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tmap | sf | |
---|---|---|
3 | 17 | |
837 | 1,271 | |
1.6% | 1.7% | |
9.4 | 9.4 | |
5 days ago | 8 days ago | |
R | R | |
GNU General Public License v3.0 only | 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.
tmap
Posts with mentions or reviews of tmap.
We have used some of these posts to build our list of alternatives
and similar projects.
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US Colored Map
try the tmap package
- I did this on excel, but want to export to SVG and have the labels for all countries even if they go outside, I can rearrange on illustrator. Which would be the best way to reproduce in R. Which package allows for a choropleth world map with country labels?
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Which R package should I choose to draw maps?
Leaflet has been mentioned but is for web maps, which may or may not be what you're looking for. You can definitely use ggplot, otherwise tmap is a sepcialised mapping package whose syntax is modelled on ggplot.
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.
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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 tmap and sf you can also consider the following projects:
ggplot2 - An implementation of the Grammar of Graphics in R
ggmap - A package for plotting maps in R with ggplot2
absmapsdata - Use ABS ASGS data easily in R
awesome-R - A curated list of awesome R packages, frameworks and software.
mapview - Interactive viewing of spatial data in R
dplyr - dplyr: A grammar of data manipulation
worldview - Create an image of a random location in the world (from an XYZ server)
ggfx - Filters and Shaders for 'ggplot2'
rmarkdown - Dynamic Documents for R
report - :scroll: :tada: Automated reporting of objects in R
tidycensus - Load US Census boundary and attribute data as 'tidyverse' and 'sf'-ready data frames in R
namedropR - R package namedropR