As a condition of using these data, you must cite the use of this data set. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Other ...
Deep learning model inferencing in ArcGIS is implemented on top of the Python raster function framework. This repository serves to provide guidance on deep learning Python raster functions in ArcGIS, ...
The WRF-Hydro GIS Pre-processor provides various scripts and tools for building the geospatial input files for running a WRF-Hydro simulation. gdal 3.6.3 netcdf4 1.6.3 numpy 1.24.2 packaging 23.0 ...
Post Occupancy Evaluations (POE) provided a systematic methodology for determining the performance gap between expected and actual performance. Monitoring quality of the indoor environment is ...
Abstract: Geographic information systems belong the group of applications that process spatial data. Some spatial analyses are operated repetitively in the same way for different area or district.
Background: There is interest in the use geospatial data for development of acute stroke services given the importance of timely access to acute reperfusion therapy. This paper aims to introduce ...
Latin America is often overlooked when it comes to persistent threats and groups with politically motivated targets. There is, however, an ongoing case of cyberespionage against high-profile ...
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