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Tom Evans on Data Modeling

Interactions between people and the environment are complex and dynamic. Direct relationships between two specific phenomena (e.g., population density and deforestation) are rare, if not nonexistent. More commonly, data from a variety of sources are needed to adequately understand and explain the social and biophysical factors that are a part of human- environment interactions. One method of integrating the various phenomena affecting human-environment relationships is by creating a spatial representation to provide a spatially explicit data modeling environment. A critical aspect of these spatially linked datasets is the decision of what spatial unit of analysis to use to study a specific social-biophysical process. This presentation by Tom Evans discusses these spatial representations and implications for subsequent spatial data analysis.

This talk was sponsored by the Data to Insight Center.

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