Journal
METHODS IN ECOLOGY AND EVOLUTION
Volume 11, Issue 6, Pages 733-738Publisher
WILEY
DOI: 10.1111/2041-210X.13385
Keywords
animal behaviour; concealment; habitat structure; lidar data; predation risk; terrestrial laser scanner; viewshed; voxel
Categories
Funding
- U.S. Department of Agriculture [1018044]
- National Institute of Food and Agriculture [NNX15AT86A]
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Visual information affects animal behaviour and fitness in diverse ways, but a lack of suitable methods to quantify visibility in three-dimensional (3D) environments limits applications of the concept of visibility in ecological research. The viewshed3d r package is dedicated to quantifying the visual environment from a single location or from a cumulation of viewpoints based on 3D point clouds acquired with terrestrial laser scanning. We present the entire workflow required to prepare the data and perform the visibility analyses in viewshed3d. This approach can help unlock the potential contributions of viewshed analyses to the emerging subdiscipline of 'viewshed ecology'.
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