Many analyses were available in previous versions, but Ranges8 allows much better graphical representation and easier export of graphics to MS Office applications as well as a few new analyses.
NewNeighbourLinkage Analysis
based on peripheral neighbour linkages that are less than an outlier-exclusive distance, which is computed from the distribution of density estimates for all locations.
NewLinear Analyses for confined animals, e.g. fish in a river, where distances depend on the habitat they must move through.
New Random Location Selector to quickly select from autocorrelated data, so that home range model assumptions can be met, and to sub-sample data for randomisation testing.
Non-parametric range analyses: convex, peeled, concave and neighbour-linkage including cluster polygons.
Parametric analyses: ellipses, kernels (adaptive, least squares cross-validation), harmonic mean.
Background maps, range overlays, enlargements, with colour and dot-dash coding during analyses.
Habitat in range outlines, at locations and in circles or ellipses round locations to give preference index estimates.
Habitat in map rectangles and circles (at animal locations or other points).
Static interaction analysis: range overlaps output as matrices & tables of overlap frequency.
Dynamic interactions: cohesion-avoidance index for same-time observations of neighbours.
Autocorrelation analysis, to optimise sampling intervals and study time-tabling.
Interfix measures: distances, headings, times and speeds; stochastic and absolute dispersal detection.
Up to 100 location-qualifying variables, automatic use of time and accuracy ellipse values in analyses.
Incremental Analysis of area-increase as fixes are added, to optimise sample size when tracking.
Utilization Plots for estimating range core sizes.
Cohesion-Avoidance indices for locations or sites
Filing of all analysis output as text suitable for statistics suites, spreadsheets and other packages.
Graphics output for drawing & other GIS packages.
New Neighbour Link analyses
A NEW home range model.
New Linear analyses
To make sense of animal movements in constricted habitats.
New Random sub-sampling
for selecting from autocorrelated data and to test collection sequence on models.
Incremental and Utilisation plots
To make your tracking
efficient.