| library(raster) | |
| library(rayshader) | |
| #Load QGIS georeference image (see https://www.qgistutorials.com/en/docs/3/georeferencing_basics.html) | |
| testindia = raster::stack("1870_southern-india_modified.tif") | |
| #Set bounding box for final map (cut off edges without data, introduced via reprojection) | |
| india_bb = raster::extent(c(68,92,1,20)) | |
| cropped_india = raster::crop(testindia, india_bb) | |
| #Convert to RGB array |
First we'll update your local master branch. Go to your local project and check out the branch you want to merge into (your local master branch)
$ git checkout masterFetch the remote, bringing the branches and their commits from the remote repository.
You can use the -p, --prune option to delete any remote-tracking references that no longer exist in the remote. Commits to master will be stored in a local branch, remotes/origin/master.
Install native ARM R: https://cloud.r-project.org/
Install RStudio (probably preview) which is not native as of today: https://www.rstudio.com/products/rstudio/download/preview/
This blog post is helpful for getting Tensorflow working, but it is older, before the ARM version of R and the RStudio version that supports it was available.
This other blog post has specific steps outlined, but some of it has also been superseded.
| # broom tidy method for class "inla" | |
| tidy.inla <- function(x){ | |
| # x = model_inla | |
| term_names <- rownames(x$summary.fixed) | |
| tibble::as_tibble(x$summary.fixed) %>% | |
| dplyr::mutate(terms = term_names) %>% | |
| dplyr::select(terms, |
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