similar to: Newbie Question: Spatial Autocorrelation with R Tutorial?

I am new to R and have a question about spatial econometrics. I have noticed that you can easily test for spatial autocorrelation with the spdep package, but was wondering if any code has been written to correct for spatial autocorrelation? Or if there is any literature on this? Thanks. -Jill *************************************************** Jill L. Caviglia-Harris, Ph.D. Assistant

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).

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

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

Dear all, I am currently facing a problem related to the spatial autocorrelation of a sample of stations; these stations supply weekly data for a fixed time-window during the year (namely, 4-6 months per year). For this reason I'm trying to use the R package 'spdep' (specifically Moran's I) in order to get rid of it. Does anyone know how is it possible (if it is...) to

Hi, I have collected data on trees from 5 forest plots located within the same landscape. Data within the plots are spatially autocorrelated (calculated using Moran's I). I would like to do a ANCOVA type of analysis combining these five plots, but the assumption that there is no autocorrelation in the residuals is obviously violated. Does anyone have any ideas how to incorporate these spatial

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

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

Hi everybody, I'm performing a cluster analysis (pkg "cluster") on a dataset which includes 15 variables: is there a way to know how much each variable weighs on the final clustering output? Thanks Alessandro

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

Dear all, I am interested in plotting maps visualizing spatial statistics in an aggregated fashion, according to administrative boundaries. More specifically, I have fitted a cross-section model on data regarding Italian "counties" (province, for Italian readers) and I would like to visualize residual behavior on a map, in order to have a first assessment of their spatial

Hi everybody, I heard about "R(D)-COM Stat connector" for ArcGIS, but i am not sure what that is. I did a search in the archive but it seems i am not getting anything back. can anybody explain me what that is, and where i can find more info about it? There is any possibility to run R from inside ArcGIS? there is more than RArcInfo and Shapefile which can

Hello! Here is my problem, I have got a data set that contains values of intensity over a regular interval of time. What I need to do is to resample this data set (or curve) at a different interval of time x (1000 predictions will be made to resample the curve). So in order to perform such an operation I am required to do some kind of interpolation. I know that through kriging, the

Will there be a patch of the latest version of ext3 for kernel 2.4.10 forthcoming? -- David Hollister Driversoft Engineering: http://devicedrivers.com Digital Audio Resources: http://digitalaudioresources.org

Hi all, I have a very high dimensional data and apparently there are several columns that contain similar information (some columns are equal). I want to form a matrix/data frame consisting of unique columns. Does anyone have an efficient way of getting out these columns. A small section of the data frame is given below. Thanks for helping. Stephen. > newdata [,1] [,2] [,3] [,4] [,5]

When I try to load the DCluster package I get the following error message (R 2.5.1; PowerBook G4; Mac OS X 10.4.10) (Load needed package) Lade nötiges Paket: spdep (error: package spdep could not been loaded) Fehler: Paket 'spdep' konnte nicht geladen werden (additional warning message) Zusätzlich: Warning message: (There is no package spdep in:.....) es gibt kein Paket 'spdep'

Is there a painless way to find the names of all packages on CRAN that "Depend" on a specified package? url: www.econ.uiuc.edu/~roger Roger Koenker email rkoenker at uiuc.edu Department of Economics vox: 217-333-4558 University of Illinois fax: 217-244-6678 Champaign, IL 61820

Hello folks, I have some data where spatial autocorrelation seems to be a serious problem, and I'm unclear on how to deal with it in R. I've tried to do my homework - read through 'The R Book,' use the online help in R, search the internet, etc. - and I still have some unanswered questions. I'd greatly appreciate any help you could offer. The super-super short explanation is

Hi, I have a list of numbers. For each of the numbers, I take sum of squares of the numbers centered on the number chosen. If it is less than a certain constant, I will take the average of the numbers chosen. Anyone can give me a sample code. You help will be greatly appreciated. Peter [[alternative HTML version deleted]]