From Pixels to Patterns: AI in Spatial Analysis
The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography
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How to Predict the Most Probabilistic Result in Geospatial Data
In a previous conversation, you gave this fantastic example about using a classifier to separate dogs from wolves. And I want to head off in this direction and think about how we're going to use this to find patterns in geospatial data. But my understanding is that these models are amazing, but they're only as good as the data we put in them. Would you mind walking us through this example, please? Of course.
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