Machine learning for inferring animal behavior from location and movement data

Movement ecology has rapidly advanced owing to recent developments of animal-attached devices and wide applications of sophisticated statistical and machine learning techniques in analysis of animal movement data. Global Positioning System (GPS) transmitters used for estimating animal locations and...

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Veröffentlicht in:	Ecological informatics Jg. 49; S. 69 - 76
1. Verfasser:	Wang, Guiming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2019
Schlagworte:	accelerometers animal behavior animals Bayesian theory Behavioral classification Computational ecology ecology environmental factors global positioning systems Hidden Markov model locomotion Markov chain Movement ecology State space model statistical analysis Supervised learning algorithm support vector machines Unsupervised learning algorithm ACC WINBUGS Movement ecology MCMC TMB GPS JAG Behavioral classification Hidden Markov model State space model Supervised learning algorithm Unsupervised learning algorithm Computational ecology CART
ISSN:	1574-9541
Online-Zugang:	Volltext
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