Abstract
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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Cushman, S.A. (2010). Animal Movement Data: GPS Telemetry, Autocorrelation and the Need for Path-Level Analysis. In: Cushman, S.A., Huettmann, F. (eds) Spatial Complexity, Informatics, and Wildlife Conservation. Springer, Tokyo. https://doi.org/10.1007/978-4-431-87771-4_7
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DOI: https://doi.org/10.1007/978-4-431-87771-4_7
Publisher Name: Springer, Tokyo
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