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 ...

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

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 ...

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 ...

The Spatial Analysis Lab (the SAL) is a mapping lab dedicated to thoughtful and creative spatial data collection, analysis, and visualization. We strive to promote spatial literacy and spatial justice ...

The initiatives described aim to strengthen the role of geospatial technologies within broader organizational strategies. Rather than operating as isolated systems, spatial tools are being designed to ...