similar to: FW: test of spatial dependence?? - ask a geographer (was ask an ecologist)?

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).

Marine Spatial Modeler/Quantitative Ecologist position Full-Time/Exempt (Salaried) contract position with CSS-Dynamac (40 hrs per week) Job ID: 2016-1790 Location: Silver Spring, MD, USA; National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) Posted Date: 11/29/2016 Category: Science/Engineering Security Clearance Level: National Agency Check

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 NOAA National Centers for Coastal Ocean Science is hiring a Computational Ecologist, a statistical/computational ecologist with experience fitting advanced spatial models to marine wildlife survey data (e.g., seabirds and marine mammal transects, fisheries trawl surveys) in R and other statistical languages. This is a full-time, long-term stable contract position. We are looking for an

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. 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've gotten smb-wall to work with Samba v3. If there's a better way, please let me know. If not, what's the chances this could be included in a future release? #!/usr/bin/perl # #@(#) smb-wall.pl Description: #@(#) A perl script which allows you to announce whatever you choose to #@(#) every PC client currently connected to a Samba Server... #@(#) ...using "smbclient -M"

hi Howard, I'll check into the discrepancy but having the FLAC blocksize match the CD sample frame size is probably not desirable. the optimal blocksize for FLAC is relative to the stationarity of the signal and the 588 sample frame is not related to that, it's an artifact of optimal storage on CD. Josh --- Howard Farrar <howard.farrar at meridian.co.uk> wrote: > Hi > >

hello R-friends, I am a R beginner and try to ask a basic question: How to test the spatial dependence of a column of data? for example, I have 25 agricultural fields, and I measure the average slope (%) or pH for each field. All I have is 25 numbers. PS, could someone confirm that "spatial dependence" is equivalent to "spatial correlation" or "spatial

I have been working on a CTDB cluster on and off for a while now. I had it working great for a while. THen I decide dthat I wanted to change the configuration of my replicated volumes. I changed my DRBD configuration to match my desired configuration. Now I can get the CTDB to work quite right. I am able to join the cluster to the domain without issues. I can also list my ad users and groups using

All, I have done a cluster analysis analysis of some spatial locations, based on variables other than lat-long, and want to show the results on a map to see if my clusters have some geographic meaning. For kmeans (etc.) I would just use different symbols (etc.) to distinguish the clusters, but I am doing hierarchical CA. I am looking for ideas or (better) code. One

I like to monitor simulation by reporting some current values to the console, every 25th iteration say. I think it might be nice to have that appear in a separate window. Anyone know how? regards, David Farrar New River Analytic [[alternative HTML version deleted]]

Hello, Rsync 2.5.5 is producing this error message and a core file when executing the command "/usr/local/bin/rsync -av --delete --force /net/OSCM/OS_ATLAS2/CONFIG/. /net/OSCM/OS_TITAN1/2.6/CONFIG/. /OS/2.6/CONFIG" building file list ... done rsync: connection unexpectedly closed (8 bytes read so far) rsync error: error in rsync protocol data stream (code 12) at io.c(150) The

Dear all, I am new here ,I attempted to use R to estimate the spatial Durbin (mixed) model,and mydata is a panel data form,and the matrix is generated by geoda software ,here is my Command and error,really hope your help ,thank you! #??gal library(spdep) w<- read.gal("E:/splm/zj.GAL",override.id=TRUE) ww<-nb2listw(w,zero.policy=TRUE) #???? library(foreign)

I had a look at the online documentation, and didn't see from that what is my problem. If I should have, pardon me. Here is my session. As I understand the documentation, this should work with only an hclust object. I get a similar error when in include a FUN argument. I am using V2.4.0. > hc Call: hclust(d = dist(mtx2, method = "manh"), method =

Dear All, I would like to introduce the above-named new package that is now available on CRAN: https://cran.r-project.org/web/packages/skedastic/index.html The package features numerous 'classical' heteroskedasticity tests (some not previously available in any published R package) as well as one very new test that appeared in the literature only in 2019. Feedback on bugs/issues is most

Dear All, I would like to introduce the above-named new package that is now available on CRAN: https://cran.r-project.org/web/packages/skedastic/index.html The package features numerous 'classical' heteroskedasticity tests (some not previously available in any published R package) as well as one very new test that appeared in the literature only in 2019. Feedback on bugs/issues is most

Title: HOWTO-FreeBSD-on-XCP Author: John D. "Trix" Farrar Date: 2012-02-09 * The Challenge - ParaVirtualized FreeBSD 9.0-RELEASE under XCP 1.1.0 The idea here is to create a PV FreeBSD VM under Xen Cloud Platform (XCP) without starting with an HVM first. The documentation I''''ve been able to find on-line is at least a year old and is mostly written for Xen (under

Hello R-user, sorry for this very off-topic question. But I shall present R to my dept. (pro's and con's and what it can do). The pro's and con's are easy but not what R can do (additional to the "normal" statistics). I looked through the packages, but the enormous amount of packages makes it very difficult for me to decide which one is worth mentioning. I used

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