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  • Uploaded on NR505 GIS Applications in Wildlife Sciences Mondays and Wednesdays 9:30 – 11:20 CNR GIS lab Room 26 Home Range Resource Selection Wildlife Habitat Models + Accuracy Assessment Fragmentation Analysis in Fragstats

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nr505 gis applications in wildlife sciences

NR505 GIS Applications in Wildlife Sciences

Mondays and Wednesdays 9:30 – 11:20

CNR GIS lab Room 26

Home Range

Resource Selection

Wildlife Habitat Models + Accuracy Assessment

Fragmentation Analysis in Fragstats

Distance Measurements and Least Cost Path Analysis

Functional Connectivity

Introductory Remote Sensing + separability testing

Grading: Attendance & Participation 60 %

Final Project Presentation 40%


Home Range and GIS

Eva Strand

CNR Remote Sensing and GIS Lab

what is home range
What is Home Range?

The description of an animals space use

The home range is believed to contain the essential requirements such as food, water and cover

Wildlife Techniques Manual

home range characteristics
Home range characteristics
  • Home ranges often overlap (as opposed to territories)
  • Home range size has been correlated to body size
  • Can help explain an animals biological patterns
  • Can help improve understanding of ecological relationships

Telemetry data or GPS collar

Tabular data in Excel (2003) .dbf or .txt format can be directly

imported to ArcGIS or ArcView


Home Range Methods

Minimum Convex Polygon

Harmonic Mean




Minimum Convex Polygon

Minimum Convex Polygon (MCP) is defined as the polygon drawn around the outermost points


Fixed kernel home range is currently recommended


The size of the kernel home range is sensitive

to the bandwidth value (h) used!

kernel density functions
Kernel Density Functions

n – number of locations

h – smoothing parameter

d – distance from the location x, y

a few assumptions
….a few assumptions
  • Locations are independent
  • Large enough sample size
  • Smoothing parameter (kernel estimators)
bandwidth h factor smoothing parameter
Bandwidth, h-factor, smoothing parameter
  • Least Squares Cross Validation (LSCV)
    • Currently recommended
    • Tendency to undersmooth, creates multiple local minima
    • High variability
  • Likelihood Cross Validation (CV)
    • Novel method (Horne and Garton 2006)
    • Performs better for smaller sample sizes (< 50)
    • Better fit and less variability
  • Normal or Reference method (href)
  • Scaled-REF (href is multiplied by a fixed proportion)

Gitzen et al. 2006

Horne and Garton 2006

home range spatial tools
Home Range Spatial Tools

Hawth’s Tools

Home Range Tool

Animal Movement

Likelihood Cross Validation Tool (Jon Horne)


Hawth’s Tools

ArcGIS extension

home range tool
Home Range Tool
  • Free download
  • Developed by Art Rodgers, Ontario
  • Extension to ArcGIS 9
  • Kernel Tool
  • MCP Tool
  • Display Travel
  • Calculate travel times
  • Great User’s Manual and Tutorial Guide!!
animal movement extension
AnimalMovement Extension
  • Will utilize any type of point data that can be brought into ArcView
  • Works in any projection*
  • Works on any selected subset of data*
  • Produces Coverages, Grids, or Tables i.e. all output is compatible with ArcView

*Except Gin= Gout2 G = Garbage

U.S. Department of Interior

U.S. Geological Survey

Alaska Biological Science Center

Glacier Bay Field Station

changes to arcview
Changes to ArcView




readings home range
Readings – home range
  • Bookhout TA (editor) 1994. Research and Mangement Techniques for Wildlife and Habitats pp.394-403, The Wildlife Society, Bethesda , Maryland .
  • Horne JS and EO Garton 2006. Likelihood cross-validation versus least squares cross-validation for choosing the smoothing parameter in kernel home-range analysis, Journal of Wildlife Management 70(3):641-648.
  • Gitzen RA, JJ Millspaugh, and BJ Kernohan, 2006. Bandwidth selection for fixed-kernel analysis of animal utilization distributions, Journal of Wildlife Management 70(5):1334-1344.
  • Home Range Tool User’s Manual