Dear list members, I am a GIS programmer at Hungarian Central Statistical Office, and trying to make a work about statistical connections between time required to reach some source (e.g. the capitol, the border crossing points, or local civil services) and local social parameters (this first time the governmental tax/person - as an indicator of the income). I have computed the required time data via network analysis for each localities, and have the respond variable. Using R I have made some linear fittings between time as predictor and the paid tax/person as respondent, but, I suspect, the strong linear correlation I found is an outcome from the spatial autocorrelation in the tax data.
I have mapped the local spatial autocorrelation for these data, and found that it shows positive, negative and insignificant spatial autocorrelations between the neighbours in large, well separated continuous areas. The same areal distribution is typical for the residuals from the linear correlation. My question is: should I use geostatistical methods based on variogram? The argument to support this method is: My predictor is a distance-like value - in fact the time which is a function of the available speed on the road segments and the distance between localities. The argument against this method: My data are not from spatially continual variable(s), because there is not living people between settlements. Or should I include a "spatial lag" - the local average of the data weighted by the inverse distance (time) - into the regression? I strongly suspect, that this later method is the better solution, but can someone direct me to a publication about similar work? Please, excuse me for this longish "question". Thank you in advance Jozsef Fabian GIS programmes HCSO Hungary -- * To post a message to the list, send it to [EMAIL PROTECTED] * As a general service to the users, please remember to post a summary of any useful responses to your questions. * To unsubscribe, send an email to [EMAIL PROTECTED] with no subject and "unsubscribe ai-geostats" followed by "end" on the next line in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list * Support to the list is provided at http://www.ai-geostats.org
