In the preceding column, Sarah Lindley discusses geographical models. Models are simplifications of reality. They may be conceptual models or they may be more detailed quantitative or computer models. Either way, models embody assumptions or hypotheses about the way the world (or at least the system you are studying) works.
This notion of models as hypotheses is valuable if you are trying to structure your NEA. When you collect data in a particular geographical context you can compare it to a model. This will help you understand which elements of the system you observe are driven by well-understood processes and which may be impacted by local effects in your particular study area.
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