I need to create a polygon showing where my customers live (several million) for each of the locations of my stores (150)
Visually, it is very simple to see where they are:
The problem arises when I need to create a polygon in order to run some additional analysis down the road like demographics and such...
Any ideas? I tried running HotSpot Analysis, but it is very very slow even when doing it for only two stores and 100k customers as a trial...
cheerrs and thanks!
now to step it up with a graduated fill pattern... all the cool mappers are doing it
this will come quite handy for the resulting analysis. thanks!
Last, but not least...
how can I remove half of the overlapping area between 2 catchment areas we defined using the abobe process?
I tried Intersection but then I end up with only one area in the midlle...
The resulting polygons should not overlap...
check out the other Analysis, Overlay tools... probably Union would do, or update depending on what you want but you may have to split the result and fiddle with the parts in an edit session to join parts together if needed
Tried that already... I need the Inverse Union, or a scissor that cuts the overlapping area in 2 so I get 2 distinct areas that do not overlap.
Something like the Create Thiessen Polygons—Help | ArcGIS for Desktop but that works only for points...
Maybe the Split—Help | ArcGIS for Desktop may work, but I don't have a Split feature. The split feature would be half of the intersection between both catchment areas...
a quick edit would do it since your splitting feature isn't one of the polygon boundaries, but a polyline.
Dirty but it dos the trick. Super help, many thanks!
Now I need to do this for 100 locations
at least you have a plan, which you could automate in modelbuilder or python, but sometimes manual is faster based on my views seeing others implementating modelbuilder workflows for anything other than the simplest operations
indeed.
I might try ModelBuilder to create the polygons then delete overlapping areas manually
Cheers and thanks for the pointers!