Re: [R-sig-Geo] Plot spatial time series

Thiago Veloso thi_vel...@yahoo.com.br writes: Hello, Another approach is to use the zoo package with setZ and cellStats. With a toy example: library(raster) library(zoo) fn - system.file(external/test.grd, package=raster) r - raster(fn) ll - lapply(runif(12), function(x)r*x) s - stack(ll)

[R-sig-Geo] EBI and local information

Hi HiI have a question about autocorrelation in counts with heterogenous population in area i y_i-counts n_i-population at risk r_i-rates rp_i-padronized rates Assunção e Reis (1999) say that you shouldn't use global Moran's I and that, in this cases, you can use EBI (in R, EBImoran.mc()).

[R-sig-Geo] analysis on .dbf file instead of .shp

Hello list, I am trying to perform a regression analysis on a vector data (shape file). Some of the attributes of the shape files are the potential explanatory variables (lets say X1 and X2) and response variable (Y). Now instead of reading the shapefile, I'm using the associated .dbf file and

[R-sig-Geo] Local Moran's I spatial weights

Dear mailing list readers, Is there a method to apply the spatial weighting scheme in local Moran's I to a grid ('SpatialPoints' object) as seen with 'fit.points' in gwr analysis? Thanks, Dan. -- View this message in context:

Re: [R-sig-Geo] analysis on .dbf file instead of .shp

Hello, On Mon, Jun 11, 2012 at 8:46 PM, aniruddha ghosh aniru...@gmail.com wrote: Hello list, I am trying to perform a regression analysis on a vector data (shape file). Some of the attributes of the shape files are the potential explanatory variables (lets say X1 and X2) and response

Re: [R-sig-Geo] help in constructing spatial weight matrix

Dear list, Given a following up to this question, I have myself a somewhat similar question to that of Alsulami. I have a shp of Finnish cities and would like to generate for them a weight matrix of neighborhood based on inverse distance (for further use in Moran's I calculus). Here is the code