How to check a large neighbourhood matrix?
Oscar:
If you produced the nb list in R, you can always summarize the nb list
to see whether there are units that don't have neighbors.
For instance:
#loading spdep
library(spdep)
#you have read a shapefile of postal code areas:
post<-read.shape("../yourshapefile.shp")
#since it is a polygon shapefile, a Map2poly and poly2nb function shall
do the trick (Roger will have better ideas than my naive ones)
post.nb<-poly2nb(Map2poly(post))
#then you summarize the nb list:
summary(post.nb)
The summary command will give you the characteristics of the neighbor
list object, including Number of regions, Number of nonzero links,
Percentage nonzero weights, Average number of links, regions that have
no links (which shall give you the idea whether or not some postal code
areas are connected) and the most and least connected regions
Hope this helps.
Regards,
Dr. Danlin Yu
Oscar Breugelmans wrote:
Dear all, I am working on a neighbourhood matrix of the postal code areas in the Netherlands. Reading the shapefile and producing the matrix is no problem (after some help from Roger), but I am not completely confident that all neighbours are recognized because there are a few polygon boundaries that are topologically unclean. I have checked the shapefile as closely as possible, but with 4000 postal code areas this is a hell of a job. Plotting the matrix in R (using plot.nb) is also not an option because with so many areas the individual connections are no longer visible. Thus, I would like to zoom in on parts of the graph to check whether all neighbours are defined correctly. I searched the web for methods to zoom in and out of a graph in R, but couldn't find anything. Does anyone know if there are ways to do this? Oscar
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___________________________________________ Danlin Yu, Ph.D. Assistant Professor Department of Earth & Environmental Studies Montclair State University Montclair, NJ, 07043 Tel: 973-655-4313 Fax: 973-655-4072 email: yud at mail.montclair.edu webpage: csam.montclair.edu/~yu