Thematische Bibliographien / Geographic information system

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Geographic information system“

Autor: Grafiati
Veröffentlicht am 4. Juni 2021
Zuletzt aktualisiert am 7. Juli 2024

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Zeitschriftenartikel zum Thema "Geographic information system"

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Srikanth, Dr Geetha. „Geographic Information System (GIS) in Public Health“. JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 06, Nr. 1 (15.03.2016): 1–2. http://dx.doi.org/10.58739/jcbs/v06i1.7.

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Remote sensing and geographic information system (GIS) are a potential enabling technolo-gy used in public health. With the precise geo-graphic location of the incident these technolo-gies are potentially useful for infectious dis-ease surveillance and control of vector borne diseases. GIS is a computer system for captur-ing and displaying data related to positions on earth’s surface. Since many different kinds of data are shown on a map one can analyze their patterns and relationships
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Fan, Yong-wen, Wei-jun Zhu und Shao-huan Ban. „Mimic Geographic Information System“. E3S Web of Conferences 78 (2019): 03005. http://dx.doi.org/10.1051/e3sconf/20197803005.

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With the development of the Internet, the geographic information system gets a chance to develop rapidly. Aiming at the security problems of existing geographic information systems, a Mimic Geographic Information System, i.e. M-GIS, based on mimic defense is proposed to improve the security of geographic information systems. The system consists of heterogeneous redundancy geographic information execution bodies pool, request distributor, scheduler and arbiter. Firstly, the scheduler dynamically selects the geographic information execution bodies set for processing, and then makes a mimic decision on the processing results. The experimental results show that the mimic system is more security than traditional system.
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Harvey, Francis. „From Geographic Holism to Geographic Information System“. Professional Geographer 49, Nr. 1 (Februar 1997): 77–85. http://dx.doi.org/10.1111/0033-0124.00058.

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Patil, Mrs Shweta, und A. R. Kambekar. „Floodplain Mapping Using Hydraulic Simulation and Geographic Information System“. Indian Journal Of Science And Technology 15, Nr. 39 (21.10.2022): 2027–36. http://dx.doi.org/10.17485/ijst/v15i39.1056.

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Unel, F. B., I. B. Gundogdu und S. Yalpir. „The Impact of Multimedia Geographic Information System in Tourism“. International Journal of Computer Theory and Engineering 7, Nr. 1 (Februar 2014): 81–85. http://dx.doi.org/10.7763/ijcte.2015.v7.935.

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Hess, Ronald L., Ronald S. Rubin und Lawrence A. West. „Geographic information systems as a marketing information system technology“. Decision Support Systems 38, Nr. 2 (November 2004): 197–212. http://dx.doi.org/10.1016/s0167-9236(03)00102-7.

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Veshtort, A. M., S. I. Kashkevich, S. B. Kostyukevich, V. V. Krasnoproshin und S. G. Sinyakovich. „A GEOGRAPHIC INFORMATION SYSTEM FOR PHYSICAL-GEOGRAPHIC REGIONALIZATION“. Mapping Sciences and Remote Sensing 25, Nr. 4 (Oktober 1988): 284–90. http://dx.doi.org/10.1080/07493878.1988.10641729.

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WANG, Xiao-Jun. „Participatory geographic information system review“. Chinese Journal of Eco-Agriculture 18, Nr. 5 (10.12.2010): 1138–44. http://dx.doi.org/10.3724/sp.j.1011.2010.01138.

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Koeva, M. „GEOGRAPHIC INFORMATION SYSTEM – TOBEL“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4/W1 (06.05.2013): 37–40. http://dx.doi.org/10.5194/isprsarchives-xl-4-w1-37-2013.

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Varushenko, S. S. „Domestic Geographic Information System AXIOM“. Geodesy and Cartography 906, Nr. 13 (29.02.2016): 32–33. http://dx.doi.org/10.22389/0016-7126-2015-32-33.

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Dissertationen zum Thema "Geographic information system"

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Alvarez, Elma L. „Semantic geographic information system“. FIU Digital Commons, 1996. http://digitalcommons.fiu.edu/etd/1262.

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This thesis research describes the design and implementation of a Semantic Geographic Information System (GIS) and the creation of its spatial database. The database schema is designed and created, and all textual and spatial data are loaded into the database with the help of the Semantic DBMS's Binary Database Interface currently being developed at the FIU's High Performance Database Research Center (HPDRC). A friendly graphical user interface is created together with the other main system's areas: displaying process, data animation, and data retrieval. All these components are tightly integrated to form a novel and practical semantic GIS that has facilitated the interpretation, manipulation, analysis, and display of spatial data like: Ocean Temperature, Ozone(TOMS), and simulated SeaWiFS data. At the same time, this system has played a major role in the testing process of the HPDRC's high performance and efficient parallel Semantic DBMS.
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Alameh, Nadine Sami. „Internet-based collaborative geographic information system“. Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/50305.

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Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 1997, and Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1997.
Includes bibliographical references (leaves 129-131).
by Nadine Sami Alameh.
M.S.
M.C.P.
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Dos-Santos, Sasha. „A geographic information system for dynamic ridematching“. [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001046.

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Basnet, Badri Bahadur. „Geographic Information System based manure application planning“. University of Southern Queensland, Faculty of Engineering and Surveying, 2002. http://eprints.usq.edu.au/archive/00001410/.

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[Abstract]: The disposal of animal waste has become a problem in many parts of the world due to the rapid growth in the number and the size of intensive animal industries. Safe waste disposal sites are rarely available and the relocation and/or treatment of animal waste is seldom economically viable. The reuse of animal waste for energy recovery and re-feeding is also not popular. Animal waste is a valuable source of plant nutrients and a very good soil conditioner, and has been commonly applied as fertiliser to agricultural fields. However, due to the increasing oversupply of animal waste in recent years, it has often been applied in excess to the agricultural fields. Excessive application of animal waste, without due consideration of its implications, is a serious concern. The run-off and leaching losses of nutrients from the fields fertilised with animal waste have contributed significantly to the eutrophication and toxic blue-green algae blooms in surface water systems and nitrification of ground water systems. It has also led to nutrient imbalances in the soils and odour pollution to the surrounding communities. The animal waste, which is a valuable source of plant nutrients, has thus become both an economic and environmental burden, and there is a need to develop a strategy for its sensible use as a fertiliser in agricultural fields. Sensible use of animal waste involves the consideration of all the agricultural, environmental, social, and economical limitations. A rational method of achieving this is to restrict the use of animal waste to sites suitable for such uses, identify areas where it can be relocated and applied economically, limit the application rates to a safe level, and observe appropriate manure management practices. This study addressed each of these components by developing a comprehensive manure application plan (MAP) for the site-specific use of animal waste as fertiliser in agricultural fields. Various geographic information systems (GIS) based techniques, including a weighted linear combination model and map algebra based cartographic modelling, were employed to achieve the goal. The appropriateness of the existing techniques and procedures were evaluated and modified to meet the current input requirements. New methods of analysis were devised as necessary. The Westbrook sub-catchment of the Condamine River catchment in south-east Queensland was selected as the study area. The sub-catchment covers 24,903 hectares and contains 39 intensive animal industries. The catchment is also a part of the Murray-Darling Basin, which has been suffering from toxic blue green algae blooms recurrently since 1991. This study identified that only about one-fifth of the sub-catchment area is suitable for animal waste application. Depending on the method of site suitability analysis and the number of input factors used the suitable area ranged between 16 and 22 percent. This comparatively small area is mainly due to the presence of a large proportion of non-agricultural areas in the sub-catchment. The suitable areas were also found to have various degrees of suitability for waste application. However, the degree of site suitability was affected by the number of input factors used in the analysis, the weighting of the factors, and the method of factor attribute standardisation. Conventional methods of weighting input factors were found to be cumbersome and not particularly suitable. Hence, this study developed a new ‘objective oriented comparison’ method of factor weighting. Standardisation of input factors using a continuous, rather than discrete, classification (ie fuzzy set) method was found to be more consistent in degree of suitability determination. The discrete classification of factor attributes into classes of different numbers and sizes, and the weighting of classes to a sum of one, were identified as a limitation in using this standardisation method. A new ‘weight adjustment’ method was devised and demonstrated to reduce factor-weighting biases. The suitable sites, degree of site suitability, and other relevant spatial and non-spatial information were processed within a GIS framework to develop a comprehensive manure application plan. The inherently high presence of available phosphorus in the soils of the study area was recognised and the P2O5 content in the manure was used as the basis for determining manure application rates. A complimentary nitrogen supply map was also generated. Manure management practices applicable to the areas with a lower degree of suitability were also suggested.
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Finniear, Lee John. „An intelligent Geographic Information System for design“. Thesis, Loughborough University, 1991. https://dspace.lboro.ac.uk/2134/32546.

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Recent advances in geographic information systems (GIS) and artificial intelligence (AI) techniques have been summarised, concentrating on the theoretical aspects of their construction and use. Existing projects combining AI and GIS have also been discussed, with attention paid to the interfacing methods used and problems uncovered by the approaches. AI and GIS have been combined in this research to create an intelligent GIS for design. This has been applied to off-shore pipeline route design. The system was tested using data from a real pipeline design project.
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Fontanella, Shaun. „Indexing Geographic Information Using the Domain Name System“. The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1345531139.

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Bengtsson, Jonas, und Mikael Grönkvist. „Performing Geographic Information System Analyses on Building Information Management Models“. Thesis, KTH, Geodesi och satellitpositionering, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208922.

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As the usage of both BIM (Building Information Modelling) and 3D-GIS (Three-Dimensional Geographic Information Systems) has increased within the field of urban development and construction, so has the interest in connecting these two tools.  One possibility of integration is the potential of visualising BIM models together with other spatial data in 3D. Another is to be able to perform spatial 3D analyses on the models. Both of these can be achieved through use of GIS software. This study explores how integration of BIM and GIS could look. The goal was to perform typical GIS analyses in 3D on BIM models. Previous research points towards some success within the field through use of the indicated standard format for each tool – IFC (Industry Foundation Classes) for BIM and CityGML (City Geographic Markup Language) for GIS. Transformation between the formats took place through use of the BIM software Revit, the transformation tool FME and the GIS software ArcGIS. A couple of reviewed applications of GIS analyses were chosen for testing on the converted models – indoor network analysis, visibility analysis and spatial analysis for 3D buildings. The input data in the study was several BIM models, both models created for real-life usage and others that only function as sample data within the different software. From the results of the practical work it can be concluded that a simple, automated and full-scale integration does not seem to be within reach quite yet. Most transformations between IFC and CityGML failed to some extent, especially the more detailed and complex ones. In some test cases, the file could not be imported into ArcGIS and in others geometries were missing or existing even though they should not. There were also examples where geometries had been moved during the process. As a consequence of these problems, most analyses failed or did not give meaningful results. A few of the original analyses did give positive results. Combining (flawed) CityGML models with other spatial data for visualisation purposes worked rather well. Both the shadow volume and sightline analyses did also get reasonable results which indicates that there might be a future for those applications. The obstacles for a full-scale integration identified during the work were divided into four different categories. The first is BIM usage and routines where created models need to be of high quality if the final results are to be correct. The second are problems concerning the level of detail, especially the lack of common definitions for the amount of details and information. The third category concerns the connection between local and global coordinate systems where a solution in form of updates to IFC might already be in place. The fourth, and largest, category contains those surrounding the different formats and software used. Here, focus should lie on the transformation between IFC and CityGML. There are plenty of possible, future, work concerning these different problems. There is also potential in developing own tools for integration or performing different analyses than those chosen for this thesis.
I takt med den ökade användningen av både BIM och 3D-GIS inom samhällsbyggnadsprocessen har även intresset för att sammanföra de två verktygen blivit större. En möjlighet med integration är potentialen att visualisera BIM-modeller tillsammans med andra geografiska data i 3D. En annan är att kunna genomföra rumsliga 3D-analyser på modellerna. Båda dessa går att utföra med hjälp av GIS-programvara. Denna studie utforskar hur en integration mellan BIM och GIS kan se ut. Målet är att genomföra typiska GIS-analyser i 3D på BIM-modeller. Tidigare forskning pekar mot vissa framgångar inom området genom att arbeta med det utpekade standardformatet för respektive verktyg – IFC för BIM och CityGML för GIS. Transformation mellan formaten skedde med hjälp av programvarorna Revit, FME och ArcGIS. Ett par framhållna tillämpningar av GIS-analyser valdes ut för tester på de konverterade modellerna – nätverksanalyser inomhus, siktanalyser och rumsliga analyser för 3D-byggnader. Som indata användes flera olika BIM-modeller, både sådana som tillverkats för faktisk användning och modeller som skapats för att användas som exempeldata inom programvarorna. Utifrån resultaten från det praktiska arbetet kan konstateras att en enkel, automatiserad och fullskalig integration mellan verktygen verkar ligga en bit in i framtiden. De flesta transformationerna mellan IFC och CityGML misslyckades i någon aspekt, speciellt de mer detaljerade och komplexa. I vissa testfall kunde filen inte importeras i ArcGIS, i andra saknas eller existerar oväntade geometrier även om importen lyckats. Det finns också exempel där geometrier förflyttats. Som en konsekvens av dessa problem kunde de flesta 3D-analyser inte genomföras alls eller lyckades inte ge betydelsefulla resultat. Ett fåtal av de ursprungliga analyserna gav dock positiv utdelning. Att kombinera (felaktiga) CityGML-modeller med annan rumslig data fungerade förhållandevis väl ur ett visualiseringssyfte. Både skuggvolymsanalysen och framtagandet av siktlinjer från byggnaderna gav någorlunda korrekta resultat vilket indikerar att det kan finnas en framtid gällande de tillämpningarna. Hindren för en fullskalig integration som identifierades genom arbetet delades upp i fyra olika kategorier. Den första är BIM-användning där hög kvalitet på de skapade modellerna är viktigt för korrekta slutresultat. Den andra är detaljeringsgraden där avsaknaden av gemensamma definitioner för detaljeringsgraderna ställer till problem. Den tredje kategorin är koordinat- och referenssystem där en lösning på kopplingen mellan lokala och globala system redan kan finnas på plats i en av de senare utgåvorna av IFC-formatet. Den sista och största kategorin är problematiken kring just format och programvaror där mer arbete på översättningen mellan IFC och CityGML kommer att krävas. I framtiden finns det gott om arbete att göra med dessa olika problem. Det finns också potential att utveckla egna verktyg för integrationen eller att ägna sig åt att göra andra analyser än de som valdes ut i den här studien.
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Zhu, Bin, und Hsinchun Chen. „Validating a Geographic Image Retrieval System“. Wiley Periodicals, Inc, 2000. http://hdl.handle.net/10150/105934.

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Artificial Intelligence Lab, Department of MIS, University of Arizona
This paper summarizes a prototype geographical image retrieval system that demonstrates how to integrate image processing and information analysis techniques to support large-scale content-based image retrieval. By using an image as its interface, the prototype system addresses a troublesome aspect of traditional retrieval models, which require users to have complete knowledge of the low-level features of an image. In addition we describe an experiment to validate the performance of this image retrieval system against that of human subjects in an effort to address the scarcity of research evaluating performance of an algorithm against that of human beings. The results of the experiment indicate that the system could do as well as human subjects in accomplishing the tasks of similarity analysis and image categorization. We also found that under some circumstances texture features of an image are insufficient to represent a geographic image. We believe, however, that our image retrieval system provides a promising approach to integrating image processing techniques and information retrieval algorithms.
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Kleene, J. Wesley. „Watershed nonpoint source management system : a geographic information system approach /“. Diss., This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-02272007-092409/.

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Shesham, Sriharsha. „Integrating Expert System and Geographic Information System for Spatial Decision Making“. TopSCHOLAR®, 2012. http://digitalcommons.wku.edu/theses/1216.

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Spatial decision making is a process of providing an effective solution for a problem that encompasses semi-structured spatial data. It is a challenging task which involves various factors to consider. For example, in order to build a new industry, an appropriate site must be selected for which several factors have to be taken into consideration. Some of the factors, which can affect the decision in this particular case, are air pollution, noise pollution, and distance from living areas, which makes the decision difficult. The geographic information systems (GIS) and the expert systems (ES) have many advantages in solving problems in their prospective areas. Integrating these two systems will benefit in solving spatial decision making problems. In the past, many researchers have proposed integrating systems which extracts the data from the GIS and saves it in the database for decision making. Most of the frameworks which have been developed were system dependent and are not properly structured. So it is difficult to search the data. This thesis proposes a framework which extracts the GIS data and processes it with the help of ES decision making capabilities to solve the spatial decision making problem. This framework is named GeoFilter. This research classifies various types of mechanisms that can be used to integrate these two systems.
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Bücher zum Thema "Geographic information system"

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Pandey, Jatin. Geographic information system. New Delhi: The Energy and Resources Institute, 2014.

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Great Britain. Treasury. Central Computer and Telecommunications Agency., Hrsg. Geographic information and geographic information system standards. London: HMSO, 1994.

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Geological Survey (U.S.), Hrsg. Geographic Names Information System. [Reston, VA: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.

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1946-, Payne Roger L., und Geological Survey (U.S.). National Mapping Division., Hrsg. Geographic Names Information System. Reston, Va: Dept. of the Interior, U.S. Geological Survey, 1987.

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Payne, Roger L. Geographic Names Information System. Reston, Va: The Survey, 1986.

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United Nations. Dept. of Economic and Social Affairs., Hrsg. Geographic information systems for power system planning. New York: United Nations, 1997.

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Lahiri, Manosi. The Bihar geographic information system. Bombay: Popular Prakashan, 1993.

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Wibbenmeyer, Merlin J. Geographic information system: Database directory. Anchorage, Alaska: Alaska Dept. of Natural Resources, Division of Geological & Geophysical Surveys, Resource Analysis Section, 1987.

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United States. Bureau of Land Management. Denver Service Center. Geographic information system: [concept document]. [Denver, Colo: Bureau of Land Management, Denver Service Center, 1985.

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G, Levinsohn A., Hrsg. Managing geographic information system projects. New York: Oxford University Press, 1995.

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Buchteile zum Thema "Geographic information system"

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Goodchild, Michael F. „Geographic Information System“. In Encyclopedia of Database Systems, 1–6. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_178-2.

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Weik, Martin H. „geographic information system“. In Computer Science and Communications Dictionary, 680. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_7943.

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Goodchild, Michael F. „Geographic Information System“. In Encyclopedia of Database Systems, 1231–36. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_178.

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Goodchild, Michael F. „Geographic Information System“. In Encyclopedia of Database Systems, 1595–600. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_178.

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Antenucci, John C., Kay Brown, Peter L. Croswell, Michael J. Kevany und Hugh Archer. „Geographic Information System Software“. In Geographic Information Systems, 161–83. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3934-6_8.

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Antenucci, John C., Kay Brown, Peter L. Croswell, Michael J. Kevany und Hugh Archer. „Geographic Information System Software“. In Geographic Information Systems, 161–83. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-6533-4_8.

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Shekhar, Shashi, und Hui Xiong. „Oracle Geographic Information System“. In Encyclopedia of GIS, 820. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_933.

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Peck, Stewart B., Carol C. Mapes, Netta Dorchin, John B. Heppner, Eileen A. Buss, Gustavo Moya-Raygoza, Marjorie A. Hoy et al. „Geographic Information System (GIS)“. In Encyclopedia of Entomology, 1606. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6359-6_1072.

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Kirilenko, Andrei P. „Geographic Information System (GIS)“. In Applied Data Science in Tourism, 513–26. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88389-8_24.

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Antenucci, John C., Kay Brown, Peter L. Croswell, Michael J. Kevany und Hugh Archer. „System Configurations and Data Communications“. In Geographic Information Systems, 184–208. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3934-6_9.

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Konferenzberichte zum Thema "Geographic information system"

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Ya'acob, Norsuzila, Aziean Mohd Azize und Nik Muhammad Ridhwan Nik Zainal Alam. „Parking system using Geographic Information System (GIS)“. In 2016 IEEE Conference on Systems, Process and Control (ICSPC). IEEE, 2016. http://dx.doi.org/10.1109/spc.2016.7920695.

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Ai-liang, Xie. „Geographic Information System Application in Ecotourism“. In 2012 International Conference on Business Computing and Global Informatization (BCGIN). IEEE, 2012. http://dx.doi.org/10.1109/bcgin.2012.124.

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A, Ana, Indah Khoerunnisa, M. Muktiarni, Vina Dwiyanti und Asep Maosul. „School Mapping Using Geographic Information System“. In 6th UPI International Conference on TVET 2020 (TVET 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210203.075.

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Gomez, Kyle R., und John J. Marra. „Catastrophic Coastal Hazards Geographic Information System“. In Coastal Disasters Conference 2002. Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40605(258)71.

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5

Arora, Pardeep Kumar, Rajesh Bhatia, Shashi Parkash und Bikaram Jit Singh Sekhon. „Web based rural Geographic Information System“. In 2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT). IEEE, 2015. http://dx.doi.org/10.1109/icecct.2015.7226061.

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6

Hang, Bo. „Three-dimensional visual geographic information system“. In 2011 International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE). IEEE, 2011. http://dx.doi.org/10.1109/urke.2011.6007803.

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7

Kavathekar, Vaishali, Janhavi Baikerikar, Jitendra Shah, Amiyakumar Tripathy, Rishabh Munjal und Calvin Monteiro. „School Mapping using Geographic Information System“. In 2019 IEEE 5th International Conference for Convergence in Technology (I2CT). IEEE, 2019. http://dx.doi.org/10.1109/i2ct45611.2019.9033948.

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8

Marble, D. F. „Geographic Information System Technology And Decision Support Systems“. In Proceedings of HICSS 32 - 32nd Annual Hawaii International Conference on System Sciences. IEEE, 1999. http://dx.doi.org/10.1109/hicss.1999.772608.

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9

Wu, Jing, Yunhuai Liu, Jian Wang und Xuan Cai. „A geographic information based video segmentation method“. In 2012 7th International Conference on System of Systems Engineering (SoSE). IEEE, 2012. http://dx.doi.org/10.1109/sysose.2012.6333477.

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10

Mai-huan, Zhao, Zhang Xiang-da und Xu Chen-guang. „Geographic Information System Application for Water Resource“. In 2009 International Conference on Energy and Environment Technology. IEEE, 2009. http://dx.doi.org/10.1109/iceet.2009.382.

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Berichte der Organisationen zum Thema "Geographic information system"

1

Peek, Dennis W., Donald Alan Helfrich und Susan Gorman. Environmental geographic information system. Office of Scientific and Technical Information (OSTI), August 2010. http://dx.doi.org/10.2172/1097199.

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2

Wibbenmeyer, M. J. Geographic information system - data base directory. Alaska Division of Geological & Geophysical Surveys, 1987. http://dx.doi.org/10.14509/1314.

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3

Tzemos, S., und E. S. Overton. The Geographic Information System component of the Hanford Environmental Information System. Office of Scientific and Technical Information (OSTI), Januar 1992. http://dx.doi.org/10.2172/5878150.

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4

Payne, R. L. Geographic Names Information System (GNIS): philosophy and function. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/298212.

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5

Gordon, D. E. Savannah River Site Geographic Information System management plan. Office of Scientific and Technical Information (OSTI), Februar 1992. http://dx.doi.org/10.2172/10159521.

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6

Gordon, D. E. Savannah River Site Geographic Information System management plan. Office of Scientific and Technical Information (OSTI), Februar 1992. http://dx.doi.org/10.2172/7275284.

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7

Richardson, K. A. geophysical exploration and geographic information system (GIS) applications. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1996. http://dx.doi.org/10.4095/211813.

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8

Timothy R. Carr. National Carbon Sequestration Database and Geographic Information System (NatCarb). Office of Scientific and Technical Information (OSTI), September 2006. http://dx.doi.org/10.2172/901088.

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9

Timothy R. Carr. National Carbon Sequestration Database and Geographic Information System (NatCarb). Office of Scientific and Technical Information (OSTI), Februar 2006. http://dx.doi.org/10.2172/881977.

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10

Johnson, PE. Transportation Routing Analysis Geographic Information System (TRAGIS) User's Manual. Office of Scientific and Technical Information (OSTI), September 2003. http://dx.doi.org/10.2172/885562.

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