similar to: nndist R vs. ArcGIS

Dear members, How can I read and plot an ArcGIS raster file into R ? The file has extension .aux and contains floating point bathymetry data. The purpose is to create a spatial model in R that uses ArcGIS map data. I have managed to read and plot various shape files into my R project, but I am stuck with this now. I am new to this list and also to R, so any help would be much appreciated. Many

It seems within the last ~3 months Ive been having issues with writing text or csv files from a R data frame.  The problem is multifold and it is hard to filter  out what is going on and where the problem is.  So, Im hoping someone else has come across this and may provide insight.   My current settings for R: R version 2.15.2 (2012-10-26) Platform: x86_64-w64-mingw32/x64 (64-bit) locale: [1]

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

Hi everyone, I wonder if anyone knows the reason why the outputs of the same reprojection in r and arcgis are different?. The magnitude of the change can be up to 40 km in the poles. Basically, I have a database of points equally separated by one degree over the globe. In ARCGIS, I am projecting the data in GCS-WGS-1984 and then reprojected it to Berhmann to ensure equal area

I've written the function below to simulate the mean 1st through nth nearest neighbor distances for a random spatial pattern using the functions nndist() and runifpoint() from spatsat. It works, but runs relatively slowly - would appreciate suggestions on how to speed up this function. Thanks. --Dale library(spatstat) sim.nth.mdist <- function(nth,nsim) { D <- matrix(ncol=nth,

Hi, I am trying to predict the habitat suitability of lobster with GAMs. I need to produce a map in ArcGis of the predicted densities. I did some search and the function predict.gam seems to do the job. Is this the right way to do it? when you apply the function you get the predicted values (different from your input data points) but I do not understand what is the procedure with the spatial

I am not sure a previous e-mail reached the list (no mail aknowledgement from R-boundle etc.). The question was how to write polygon or segment coordinates into a shapefile set or any other ArcGIS supported format. The library shapefiles seems to do something but the documentation is a bit beyond of my mind.... and I cannot get the meaning of the functions write**** and its application to the case

Dear R users, I used nndist() to gain the distance of 2 nearest neighbours of the points in my dataset. Is there a way of getting the ID numbers of these nearest neighbours (along with their distances). The command I used: nn2 <- nndist(X2, k=1:2). This is the output of the nearest neighbour distances I got (the IDs of the given points are there but their IDs aren't). Any help or

Hi all, I am very knew to this R and Arcgis combination. I have already spent days attempting to find my answer but have failed, therefore could you please if possible explain any answers in simple form. I am trying to access Arcgis through R, following a few steps: 1) Set up working directory 2)connect to Python 3) import arcgis- however, when I get to the import stage it comes up with an error

Hello: I am using R raster package to replace ArcGIS when processing multiple shp files. However, when I export R raster back to ArcGIS, it couldn't recognize R raster file correctly. For example, I used {raster} package and got a RasterLayer as followed. class : RasterLayer dimensions : 8280, 18480, 153014400 (nrow, ncol, ncell) resolution : 0.008333334, 0.008333334 (x, y)

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

Dear all, I have been trying to speed up a process we have been done in ArcGIS. We have to read a single layer TIFF (monochrome image) in . For this, I have used the "rtiff" package. After reading the TIFF file, I compared the raw values for each pixel that I have in ArcGIS to the ones obtained in R. In ArcGIS I have discrete values in the range 0..255, while in R I have continuous

Hello every body, i?m testing some w32 apps with wine and I found some problems. Trying to install ArcGIS (My first installation), I had the following error: Need internet explorer 6. Well I installed IE 6, and continue installing ArcGIS, it was installed succesfully, but it installed Phyton, and throw some problems. Well finally installed I run ArcGIS and the fonts were crazy, I didnt see

On R 2.15.2 and ArcGIS 9.3.1, it works for me in ArcCatalog but you have to follow the particulars here: http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?TopicName=Accessing_delimited_text_file_data For example: write.table(test, '***.tab', sep = '\t', row.names = F) The extension .tab and sep = '\t' are required for text files. Didn't test row.names=T but I

Like Tomas, I find the paste0 readability to be **much** better, partly because it allows for better indentation (as Tomas pointed out). Perhaps a pointless email, but sometimes - for these subjective issues - it is worthwhile to point out a difference in opinion. Best, Kasper On Mon, Jun 2, 2025 at 12:27?PM Tomas Kalibera <tomas.kalibera at gmail.com> wrote: > > On 6/2/25 17:37,

On 6/2/25 17:37, Josiah Parry wrote: > Tomas, > > Here is a good example of where this functionality would be useful: > https://github.com/R-ArcGIS/arcgislayers/blob/2b29f4c254e7e5a1dadce8d4b0015a70dfae39d4/R/arc-open.R#L19-L56 > > In order to prevent R CMD check notes I have to use `paste0()` to > concatenate long URLs. If we were able to use `\` to > separate the string

One could also argue that paste0("a", "b", "c") is a function call that needs to be evaluated at runtime, whereas "abc" is a string constant understood by the parser, and often also language agnostic. I'd assume compilers and code- and text-search tools do a better job with the latter. /Henrik On Mon, Jun 2, 2025 at 2:18?PM Josiah Parry

I suppose taste is learned as well. It does feel quite odd that the best way to define a long string without a note or text wrapping is by being creative with functions. This is valid in Python, Julia, and Rust (if you add `let` and a terminating semi-colon): my_str = "part1\ part2\ part2" I don't think it is abnormal to expect or desire this type of functionality in our favorite

Dear all, I've been using R on a Mac to process some data for export to ArcMap GIS (which only runs on Windows). ArcMap seems to require tab-delimited data (my data are in 3 columns), so I've been using the sep="\t" argument. However, this resulted in strange end-of-line characters when displayed on a PC. I looked in the write.table help file to find that eol="\r\n"

> On 3 Jun 2025, at 09:34, Henrik Bengtsson <henrik.bengtsson at gmail.com> wrote: > > One could also argue that paste0("a", "b", "c") is a function call that needs to be evaluated at runtime, whereas "abc" is a string constant understood by the parser, and often also language agnostic. I'd assume compilers and code- and text-search tools