similar to: GeoDa spdep

The attachment is my dataset: 1.ccc.shp (the original data) 2.ccc.gwt, which is computed by Geoda; Introduction to the variables in my data: ID: key variable; N_LATITUDE: latitude measured by GPS; E_LONGITUD: longitude measured by GPS; LIVES: attribute data I get the different result of Moran's between ARCGIS and Geoda, R, why? ARCGIS:spatial statistics tools:spatial

Hello List, I'm a very new user to the R system. I'm only beginning to learn the basics, but so far I've been able to do little more than try a few examples, and of course begin reading the documentation. My primary motivation for exploring R is the availability of tools like the 'spdep' package for calculating spatial statistics such as Geary's C and Moran's

Greetings: I am trying to work with spdep (everything is "brand new" downloaded this morning). OS = Windows 2000 (also up to date). The code I am using follows: #example gal.county=read.geoda("lnpilnd.GAL", row.names=NULL, skip=0) summary.nb(gal.county) Error in summary.nb(gal.county) : Not a neighbours list #end The gal file works just fine in GeoDa (also up to date).

I want to do "moran's I test" in R language. I try to use "gearymoran" in Package "ade4","moran" in Package "spdep", and Moran.I in Package "ape". But I do not know how to do it because data format is different. My data: x y dbh 111.03 10.7 7 118.11 0.28 1.2 165.36 0.36 8.4

Hello. I have been working with GeoDA, and have created a spatial weights file for my data. I am now looking to use R to run regressions on this data. However, I don't know and can't figure out how to get my data into R to run these regressions. I have the data in many formats, from a .dbf file to an Excel spreadsheet, but I'm not sure how to go about importing it into R. Could

I downloaded a US states+territories shapefile from http://www.weather.gov/geodata/catalog/national/html/us-state.htm and unzipped it into my working directory. Then in R (version 12.2.0 for ms-win32): 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

Howdy All, I am looking for some good tutorials (books, websites, whatever) for calculating/testing for Spatial Autocorrelation using R. Specifically, I am wanting to test for autocorrelation of a number of variables measured at a set of discrete locations. Up to this point I have been exploring the "spdep" package and I can get "moran.test" to work, but I am concerned that

Dear all, I would like to calculate a Moran's I statistic using the moran function in the spdep package. The problem I'm having deals with how to create the listw object. My data stems from the area of social network analysis. I have list of poeple and for each pair of them I have a measure of their relationship strength. So my dataset looks like: Jim; Bob; 0.5 This measure of

Dear all, I have a question regarding the spdep package: Assume that each person within my dataset is characterized by a continuous variable y. In order to test for spatial autocorrelation in y I calculated a Moran's I statistic. The problem is that y is also likely to be influenced by a series of other variables x that are unique to each person in my dataset. To test to which extent the

Dear , This is Elaine. I am computing moran's I using moran.test for a generalized linear model (multiregression). The following contents are the results, and I cannot find the observed Moran's I mentioned as estimate in the manual. Please kindly help indicate if there is observed Moran's I did not notice or other method for calculation. Thanks Elaine data: residuals(modg1)

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Attached is patch to provide support for OpenSpace in mapstraction. A demo can be seen at http://yvonnesplants.co.uk/openspace_demo.html. Note that OpenSpace seems sometimes to have a problem with links clicked from email. If you get an error ''HTTP referrer not valid'' then open a new browser window and paste in the link and it should be ok. The following features are not

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,

Hello everyone, I have Asterisk SVN-trunk-r7498 installed on a server (celeron 2.4 Ghz, 256MB) with a TDM40b a TDM04b and an avm fritz!card pci. I experience a problem with voicemail: my messages are good unless the incoming call comes from isdn, which means via the avm fritz!card. In this case (and in this case only) the message is disjointed and I can hear at most 1 second out of a 1 minute

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Hi group, I'd like to do spatial analysis of my data using the spdep package. It appears that a file of class nb is necessary, but I do not find what that should look like and if there is a function that creates such file for me. How can I create a nb-object of my data points? Thanks, René Eschen. [[alternative HTML version deleted]]

Hi I am interested in extending mapstraction to include the UK Ordnance Survey OpenSpace API (http://openspace.ordnancesurvey.co.uk). First can I check that no-one else is working on this? Assuming not, is there any documentation that might point me in the right direction to get started, or should I just search the code for case ''google'' and insert appropriate code at each

Hi, I am looking for some code for Moran's I. Has anyone previously done this? I have been unable to find it in the search engines. James

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

Hi R helpers, Is there a function (package?) in R available which tests "spatial autocorrelation" between points (e.g. vector layer of weather stations)? (e.g. Moran's I...) Via the archives we found out that there is a package 'spdep' which uses grid data for testing spatial autocorrelation. Thanks a lot, Jan