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The overall permafrost distribution patterns were analyzed using the ARCGIS software.
The spatial variability of water quality of an industrial zone was performed using the ArcGIS software v9.3.
For the processing of spatial data we applied GIS techniques using the ArcGIS software (ESRI) and for the modeling we used the InVEST 3.2 software (Natural Capital Project).
Then, using the ArcGIS software and the inverse distance weighted method (IDW), the spatial distribution surfaces of rainstorms and sandstorms were generated (Figs. 6, 7).
Landsat image was used in ERDAS Imagine to drive the LULC of the area, while the geomorphology, soil, and lithology of the area were identified and classified through field survey and digitized from existing maps using the ArcGIS software.
Using the ArcGIS software, various maps were produced of infected herds, stratified on animal species as well as salmonella serotype.
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The spatial analysis of various physico-chemical parameters was carried out using the ArcGIS 9.3 software.
The slope map was prepared from SRTM DEM data using the ArcGIS 10.2 software (Fig. 2).
A novel groundwater energy database, combining the groundwater area and land use information, was created using the ArcGis 10 software.
The whole process for GIS data and analyses are carried out by using the ArcGIS 10 software Model Builder tool.
Based on the processing of attributes included in the KEC method, a real-time debris-flow hazard assessment framework for expressways was newly developed using the ArcGIS 10.2 software (Fig. 1).
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