Standardized data modeling has become essential within the continually changing environment of geospatial information systems (GIS). Organizations extensively use GIS to plan infrastructure and ...

Despite the growth of GIS and spatially enabled applications, surprisingly few people have augmented their traditional point, line, and polygon GIS with more sophisticated spatial tools and ...

You'll work with raster data in a visual programming environment, learning automation and GIS scripting methods that will help you in your own research or in a job or internship. This class provides ...

The Geographic Information System team for the City of Lawrence has earned a Special Achievement Award for its work on the sidewalk network model that is being used to prioritize the construction ...

The objective in developing OR-SAGE was to use industry-accepted approaches and/or develop appropriate criteria for screening sites and employ an array of Geographic Information Systems (GIS) data ...

Google DeepMind has introduced AlphaEarth Foundations, an artificial intelligence model designed to integrate massive volumes ...

The article assesses urban expansion using remotely sensed data and the Shannon entropy model in GIS.

GIS and remote sensing have emerged as distinct spatial data handling technologies with their own methods of data representation and analysis. Combining them as tools to support vegetation analysis ...