knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "README-" )
Methods for performing time geographic home range analysis as described in the papers:
Long, J.A. (2018) Modelling movement probabilities within heterogeneous spatial fields. Journal of Spatial Information Science. Accepted: 2017-12-18.
Long, J.A., Webb, S.L., Nelson, T.A., Gee, K. (2015) Mapping areas of spatial-temporal overlap from wildlife telemetry data. Movement Ecology. 3:38.
Long, J.A., Nelson, T.A. (2015) Home range and habitat analysis using dynamic time geography. Journal of Wildlife Management. 79(3): 481-490.
Nelson, T.A., Long, J.A., Laberee, K., Stewart, B.P. (2015) A time geographic approach for delineating areas of sustained wildlife use. Annals of GIS. 21(1): 81-90.
Long, J.A., Nelson, T.A. (2012) Time geography and wildlife home range delineation. Journal of Wildlife Management. 76(2): 407-413.
devtools::install_github("jedalong/wildlifeTG")
Calculate a quick PPA home range and compare with points:
library(wildlifeTG) data(m3) #Caribou tracking data #PPA home range hr1 <- dynppa(m3) hr2 <- dynppa(m3,method='vanderWatt') plot(hr1) plot(hr2,border='blue',add=T) library(adehabitatLT) points(ld(m3)$x,ld(m3)$y) #plot(spt,add=T,col='red')
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