chiMaps

stack1

<code>rasterStack</code> <code>NULL</code> or containing the same number of <code>rasterLayer</code>s and has euqal extent and resolution.

stack2

logical: print currently processed height band in raster stack?

verbose

Calculates the chi maps for one <code>rasterStack</code> or all raster all the raster pairs stored in two <code>rasterStack</code>s.
As observed values, the first stack is used. The expected value is either set to the mean of the first stack, or if given
to be the values of the second stack.

Creates realistic random trajectories in a 3-D space between two given fix points, so-called conditional empirical random walks (CERWs). The trajectory generation is based on empirical distribution functions extracted from observed trajectories (training data) and thus reflects the geometrical movement characteristics of the mover. A digital elevation model (DEM), representing the Earth's surface, and a background layer of probabilities (e.g. food sources, uplift potential, waterbodies, etc.) can be used to influence the trajectories.
Unterfinger M (2018). "3-D Trajectory Simulation in Movement Ecology: Conditional Empirical Random Walk". Master's thesis, University of Zurich. <https://www.geo.uzh.ch/dam/jcr:6194e41e-055c-4635-9807-53c5a54a3be7/MasterThesis_Unterfinger_2018.pdf>.
Technitis G, Weibel R, Kranstauber B, Safi K (2016). "An algorithm for empirically informed random trajectory generation between two endpoints". GIScience 2016: Ninth International Conference on Geographic Information Science, 9, online. <doi:10.5167/uzh-130652>.

chiMaps: Chi maps of two variables

Description

Usage

Arguments

Value

Examples