Testing for structural change in spatial regions at unknown positions
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Date
2012-05-11
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Abstract
We propose a
fluctuation-type procedure for detecting breaks in spatial regions.
While such tests are common in the context of time series, it is not a priori clear
how to apply them to spatial data as there is no natural order of the observations.
We demonstrate how this order can be constructed from a spatial autoregressive
model. Once such an order is derived, standard time series results apply and break
points can be consistently identified.
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Keywords
change point, fluctuation test, spatial correlation, spatial order