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Items tagged with: rspatial


Day 3 #30dayMapChallenge polygons: Roman dioceses under the Emperor Diocletian, r. 286–305, with dioceses divided into further provinces. The boundaries of these are almost all approximate. The data comes from the Ancient World Mapping Center as it did for my day 2 maps. The diocese labels are based on centroids of the polygons and may be a bit difficult to read. Oh well.

Data: https://github.com/AWMC/geodata
Code: https://github.com/jessesadler/30daymapchallenge/blob/main/3-polygons.R

#rspatial #DigitalHumanities #DigitalHistory


I am so, so excited to share that I've got a new #rstats package, {rsi}, on GitHub

{rsi} helps you:

- Download data from STAC APIs
- Compute indices from the Awesome Spectral Indices project
- Wrangle multiple rasters into predictor bricks without duplicating data

Get the package (and leave us a star!) at:
https://github.com/Permian-Global-Research/rsi

Blog post hitting the highlights at:
https://www.mm218.dev/posts/2023-10-26-rsi/

#rspatial


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


As previously announced, maptools, rgdal, rgeos and rgrass7 have been archived by CRAN at my request. Some turbulence may be expected as about 80 packages with remaining strong dependencies on the archived packages also are archived. I'm very grateful to many maintainers who have responded to requests to update in time., #rspatial see https://stat.ethz.ch/pipermail/r-sig-geo/2023-October/029350.html


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


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


⚠️ rgdal, rgeos, and maptools won’t be available on CRAN after October 2023. ⚠️

What are the consequences of this change? What do you need to do as a user and
as a developer?

Read my blog post at https://geocompx.org/post/2023/rgdal-retirement/
[https://geocompx.org/post/2023/rgdal-retirement/]

#rstats [https://fosstodon.org/tags/rstats] #rspatial
[https://fosstodon.org/tags/rspatial] #gischat
[https://fosstodon.org/tags/gischat] #geocompx
[https://fosstodon.org/tags/geocompx]

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