US Forest Service
  
Treesearch

Rocky Mountain Research Station

 

US Forest Service
P.O. Box 96090
Washington, D.C.
20090-6090

(202) 205-8333

Global Forest Information Service

Science.gov - We Participate

USA.gov  Government Made Easy

Publication Information
Bookmark and Share

Title: Animal movement data: GPS telemetry, autocorrelation and the need for path-level analysis [chapter 7]

Author: Cushman, Samuel A.

Date: 2010

Source: In: Cushman, Samuel A.; Huettmann, Falk, eds. Spatial complexity, informatics, and wildlife conservation. New York: Springer. p. 131-149.

Description: In the previous chapter we presented the idea of a multi-layer, multi-scale, spatially referenced data-cube as the foundation for monitoring and for implementing flexible modeling of ecological pattern-process relationships in particulate, in context and to integrate these across large spatial extents at the grain of the strongest linkage between response and driving variables. This approach is powerful for developing information about the conditions of multiple ecological attributes continuously across the analysis area. However, there are a number of ecological questions that involve processes that are not functions of ecological conditions at point locations alone. Many of these involve spatial processes and mobile agents, such as the spread of disturbances, dispersal of propagules, and the movement of mobile animals. The focus of this chapter is on animal movement data.

Keywords: animal movement data, GPS

View and Print this Publication (956.2 KB)

Publication Notes: 

  • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

 [ Get Acrobat ]  Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility

Citation

Cushman, Samuel A.  2010.  Animal movement data: GPS telemetry, autocorrelation and the need for path-level analysis [chapter 7].   In: Cushman, Samuel A.; Huettmann, Falk, eds. Spatial complexity, informatics, and wildlife conservation. New York: Springer. p. 131-149..

US Forest Service - Research & Development
Last Modified:  April 3, 2013


USDA logo which links to the department's national site. Forest Service logo which links to the agency's national site.