Description Usage Arguments Details Value Author(s)
Reconstructing Empirical Pathes
1 2 3 4 5 6 7 |
df |
data frame, containing coordinates of path associated features |
sgdf |
SpatialGridDataFrame, same extent as area of interest |
x |
numeric, indicating column number of x coordinates |
y |
numeric, indicating column number of y coordinates |
path_par |
numeric vector, containing a set of modelling parameters: path_par[1] tresh = treshold, to delete phaths in areas with really low density values (KDE), meaning calculation artefacts path_par[2] f1 = factor defining the minimum border of dynamic kernel (raster width) f1*mean(nn) ## 0.2 path_par[3] f2 = factor defining the maximum border of dynamic kernel f2*mean(nn) path_par[4] f3 = minimal intensity of Kernel path_par[5] f4 = maximal intensity of Kernel path_par[6] s = Kernelparameter: incline starting from point 1 path_par[7] mwin = Moving-window-size for ridge detection (4,9,16) |
The 'repath' function will calculate density ridges out of the location from path associated features.
list, first object "KDE" is a raster object of Kernel Density Estimation, second object "ras_dens_ridges" coordinates of density ridges
Franziska Faupel <ffaupel@ufg.uni-kiel.de>
Oliver Nakoinz <oliver.nakoinz@ufg.uni-kiel.de>
Hendrik Raese <h.raese@roots.uni-kiel.de>
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