similar to: Spatial Statistics using R

Hi, I am stuck in a looping problem. It might be an easy problem for experienced R users but I have been unable to do it. Any kind of help or advice will be great appreciated. I am creating a spatial grid and have a list of spatial points in a folder. I can read the spatial points separately and get a count of the points in the spatial grid in R. The output should be a table showing the counts of

Dear R users, I am putting together reading and resources lists for spatial statistics and spatial econometrics and am looking for some pointers from more experienced practitioners. In particular, I find two "camps" in spatial modelling, and am wondering which approach is better suitied to which situation. The first camp is along the lines of Venables and Ripley's Chapter 14

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

Hi, Is there any package or functions in R that can perform tests and estimation for a spatial econometric model in a simultaneous system? Thank you!!! Xia Feng

Dear R-users, I'm trying to do some spatial simulation. I have two covariates, Z and C. I want to examine their relationship under different spatial distribution. I have no problem simulating completely spatial random process but I'm totally stuck on poisson (cluster) pattern. I already have a dataset with Z and C (obs=575) and I know the relationship between them. Using these 575

Dear all, I am looking for a clustering method usefull to classify the countries in some clusters taking account of: a) the geographical distance (in km) between countries and b) of some macroeconomic indicators (gdp, life expectancy...). Are there some packages in R usefull for this? Thanks a lot for your help, Dorina

I want to create a dataset in R with spatial correlation (i.e. clustering) built in for a linear regression analysis. Any tips on how to do this? Thanks. -- View this message in context: http://www.nabble.com/Need-help-creating-spatial-correlation-for-MC-simulation-tp19542145p19542145.html Sent from the R help mailing list archive at Nabble.com.

Dear colleagues, I'm searching for methods to analyze spatial distributions of cells with certain properties in a regular grid. For instance, consider a grid, where a part of the cells have the property "0", and the others have the property "1". I'm looking for statistics I could use for characterizing the spatial distribution of the "1-cells". Does anyone

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

Hi everyone. I posted this on R-sig-geo but got no response. Can select.spatial() be used in an existing spplot? I have tried selecting points (eq) from a plot generated from sp. However, when I invoke select.spatial(eq). It generates only the points without the background containing the faults. I need the background to select which earthquakes coalesce on which fault. Is there an alternative?

Hello, I have a matrix with the distances among sites. And I have another matrix with the presence and absence of each species in each site. I would like to test the spatial autocorrelation among sites. I have tried to use the function gearymoran of the ade4 package, but error messages keep popping up. Do you know any function for me to test the spatial autocorrelation of my data? Thanks,

To understand some functions about spatial point patterns in "spatstat" ,I should know some background about it, and the best way is to read the monograph, and "Statistical Analysis of Spatial Point Patterns" (2nd edt.) is a better choise. But I can not find it anywhere I can. Who can help me? Thank you! ----- unangu at gmail.com -- View this message in context:

hello, I want to do a test for spatial correlation. I tried it with geary.test() but I don't understand the required input. x= a numeric vector the same length as the neighbours list in listw (my sampled data, I assume) listw= a listw object created for example by nb2listw (well when I check nb2listw() I get to "neighbours - an object of class nb" - but I couldn't figure

Hi list, I am trying to fit arima model for a grid of 360x161x338 points, where 360x161 is the spatial dimension and 338 is the number of time steps I have, which is seasonal. For this purpose I used the auto.arima function in forecast package. After fitting residuals at each grid in space, the auto correlations are still significant ( but < 0.2). This make me think that the data

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

Hello, Could anyone please tell me how to estimate Heteroscedasticity Consistent standard errors for a Spatial error model? All the functions I have looked at only works for lm objects. Thank you very much! - Oshadhi

Hi users, I have no clear clue about plotting spatial data. For example, I just have a table with attribute values of each grid cell, such as elevation. Then I have coordinates of the upper left corner in UTM, the number of rows and columns, and grid cell size. How to create spatial plot of elevations for the grid cells, in color ramp? Should I create a spatial grid layer with all the polygons

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

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

You will need to coerce your data into a "spatial" kind, as implemented in `sp` or as of late, `sf` packages. You might want to give the vignettes a whirl before you proceed. Roughly, you will have to coerce the data to Spatial* (you could go for a point, raster or grid type, I think) and also specify the projection. Once you have that, plotting should be handled by packages. Here are a