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CONSCAPE GROUPS LLC

we need to install the library. This step can be ignored in the afterwards · and usually would start · after the library is installed. # path to files # Pkg.activate(joinpath(ENV["HOMEPATH"] · ".julia" · "packages" · "ConScape" · "spkWs" · "data")) # set folders datadir = joinpath ( ENV [ "HOMEPATH" ] · "data" ) outdir = joinpath ( ENV [ "TMP" ] · "figures" ) # created the output folder · the function readasc() : # read habitat quality raster hab_qual · meta_q = ConScape. readasc ( joinpath (datadir · "hab_qual_1000.asc" )) # read movemement probability raster mov_prob · meta_p = ConScape. readasc ( joinpath (datadir · "mov_prob_1000.asc" )) ([NaN NaN … NaN NaN · NaN NaN … NaN NaN · NaN NaN … NaN NaN] · Dict{Any · Any}("cellsize" =&gt · 1000.0

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we need to install the library. This step can be ignored in the afterwards
and usually would start
after the library is installed. # path to files # Pkg.activate(joinpath(ENV["HOMEPATH"]
".julia"
"packages"
"ConScape"
"spkWs"
"data")) # set folders datadir = joinpath ( ENV [ "HOMEPATH" ]
"data" ) outdir = joinpath ( ENV [ "TMP" ]
"figures" ) # created the output folder
the function readasc() : # read habitat quality raster hab_qual
meta_q = ConScape. readasc ( joinpath (datadir
"hab_qual_1000.asc" )) # read movemement probability raster mov_prob
meta_p = ConScape. readasc ( joinpath (datadir
"mov_prob_1000.asc" )) ([NaN NaN … NaN NaN
NaN NaN … NaN NaN
NaN NaN … NaN NaN]
Dict{Any
Any}("cellsize" =&gt
1000.0

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1: Data import and grid creation Import data Create a Grid object Step 2: GridRSP creation Computation of habitat functionality Computation of movement flow Summary Getting started Here you will learn The basics of ConScape: importing data, running basic analyses, and exporting resulting maps. This tutorial is very similar to the notebook in Appendix A from van Moorter et al. (2022). For a broad overview of the ConScape library, please refer to van Moorter et al. (2022). In this first

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