenor mobility data“. Thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13951.
Der volle Inhalt der QuelleWeiss, Jeremy, und Michael Crimmins. „DroughtView: Satellite-based Drought Monitoring and Assessment“. College of Agriculture, University of Arizona (Tucson, AZ), 2017. http://hdl.handle.net/10150/625291.
Der volle Inhalt der QuelleRemotely sensed data are valuable for monitoring, assessing, and managing impacts to arid and semi-arid lands caused by drought or other changes in the natural environment. With this in mind, we collaborated with scientists and technologists to redevelop DroughtView, a web-based decision-support tool that combines satellite-derived measures of surface greenness with additional geospatial data so that users can visualize and evaluate vegetation dynamics across space and over time. To date, users of DroughtView have been local drought impact groups, ranchers, federal and state land management staff, environmental scientists, and plant geographers. Potential new applications may include helping to track wildland fire danger. Here, we present the functionality of DroughtView, including new capabilities to report drought impacts and share map information, as well as the data behind it.
Hollinger, David L. „Crop Condition and Yield Prediction at the Field Scale with Geospatial and Artificial Neural Network Applications“. Kent State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=kent1310493197.
Der volle Inhalt der QuelleKobakian, Stephanie Rose. „New algorithms for effectively visualising Australian spatio-temporal disease data“. Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/203908/1/Stephanie_Kobakian_Thesis.pdf.
Der volle Inhalt der QuellePalacios, Castro Harold Jesús Alberto, und Elias Kevin Jorge Pérez. „Implementación de bases geoespaciales para la vulnerabilidad sísmica de edificios de concreto armado“. Bachelor's thesis, Universidad Ricardo Palma, 2015. http://cybertesis.urp.edu.pe/handle/urp/1323.
Der volle Inhalt der QuelleCherif, Mohamed Abderrazak. „Alignement et fusion de cartes géospatiales multimodales hétérogènes“. Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ5002.
Der volle Inhalt der QuelleThe surge in data across diverse fields presents an essential need for advanced techniques to merge and interpret this information. With a special emphasis on compiling geospatial data, this integration is crucial for unlocking new insights from geographic data, enhancing our ability to map and analyze trends that span across different locations and environments with more authenticity and reliability. Existing techniques have made progress in addressing data fusion; however, challenges persist in fusing and harmonizing data from different sources, scales, and modalities.This research presents a comprehensive investigation into the challenges and solutions in vector map alignment and fusion, focusing on developing methods that enhance the precision and usability of geospatial data. We explored and developed three distinct methodologies for polygonal vector map alignment: ProximityAlign, which excels in precision within urban layouts but faces computational challenges; the Optical Flow Deep Learning-Based Alignment, noted for its efficiency and adaptability; and the Epipolar Geometry-Based Alignment, effective in data-rich contexts but sensitive to data quality. Additionally, our study delved into linear feature map alignment, emphasizing the importance of precise alignment and feature attribute transfer, pointing towards the development of richer, more informative geospatial databases by adapting the ProximityAlign approach for linear features like fault traces and road networks. The fusion aspect of our research introduced a sophisticated pipeline to merge polygonal geometries relying on space partitioning, non-convex optimization of graph data structure, and geometrical operations to produce a reliable fused map that harmonizes input vector maps, maintaining their geometric and topological integrity.In practice, the developed framework has the potential to improve the quality and usability of integrated geospatial data, benefiting various applications such as urban planning, environmental monitoring, and disaster management. This study not only advances theoretical understanding in the field but also provides a solid foundation for practical applications in managing and interpreting large-scale geospatial datasets
Liu, Yung-I. „The Influence of Communication Context on Political Cognition in Presidential Campaigns: A Geospatial Analysis“. Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1211994930.
Der volle Inhalt der QuelleFombuena, Valero Arnau. „Geospatial Social Network lnnovation Assessment of the Spanish Higher Education“. Doctoral thesis, Universitat Politècnica de València, 2018. http://hdl.handle.net/10251/107943.
Der volle Inhalt der QuelleThe current context is one of crisis in the European area, especially in the southern countries. To put an end to the crisis, the European Union elaborated the Horizon 2020 strategy focusing on innovation to tackle the socio-economic challenges. Innovation has an impact on society and, as a result on the territory inhabited by the people forming such society. Employing a geospatial perspective allows performing a type of analysis that is seldom approached by higher education experts, who tend to focus on purely statistical methodologies. The main goal of this dissertation is the development of a model that uses GIS for innovation assessment from the perspective of universities and the territory. Then, through application of the model for the case of the assessment of innovation produced by the Spanish universities listed in CRUE in the year 2015, the secondary goal is to identify patterns that may unearth new significant information. The results show spatial patterns and the potential of improving the current methods of assessing innovation. The model presented in this thesis does provide an innovative solution to better understand innovation networks and their effect on the territory. In the specific case studied, the assessment provides an easy-to-understand solution for decision makers in the different provinces. The decision makers can then identify what type of institutions are driving innovation and where they are located, what connections they have and how to improve their innovation results through the identification of significant partners. Furthermore, the funding for research and innovation could be better directed towards those institutions with the higher potential.
El context actual és el d'una crisi a la Unió Europea, especialment als països del sud. Per acabar amb la crisi, la Unió Europea va elaborar l'estratègia Horizon2020 que es centra en la innovació per afrontar els desafiaments socio-econòmics. La innovació té un impacte en la societat i per tant també sobre el territori en el que habiten les persones que formen eixa societat. L'ús de la perspectiva geoespacial permet realitzar un tipus d'anàlisi que és rarament utilitzat pels experts en Educació Superior que solen centrar-se en metodologies purament estadístiques. L'objectiu principal d'aquesta tesi és el desenvolupament d'un model que utilitza els Sistemes d'Informació Geogràfica per avaluar la innovació des del punt de vista de les universitats i el territori. A més, a través de l'aplicació d'aquest model per al cas específic de la innovació produïda per les universitats espanyoles que formen part de la Conferència de Rectors de les Universitats Espanyoles durant l'any 2015, un segon objectiu és identificar patrons i tendències que puguen mostrar nova informació. Els resultats mostren aquests patrons així com la possibilitat de millorar els mètodes actuals de l'avaluació de la innovació. El model presentat en aquesta tesi proveeix una solució per comprendre millor les xarxes d'innovació i el seu efecte sobre el territori. Al cas específic estudiat, l'avaluació ofereix una solució que és fàcil de comprendre per a les persones responsables de la presa de decisions en cadascuna de les províncies espanyoles. Aquestes persones poden identificar quins tipus d'institucions promouen la innovació i on es troben, quines connexions tenen i com millorar els resultats d'innovació a través de la identificació de socis significatius. A més, el finançament d'investigació podria dirigir-se millor cap aquelles institucions amb major potencial d'innovació.
Fombuena Valero, A. (2018). Geospatial Social Network lnnovation Assessment of the Spanish Higher Education [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/107943
TESIS
Lourenço, Fernando Correia. „Exploratory geospatial data analysis using self-organizing maps“. Master's thesis, 2005. http://hdl.handle.net/10362/3647.
Der volle Inhalt der QuelleThe rapidly increasing volume of digital geographic data is overwhelming for conventional analysis techniques and methods. Therefore new approaches are needed to transform data into information, and ultimately, into knowledge. Exploratory data analysis is a foundation stone in this process. It is concerned with the formation of a simplified overview of data sets. Clustering and projection are among the examples of useful methods to achieve this task. The Self-Organizing Map (SOM) algorithm performs both, in a non-linear mapping from a high-dimensional data space to a low-dimensional space aiming to preserve the topological relations in the data. The aim of this thesis is to demonstrate the effectiveness of SOM application in visual exploration of physical geography data to support the delineation of Portuguese mainland regions. The main justifications for the application of SOM in this issue are its features of stressing local factors and topological ordering. For experimental assessment, the public domain thematic maps from Instituto do Ambiente are used. Several authors’ maps of Portuguese regions are used for evaluation of empirical results.(...)
Lo, Te-Chung, und 羅德忠. „Application benefits of disaster prevention maps in Geospatial PDF format“. Thesis, 2013. http://ndltd.ncl.edu.tw/handle/jfn9y7.
Der volle Inhalt der Quelle國立中興大學
水土保持學系所
101
Taiwan is an island located at the junction of the Eurasia Plate and the Philippine Sea plate, which causes the geology fragility and multi-faults due to plate collision. In addition, Taiwan encounters several debris and flooding disasters during heavy rain in typhoon seasons annually due to the Western Pacific Ocean monsoon climate. Moreover, 73% of the lands are slope lands and Alpine woodlands, most of the population lived in plains, which occupied 25% of Taiwan and developed into dense urban areas of industry and commerce often. Extreme rainfall patterns and earthquakes occur in recent years make geology conditions into an unstable state. This consequence leads to a higher frequency of various disasters such as flood, drought, land slide and complex disasters. To deal with this situation, the government formulates several kinds of disaster prevention maps and implements necessary response. The purpose of this study is to delineate the disaster prevention map of Taichung city via Geospatial PDF and to compare with the existing one as practicality and feasibility, escape routes planning, feasibility analysis of the disaster prevention refuge and the training of disaster prevention education to discuss the feasibility, advantages and disadvantages of these maps. Recommends to the improvements of disaster prevention map will be put forward then. The disaster prevention map developed in this study with the characteristics of manipulating disaster information instantly, which is helpful to strengthen the disaster prevention ability.
„Making maps that matter? The role of geospatial information in addressing rural landscape change“. THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL, 2010. http://pqdtopen.proquest.com/#viewpdf?dispub=3366479.
Der volle Inhalt der QuelleAkande, Adeoluwa Stephen. „Geospatial analysis of extreme weather events in Nigeria (1985-2015) using self organizing maps“. Master's thesis, 2017. http://hdl.handle.net/10362/34214.
Der volle Inhalt der QuelleThe explosion of data in the information age has provided an opportunity to explore the possibility of characterizing the climate patterns using data mining techniques. Nigeria has a unique tropical climate with two precipitation regimes: low precipitation in the north leading to aridity and desertification, and high precipitation in parts of the south west and south east leading to large scale flooding. In this research, four indices have been used to characterize the intensity, frequency and amount of rainfall over Nigeria. A type of Artificial Neural Network called Self Organizing Map has been used to reduce the multiplicity of dimensions and produce four unique zones characterizing extreme precipitation conditions in Nigeria. This approach allowed for the assessment of spatial and temporal patterns in extreme precipitation in the last three decades. Precipitation properties for each cluster are discussed. The cluster spatially closest to the Atlantic has high values of precipitation intensity, frequency and duration, whereas the cluster spatially closest to the Sahara Desert has low values. A significant increasing trend has been observed in the frequency of rainy days in the northern region of Nigeria.
„A Framework for Interactive Geospatial Map Cleaning using GPS Trajectories“. Master's thesis, 2017. http://hdl.handle.net/2286/R.I.46257.
Der volle Inhalt der QuelleDissertation/Thesis
Masters Thesis Computer Science 2017
Merwade, Venkatesh Maidment David R. „Geospatial description of river channels in three dimensions“. 2004. http://wwwlib.umi.com/cr/utexas/fullcit?p3143430.
Der volle Inhalt der QuelleHenriques, Roberto André Pereira. „Artificial Intelligence in geospatial analysis: applications of self-organizing maps in the context of geographic information science“. Doctoral thesis, 2011. http://hdl.handle.net/10362/5723.
Der volle Inhalt der QuelleThe size and dimensionality of available geospatial repositories increases every day, placing additional pressure on existing analysis tools, as they are expected to extract more knowledge from these databases. Most of these tools were created in a data poor environment and thus rarely address concerns of efficiency, dimensionality and automatic exploration. In addition, traditional statistical techniques present several assumptions that are not realistic in the geospatial data domain. An example of this is the statistical independence between observations required by most classical statistics methods, which conflicts with the well-known spatial dependence that exists in geospatial data. Artificial intelligence and data mining methods constitute an alternative to explore and extract knowledge from geospatial data, which is less assumption dependent. In this thesis, we study the possible adaptation of existing general-purpose data mining tools to geospatial data analysis. The characteristics of geospatial datasets seems to be similar in many ways with other aspatial datasets for which several data mining tools have been used with success in the detection of patterns and relations. It seems, however that GIS-minded analysis and objectives require more than the results provided by these general tools and adaptations to meet the geographical information scientist‟s requirements are needed. Thus, we propose several geospatial applications based on a well-known data mining method, the self-organizing map (SOM), and analyse the adaptations required in each application to fulfil those objectives and needs. Three main fields of GIScience are covered in this thesis: cartographic representation; spatial clustering and knowledge discovery; and location optimization.(...)
Merwade, Venkatesh. „Geospatial description of river channels in three dimensions“. Thesis, 2004. http://hdl.handle.net/2152/1274.
Der volle Inhalt der QuelleNOVÁKOVÁ, Martina. „Porovnání využitelnosti volně dostupných mapserverů a webových mapových služeb (WMS)na internetové síti pro geodetické činnosti“. Master's thesis, 2010. http://www.nusl.cz/ntk/nusl-80422.
Der volle Inhalt der QuelleFreitas, Tiago Ribeiro Mota. „Geospatial data processing for GPS navigation systems“. Master's thesis, 2009. http://hdl.handle.net/10216/58134.
Der volle Inhalt der QuelleFreitas, Tiago Ribeiro Mota. „Geospatial data processing for GPS navigation systems“. Dissertação, 2009. http://hdl.handle.net/10216/58134.
Der volle Inhalt der QuelleDavidson, Jon. „Spatiotemporal analysis of criteria air pollutants and volatile organic compounds from a moving vehicle“. Thesis, 2021. http://hdl.handle.net/1828/13354.
Der volle Inhalt der QuelleGraduate
Richards, Larissa Christine. „Chemometric analysis of full scan direct mass spectrometry data for the discrimination and source apportionment of atmospheric volatile organic compounds measured from a moving vehicle“. Thesis, 2021. http://hdl.handle.net/1828/13333.
Der volle Inhalt der QuelleGraduate
2022-08-17