• Fundamentals of Spatial Prediction

    In the process of creating a map, geographers often have to engage in the activity of spatial prediction. Although there are many tools we use to accomplish this task, they generally boil down to the use of one or two fundamental concepts: spatial association and spatial autocorrelation.

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  • Digital Classification of Hillslope Position for Defining Soil Map Units (2014 SSSA Conference)

    This poster provides examples from different landscapes demonstrating the hillslope position model’s ability to better place soil delineations where defendable landscape breaks exist. The results of this model are base maps that can be used to (1) improve research on toposequences by providing explicit definitions of each hillslope element’s location, (2) facilitate the disaggregation of soils currently mapped as complexes due to topographic variation, and (3) identify map unit inclusions in areas of subtle topographic variation. The base maps developed by the model can also help identify areas of possible mismapping, especially where soil boundaries cross topographic breaks.

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