From the @DSLC ​chives:

 Methods for Network Analysis: Finding Groups in Networks https://youtu.be/JyQ_wa-4b1U #RStats

 R for Data Science: Layers https://youtu.be/47Obi1Ua8-c #RStats

 Geocomputation w R: Geometry operations https://youtu.be/zM4X1TS_EyU #RStats #geocomputation

 Python for Data Analysis: Getting Started with pandas https://youtu.be/a59xpcWFfSQ #PyData

Support the Data Science Learning Community at https://patreon.com/DSLC

Methods for Network Analysis: Finding Groups in Networks (mnetanal01 14)

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From the @DSLC ​chives:

 ISLR: Deep Learning https://youtu.be/1D6plTaDvTU #RStats

 The Effect: An Introduction to Research Design and Causality: Finding Front Doors https://youtu.be/8RJxoOz2dyg #RStats #causal #causality

 Geocomputation w R: Statistical learning & Ecology https://youtu.be/ozXzmWtv1_g #geocomputation #RStats

Support the Data Science Learning Community at https://patreon.com/DSLC

ISLR: Deep Learning (islr01 10)

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From the @DSLC ​chives:

 Advanced R: Environments https://youtu.be/tuafimbMyKk #RStats

  Mastering Shiny: Why reactivity? https://youtu.be/i2_I0n_WcNI #PyData #PyShiny #RShiny #RStats

 Geocomputation w R: Geographic data I/O https://youtu.be/iTsKhe-Yleg #geocomputation #RStats

Visit https://dslc.video for hours of new #DataScience videos every week!

Advanced R Book Club: Environments (advr05 7)

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Recent @DSLC club meetings:

:python: Devops for Data Science: Enterprise Networking https://youtu.be/qvS_QimvtR4 #RStats #PyData #DevOps

From the @DSLC ​chives:

 Geocomputation w R: Statistical learning & Ecology https://youtu.be/ozXzmWtv1_g #geocomputation #RStats

 R for Data Science: Web scraping https://youtu.be/dOVWSSqUvt0 #RStats

Visit https://dslc.video for hours of new #DataScience videos every week!

Devops for Data Science: Enterprise Networking (do4ds02 15)

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From the @DSLC ​chives:

 Data Science at the Command Line: Docker Setup https://youtu.be/vw70FDfTE2c #RStats

 R for Data Science: Workflow Basics https://youtu.be/utmMd8QEq7Y #RStats

 R for Data Science: R Markdown https://youtu.be/wAzYA01hojo #RStats

 Geocomputation w R: Reprojecting geographic data https://youtu.be/RuvLbpyrDmU #geocomputation #RStats

Visit https://dslc.video for hours of new #DataScience videos every week!

Data Science at the Command Line: Docker Setup (dscl01 extra)

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From the @DSLC ​chives:

 ISLR: Classification Part 2 https://youtu.be/uf5wkpgJyN0 #RStats

 ISLR: Survival Analysis and Censored Data Part 2 https://youtu.be/EdNBZVNSXyA #RStats

 Geocomputation w R: Making maps with R https://youtu.be/fTv0vKC3vLU #geocomputation #RStats

 ggplot2: Elegant Graphics for Data Analysis: Individual geoms https://youtu.be/qhQrd0iZz_8 #RStats

Visit https://dslc.video for hours of new #DataScience videos every week!

ISLR: Classification Part 2 (islr03 4)

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From the @DSLC ​chives:

 Data Visualization with R: Maps https://youtu.be/YQXxJgvsgyc #dataVisualization #datavis #dataviz #RStats

 Geocomputation w R: Spatial data operations https://youtu.be/Rw2rcxjuMpw #RStats #geocomputation

 R Packages: The whole game https://youtu.be/WNIUmfvc5ws #RStats

Visit https://dslc.video for hours of new #DataScience videos every week!

Data Visualization with R: Maps (datavisr01 6)

Oluwafemi Oyedele presents Chapter 6 ("Maps") from Data Visualization with R by Rob Kabacoff on 2023-04-30, to the R4DS DavtaVisR Book Club, Cohort 1.Read al...

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We’ve updated the geocompx README.

Find guides, books, and tools for geocomputation in R, Python, and Julia — plus ways to get involved.

Take a look: https://github.com/geocompx

#Geocomputation #RStats #Python #OpenSource #geocompx

📦 New R package: sfhotspot by Matt Ashby

Identify & analyze spatial clusters of points (places/events) entirely with sf objects.
Includes tools for counts, change over time, kernel density, Getis–Ord Gi*, & classification.

🔗 GitHub: https://github.com/mpjashby/sfhotspot

#RStats #GISchat #Geocomputation #RSpatial

An intriguing point at the intersection of #geocomputation and #transportplanning: the intricacy of three-dimensional transport networks necessitates that certain paths from point A to point B become MultiLinestrings when converted to two-dimensional formats. Advice: review any processes that assume all routes are simple linestrings! For reproducible path including (two!) loops, refer to this link: https://www.cyclestreets.net/journey/122968651/#fastest