Spatially Lagged Model

Spatially Lagged Model


Last edit: shauncoutts (13 Dec 2016 14:46) | Revisions: 2 | Created by: shauncoutts | Rating: 0


Many processes in ecology are spatially auto-correlated, for example environmental variables often change slowly over space, and offspring are likely to disperse to locations close to their parents. This presents both problems and opportunities when analysing ecological data. Problems occur because data points taken from nearby locations are not independent, and this non-independence has to be corrected for. Imagine we measure soil moisture and plant growth for 100 plants. We then run an analysis showing that plants in areas with higher soil moisture grow faster. However, each of those plants has a location, and some plants will be close together.


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