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Comparative GIS analysis using taxonomy and classification techniques

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article discusses the methodology of comparative analysis of GIS class computer systems using the current elements of taxonomy and classification theory. Eighteen selected GIS class systems that meet the criterion of completeness of all data required in the conducted research were fully analyzed. The proper comparative characteristics were preceded by the recognition of the market situation in terms of the availability of GIS systems. Eight thematic groups of criteria were used in the research, based on which the selection of GIS solutions for comparison was carried out. The adopted system selection criteria carry out the selection of objects in a binary manner. The chosen rules of classifying the system into a set of objects for comparison covered the issue of the availability of the required information. Due to the characteristics carried out, this information was obligatory, because a full set of data is required, which will allow for a comprehensive and factual comparison, based on which a given product (GIS system) can be indicated to the consumer with full responsibility. The set of features and comparative criteria was created based on own experience and numerous consultations with specialists and field experts. The selected criteria are the most widely used and most accepted in the environments that systems of this class use daily. Both the functional scope (features, functions, properties, advantages and disadvantages) as well as the degree of fulfillment of subsequent criteria by the considered systems were determined and described.
Czasopismo
Rocznik
Strony
73--96
Opis fizyczny
Bibliogr. 24 poz.
Twórcy
  • Military University of Technology, Faculty of Cybernetics, Institute of Computer and Information Systems, Warsaw, Poland
autor
  • Military University of Technology, Faculty of Cybernetics, Institute of Computer and Information Systems, Warsaw, Poland
  • Military University of Technology, Faculty of Cybernetics, Institute of Computer and Information Systems, Warsaw, Poland
  • Military University of Technology, Faculty of Cybernetics, Institute of Computer and Information Systems, Warsaw, Poland
Bibliografia
  • 1. Bolstad P. (2019). GIS Fundamentals: The First Text on Geographic Information Systems (6th ed.). XanEdu. ISBN 978-1-59399-552-2.
  • 2. Broome F.R., Meixler D.B. (1990). Structure of the TIGER Database. Cartography and geographic information systems. 17(1):39-47. doi:10.1559/152304090784005859. ISSN 1050-9844.
  • 3. Chang, Kang-tsung (2016). Introduction to Geographic Information Systems (9th ed.). McGraw-Hill. p. 1. ISBN 978-1-259-92964-9.
  • 4. DeMers M. (2009). Fundamentals of geographic information systems (4th ed.). John Wiley & Sons, Inc. ISBN 978-0-470-12906-7.
  • 5. Fitzgerald J.H. (2007). Map printing methods. Archived from the original on 4 June 2007. Retrieved 9 June 2007.
  • 6. Fu, P. and Sun. J. (2010). Web GIS: principles and applications. ESRI Press. Redlands, California. ISBN 1-58948-245-X.
  • 7. Goodchild M.F. (2010). Twenty Years of Progress: GIScience in 2010. Journal of Spatial Information Science (1). doi:10.5311/JOSIS.2010.1.2.
  • 8. http://www.esri.com. "GIS History | The Early History and Future of GIS - Esri". [accessed January 12, 2023].
  • 9. http://www.wiki.osgeo.org/wiki. Open-Source GIS History - OSGeo Wiki Editors. [accessed March 21, 2022].
  • 10. Lubis M.Z., Taki H.M., Anurogo W., Pamungkas D.S., Wicaksono P., Aprilliyanti T. (2017). Mapping the distribution of potential land drought in Batam Island using the integration of remote sensing and geographic information systems (GIS) IOP Conf. Series: Earth and Environmental Science 98 012012 DOI:10.1088/1755-1315/98/1/012012
  • 11. MacHarg I.L. (1971). Design with nature. Natural History Press. OCLC 902596436.
  • 12. Maliene V., Grigonis V., Palevičius V., Griffiths S. (2011). "Geographic Information System: Old Rules with New Possibilities". Urban Design International. 16(1):1-6. doi:10.1057/udi.2010.25. S2CID 110827951.
  • 13. Miłek M., Kiedrowicz M., Stanik J., Napiórkowski J. (2023a). Multi-criteria comparative analysis of GIS class systems, GIS Odyssey Journal, vol. 3, no. 1, pp. 97-122.
  • 14. Miłek M., Kiedrowicz M., Stanik J., Napiórkowski J. (2023b). Comparative characteristics of GIS using the AHP method, GIS Odyssey Journal, vol. 3, no. 1, pp. 41-72.
  • 15. Mironova Y.N. (2018). Some aspects of Geoinformatics. Monograph (Moscow: Pero Publishing House) p. 98.
  • 16. Mironova Y.N. (2020). Mathematical Methods in Geoinformatics 2020 International MultiConference on Industrial Engineering and Modern Technologies (FarEastCon) 6-9 Oct. 2020, (Vladivostok, Russia) URL: https://ieeexplore.ieee.org/document/9271594 DOI: 10.1109/FarEastCon50210.2020.9271594
  • 17. Neema N.L., Zhenfeng S., Mgelwa A., Nana Y., Danquah T., Orhan A. and Sanga C.A. (2020). A Fuzzy Logic-Based Approach for Modeling Uncertainty in Open Geospatial Data on Landfill Suitability Analysis International Journal of Geo-Information. ISPRS Int. J. Geo-Inf. 9,737 URL: www.mdpi.com/journal/ijgi doi:10.3390/ijgi9120737
  • 18. Risky Y.S., Wahyu N., Raden R., Yudha A., Brada I.T., Artanti P.Z., Rosyita A., Wisudawan P.D. and Sudaryatno (2018). Using remote sensing and geographic information system (GIS) for peak discharge estimating in catchment of way ratai, pesawaran district, lampung province IOP conf. Series: Earth and Environmental Science 165 012032 DOI:10.1088/1755-1315/165/1/012032
  • 19. Somers R., 1996, Managing GIS: What do we really know? In Proceedings of the Conference on 'Managing Geographic Information Systems for Success' (Melbourne: Center for Geographic Information Systems and Modelling, The University of Melbourne), pp. 1-10.
  • 20. Tobler W. (2009). Automation and cartography. Geographic overview. 49(4): 526-534. doi:10.2307/212211. JSTOR 212211. Retrieved March 10, 2022.
  • 21. Vastag P.H., Thum P.G., Niemann Jr. B.J., 1994, Project LOCALIS: implementing LIS/GIS in local government. URISA Journal, 6, pp. 78-83.
  • 22. Weill P., Broadbent M., 1994, Infrastructure mix and match. Management Information Systems (October), pp. 2-55.
  • 23. Xuan, Zhu (2016). GIS for environmental applications A practical approach. ISBN 9780415829069. OCLC 1020670155.
  • 24. Zhang J., Zhang J., Du X., Hou K., Qiao M. (2017). An overview of ecological montirng based on geographic information system (GIS) and remote sensing (RS) technology in Chna IOP Conf. Series: Earth and Environmental Science 94 012056 DOI:10.1088/1755-1315/94/1/012056
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b72bca9e-b895-47ed-91fb-fb3da01602a0
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