Geospatial Information Systems (GIS) have transformed the way we capture, store, and analyse spatial data by integrating methods from computer science, statistics and geography. Central to GIS is the ...

Agricultural spatial analysis and modelling integrate geospatial technologies, crop simulation techniques and statistical methodologies to illuminate the complex interactions within agricultural ...

The future of geospatial technology is unfolding at an unprecedented pace, reshaping how we understand the world around us. From urban planning and ...

Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the ...

Summary: Google’s Research division has introduced new geospatial AI foundation models. With these models integrated into Gemini 2.5, you can ask complex questions in natural language and get detailed ...

Location data is critical to nearly all state and local government work — whether it’s responding to a public safety call, supporting community planning and development, or maintaining critical ...

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 ...

Accurate assessment of soil salinity is critical for sustainable agriculture and food security, yet remains technically challenging at fine spatial scales.

Spatial computing is expanding from visualization to intelligent systems through AI, IoT, 5G, and cloud convergence. Key opportunities include enhanced real-time decision-making and automation in ...