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Spatial Data Science Simplified
Latest   Machine Learning

Spatial Data Science Simplified

Last Updated on July 24, 2023 by Editorial Team

Author(s): Brenda Hali

Originally published on Towards AI.

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For decades, geographers, geologists, researchers, and analysts from a wide variety of fields have been using location as an essential part of their analysis. But now we are experiencing how more and more data scientists with other non-traditional backgrounds for space data (like marketing) are starting to understand how to use location and integrate it when building a great model.

A significant differentiator of spatial data science is that data scientists are not just using traditional modeling methods and applying them to data that happens to be spatial. Now we are using… Read the full blog for free on Medium.

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Published via Towards AI

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