Spatial data generalisation is a critical process in cartography and geographic information science, enabling the simplification of complex geospatial datasets while retaining essential structural and ...

This includes theoretical and applied projects in sensing systems and the location, measurement, analysis and description of ground features and earth resources. It also includes use of geographic ...

Jeremy Goecks (left) is the Assistant Center Director for Research Informatics at the Moffitt Cancer Center (FL, USA), where he is also an Associate Faculty Member in the Department of Machine ...

Awuh, M. (2026) Spatial Clustering Patterns of Thermal Extremes over Epochs in Douala, Littoral Region of Cameroon.

GIS technology greatly enhances trade area analysis by enabling extraction, aggregation, and visualization of demographic and spatial data. Analysts can combine spatial layers with customer data to ...

The journal Geo-Spatial Information Science will soon release a special issue showcasing the mid-term achievements of the China-Europe Earth Observation project, “Dragon 5.” Launched in July 2020, the ...

Given the current state of practice and visions for the future (including AI), certain practices should be reevaluated. This ...

This press release announces a new geospatial initiative aimed at improving how organizations integrate diverse spatial datasets and apply advanced mapping solutions. The effort responds to rising ...

Purdue University’s 100% online Master's in Applied Geospatial Analytics program combines a world-class graduate degree in geospatial analysis with the convenience of online coursework. You will gain ...

Testing of data provided by the Second Pipeline Construction Co. of China National Petroleum Corp. (PetroChina Pipeline) shows that using a 3D pipeline spatial-data model (PSDM) not only can further ...