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Per your clarifying comment on the question, if you do choose to go the buffer route (and note then that you may or may not have anywhere near the same number of B points averaged to get the value for each A - this does seem like a pretty significant factor in the analysis, if it's going to be count or distance based, but if you say it isn't crucial...), ...


This code will work in field calculator (Python) on numeric field def getAver(shp,n): fc=r'D:\Scratch\points2000.shp' lst=[] p=shp.lastpoint; x=p.X;y=p.Y with arcpy.da.SearchCursor(fc, ["Shape@","d2river"]) as cursor: for row in cursor: p2=row[0].lastPoint dX=x-p2.X; dY=y-p2.Y d=dX*dX+dY*dY lst.append([d,row[1]]) lst.sort() avr=[] ...


And your licensing level. The "Generate Near table" tool in the ArcGIS analysis toolbox sounds like the one you need but this is "advanced" level. These tools also specify a maximum distance around which to search for near features, rather than a number of near features. If you specify no distance, all features will be compared. Bear in mind that this will ...


For readers: Please find a complete answer to this question cross-posted on the Stats forum.


It seems like your data has some topological issues (like overlapping polygons, multi or micro polygons inside the largest one). I tried to do it with the original data in QGIS and it had the same result, so I ran a v.clean on a data subset (because original datasets are too large for testing purposes) and using this topology cleaned layer the intersection ...


Intersect 2 layers Add field [Times] and calculate it using 2ndNumeric*ShapeArea Summarise field [Times] and [ShapeArea] using first layer UniquPolygonId Divide [Sum_Times] by [Sum_Area], this will give you weighted second layer numeric Transfer result to 1st polygon table and check the correlation between 2 columns, i.e. 1st numeric and weighted one


I suggest (as Vince) to put the center of your custom projection in the middle of the study area at 168 W 59 N. The following projections might give best results: +proj=laea +lat_0=59 +lon_0=-168 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs +proj=aea +lat_1=53 +lat_2=65 +lat_0=59 +lon_0=-168 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs +proj=tmerc ...


Point Distance tool will give you distance from one point to all points in a given search radius. Then you can use the output to see concentreated areas with certain visualization tools such as "Quantities" or cut-off some points by using definition query. If you have a network graph then you can use OD Cost Matrix tool.


Have you tried this tool: Standard Distance? !

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