Modified home range kernel density estimators that take environmental interactions into account
Volume: 7, Issue: 1
Published: May 21, 2019
Abstract
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 advocated, first, data-thinning procedures, and more recently, autocorrelated kernel density estimation (AKDE). These yield asymptotically consistent, but very smoothed...
Paper Details
Title
Modified home range kernel density estimators that take environmental interactions into account
Published Date
May 21, 2019
Volume
7
Issue
1
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