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    Author(s): Samuel A. Cushman
    Date: 2010
    Source: In: Cushman, Samuel A.; Huettmann, Falk, eds. Spatial complexity, informatics, and wildlife conservation. New York: Springer. p. 131-149.
    Publication Series: Book Chapter
    Station: Rocky Mountain Research Station
    PDF: View PDF  (956.2 KB)

    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.

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    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.

    Keywords

    animal movement data, GPS

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