Modified home range kernel density estimators that take environmental interactions into account

Modified home range kernel density estimators that take environmental interactions into account

Abstract Background Kernel density estimation (KDE) is a major tool in the movement ecologist toolbox that is used to delineate where geo-tracked animals spend their time. Because KDE bandwidth optimizers are sensitive to temporal autocorrelation, statistically-robust alternatives have been advocate...

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Bibliographic Details
Main Author: Guillaume Péron
Format: Article
Language:English
Published: BMC 2019-05-01
Series:Movement Ecology
Subjects:
Movement ecology
AKDE
Temporal autocorrelation
Step selection function
Resource selection
Point process pattern
Online Access:http://link.springer.com/article/10.1186/s40462-019-0161-9

Internet

http://link.springer.com/article/10.1186/s40462-019-0161-9

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