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It is entirely valid, but it may not produce the results you expect in any Cartesian coordinate space. So it isn't a problem with degrees or WGS84, but rather the mapping from the ellipsoid to a plane. If the polygon is very large, the mapping of the curved surface on the ellipsoid to the plane can produce some artifacts where a point looks like it would be ...


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Near is not your friend in this case: It alters the point features by adding NEAR_FID and NEAR_DIST to their table and optionally other fields. You are right, a point can only be 'near' one polygon. What you really want is Generate Near Table with a search_radius of 0 (or at least something very small) - a point on a line mathematically is very difficult ...


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Intersect points and polygons (ArcGIS) - output type - point. For points exactly on the shared boundary of 2 polygons this will result in 2 points


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For ArcGIS I would suggest using a python script for this. The general code flow would go something like: Make feature layer of point layer Create count field for polygon layer Define update cursor on polygon layer Loop through each feature and use select layer by location method Use get count method to get the number of selected point features Write ...


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All but one of the point in polygon libraries / routines that I've found fail on a polygon that includes the date line. The all seem to use ray casting or other algorithms that wrap the wrong way or just simply don't work. I believe that the routine in OGR works properly but it's somewhat complex to implement. ...


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Here's an arcpy solution. Run it within the ArcMap Python window. You need to change the three variables at the top (counties, hospitals, and field) to match your data. The output is an in-memory copy of the counties layer called Counties_output with all the fields from the hospital layer joined to it for the maximum value. If there are multiple occurrences ...


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Note: Edited answer based on additional info provided by OP Try the following: 1) Combine the county and hospitals datasets, either via a spatial join or with identify (I personally prefer identify so I have a new layer to work with, but either should work). This should give you a single point dataset with all your hospital info, but with the addition of ...



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