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Добірка наукової літератури з теми "Geographic information systems"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 31 липня 2024

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Статті в журналах з теми "Geographic information systems"

1

Sweeney, Michael W. "Geographic Information Systems." Water Environment Research 72, no. 6 (October 1, 2001): 134–40. http://dx.doi.org/10.2175/106143000x138382.

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2

Cornelius, Sarah, and Tor Bernhardsen. "Geographic Information Systems." Geographical Journal 163, no. 1 (March 1997): 104. http://dx.doi.org/10.2307/3059709.

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3

Sweeney, Michael W. "Geographic information systems." Water Environment Research 68, no. 4 (June 1996): 416–20. http://dx.doi.org/10.2175/106143096x135272.

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4

Sweeney, Michael W. "Geographic information systems." Water Environment Research 69, no. 4 (June 1997): 419–22. http://dx.doi.org/10.2175/106143097x134740.

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5

Sweeney, Michael W. "Geographic information systems." Water Environment Research 70, no. 4 (June 1998): 424–28. http://dx.doi.org/10.2175/106143098x134163.

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6

Sweeney, Michael W. "Geographic Information Systems." Water Environment Research 71, no. 5 (August 1999): 551–56. http://dx.doi.org/10.2175/106143099x133631.

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7

Khan, O. A. "Geographic information systems." American Journal of Public Health 89, no. 7 (July 1999): 1125. http://dx.doi.org/10.2105/ajph.89.7.1125.

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8

Felke, Thomas P. "Geographic Information Systems." Journal of Evidence-Based Social Work 3, no. 3-4 (November 20, 2006): 103–13. http://dx.doi.org/10.1300/j394v03n03_08.

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9

Goodchild, M. F. "Geographic information systems." Progress in Human Geography 12, no. 4 (December 1988): 560–66. http://dx.doi.org/10.1177/030913258801200407.

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10

Goodchild, Michael F. "Geographic information systems." Progress in Human Geography 15, no. 2 (June 1991): 194–200. http://dx.doi.org/10.1177/030913259101500205.

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Дисертації з теми "Geographic information systems"

1

Azar, Kamal T. (Kamal Toufic). "Integrating geographic information systems into transit passenger information systems." Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/63195.

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2

Fonseca, Frederico Torres. "Ontology-Driven Geographic Information Systems." Fogler Library, University of Maine, 2001. http://www.library.umaine.edu/theses/pdf/FonsecaFT2001.pdf.

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3

Pascoe, Richard T. "Translating data between geographic information systems." Thesis, University of Canterbury. Computer Science, 1989. http://hdl.handle.net/10092/8408.

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Анотація:

Transferring data from one geographic information system (GIS) to another is difficult because of the diverse, and often complex, structure of transfer file formats. Accordingly, the design and implementation of an interface for transferring data from one format to another is time consuming and difficult. The translation may be performed by an interface constructed for the two formats (the individual interfacing strategy), by two interfaces through an interchange format (the interchange format interfacing strategy), or by a number of interfaces through a series of formats (the ring interfacing strategy). The interchange format interfacing strategy is widely adopted because it offers an acceptable compromise between the quality of the data translation and number of interfaces required. In contrast, the individual interfacing strategy achieves the best quality of translation but is generally rejected because of the impracticality of constructing a large number of interfaces. The goal pursued in this thesis is to maximise the quality of the translation by overcoming the impracticality of the individual interfacing strategy. This is achieved in the following way. An interface is divided into three phases: the decode phase, in which the source format decoder places data from the source format into a relational data base; the translate phase, in which the data is restructured according to a translation algorithm written in a relational query language; and the encode phase, in which the target format encoder places data from the relational data base into the target format. The time and effort involved in implementing these phases of data translation is minimised with the assistance of the following software tools: parser generators and lexical analysers which are used for generating format decoders; a relational data base management system which is used for implementing translation algorithms; and an encoder generator which is used for generating format encoders. The encoder generator is a new tool developed in this thesis. The efficacy of these tools is demonstrated, and a significant reduction in the effort of constructing interfaces is achieved, making the individual interfacing strategy a practical approach.

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4

COUTO, LEONARDO MATRICIANO. "MODEL-DRIVEN ADAPTIVE GEOGRAPHIC INFORMATION SYSTEMS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2006. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=9648@1.

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Анотація:

PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
Esta dissertação apresenta uma estratégia para desenvolver sistemas de informação geográfica, seguindo uma variante do padrão de projeto Modelo- Visão-Controle (MVC). A estratégia adota modelos para reproduzir classes de usuário e capturar características adicionais das classes de informação da aplicação. A variante do padrão MVC proposta altera os componentes para implementar mecanismos de adaptação, interpretando os modelos definidos. O trabalho descreve ainda um fragmento de uma aplicação projetada segundo a estratégia proposta.
This dissertation introduces a strategy to develop geographic information systems based on a variant of the Model-View-Controller (MVC) design pattern. The strategy adopts models to reproduce user classes and to capture additional characteristics of the information classes. The MVC components are modified to implement adaptation mechanisms, which interpret the models. The dissertation also describes an example application designed according to the proposed strategy.

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5

Fischer, Manfred M., and Peter Nijkamp. "Geographic Information Systems and Spatial Analysis." WU Vienna University of Economics and Business, 1991. http://epub.wu.ac.at/4219/1/WSG_DP_1491.pdf.

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6

Love, Kimberly R. "Modeling Error in Geographic Information Systems." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/29900.

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Geographic information systems (GISs) are a highly influential tool in today's society, and are used in a growing number of applications, including planning, engineering, land management,and environmental study. As the field of GISs continues to expand, it is very important to observe and account for the error that is unavoidable in computerized maps. Currently, both statistical and non-statistical models are available to do so, although there is very little implementation of these methods. In this dissertation, I have focused on improving the methods available for analyzing error in GIS vector data. In particular, I am incorporating Bayesian methodology into the currently popular G-band error model through the inclusion of a prior distribution on point locations. This has the advantage of working well with a small number of points, and being able to synthesize information from multiple sources. I have also calculated the boundary of the confidence region explicitly, which has not been done before, and this will aid in the eventual inclusion of these methods in GIS software. Finally, I have included a statistical point deletion algorithm, designed for use in situations where map precision has surpassed map accuracy. It is very similar to the Douglas-Peucker algorithm, and can be used in a general line simplification situation, but has the advantage that it works with the error information that is already known about a map rather than adding unknown error. These contributions will make it more realistic for GIS users to implement techniques for error analysis.
Ph. D.

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7

Corner, Robert J. "Knowledge representation in geographic information systems." Thesis, Curtin University, 1999. http://hdl.handle.net/20.500.11937/928.

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In order to satisfy increasing demand for better, smarter, more flexible land resource information an alternative form of representation is proposed. That representation is to be achieved through the coupling of Expert System methods and Geographic Information Systems. Instead of representing resource information using entities such as soil types, defined by rigid boundaries on a map, a more fluid presentation is proposed. Individual resource attributes will be represented by surfaces that describe their probability of occurrence, at a number of levels, across a landscape. Such flexible representations, which are designed to better capture the mental models behind their creation, are capable of being combined and synthesised to answer a wide range of resource queries.An investigation of methods of knowledge representation in a number of fields of research, led to the belief that a Bayesian Network provides a representational calculus that is appropriate to the "fuzzy" and imprecise conceptual models used in resource assessment. The fundamental mathematical principles of such networks have been tailored to provide a representation that is in tune with the intuitive processes of a surveyor's thinking.Software has been written to demonstrate the method and tested on a variety of data sets from Australia and overseas. These tests and demonstrations have used a range of densities of knowledge and range of acuity in evidential data. In general the results accord with the mental models used as drivers. A number of operational facets of the method have been highlighted during these demonstrations and attention has been given to a discussion of them.

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8

Corner, Robert J. "Knowledge representation in geographic information systems." Curtin University of Technology, School of Spatial Sciences, 1999. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=11740.

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Анотація:

In order to satisfy increasing demand for better, smarter, more flexible land resource information an alternative form of representation is proposed. That representation is to be achieved through the coupling of Expert System methods and Geographic Information Systems. Instead of representing resource information using entities such as soil types, defined by rigid boundaries on a map, a more fluid presentation is proposed. Individual resource attributes will be represented by surfaces that describe their probability of occurrence, at a number of levels, across a landscape. Such flexible representations, which are designed to better capture the mental models behind their creation, are capable of being combined and synthesised to answer a wide range of resource queries.An investigation of methods of knowledge representation in a number of fields of research, led to the belief that a Bayesian Network provides a representational calculus that is appropriate to the "fuzzy" and imprecise conceptual models used in resource assessment. The fundamental mathematical principles of such networks have been tailored to provide a representation that is in tune with the intuitive processes of a surveyor's thinking.Software has been written to demonstrate the method and tested on a variety of data sets from Australia and overseas. These tests and demonstrations have used a range of densities of knowledge and range of acuity in evidential data. In general the results accord with the mental models used as drivers. A number of operational facets of the method have been highlighted during these demonstrations and attention has been given to a discussion of them.

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9

San, Martin Roberto. "Information management in disaster and development : geographic information systems." Master's thesis, Instituto Superior de Economia e Gestão, 2013. http://hdl.handle.net/10400.5/6218.

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Mestrado em Desenvolvimento e Cooperação Internacional
This research considers the theoretical and practical link between long-term sustainable development and disaster management. The aim is to develop a theoretical framework and a methodology which allows the use of Geographic Information Systems (GIS) to manage the related information. Literature review leads us to understand development and disaster management as part of a learning cycle. Within this context, a common approach to information management is suggested to support the decision-making process in a cost-effective manner. A “universal” GIS is proposed to integrate information management for development and disaster while exploring the interactions between projects and project and the related geography which is considered a complex reality full of synergies between space, ecosystem, society, culture and economy. Study of academic production, practical implementations, interviews and a limited GIS application (using ArcMap and QGis) are used to endorse the capabilities of this concept. These capabilities are limited by lack of free information and cost of data gathering, interoperability and other technical issues. Open-source and crowdsourcing may solve some limitations while others need further research.

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10

Ndaendelao, Noongo Emma. "The Implementation of geographic information systems in Namibia /." Joensuu : University of Joensuu, 2007. http://opac.nebis.ch/cgi-bin/showAbstract.pl?u20=9789524589147.

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Книги з теми "Geographic information systems"

1

Antenucci, John C., Kay Brown, Peter L. Croswell, Michael J. Kevany, and Hugh Archer. Geographic Information Systems. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3934-6.

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Antenucci, John C., Kay Brown, Peter L. Croswell, Michael J. Kevany, and Hugh Archer. Geographic Information Systems. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-6533-4.

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3

Geological Survey (U.S.), ed. Geographic information systems. [Washington, D.C.?]: U.S. Dept. of the Interior, U.S. Geological Survey, 1991.

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4

County Surveyors' Society. Management and Contract Services Committee. Geographic information systems. [s. n.]: County Surveyors' Society, 1991.

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5

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

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6

Včkovski, Andrej, Kurt E. Brassel, and Hans-Jörg Schek, eds. Interoperating Geographic Information Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/10703121.

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Goodchild, Michael, Max Egenhofer, Robin Fegeas, and Cliff Kottman, eds. Interoperating Geographic Information Systems. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5189-8.

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8

Chrisman, Nicholas. Exploring geographic information systems. 2nd ed. New York: Wiley, 2002.

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9

Obermeyer, Nancy J. Managing geographic information systems. 2nd ed. New York: Guilford Press, 2008.

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10

Water Environment Federation. Implementing Geographic Information Systems Task Force., ed. Implementing geographic information systems. Alexandria, VA: Water Environment Federation, 2004.

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Частини книг з теми "Geographic information systems"

1

Maliva, Robert, and Thomas Missimer. "Geographic Information Systems." In Arid Lands Water Evaluation and Management, 457–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29104-3_19.

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2

Shekhar, Shashi, and Hui Xiong. "Geographic Information Systems." In Encyclopedia of GIS, 363. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_467.

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3

Hanchette, Carol L. "Geographic Information Systems." In Health Informatics, 431–66. New York, NY: Springer New York, 2003. http://dx.doi.org/10.1007/0-387-22745-8_21.

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4

Logsdon, Tom. "Geographic Information Systems." In Understanding the Navstar, 237–57. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-6901-2_16.

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Hanchette, Carol L. "Geographic Information Systems." In Health Informatics, 399–427. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4237-9_21.

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6

Drury, S. A. "Geographic information systems." In Image Interpretation in Geology, 195–207. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-010-9393-4_8.

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Hostert, Patrick, and Oliver Gruebner. "Geographic Information Systems." In Modern Infectious Disease Epidemiology, 177–91. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-93835-6_10.

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8

Hanchette, Carol, and J. A. Magnuson. "Geographic Information Systems." In Health Informatics, 325–47. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41215-9_19.

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9

Mather, Ian Roderick, and Gordon P. Watts. "Geographic Information Systems." In International Handbook of Underwater Archaeology, 679–96. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0535-8_40.

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Bartelme, Norbert. "Geographic Information Systems." In Springer Handbook of Geographic Information, 59–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-540-72680-7_6.

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Тези доповідей конференцій з теми "Geographic information systems"

1

Erkan, Ali, and John Barr. "Geographic Information Systems (GIS)." In SIGCSE '18: The 49th ACM Technical Symposium on Computer Science Education. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3159450.3162374.

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2

Fonseca, Frederico T., and Max J. Egenhofer. "Ontology-driven geographic information systems." In the seventh ACM international symposium. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/320134.320137.

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3

Petrov, Pavel. "Geocodes in Geographic Information Systems." In 2023 International Conference Automatics and Informatics (ICAI). IEEE, 2023. http://dx.doi.org/10.1109/icai58806.2023.10339099.

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4

Radunović, Vasilije, Tomo Popović, Luka Filipović, Stevan Šandi, and Ivana Katnić. "Geographic Information Systems in Statistics." In 2024 23rd International Symposium INFOTEH-JAHORINA (INFOTEH). IEEE, 2024. http://dx.doi.org/10.1109/infoteh60418.2024.10496017.

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5

Fedchenko, O., I. Pampukha, P. Savkov, V. Loza, M. Nikiforov, and R. Koltsov. "Geographic Information Systems in Management Activity." In 18th International Conference on Geoinformatics - Theoretical and Applied Aspects. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201902118.

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Wang, Shaowen, Anand Padmanabhan, James D. Myers, Wenwu Tang, and Yong Liu. "Towards provenance-aware geographic information systems." In the 16th ACM SIGSPATIAL international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1463434.1463515.

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Cortiñas, Alejandro, Miguel R. Luaces, Oscar Pedreira, Ángeles S. Places, and Jennifer Pérez. "Web-based Geographic Information Systems SPLE." In SPLC '17: 21st International Systems and Software Product Line Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3106195.3106222.

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Shaheen Khan Tanoli, Muhammad, and Fazal e Basit. "Design Issues in Geographic Information Systems." In InSITE 2014: Informing Science + IT Education Conference. Informing Science Institute, 2014. http://dx.doi.org/10.28945/2015.

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Galiullin, L. A., and A. Kh Tazmeev. "Geographic information systems data processing method." In 2ND INTERNATIONAL CONFERENCE & EXPOSITION ON MECHANICAL, MATERIAL, AND MANUFACTURING TECHNOLOGY (ICE3MT 2022). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0132376.

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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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Звіти організацій з теми "Geographic information systems"

1

Caldwell, Douglass R., and Linda H. Graff. Directional Regions in Geographic Information Systems (GIS). Fort Belvoir, VA: Defense Technical Information Center, August 1993. http://dx.doi.org/10.21236/ada268536.

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2

Price, Judith M. Information Superiority and Geographic Information Systems: Where Is the U.S. Army? Fort Belvoir, VA: Defense Technical Information Center, May 2003. http://dx.doi.org/10.21236/ada416084.

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3

Kholoshyn, I., T. Nazarenko, O. Bondarenko, O. Hanchuk, and I. Varfolomyeyeva. The application of geographic information systems in schools around the world: a retrospective analysis. IOP Publishing, March 2021. http://dx.doi.org/10.31812/123456789/4560.

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The article is devoted to the problem of incorporation geographic information systems (GIS) in world school practice. The authors single out the stages of GIS application in school geographical education based on the retrospective analysis of the scientific literature. The first stage (late 70 s – early 90s of the 20th century) is the beginning of the first educational GIS programs and partnership agreements between schools and universities. The second stage (mid-90s of the 20th century – the beginning of the 21st century) comprises the distribution of GIS-educational programs in European and Australian schools with the involvement of leading developers of GIS-packages (ESRI, Intergraph, MapInfo Corp., etc.). The third stage (2005–2012) marks the spread of the GIS school education in Eastern Europe, Asia, Africa and Latin America; on the fourth stage (from 2012 to the present) geographic information systems emerge in school curricula in most countries. The characteristics of the GIS-technologies development stages are given considering the GIS didactic possibilities for the study of school geography, as well as highlighting their advantages and disadvantages.

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Холошин, Ігор Віталійович, Тетяна Геннадіївна Назаренко, Ольга Володимирівна Бондаренко, Олена Вікторівна Ганчук, and Ірина Миколаївна Варфоломєєва. The Application of Geographic Information Systems in Schools around the World: a Retrospective Analysis. КДПУ, 2020. http://dx.doi.org/10.31812/123456789/3924.

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The article is devoted to the problem of incorporation geographic information systems (GIS) in world school practice. The authors single out the stages of GIS application in school geographical education based on the retrospective analysis of the scientific literature. The first stage (late 70s – early 90s of the XX century) is the beginning of the first educational GIS programs and partnership agreements between schools and universities. The second stage (mid-90s of the XX century – the beginning of the XXI century) comprises the distribution of GIS-educational programs in European and Australian schools with the involvement of leading developers of GIS-packages (ESRI, Intergraph, MapInfo Corp., etc.). The third stage (2005–2012) marks the spread of the GIS school education in Eastern Europe, Asia, Africa and Latin America; on the fourth stage (from 2012 to the present) geographic information systems emerge in school curricula in most countries. The characteristics of the GIS-technologies development stages are given considering the GIS didactic possibilities for the study of school geography, as well as highlighting their advantages and disadvantages.

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Холошин, Ігор Віталійович, Тетяна Геннадіївна Назаренко, Ольга Володимирівна Бондаренко, Олена Вікторівна Ганчук, and Ірина Миколаївна Варфоломєєва. The Application of Geographic Information Systems in Schools around the World: a Retrospective Analysis. КДПУ, 2020. http://dx.doi.org/10.31812/123456789/3924.

Повний текст джерела

Анотація:

The article is devoted to the problem of incorporation geographic information systems (GIS) in world school practice. The authors single out the stages of GIS application in school geographical education based on the retrospective analysis of the scientific literature. The first stage (late 70s – early 90s of the XX century) is the beginning of the first educational GIS programs and partnership agreements between schools and universities. The second stage (mid-90s of the XX century – the beginning of the XXI century) comprises the distribution of GIS-educational programs in European and Australian schools with the involvement of leading developers of GIS-packages (ESRI, Intergraph, MapInfo Corp., etc.). The third stage (2005–2012) marks the spread of the GIS school education in Eastern Europe, Asia, Africa and Latin America; on the fourth stage (from 2012 to the present) geographic information systems emerge in school curricula in most countries. The characteristics of the GIS-technologies development stages are given considering the GIS didactic possibilities for the study of school geography, as well as highlighting their advantages and disadvantages.

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Stults, Allen H., and Michael W. Mullen. Comparative Analysis of Geographic Information Systems. Phase II Report. Fort Belvoir, VA: Defense Technical Information Center, August 1985. http://dx.doi.org/10.21236/ada351723.

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Sanchez, Diana Carolina, Lorena Lisbeth Talero, José Ferney Mejia Duarte, Silvio Alejandro Cardenas Escobar, Juan Estebacn Urazan Carrillo, and Sara Sofia Peñaranda Fajardo. Geographic information systems for occupational cancer surveillance: Scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2024. http://dx.doi.org/10.37766/inplasy2024.3.0058.

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Han, Daikwon. Integrating Geographic Information Systems (GIS) Into Breast Cancer Epidemiologic Research. Fort Belvoir, VA: Defense Technical Information Center, February 2006. http://dx.doi.org/10.21236/ada457468.

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Charlesworth, P. B. Working group 3 - Geographic information systems for government geological surveys. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/222364.

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Wirick, D. W., G. E. Montgomery, D. C. Wagman, and J. Spiers. The use of information systems to transform utilities and regulatory commissions: The application of geographic information systems. Office of Scientific and Technical Information (OSTI), September 1995. http://dx.doi.org/10.2172/231329.

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