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 ...

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

SAS/GIS spatial data must obey the following rules in order for the topology to be correct. These rules are similar to the rules for TIGER/Line files from the U.S. Bureau of the Census.

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 ...

Satellite imagery promises to play an essential role in creating digital twins that could help model carbon emissions, increase farming yields and monitor the oceans.

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 ...

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 ...