Mapping areas of asynchronous‐temporal interaction in animal‐telemetry data

[1]  Ross Purves,et al.  How fast is a cow? Cross‐Scale Analysis of Movement Data , 2011, Trans. GIS.

[2]  B. Pond,et al.  Differential impacts of vaccination on wildlife disease spread during epizootic and enzootic phases , 2019, Journal of Applied Ecology.

[3]  T. Nelson,et al.  Time geography and wildlife home range delineation , 2012 .

[4]  Gordon B. Stenhouse,et al.  Grizzly bear associations along the eastern slopes of Alberta , 2005 .

[5]  Jiawei Han,et al.  The environmental-data automated track annotation (Env-DATA) system: linking animal tracks with environmental data , 2013, Movement Ecology.

[6]  D. Lamb,et al.  Quantifying spatio-temporal interactions of animals using probabilistic space–time prisms , 2014 .

[7]  Christopher D. Chambers,et al.  Redefine statistical significance , 2017, Nature Human Behaviour.

[8]  Justin M. J. Travis,et al.  The evolution of an ‘intelligent’ dispersal strategy: biased, correlated random walks in patchy landscapes , 2009 .

[9]  H. Prins.  BUFFALO HERD STRUCTURE AND ITS REPERCUSSIONS FOR CONDITION OF INDIVIDUAL AFRICAN BUFFALO COWS , 2010 .

[10]  P. Brotherton,et al.  Genetic and behavioural evidence of monogamy in a mammal, Kirk's dik–dik (;Madoqua kirkii) , 1997, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[11]  Jennifer A. Miller,et al.  Using Spatially Explicit Simulated Data to Analyze Animal Interactions: A Case Study with Brown Hyenas in Northern Botswana , 2012, Trans. GIS.

[12]  Marcus Vinícius Vieira,et al.  Support diameter, incline, and vertical movements of four didelphid marsupials in the Atlantic forest of Brazil , 2002 .

[13]  J. Koprowski,et al.  Should we consider individual behavior differences in applied wildlife conservation studies , 2017 .

[14]  Jason K Blackburn,et al.  Incorporating retrospective clustering into a prospective Cusum methodology for anthrax: evaluating the effects of disease expectation. , 2011, Spatial and spatio-temporal epidemiology.

[15]  Trisalyn A Nelson,et al.  Mapping areas of spatial-temporal overlap from wildlife tracking data , 2015, Movement ecology.

[16]  G. Cumming,et al.  The New Statistics , 2014, Psychological science.

[17]  Jane Hunter,et al.  Creating a behavioural classification module for acceleration data: using a captive surrogate for difficult to observe species , 2013, Journal of Experimental Biology.

[18]  P. Kareiva,et al.  Analyzing insect movement as a correlated random walk , 1983, Oecologia.

[19]  Michael J. Lavelle,et al.  Modelling multi‐species and multi‐mode contact networks: Implications for persistence of bovine tuberculosis at the wildlife–livestock interface , 2019, Journal of Applied Ecology.

[20]  H. Prins,et al.  Ecology and Behaviour of the African Buffalo , 1996, Chapman & Hall Wildlife Ecology and Behaviour Series.

[21]  Jed A. Long,et al.  Quantifying Spatial-temporal Interactions from Wildlife Tracking Data: Issues of Space, Time, and Statistical Significance , 2015 .

[22]  Wayne M. Getz,et al.  LoCoH: Nonparameteric Kernel Methods for Constructing Home Ranges and Utilization Distributions , 2007, PloS one.

[23]  Tijs Neutens,et al.  The Social Interaction Potential of Metropolitan Regions: A Time-Geographic Measurement Approach Using Joint Accessibility , 2013 .

[24]  B. Hirsch,et al.  Raccoon Social Networks and the Potential for Disease Transmission , 2013, PloS one.

[25]  Amy L. Murphy,et al.  Geo-referenced proximity detection of wildlife with WildScope: design and characterization , 2015, IPSN.

[26]  H. Miller.  A MEASUREMENT THEORY FOR TIME GEOGRAPHY , 2005 .

[27]  Ran Nathan,et al.  Using tri-axial acceleration data to identify behavioral modes of free-ranging animals: general concepts and tools illustrated for griffon vultures , 2012, Journal of Experimental Biology.

[28]  Trisalyn A. Nelson,et al.  Measuring Dynamic Interaction in Movement Data , 2013, Trans. GIS.

[29]  Marc J. van Kreveld,et al.  Finding REMO - Detecting Relative Motion Patterns in Geospatial Lifelines , 2004, SDH.

[30]  Edward A. Codling,et al.  Random walk models in biology , 2008, Journal of The Royal Society Interface.

[31]  Christelle Vancutsem,et al.  GlobCover: ESA service for global land cover from MERIS , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[32]  P. Hudson,et al.  Inferring social structure and its drivers from refuge use in the desert tortoise, a relatively solitary species , 2015, Behavioral Ecology and Sociobiology.

[33]  Carl J. Walters,et al.  BEHAVIORALLY MEDIATED INDIRECT INTERACTIONS IN MARINE COMMUNITIES AND THEIR CONSERVATION IMPLICATIONS , 2003 .

[34]  Stéphanie Mahévas,et al.  Metrics for describing dyadic movement: a review , 2018, Movement ecology.

[35]  Dieter Pfoser,et al.  Capturing the Uncertainty of Moving-Object Representations , 1999, SSD.