awesome-R
A curated list of awesome R packages, frameworks and software. (by qinwf)
sf
Simple Features for R (by r-spatial)
Our great sponsors
awesome-R | sf | |
---|---|---|
6 | 17 | |
5,781 | 1,276 | |
- | 2.0% | |
4.0 | 9.4 | |
about 2 months ago | 2 days ago | |
R | R | |
- | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
awesome-R
Posts with mentions or reviews of awesome-R.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-13.
- Good coding groups for black women?
- Where to learn R?
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Crantastic: What happened to it?
Won't cover newer ones, but Awesome R has a good list as does this site.
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Setup local development environment for R-yaml
First we looked for a project to play with. Checked the r projects, then looked at the awesome-R list and found r-yaml. We thought a library dealing with YAML files will be simple to install and test.
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WEBSITE WITH TEMPLATES
I can't really decipher what exactly do you want/mean but here you go: https://github.com/qinwf/awesome-R
- Python vs Matlab vs R
sf
Posts with mentions or reviews of sf.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-11.
-
Visualizing shapefiles in R with sf and ggplot2!
sf
- Ask HN: What are some of the most elegant codebases in your favorite language?
- Learning How to Use "Road Network" Files
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[Q] Book suggestion for Spatial Statistics / Geostatistics
Before learning about geostatistics, do you feel comfortable working with and exploring geospatial data? If not, I'd highly recommend getting comfortable with the sf package in R. It's an implementation of the OpenGIS standard in R tidyverse. The OpenGIS standard defines specific data types and functions for geospatial data, which means that you can read e.g. PostGIS documentation and use the same functions in R.
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People who live near other people vote for Democrats
Tools used: various packages in R (tidycensus, dplyr, ggplot2, sf)
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Calculate Distance From a Specific Coordinate to a Shapefile?
R supports working with spatial data really well; you should look into the sf-package: https://r-spatial.github.io/sf/
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[Q] Recommendations for Spatial Analysis Books with R
A lot of the books are out if date because geospatial has been rewritten from the ground up to be dramatically improved. I would focus on the sf package: https://r-spatial.github.io/sf/. I would also find a PostGIS book which sf shares many functions and learn to the the database when appropriate.
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Overlay Grid on Shapefile
Are you using the sf package? I envision running a loop that creates a vector feature for each cell of the raster grid, intersects that feature with the underlying shapefile, multiplies the area of each intersected portion by its value, and assigns the raster the mean of those values. Kind of a lot to set up, but I'm not a master at this so maybe someone else knows a more straightforward method
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is that possible to find check, a point in or out in a geojson on R
I found this: https://github.com/r-spatial/sf/issues/1595
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Converting distance/azimuth to a real position
Now that I explained the concept, I will show some R code using the sf library to achieve this. sf stands for simple features and it's a very nice library for working with geospatial data.
What are some alternatives?
When comparing awesome-R and sf you can also consider the following projects:
fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps
tmap - R package for thematic maps
easystats - :milky_way: The R easystats-project
ggmap - A package for plotting maps in R with ggplot2
lab02_R_intro - Vežbe 2: Uvod u R
dplyr - dplyr: A grammar of data manipulation
viridis - Colorblind-Friendly Color Maps for R
ggfx - Filters and Shaders for 'ggplot2'
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
rmarkdown - Dynamic Documents for R
llr - Lisp-like-R: A clojure inspired lisp that compiles to R in R
report - :scroll: :tada: Automated reporting of objects in R