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Big Geospatial Data and the Geospatial Semantic Web: Current State and Future Opportunities
Published in Yulei Wu, Fei Hu, Geyong Min, Albert Y. Zomaya, Big Data and Computational Intelligence in Networking, 2017
Chuanrong Zhang, Weidong Li, Tian Zhao
GIS is a system designed to capture, store, manipulate, analyze, manage, and present all types of geospatial data. GIS has been applied to many different application areas for geospatial analysis and decision-making such as climate change, disaster response, banking, retail and E-commerce, political campaigns, insurance, and fraud analysis. Currently, several commercial desktop GIS software systems dominate the geographical information (GI) industry, such as Esri ArcGIS, Hexagon Geospatial Geomedia, MapInfo Professional, Global Mapper, Manifold GIS, GE Smallworld, Bentley Map, Golden Software MapViewer, and Clark Laboratories IDRISI. Recently, many free, open-source GIS packages have been developed such as GRASS GIS, gvGIS, ILWIS, JUMP GIS, MapWindow GIS, QGIS, SAGA GIS, and uDig. The development of the World Wide Web creates a unique environment for developing GIS. Besides many of commercial Internet GIS programs such as Esri’s ArcGIS Online, a number of open-source Web map servers, such as GeoServer, MapGuide Open Source, Mapnik, and MapServer, have been developed to offer better tools for managing geospatial data over the Web. These online GIS programs have freed many users from the need to store large geospatial data sets on their own servers. It is possible to perform basic spatial data analyses and transmit data back to the office by using these online GIS programs.
A GIS-MCDA BASED ASSESSMENT FOR SITING WIND FARMS AND ESTIMATION OF THE TECHNICAL GENERATION POTENTIAL FOR WIND POWER IN SERBIA
Published in International Journal of Green Energy, 2021
Dejan Doljak, Gorica Stanojević, Dragana Miljanović
Because the selected evaluation criteria have incomparable values, the membership functions of fuzzy sets (Zadeh 1965) were used to characterize the “degree of satisfaction” for each potential site (cell grid) according to the specific criterion. Various membership functions can associate the real number in the interval from 0 (not satisfied) to 1 (fully satisfied). In this study, the SAGA GIS Fuzzify module implemented into the QGIS Version 3.12.1 (2020) was used to covert grid cell values of corresponding evaluation criteria into standardize suitability map. Type of membership function, method, and control points are chosen based on previous studies (Nasehi, Karimi, and Jafari 2016; Pamučar et al. 2017) respecting the principles of environmental protection (Tables 4 and 5).