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, ...

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 ...

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 ...

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

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 ...

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 ...

Saint Louis University’s Bachelor of Science in Geoinformatics and Geospatial Analytics prepares graduates for geospatial careers around the globe. It combines theory and practice to train the ...

Computer analysis of geospatial data could be made more environmentally-friendly thanks to a groundbreaking new software model built by a team of scientists from a Scottish university. Researchers ...

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, ...

Spatial data is any type of data that directly or indirectly references a specific geographical area or location. It is most commonly processed and analyzed by geographical information systems (GISes) ...

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 ...