CODEWITHSUNDEEP
pythonrarcgis
Southard
Southard

Reputation: 57

Predict values based on vegetation layer

I have point data from deer surveys and would like to predict values for areas not surveyed based on vegetation type (Grass, Disturbed, Oak, Pine, Mixed etc.)

So far I have dissolved my vegetation layer to combine adjacent polygons and used Spatial intersect Join to combine this layer with my point data. I'm now trying to predict values for polygons with Null values for the pop field (deer seen) and pop_avg field (pop/3 survey nights) based on vegetation type (text field). I'm not really sure what my next step should be if anyone has any suggestions.

EDIT: Would I need to do the prediction analysis in a program such as R or python to later bring back to map in ArcGIS?

Upvotes: 0

Views: 58

Answers (1)

Southard
Southard

Reputation: 57

I found out about the randomForest package and how it might be helpful to answer my question here: https://gis.stackexchange.com/questions/176195/predict-estimate-point-values-for-unsurveyed-areas-based-on-vegetation-type

From there I was finally able to come to a solution to my problem which I answered here: Predict/estimate values using randomForest in R

Upvotes: 0

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