Scripts for processing GPS telemetry data and analyzing properties of movement and space use of migratory and resident moose.
This project is a collaboration between the Alaska Center for Conservation Science and the Alaska Department of Fish and Game.
Authors: Amanda Droghini, Timm W. Nawrocki, Alaska Center for Conservation Science, University of Alaska Anchorage
Last updated: 2021-04-29
- ArcGIS Pro 2.5.2+
- Python 3.6.9+
- R 4.0.0+
- adehabitatLT 0.3.25+
- ctmm 0.5.10+
- lubridate 1.7.8+
- move 4.0.0+
- plyr 1.8.6+
- raster 3.1.5+
- rgdal 1.4.8+
- readxl 1.3.1+
- sf 0.9.3+
- tidyverse 1.3.0+
- tlocoh 1.40.7+
- zoo 1.8.8+
- R Studio 1.3.9+
- Amanda Droghini - Alaska Center for Conservation Science, University of Alaska Anchorage
- Timm W. Nawrocki - Alaska Center for Conservation Science, University of Alaska Anchorage
Use of the scripts included in this repository should be cited as follows:
Droghini, A., and T.W. Nawrocki. 2021. Space Use and Movement Patterns of Moose in Southwest Alaska. Git Repository. Available: https://github.com/accs-uaa/southwest-alaska-moose
Evans J.S., J. Oakleaf, S. A. Cushman. 2014. An ArcGIS Toolbox for Surface Gradient and Geomorphometric Modeling, version 2.0-0. Available: https://github.com/jeffreyevans/GradientMetrics
Nawrocki, T.W. 2020. Beringian Vegetation. Git Repository. Available: https://github.com/accs-uaa/beringian-vegetation
This project is provided under the GNU General Public License v3.0. It is free to use and modify in part or in whole.