Northern Prairie Wildlife Research Center
Examples include:
Antelope performs spatial statistics on data generated by mapping individuals in a population or from following a radio-tracked individual over time. It analyzes x,y data (not x,y,z) but accepts text files with additional columns which might be used to focus on subsets of the data.
Calhome allows the user to pick from many home range analysis methods: minimum convex polygon, bivariate normal, harmonic mean, and adaptive kernel.
Dixon uses a harmonic mean analysis as its method of finding the home range of an animal. It requires a math coprocessor.
HomeRange primarily for use in the analysis of spatial data in animal behavior. This program has modules adapted from the Antelope program.
Home Ranger calculates fixed or adaptive kernel home ranges of animals from radio-telemetry data. The program can also calculate standard error and bias in home range estimates by bootstrapping data and it can estimate effects of decretization (rounding) errors in telemetry data.
Kernelhr performs kernel based estimates of two dimensional (bivariate) data. It is specifically designed for home range and population/species range analysis, but works well for any two dimensional data. Users may select between output of density and utilization distribution, change the size of the smoothing parameter and grid, and output values at the observation or on a grid.
Ulysses a Mathematica implementation of home range estimation. Methods include adaptive kernel, tessellation, and minimum convex polygon (MCP).
Wildtrak developed for the analysis of radio-tracking or other locational data for Macintosh computers. This program has many features including polygon and grid cell analyses for data description, a means to analyze both speed and distance of movement, and the analysis of interactions between animals. (For more Wildtrak info see also http://www.geocities.com/RainForest/3722/).
Home Range Software: Antelope, Calhome, Dixon, Homer, Kernelhr, Mcpaal, Wildtrak, Ranges V
BROWNIE computes survival estimates from banding (ringing) recovery data from young and adult animals.
Program MARK, a Windows 95, 98, or NT program, provides parameter estimates from marked animals when they are re-encountered at a later time. Re-encounters can be from dead recoveries (e.g., the animal is harvested), live recaptures (e.g. the animal is re-trapped or re-sighted), radio tracking, or from some combination of these sources of re-encounters.
CAPTURE computes tests to select a model from 11 possible models, and then the population estimate for capture-recapture data on closed populations.
DISTANCE provides an analysis of distance sampling data to estimate density and abundance of a population.
NOREMARK computes estimates of population size for a population with a known number of marked animals and 1 or more resighting occasions. Four different estimators are provided: joint hypergeometric maximum likelihood, immigration/emigration joint maximum likelihood, Minta-Mangel bootstrap procedure, and Bowden's estimator. Simulation procedures for determining estimator performance and necessary sample sizes are also provided.
RELEASE computes survival estimates and goodness-of-fit tests for a large class of survival experiments based on capture-recapture of marked populations. The general model is the Cormack-Jolly-Seber model for each experimental group (survival and capture probabilities different for each group), with a progression of submodels to the null model of the same survival and capture probabilities for all groups.
SURVIV is a FORTRAN code to compute survival estimates from general multinomial models. To run this program, you must have a FORTRAN compiler, because the model must be compiled into the SURVIV executable.
Population software: Bandops, Bandzip, Biotools, Brownie, Capture, Comm, Contrast, Estimate, Jolly, Jollyage, Populus, Release, Surge, Uindex4S
Radio-telemetry software: Triang.zip
Habitat usage software: MacComp, Biopak
For more information on specific radio-telemetry software programs see:
White, G. C., and R. A. Garrott. 1990. Analysis of wildlife radio-tracking data. Academic Press, San Diego, CA. 383 pp.