Dear R-sig-geo, I am fairly new to R and very new to spatial regression models. I am attempting to compare an OLS model to some sort of spatial regression such as SAR. However, I am unclear about how to properly designate the spatial neighbors and weights and hope that someone can provide guidance.
My data set consists of variables taken from a series of irregularly shaped and spaced polygons, some are spatial nested (one completely inside another). I have approximate centroids for the polygons as well as some values for the max and min latitude and longitude of each. I am using the centroids in the example below. I have been using Bivand et al. (Applied Spatial Data Analysis with R) as a guide but my data is a bit different then the examples provided. I am attempting to make a weight file based on the distance based neighbors. I have pasted some example code below. My thought was that using distance based neighbors would associate the nested as well as some of the areas that are close by. This method seems to leave me with some areas without neighbors. This seems to cause a problem when I attempt to convert the 'nb' to the 'listw'. Can anyone provide me with guidance as to how to proceed or how to best associated the areas in my data set. Thank you in advance for any help! library(spdep) my.lat <- c(36.4000, 36.3908, 35.0550, 36.0226, 36.4472, 36.1450, 35.2680, 35.1335, 35.3225, 35.0050, 35.0450, 35.0600, 35.0500, 35.6120, 35.4330, 36.4580, 35.8850, 35.7647, 35.8842, 35.6135, 36.3915, 35.1290, 35.4769, 34.9881, 35.4267, 35.5986, 35.8927, 35.4721, 35.4684, 35.6802, 35.6413, 36.2405, 35.3650, 35.8183, 36.5495, 35.7250, 36.1955, 35.5960, 35.6300, 35.8930, 35.2360, 35.1400, 35.1970, 36.5000, 35.1540, 35.5432, 35.8898, 35.5389, 35.8641, 35.6340, 35.4560, 35.3630, 35.4270, 35.7080, 35.7930, 36.1020, 35.0127, 35.1380, 35.1310, 35.5689, 35.5417, 35.5206, 35.5634, 35.5157, 35.9020, 35.8975, 35.8843, 35.8872) my.long <- c(-81.4614, -81.5717, -83.4550, -81.8264, -81.0608, -81.8070, -82.4525, -79.8415, -82.5035, -83.1400, -83.0000, -82.9500, -82.9500, -83.7800, -82.2475, -81.4715, -81.8815, -82.2653, -78.5282, -79.1614, -81.0700, -79.1500, -76.8119, -79.5515, -80.0516, -81.6531, -78.5834, -76.9099, -78.9180, -80.9803, -80.5191, -77.8615, -80.0825, -78.8575, -76.3840, -78.7000, -78.8034, -79.1300, -83.5200, -79.0300, -77.8800, -79.2200, -77.8700, -76.1245, -79.1400, -79.3216, -79.0232, -79.2881, -78.7555, -83.4000, -83.1300, -82.9200, -82.7600, -82.3700, -82.2900, -82.1100, -82.8264, -81.3900, -81.3700, -83.6629, -83.4933, -83.8661, -83.7328, -83.8830, -79.0390, -79.0305, -79.0469, -79.0166) my.coords <- as.matrix(cbind(my.long,my.lat)) nb40km <- dnearneigh(my.coords,0,40, longlat = TRUE) plot(my.coords) plot(nb40km, my.coords, add = TRUE) nb50km.w <- nb2listw(nb40km, glist=NULL, style="W", zero.policy=TRUE) # this causes an error because of the regions with no neighbours found I am using R 2.8.1, spdep 0.4-29 on Windows XP Michael Denslow I.W. Carpenter Jr. Herbarium [BOON] Appalachian State University Boone, North Carolina U.S.A. -- AND -- Communications Manager Southeastern Regional Network of Expertise and Collections sernec.org _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo
