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3

I am afraid that you will need to create 79 distance rasters with the distance for each point. This can be done in model builder (with iterate features) or with python (loop on the ID with make feature layers). Once you have your 79 rasters, you can use "extract multi values to points" that will yield a origin-destination cost matrix in your attribute ...


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Figured this out. Depending on how you do your LCPA you just have to reverse the new values in the reclassify tool.


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I tried out the r.drain algorithm in my QGIS (version 2.12, GRASS 6.4) with the raster dem and point (in blue) of below image. After running the r.drain grass module with successfully finish. I copied and pasted the complete r.drain command at the GRASS shell; with another name for the output raster. r.drain input=utah_demUTM2@javier output=out_raster ...


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I'm not 100% clear on whether you need straight line distance accounting for elevation change along the way or if you want to allow the least-cost path to vary from a straight line. For the latter Linkage Mapper or Thomas Etherington's Landscape Genetics Toolbox - http://arcscripts.esri.com/details.asp?dbid=16852 - are good options. I'm working on a tool ...


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You might consider this Arc extension: http://www.circuitscape.org/linkagemapper/ I've used it to successfully determine least-cost paths for wildlife between their vector polygon home ranges over a resistance-to-travel raster. Seems to me that your "up and down" topography might be a stand-in for resistance. If you decide to go with this solution, it ...



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