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 ...

It’s a busy day anywhere in the world. You roll out of bed and grab your smartphone. You check a news website or a weather app or look up directions to an appointment. Most people don’t think about it ...

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 analysis addresses the measurement, modelling and interpretation of phenomena that vary across geographic space. Central to this endeavour is the selection of areal units—the discrete ...

Local governments are sitting on a goldmine of spatial data, yet most plan review departments can’t easily access it when they need it most. While jurisdictions maintain extensive geographic ...

Geospatial Information Systems (GIS) provide the framework for capturing, storing, analysing and visualising spatially referenced data to reveal patterns, relationships and trends in geographic ...

The Spatial Analysis Lab (the SAL) is a mapping lab dedicated to thoughtful and creative spatial data collection, analysis, and visualization. We strive to promote spatial literacy and spatial justice ...

Our nation must continually address a wide range of complex economic, social, and environmental issues. Geospatial information, together with related computer systems, is pivotal to helping ...

COLORADO SPRINGS, Colo.--(BUSINESS WIRE)--The Sanborn Map Company joined national geospatial leaders to discuss roles, responsibilities, and opportunities to advance the National Spatial Data ...

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, ...

This article is authored by Agendra Kumar, managing director, Esri India.