Figure 1.1

American White Pelican with locations spanning 5 UTM zones

Figure 1.2

Turkey vulture locations only occurring in one UTM zone

Figure 1.3

How to find coordinates system of GIS layer in ArcCatalog or Table of Contents in ArcMap

Figure 1.4

Study area projected into UTM Zone 12N with original WGS84 underneath

Figure 1.5

Mule deer locations projected into UTM Zone 12N (red) with original locations in WGS84 (black)

Figure 1.6

Overlay of mule deer locations with random locations generated in R

Figure 1.7

Imported raster dataset showing coastline and tributaries

Figure 1.8

Imported Digital Elevation Model using adehabitat package showing coastline and tributaries

Figure 1.9

Buffers around mule deer locations using the a) byid=FALSE (default) and b) byid=TRUE for the gBuffer function using package rgeos

Figure 2.1

Estimating probability of occupancy of Snowshoe hare across the current range in Pennsylvania, 2004

Figure 3.1

Example of a trajectory created using adehabitatLT for a mule deer in Colorado

Figure 3.2

Plot of a First Passage Time for a mule deer in Colorado identifying mean FPT by month

Figure 3.3

Summaries of distance and time (dt) between relocations for mule deer D16

Figure 3.4

Bursts of movements for mule deer D15 after creating segements based for focal use areas

Figure 4.1

Example of KDE with hplug-in smoothing parameter to estimate size of home range for an American White Pelican

Figure 4.2

Example of 95% BBMM home range for a Florida Panther

Figure 4.3

Example of 95% KDE home range with hplug-in for a Florida Panther

Figure 4.4

Example of 95% KDE home range with href for a Florida Panther

Figure 4.5

This figure shows how to summarize size of home range in ArcMap

Figure 4.6

Home range of one panther using BBMM showing all contours

Figure 4.7

Home range using BBMM for panther 110 with various time lags incorporated

Figure 4.8

Locations of one vulture in UTM 17N

Figure 4.9

Imported habitat layer in Albers Equal Area Conic Projection

Figure 4.10

Imported habitat layer projected to UTM Zone 17N similar to vulture locations

Figure 4.11

Overlay of ltraj on spixdf=habitat in UTM Zone 17N

Figure 4.12

Imported raster dataset showing coastline and tributaries

Figure 4.13

Movement paths of two Black Vultures with a similar extent

Figure 4.14

Red identifies ocean and tributaries not used by vultures

Figure 4.15

Contours of home range for 2 black vultures estimated using the Movement-based kernel density method (MKDE)

Figure 4.16

Contours of home range for a mule deer estimated using the dynamic Brownian Bridge Movement Model (dBBMM)

Figure 4.17

Example of CHP home range for 2 Florida panther

Figure 4.18

The LoCoH GUI

Figure 4.19

Example of 95% estimate of home range for a Florida Panther using LoCoH with Fixed K = 1,000

Figure 4.20

Example of 95% estimate of home range for a Florida Panther using LoCoH with Fixed R = 1,000

Figure 4.21

Example of 95% KDE estimate of home range for a Florida Panther using LoCoH with Adaptive = 1,000

Figure 4.22

Example of 95% KDE estimate of home range for a Florida Panther using LoCoH with Adaptive = 10,000

Figure 4.23

Example of 95% estimate of home range for mule deer using Minimum Convex Polygon

Figure 4.24

Example of 95% estimate of home range for mule deer using Minimum Convex Polygon with relocations overlayed

Figure 6.1

Example home range of a mule deer in 3D using KDE with a) href and b) hplug-in bandwidth selection

Figure 6.2

Example of a Digital Elevation Model in 3D using rasterVis package in R

Figure 8.1

Zooming in around mule deer locations using drawExtent in the raster package in R

Figure 8.2

Selection ratios for Florida panther for 6 habitat types (1-6) using Manly’s Selectivity Measure. Habitat type is on x-axis and selectivity measure is on y-axis for a) all panthers and b) each panther

Figure 9.1

Adjacency matrix created in ArcMap using the Adjacency Toolbox

Figure 9.2

Compiling the model structure in WinBUGS

Figure 9.3

Loading the data into WinBUGS

Figure 9.4

Compiling the number of chains in WinBUGS

Figure 9.5

Loading the initial values for each chain in WinBUGS

Figure 9.6

Setting the sample monitor tool and initiating program to run in WinBUGS