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Scripts for processing animal location data and for analyzing habitat selection in a path selection framework.

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Calving Season Habitat Preferences of Moose in Southwest Alaska

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

Prerequisites

  1. ArcGIS Pro 2.5.2+
    1. Python 3.6.9+
  2. R 4.0.0+
    1. adehabitatLT 0.3.25+
    2. ctmm 0.5.10+
    3. lubridate 1.7.8+
    4. move 4.0.0+
    5. plyr 1.8.6+
    6. raster 3.1.5+
    7. rgdal 1.4.8+
    8. readxl 1.3.1+
    9. sf 0.9.3+
    10. tidyverse 1.3.0+
    11. tlocoh 1.40.7+
    12. zoo 1.8.8+
  3. R Studio 1.3.9+

Credits

Authors

  • Amanda Droghini - Alaska Center for Conservation Science, University of Alaska Anchorage
  • Timm W. Nawrocki - Alaska Center for Conservation Science, University of Alaska Anchorage

Usage Requirements

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

Citations

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

License

This project is provided under the GNU General Public License v3.0. It is free to use and modify in part or in whole.

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Scripts for processing animal location data and for analyzing habitat selection in a path selection framework.

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