Dear listers, My question is about comparing two value lists mapped onto the same point pattern: We have calculated a kind of economical potential estimate from data collected for 576 towns from gravitation modell using linear distances between towns first, then using the minimum time required to reach one town from the other via road network. So, we have two values for the same 576 points which differ from each other with some magnitude and in spatial distribution, too. We would like to spatially compare two data to find areas where the two methods gives the most different results.
Our idea was to calculate a (simple) linear regression for the two values, and then map the residual values, looking for the continuous sub areas where residuals are autocorrelated. We are not interested in estimation, but in finding the anomaleous places, where one modell locally significally over- or underestimates the other one. I am interested in your opinion about this approach, I would be thankful to get ideas about probably better (standard?) methods for comparing two mapped value sets. Jozsef Fabian
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