Data from: A comprehensive analysis of autocorrelation and bias in home range estimation

负责人：

Noonan, Michael J.

关键词：

GPS

DOI：

doi:10.5061/dryad.v5051j2

摘要：

array of home range estimators, including Kernel Density Estimation (KDE) with four bandwidth optimizers (Gaussian reference function, autocorrelated

Data from: Correcting for missing and irregular data in home-range estimation

负责人：

University Of Konstanz

关键词：

animal movement animal tracking autocorrelation home range Indonesia irregular sampling kernel density estimation Komodo National Park Manta Manta alfredi

DOI：

doi:10.5441/001/1.3gj67c2k

摘要：

on improves the accuracy of home-range estimates: with marine data, where the sampling schedule is highly irregular, with duty cycled data, where the sampling

Reef manta Komodo Indonesia-reference-data

负责人：

University Of Konstanz

关键词：

animal movement animal tracking autocorrelation home range Indonesia irregular sampling kernel density estimation Komodo National Park Manta Manta alfredi

DOI：

doi:10.5441/001/1.3gj67c2k/2

摘要：

on improves the accuracy of home-range estimates: with marine data, where the sampling schedule is highly irregular, with duty cycled data, where the sampling

Reef manta Komodo Indonesia

负责人：

University Of Konstanz

关键词：

animal movement animal tracking autocorrelation home range Indonesia irregular sampling kernel density estimation Komodo National Park Manta Manta alfredi

DOI：

doi:10.5441/001/1.3gj67c2k/1

摘要：

on improves the accuracy of home-range estimates: with marine data, where the sampling schedule is highly irregular, with duty cycled data, where the sampling

Data from: Nonparameteric kernel methods for constructing home ranges and utilization distributions

负责人：

University Of Konstanz

关键词：

African buffalo animal movement animal tracking autocorrelated kernel density estimation home range Kruger National Park movement modeling Syncerus caffer utilization distribution

DOI：

doi:10.5441/001/1.j900f88t

摘要：

in the Kruger National Park, South Africa. Our results demonstrate that LoCoH methods are superior to parametric kernel methods in estimating areas used by animals, excluding

Kruger African Buffalo, GPS tracking, South Africa-reference-data

负责人：

University Of Konstanz

关键词：

African buffalo animal movement animal tracking autocorrelated kernel density estimation home range Kruger National Park movement modeling Syncerus caffer utilization distribution

DOI：

doi:10.5441/001/1.j900f88t/2

摘要：

in the Kruger National Park, South Africa. Our results demonstrate that LoCoH methods are superior to parametric kernel methods in estimating areas used by animals, excluding