A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement.
By Bart Kranstauber, R. Kays, S. LaPoint, Martin Wikelski, Kamran Safi. Journal of Animal Ecology, 2012
484 citations recorded by the source corpus.
Subfields: Ecology, Ecology, Evolution, Behavior and Systematics
View Paper: https://www.semanticscholar.org/paper/9c87e2fc0e332378f5e457932b8c19b6131da9b5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Walter Jetz
- Margaret C. Crofoot
- Martin Wikelski
- R. Kays
- Andrew M. Allen
- Myron Zalucki
- Navinder J. Singh
- J. Morrone
In Ecology, Evolution, Behavior and Systematics
- R. Kays
- Myron Zalucki
- Tyler J. Grant
- Margaret C. Crofoot
- Martin Wikelski
- S. Bradbury
- Hazel R. Parry
- Walter Jetz
Citations in the corpus
- Predicting monarch butterfly (Danaus plexippus) movement and egg-laying with a spatially-explicit agent-based model: The role of monarch perceptual range and spatial memory (2018, methodology): “We calculated the area of the utilization distribution for each monarch agent with a dynamic Brownian bridge movement model (Kranstauber et al., 2012) using the R package move (Kranstauber and Smolla, 2013).”
- Terrestrial animal tracking as an eye on life and planet (2015, methodology): “Given the growth in amount and detail of tracking and remote-sensing data, combinedwith advances in analysis methods and tools supporting species distribution modeling (75) and addressing data nonindependence in habitat analysis (76, 77), we expect to see a future with more integrative modeling of a”
- Linking Movement Ecology with Wildlife Management and Conservation (2016, methodology): “In addition, quantitative methods for analysing movements have progressed rapidly with time (Patterson et al., 2008; Kranstauber et al., 2012; Fleming et al., 2015).”