viewshed3d: An r package for quantifying 3D visibility using terrestrial lidar data

被引：23
|
作者：
Lecigne, Bastien [1 ,2 ]
Eitel, Jan U. H. [3 ,4 ]
Rachlow, Janet L. [5 ]
机构：
[1] Univ Quebec Montreal, Dept Biol Sci, Ctr Forest Res CEF, Montreal, PQ, Canada
[2] Univ Quebec Montreal, NSERC Hydroquebec Chair Tree Growth Control, Montreal, PQ, Canada
[3] Univ Idaho, Dept Nat Resources & Soc, Moscow, ID 83843 USA
[4] Univ Idaho, McCall Outdoor Sci Sch, Coll Nat Resources, Mccall, ID USA
[5] Univ Idaho, Dept Fish & Wildlife Sci, Moscow, ID 83843 USA
来源：
METHODS IN ECOLOGY AND EVOLUTION | 2020年 / 11卷 / 06期
基金：
美国食品与农业研究所;
关键词：
animal behaviour; concealment; habitat structure; lidar data; predation risk; terrestrial laser scanner; viewshed; voxel; VIGILANCE; ECOLOGY; RISK;
D O I：
10.1111/2041-210X.13385
中图分类号：
Q14 [生态学（生物生态学）];
学科分类号：
071012 ; 0713 ;
摘要：
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'.
引用
收藏
页码：733 / 738
页数：6
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