The ADB–Cornell study finds that machine learning poverty maps often misfire, overestimating welfare in poor, rural, ...

LatchBio releases a 25M cell atlas for spatial transcriptomics, covering 45 tissue types, 63 diseases and 11 spatial ...

Montserrat Fuentes, Brian Reich, Gyuwon Lee, Spatial-Temporal Mesoscale Modeling of Rainfall Intensity Using Gage and Radar Data, The Annals of Applied Statistics, Vol. 2, No. 4 (Dec., 2008), pp. 1148 ...

IBM recently announced its watsonx.ai geospatial foundation model for Earth observation is now available on Hugging Face, the popular open source machine learning platform and community. The HLS ...

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 ...

Spatial data has become increasingly available to businesses and government bodies alike, and there is much more that can be done to leverage its power.

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 ...

Master of Science in Applied Geospatial Analytics Purdue University’s 100% online Master's in Applied Geospatial Analytics program combines a world-class graduate degree in geospatial analysis with ...

The degree, which concentrates on the collection and analysis of real-time spatial data, modeling and cartography, emphasizes the intersection of geographic data with environmental- and human ...