search for: nb2mat

...clause. Phalaen wrote > Hi! > I am a Phd student in the university of Padua and I am trying to write a > little script (the first!) to make a simulation on epidemiology. > I'd like to change the values of a vector of 883 values basing on a > neighbour matrix constructed with nb2mat from a shapefile: if i and j (two > cells) are neighbour (matrix) and i or j have a positive value in the > vector, I'd like to transform the value of both i and j to 1 (positive), > otherwise the value of i and j should remain 0. When I launch the next > little script: > > f...

...): library(rgdal) # Version: 0.6-28 library(spdep) # Version: 0.5-24 (loads sp: Version: 0.9-72) # read in the data states<-readOGR(".","s_01de10") summary(states) # now create a neighbors list states_nb<-poly2nb(states) # create a 0/1 matrix of the neighbors nb_mat<-nb2mat(states_nb,style="B",zero.policy=TRUE) # add names nms<-as.character(states$NAMES) # set the matrix names dimnames(nb_mat)<-list(nms,nms) # now see which states have no neighbors rowSums(nb_mat) # it turns out that Florida seems to have zero neighbors. I then repeated it with stat...

Hi all, I am sorry if this is a very basic quesion, but I have no experience with analyzing spatial data and could not find the right function/package quickly. Any hints would be much appreciated. I have a matrix of spatial point patterns like the one below and want to find the number of independent components (if that's the right term) in that matrix (or in that image). x=matrix(c(0,1,0,0,0,

Anyobody knows if functions neighbor.grid and spatial.weights (from module spatial) have any 'equivalents' in R ? Thanks. JA -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the

My question is in regard to the spdep and GeoDa packages. Do you know how to extract a neighborhood/adjacency matrix from R? I need a matrix that has all the neighborhoods on the X and Y axis, and then a r=1 when the neighborhoods touch, and a r=0 when neighborhoods don't touch. I think the Moran's I functions use a matrix like this when they estimate Moran's I. I can estimate

Dear List, I have been trying to extract associations from a matrix whereby individual locations are within a certain distance threshold from one another. I have been able to extract those individuals where there is 'no interaction' (i.e. where these individuals are not within a specified distance threshold from another individual) and give these individuals a unique Group ID containing