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I would create a Concave Hull (QGIS plugin) for the outer polygon. Calculate the distance from each point to the Outer polygon. Sort the Points by distance, deleting the smallest 20%. Generate a new Concave Hull around the remaining 80%.


Here is a reproducible example using sp internal dataset meuse since I don't have access to your shapefiles: r1 = cbind(c(180114, 180553, 181127, 181477, 181294, 181007, 180409, 180162, 180114), c(332349, 332057, 332342, 333250, 333558, 333676, 332618, 332413, 332349)) r2 = cbind(c(180042, 180545, 180553, ...


I like the answers given above, but if converting each grid cell to a polygon is too time consuming then point density may be the all-raster alternative.


Spatial Join your points to your polygons, use INTERSECT or WITHIN, no need to keep all the attributes just the OID of the polygon is what's needed on the joined points. Using summary statistics you can count the points.. use a summary field of FID or OBJECTID depending on what sort of data you have (shape or GDB), summary type of count and a case field of ...


Probably the easiest way to do this is with a Spatial Join. Provided you have a polygon layer as your grid as opposed to lines... There are a couple of ways to perform a spatial join in ArcGIS. If you use the Spatial Join tool, you can set your target features to the polygon layer. Then your join features are the points. You'll automatically get a new ...


If I understand correctly, your question is more about assigning a unique identifier to each cluster of points rather than an issue with doing the join. You can use the following methodology to assign a unique ID (that will work with model builder). In your buffer layer, add a field (like bufferID or groupID) of type LONG. Right click the new field and ...

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