Toots for nowosad@fosstodon.org account

Written by Jakub Nowosad on 2025-02-05 at 15:00

Need fast raster processing in R? πŸš€

Check out {fasterRaster} by Adam B. Smith, an R package designed for large spatial rasters and vectors through GRASS GIS, built to complement {terra} & {sf} 🌍

Learn more: https://buff.ly/4htiGTR

[#]rspatial #rstats #GIS #grassgis

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Written by Jakub Nowosad on 2025-02-02 at 15:00

The shapefiles are gone! πŸŽ‰

The {spData} package has officially dropped all datasets in the shapefile format, moving toward modern and efficient geospatial data standards. πŸš€πŸŒ

Upgrade your workflows with {spData}: https://buff.ly/4htZ5D3

[#]rspatial #rstats #GIS #Geocompx

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Written by Jakub Nowosad on 2025-01-30 at 15:00

Introducing {wbw}, a new geospatial powerhouse in the R ecosystem by Anatolii Tsyplenkov! 🌍⚑

{wbw} provides R bindings for Whitebox Workflows for Pythonβ€”a fast & powerful library for hydrology, geomorphometry, remote sensing, and more (raster, vector, LiDAR).

Check it out: https://buff.ly/4gaWbCe

[#]rspatial #rstats #geocompx #GIS

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Written by Jakub Nowosad on 2025-01-29 at 15:00

🚨 After years of development, the new version of #rstats tmap (4) is now available on CRAN! πŸŽ‰ Huge thanks to author Martijn Tennekes and all contributors.

πŸ”§ Install: install.packages("tmap")

πŸ“š Vignettes: https://buff.ly/4aAYNbq

πŸ“– Book Chapter: https://buff.ly/43TokaF

[#]maps #tmap #rspatial

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Written by Jakub Nowosad on 2025-01-27 at 15:00

🌍 Excited to share the 1st edition of Geocomputation with Python is complete! πŸ“–

Learn geospatial with Pythonβ€”from vectors to rasters.

Read it online: https://buff.ly/3NK2uBq

Get the book: https://buff.ly/42t4dD7

Blog post: https://buff.ly/42s5fiN

Open-source + community-driven!

[#]geocompx #geopython #GIS #SpatialData

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Written by Jakub Nowosad on 2025-01-14 at 14:00

Can #rstats move Antarctica to the north pole? Of course.

Check Michael Sumner solution at https://buff.ly/3ZkHK8l

[#]rspatial #maps

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Written by Jakub Nowosad on 2025-01-12 at 15:00

This review provides an overview of recent developments in computational methods in #LandscapeEcology

It covers topics like spatial patterns, connectivity, landscape genetics, and more.

Read the full paper: https://buff.ly/41xU6wx

[#]Ecology #ComputationalMethods #Research

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Written by Jakub Nowosad on 2025-01-09 at 14:00

Looking for resources from the previous edition of the OpenGeoHub Summer School (2023)?

Tutorials, code, and recordings for Python, R, and Julia are available at https://buff.ly/44uKIaT

[#]rspatial #geopython #juliageo

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Written by Jakub Nowosad on 2025-01-07 at 14:00

If you need a quick, but fairly deep introduction to GeoParquet -- I recommend you to listen to an episode of the MapScaping podcast with Kyle Barron.

https://buff.ly/3D23bn7

[#]gischat #rspatial #geopython

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Written by Jakub Nowosad on 2025-01-05 at 14:00

πŸŒπŸ“Š OpenGeoHub Summer School 2025

"Data Science for Earth Observation: Hands-on Training in Python, R, and Julia."

Workshops, ML competitions, demos, and more!

πŸ“… 1-6 Sept 2025 | πŸ“ Wageningen, Netherlands

πŸ”— Apply by 18 Jan 2025: https://buff.ly/41C8y6y

[#]EarthObservation #DataScience #gischat

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Written by Jakub Nowosad on 2024-12-18 at 16:00

Want to showcase your work on #MachineLearning in #Geography? 🌍

Submit to Erdkunde's Special Issue: Machine Learning in Geography – Challenges & Perspectives.

πŸ”— More info: https://buff.ly/3VLlPGq

[#]ml #spatialml #gischat

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Written by Jakub Nowosad on 2024-12-15 at 14:00

πŸ‡―πŸ‡΅ Geocomputation with R is also available in Japanese. πŸ‡―πŸ‡΅

Read it at https://buff.ly/4f8dkfp

[#]rstats #rspatial #geocompx

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Written by Jakub Nowosad on 2024-12-12 at 14:00

🌌 Two blog posts about simulating spatial patterns with the kinetic Ising model.🌌

Part 1: https://buff.ly/3vbhvFJ

Part 2: https://buff.ly/3RNy1Ue

[#]rstats #rspatial #spatialpatterns

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Written by Jakub Nowosad on 2024-12-10 at 14:00

"Exploration of spatial patterns in raster data" -- a talk about methods to describe, compare, and analyze spatial patterns.

Slides: https://buff.ly/3P3pnQF

[#]rstats #rspatial #gischat #spatialecology

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Written by Jakub Nowosad on 2024-12-08 at 14:00

Advancing geocomputation through open-source software! πŸ—ΊοΈ

Consider supporting our continued development of free, powerful spatial analysis resources, such as Geocomputation with R.

Learn how to contribute at https://buff.ly/3OMFPUU

[#]rstats #rspatial #geopython #gecompx

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Written by Jakub Nowosad on 2024-12-04 at 14:00

The tmap R package now allows to add world borders to many standard projections.

Read more about it at: https://buff.ly/3ActgyD

[#]rstats #rspatial #tmap

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Written by Jakub Nowosad on 2024-11-28 at 14:00

"Ising on the Cake" a blog post by John Peach about the Ising model, including various further references.

Read it at https://buff.ly/4h9aAkc

[#]isingmodel #spatialsimulations

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Written by Jakub Nowosad on 2024-11-21 at 14:00

πŸ‘‹ A regular reminder: CRAN Task View: Analysis of Spatial Data is always open for contributions!πŸ‘‹

Let us know about great tools for working with spatial data in R!

https://buff.ly/487HU6S

[#]rstats #rspatial #CRAN

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Written by Jakub Nowosad on 2024-11-19 at 15:00

"Machine Learning Approaches for Working with Spatial Data"

Learn how to adapt your #machinelearning workflows for spatial data using #rstats and #rspatial.

Covers spatial feature engineering, cross-validation, and model explainability.

Url: https://buff.ly/4fCOd56

[#]3RqueR #RtieneuncoloRespecial

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Written by Jakub Nowosad on 2024-11-17 at 16:00

πŸ”₯ The final blog post in my series on methods for comparing spatial patterns discusses its properties, applications, and extensions.πŸ”₯

Read it at https://buff.ly/40NozWQ

[#]spatialpatterns #gischat #geospatial

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