Spatial data describe the locations, shapes and attributes of real‐world features in two or three dimensions. They may be represented as discrete objects—points, lines and polygons—or as continuous ...

Spatial transcriptomics data analysis increasingly depends on artificial intelligence (AI) to convert raw, location-tagged gene expression readings into a usable map of tissue biology. Unlike ...

Don Murray is cofounder of Safe Software and has spent his career helping organizations bring life to data to make better decisions. The world we live in is spatial. Think about how many times you use ...

In our data-rich world, here’s the most fascinating aspect of spatial analysis: The more complex the problem, the more multi-layered it is, the more powerful spatial analysis is. Understanding and ...

Spatial data – a record of physical or virtual data – is important to a variety of industries, yet a gap remains between collecting the raw data and gaining AI insights from it. I recently had the ...

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 ...

Geospatial engineering combines principles of engineering, geography, and surveying to collect, analyze, and manage spatial data. Geospatial engineering involves surveying. Over time, the field of ...

The Dutch startup is turning billions of smartphones into a crowdsourced, privacy-first mapping network, providing ...

A map can turn a flat table of coordinates into something you can read in seconds, and that is the real value of geospatial data visualization tools. They help you convert geographic data and ...