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Items tagged with: RStats


My recent talk "Analysis of Spatial Patterns: Current State and Future Challenges" presented at IIASA explores methods for quantification and exploration of spatial patterns.

You can find the slides at https://jakubnowosad.com/iiasa2023/.

#rstats #rspatial #spatialpatterns #landscapeecology


#TidyTuesday | Week 42 | Taylor Swift

Initial hypothesis ... Swift's early albums would have songs with slower tempos due to her country roots.

Not true. Shifting song tempos not tied to genre.

code: https://github.com/curatedmess/TidyTuesday/blob/main/2023/10172023/taylor_tempo.R

#rstats #dataviz #ggplot2


As result of a long process, the {rgdal} package for #RStats has been archived today on #cran
https://cran.r-project.org/package=rgdal
I am impressed how the r-spatial community handled this process: https://r-spatial.org/r/2022/04/12/evolution.html
Let's use the newer alternatives instead!


How to build a European-wide OSRM server on a desktop computer?

https://rcarto.github.io/posts/build_osrm_server/

OSRM is a routing software based on OpenStreetMap data. It can be used to find the fastest routes or compute time matrices.

This post describes how to set up this RAM-intensive software on a personal computer.

As a reward for a successful installation, I'm proposing a modest R package to create "All roads lead to ..." maps.

#rstats #rspatial #gischat #openstreetmap


Floris Vanderhaeghe (https://fosstodon.org/@florisvdh) explained quickly but extensively what is possible when using the qgisprocess R package.

"Interfacing QGIS processing algorithms from R"

Watch at: https://www.youtube.com/watch?v=Qt5DzWThWqI

#rstats #rspatial #qgis


Visualizing distributions and uncertainty using the {ggdist} #RStats
5-minute YouTube video from last year's RStudio Conference (2022): https://www.youtube.com/watch?v=ChwczkfFsXM&list=PL9HYL-VRX0oTw-6TQri7Fr97G3IX0tHh8&index=277
Presentation materials: https://www.mjskay.com/presentations/rstudio-conf-2022-talk.pdf

By @mjskay

#dataviz #ggplot #ggplot2 @rstats


Compilation of interesting tutorials on processing large Earth Observation (EO) data in R using {rstac}, {gdalcubes}, {openEO} and {sits}.
Link: https://github.com/r-spatial/discuss/issues/56#issuecomment-1742136917

#rstats #rspatial #gischat


🎥 A few weeks ago I gave an improvised talk "Sharing your geospatial knowledge in the open" -- it shows how to create #quarto slides, websites, and books in the context of #openscience and #foss4g software.🎥

You can watch it at https://www.youtube.com/live/AUt-GOZJQaY?feature=shared&t=323.

#rstats #rspatial #openscience


Hey #rstats / #rspatial folks!

I'm working on tutorials for downloading data from STAC APIs, like Planetary Computer. I'd highly appreciate folks taking look at this draft tutorial and letting me know what they think -- what works, what doesn't, what questions do you still have?

Input from folks of all familiarity highly, highly appreciated!

https://mikemahoney218.github.io/stac-sprint-tutorials/rstac.html

#GISChat

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