Network-Based Home Range Analysis Using Delaunay Triangulation
Document Type
Conference Proceeding
Publication Date
2007
Digital Object Identifier (DOI)
https://doi.org/10.1109/ISVD.2007.31
Abstract
The home range is the fundamental measurement of fish and wildlife space-use patterns. Kernel density estimation (KDE) is the most widely applied home range estimator, although its poor performance has recently been documented. In this paper, we suggest that KDE is inappropriate for home range estimation, because it assumes Euclidean-based space usage. Because animal space-use patterns show characteristics of network-based movement, we develop a network-based home range estimator. First, we use Delaunay triangulation (DT) to approximate a network of travel paths from a set of animal point locations. Then, we adapt KDE to estimate home ranges as a function of that network. Preliminary results suggest that network-based home range estimation using DT has the potential to improve the way ecologists measure animal space-use patterns.
Was this content written or created while at USF?
No
Citation / Publisher Attribution
4th International Symposium on Voronoi Diagrams in Science and Engineering (ISVD 2007), Glamorgan, p. 255-259
Scholar Commons Citation
Downs, Joni A. and Horner, Mark, "Network-Based Home Range Analysis Using Delaunay Triangulation" (2007). School of Geosciences Faculty and Staff Publications. 1468.
https://digitalcommons.usf.edu/geo_facpub/1468
