Arnold, MatthiasWied, Dominik2012-05-112012-05-112012-05-11http://hdl.handle.net/2003/2944110.17877/DE290R-3337We 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.enDiscussion Paper / SFB 823 ; 19/2012change pointfluctuation testspatial correlationspatial order310330620working paper