GGR227H5 Lecture Notes - Lecture 8: Spatial Analysis

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21 Nov 2018
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Helps understand systems that are too complex or too difficult to measure directly. Explore how sensitive the system is to parameters. Understand contemporary processes, perhaps we can accurately predict future scenarios. To a large extent, spatial models seem to represent either loose metaphors with never be adequately parameterized. (wennergren et al. 1995) little justification for their complexity, or highly specific descriptions that could. Each cell is assigned an initial state, progresses over time due to simple rules. Each cell can change to a different type, with its own unique properties and processes.

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