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buffer exclude points within distance range based on error testing. Your probably not looking for a merge but an exclusion based on factors such as position, date accuracy, goodness of data sets. Then you can compare and contrast and compare cleaned data, do checking through research to establish baseline for goodness improvement, run secondary process ...


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In ModelBuilder, you use Iterate Feature Classes to loop through the shapefiles, then use Collect Values to send the iterator values to Merge. It will look like this:


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It would be easier with arcpy. for i in range(10000): pol_list = [] for j in range(30): pol_list.append("a" + str(i*30 + j + 1) + ".shp") arcpy.Merge_management(pol_list, "b" + str(i+1) + ".shp") EDIT: for a feature class inside a geodatabase, you don't need the + ".shp" anymore, and you can define the workspace using : ...


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Other than "first one encountered" I am not sure what criteria one would use to select a point to retain. It seems quite arbitrary and a point may share multiple neighbors with your distance criteria but would not be retained if not in the correct selection order. This could add serious bias to your mean. It seems that you should calculate your neighbor ...


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You implicitly CROSS JOINed the tables so you got a cartesian product. Since you don't want to merge the geometries together you should use the UNION ALL which is an entirely different construct: SELECT a.geom FROM the_network a UNION ALL SELECT b.geom FROM buildings_to_network_lines_table b Now that you have a correct SELECT query you can use it in ...



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