spatial | Spatial tools for processing spatial files | Map library

I have a map of countries (sf object) and I would like to shift the longitude of the eastern portion of Russia so that it is not isolated from the rest of Russia. See Image

I found the backend code for st_shift_longitude https://github.com/r-spatial/sf/blob/master/R/shift_longitude.R, which shifts all coordinates by 180 degrees, so that the resulting map looks as follows: link

How can I modify this block of code to shift the eastern portion of Russia only?

I have a SQL Server spatial layer with 750 circular polygons. Each polygon has a priority number "siteorder") and some of the polygons overlap (in some cases, with multiple others). I would like to split the overlapping areas to only retain it with the circle with the highest siteorder.

I'd ideally like to do this in SQL Server as I also have several steps to perform after this.

I generated the image below in QGIS but it can't easily do the rejoin.

Can anyone help please?

Thanks Rob

I create a spatial rectangle 25 x 20 and I only want to label the extremities (0, X) and (0, Y) when I plot it.
It works fine when coord_sf(expand=T) but I get an error message if expand=F.

The rectangle is defined as

I'm new to the package stars for R and am trying to do basic spatial operations with curvilinear data. I am using netCDF climate data. I am able to read the netcdf into r along with a shapefile I would like to use to specify the area in which I want to conduct analyses. I have tried to crop the file directly using st_crop() but receive the following error:

I am trying to make a data smoothng function on a set of data I am using savitzky golay filter in order to do that, I am collecting an array of data and call the function by Scipy. But since I am looping through a spcific element in a different frame I dont have spatial locality nor time locality. dataobj.body.data[j][0][i] holds (x,y) and I am only collecting the ys.

Here's the following loop :

I have two numpy arrays: ones is some coordinates (x, y, z) with an id and another one is only some coordinates (x, y, z):

I am building a 300x300 model with each grid cell being 10m. I used the sprout command to generate 1 turtle in each patch. The turtles perform some procedures and I keep the result in their original patch and die. I need to export this generated result which is stored in the patch. Does anyone know how I can export an array with the correct spatial distribution of the patch parameter? Or maybe an ordered table?

Thanks in advance

I have a spatial database with multiple tables, I have created a buffer for a table with points and wanted to add the buffer to the existing table. And wanted to do a spatial join like using this buffer and another table with points to count the number of points inside each buffer and add it as a new column in the existing buffer table. I cannot figure it out.

I'm trying to manage large datasets or files (e.g., GeoTIFF) on plain R (via terminal) or RStudio (1.4.1106), but both apps crash every time on Linux (Manjaro, x64, core i7, and 8 GB RAM) for some scripts (especially when a raster data is plotted using ggplot2 to produce a high-quality map, as well as a lmer function with random factors using a csv file with ~3000 rows and 6 columns). Probably the issue refers to memory management since all the memory is consumed. To overcome, I tried two packages to limit/increase the memory size, such as "unix" and "RAppArmor". However, if the memory size is limited, all your available RAM was exhausted and the famous message "cannot allocate a vector..." is shown. On the other hand, if the memory size is increased to high levels, R/RStudio simply crashes. On Windows, the following code works like a charm to increase memory size (only needed to plot a raster into ggplot2):