
From Pixels to Patterns: AI in Spatial Analysis
The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
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The Importance of Explainability in Geospatial Data
We've been talking about this in terms of images, dogs and wolves and images, using a classifier to separate those two. Doesn't this become a very real problem also when we move over to the kinds of structured spatial data that force where it is collecting? And so there's a interesting parallel or perhaps even a metaphor of an image and a map. We could go down that path. But even without the obvious correspondence of images and maps, if you were to imagine that individual, there's a person who either moved or stopped at or is stationary at a particular location on the planet,. That can be represented by the latitude and longitude. Now, if you take those three components,
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