Ecological processes are inherently spatially distributed due to spatial dependence of environmental conditions and spatial autocorrelation of species behaviors and dispersal abilities. A broad overview of spatial analytical methods that quantify (geostatistics, network theory, boundary detection), test (restricted randomization) and model (spatial regressions), and model spatially autocorrelated ecological data will be presented. Students will be introduced to the concept of spatial scales and how multiscale analysis can be performed with census and sampled data. Spatial methods to deal with point pattern data and surface pattern data will be reviewed. Assignments include two computer labs and a term paper.