search for: spatially

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

Hi Roman, Thanks for your reply. For the spatial coordinates layer, I just have coordinates of the upper left corner, numbers of rows and columns of the spatial map, and grid cell size. How to create a spatial layer of coordinates from this data? Thanks. On Mon, Jan 15, 2018 at 3:26 PM, Roman Lu?trik <roman.lustrik at gmail.com> wrote: > You will need to coerce your data into a

We are pleased to announce the following book: Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA Authors: Zuur, Ieno, Saveliev Book website: www.highstat.com Paperback or EBook can be order (exclusively) from www.highstat.com TOC: http://highstat.com/Books/BGS/SpatialTemp/Zuuretal2017_TOCOnline.pdf Summary: We explain how to apply linear regression models,

We're happy to announce the CRAN release of "sp", an R package which has new-style classes and methods for spatial data, version 0.7-9. Spatial data types that sp implements are: points, grids, lines, and polygons (i.e., rings) optionally with holes. Methods include + the usual print, summary, plot, [, [[, $, ... + coercion between types (e.g. points and grids, matrices,

We're happy to announce the CRAN release of "sp", an R package which has new-style classes and methods for spatial data, version 0.7-9. Spatial data types that sp implements are: points, grids, lines, and polygons (i.e., rings) optionally with holes. Methods include + the usual print, summary, plot, [, [[, $, ... + coercion between types (e.g. points and grids, matrices,

Dear all, I'm working with satellite images in R and plotting them via the code below. I was wondering whether coordinates (spatial["x"], spatial["y"]) are used as centre coordinates of the pixels in the GRID? In this script; spatial["x"] & spatial["y"] are the centre coordinates of the satellite image pixels. I'm asking this because some

...p between them. Using these 575 cases, how can I simulate a clustered process and have a dataset that has four columns: x-coor y-coor z c I know I can use rpois or pcp.sim to generate points that clustered and then use cbind to attach Z and C values. But the problem is my observations will not be spatially clustered. How can I simulate so that now Z is spatially clustered? Thanks! K. --------------------------------- [[alternative HTML version deleted]]

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

>From your description, I am **guessing** that you may not want a "spatial map" (including projections) at all, but rather something like a level plot. See ?levelplot in the lattice package for details. Both I am sure ggplot2 has something similar. Apologies if I havemisunderstood your intent/specifications. Cheers, Bert Bert Gunter "The trouble with having an open mind is

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

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 Bert, I think you are correct that I can use levelplot, but I have a question about converting data. For example, the statement: levelplot(Z~X*Y), Z is row-wise from the lower left corner to the upper right corner. My dataset just have gridded Z data as a txt file (or can be called matrix?), how to convert them to the vector in order for levelplot to use? Thanks. On Mon, Jan 15, 2018 at 6:04

I am looking for online courses to learn Spatial Statistics using R. Statistics.com is offering an online course in December on the same topic but that schedule doesn't suit mine. Are there any other similar modes for learning spatial statistics using R??? Can someone please advice??? Thank you. Ravi -- View this message in context:

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

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.

Sorry for the emails, I just wanted to have an example. layer$z 1 1 3 4 6 2 2 3 4 1 2 9 1 4 5 2 1 8 How to convert the matrix to layer$z = c(1, 4, 5, 2, 1, 8, 2, 3, 4, 1, 2, 9, 1, 1, 3, 4, 6, 2)? I think this vector is the order that levelplot can use. Thanks again. On Mon, Jan 15, 2018 at 10:58 PM, lily li <chocold12 at gmail.com> wrote: > Hi Bert, > > I think

...> editor: GNU Emacs 21.4.1 > front-end: ESS 5.2.3 > ----------------------------- > Colleagues > I have two spatial datasets (latitude, longitude, fish eggs) and (latitude, longitude, fish larvae) at the same 280 stations (i.e. 280 cases). I want to determine if the 2 datasets are spatially correlated. In other words, do high numbers of larvae occur where there are high numbers of eggs? I would like to calculate the cross correlation for these bivariate data and calculate a Mantel statistic as described on pg. 147 of Fortin and Dale 2005 "Spatial analysis". My search of R...

Hi Everyone, I am doing a project based on "Spatially Lagged Predictor Variable Models", I would like to know which package in R would execute this model. Also, I am new to this field of spatial statistics. Any suggestions for a good book on spatial regression analysis would be appreciated. Thanks Again. Cheers Arun -- View this message in con...

...patial 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 could be spatially correlated as well. In such case is it necesary to remove spatial autocorelations before fitting models in time and are there some methods available in R to remove the spatial autocorrelations. Thanks nuncio -- Nuncio.M Research Scientist National Center for Antarctic and Ocean research Head lan...