Embedding R in Windows applications, and executing R remotely
Embedding R in Windows applications, and executing R remotely
Embedding R in Windows applications, and executing R remotely
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Us<strong>in</strong>g R to Analyze Space Use by Wildlife<br />
Alan K Swanson, Jennifer W. Sheldon <strong>and</strong> Robert L. Crabtree<br />
Yellowstone Ecosystem Research Center, Bozeman, Montana, USA.<br />
Wildlife researchers have used a variety of ”black-box” computer programs<br />
to generate bivariate pdf’s (known as utilization distributions <strong>in</strong> the wildlife<br />
literature) from a spatial po<strong>in</strong>t pattern of animal relocations. These compet<strong>in</strong>g<br />
programs often give conflict<strong>in</strong>g results when used to estimate parameters of<br />
wildlife space use such as home range area. The authors demonstrate the use of<br />
two-dimensional kernel smooth<strong>in</strong>g functions available <strong>in</strong> R to generate the pdf’s,<br />
<strong>and</strong> then show how these pdf’s may be used to estimate various parameters.<br />
Estimates made us<strong>in</strong>g gaussian kernels are compared to those derived us<strong>in</strong>g<br />
quartic kernels, <strong>and</strong> the effect of sample size is exam<strong>in</strong>ed. Various statistics for<br />
compar<strong>in</strong>g two bivariate pdf’s are presented. B<strong>and</strong>width selection is discussed.