Installation
About
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.
Citation | eRTG3D citation info |
munterfi.github.io/eRTG3D/ | |
github.com/munterfi/eRTG3D/ | |
Bug report | File report |
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Yesterday | 8 0% |
Last 7 days | 39 -30% |
Last 30 days | 205 -26% |
Last 90 days | 794 +8% |
Last 365 days | 3.143 +13% |
Maintainer
Maintainer | Merlin Unterfinger |