Mapped information is most useful when it helps people answer practical questions, and geospatial science centers on exactly that. It brings together location-based data, a map-driven way of thinking, ...

What do environmental management, urban planning, public health and civil engineering all have in common? They use geospatial information science and technology to make important decisions. Geospatial ...

The 2024 Geospatial Education Trends Report presents a clear message: GIS education is transforming rapidly in response to technological convergence and labor market expectations. As spatial data ...

To meet growing global demand for food production driven by a rising population, farmers and other agriculturalists are turning to data science to drive the next agricultural revolution. Predictive ...

UMSL’s Geospatial Summer Camp gives 33 area high school students hands-on experience with GIS, drones, VR and career pathways ...

This Collection supports and amplifies research related to SDG 13 - Climate Action. This Scientific Reports Collection welcomes original research on Geospatial data science and analysis. Narrative ...

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 ...

Students in Saint Louis University's geoinformatics and geospatial analytics doctoral program study the science and technology dealing with the acquisition, storage, processing production, ...

Be a part of the climate solution using data and advanced technologies to inform decisions. Identify key patterns in temperature changes, water levels and species populations. Guide policy towards ...

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 ...

An emerging issue in the field of geospatial data science is the imbalance between the abundance of freely available big datasets and the limited number of professionals trained to leverage them, ...