Spatial co-location pattern mining is a sub-discipline of spatial data analysis that seeks to identify subsets of spatial features which frequently occur in close proximity. It aims to uncover the ...

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 transcriptomics provides a unique perspective on the genes that cells express and where those cells are located.

In a recent article published in the journal Mining, researchers presented a comprehensive approach to managing and assessing the risks associated with post-mining environments, particularly within ...

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 ...