home.social

#tidyverse — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #tidyverse, aggregated by home.social.

fetched live
  1. Does urban greenery yield microclimatic cooling? Spatial analysis of Calgary (Summer 2025) shows a non-linear NDVI vs LST response.

    🛠 Stack: Google Earth Engine (Landsat 8/9, Sentinel-2) + R (terra, tidyverse).

    📊 Key Findings:
    🔹 Cooling Deficit (NDVI < 0.34): LST stays trapped at 35–36°C. Heat stress overrides evapotranspiration; saplings & isolated lawns fail to cool.
    🔹 Tipping Point (NDVI > 0.34): Cooling begins above 0.34. Dense canopy (NDVI > 0.70) suppresses LST below 28–30°C (6–8°C delta).

    💡 Takeaway: Urban forestry can't just count saplings. Without threshold canopy density, isolated greenery is decoration, not climate infrastructure.

    🔗 Link to the research:
    datastory.org.ua/calgarys-summ

    #RemoteSensing #GIS #RStats #rspatial #terra #tidyverse #GoogleEarthEngine #UrbanForestry #Calgary #YYC #OpenData #GreennessOfCalgary #FOSSGIS #Landsat #Sentinel2

  2. Does urban greenery yield microclimatic cooling? Spatial analysis of Calgary (Summer 2025) shows a non-linear NDVI vs LST response.

    🛠 Stack: Google Earth Engine (Landsat 8/9, Sentinel-2) + R (terra, tidyverse).

    📊 Key Findings:
    🔹 Cooling Deficit (NDVI < 0.34): LST stays trapped at 35–36°C. Heat stress overrides evapotranspiration; saplings & isolated lawns fail to cool.
    🔹 Tipping Point (NDVI > 0.34): Cooling begins above 0.34. Dense canopy (NDVI > 0.70) suppresses LST below 28–30°C (6–8°C delta).

    💡 Takeaway: Urban forestry can't just count saplings. Without threshold canopy density, isolated greenery is decoration, not climate infrastructure.

    🔗 Link to the research:
    datastory.org.ua/calgarys-summ

    #RemoteSensing #GIS #RStats #rspatial #terra #tidyverse #GoogleEarthEngine #UrbanForestry #Calgary #YYC #OpenData #GreennessOfCalgary #FOSSGIS #Landsat #Sentinel2

  3. Do you need better performance than what the standard #tidyverse functions have? {collapse} might be worth a look: sebkrantz.github.io/collapse/ #rstats #optimization

  4. Do you need better performance than what the standard #tidyverse functions have? {collapse} might be worth a look: sebkrantz.github.io/collapse/ #rstats #optimization

  5. Choosing the wrong join can silently remove observations, duplicate rows, or introduce missing values into your data.

    More info in the latest Statistics Globe Hub module: statisticsglobe.com/hub

    #rstats #datascience #statistics #programming #tidyverse #dplyr #analytics #statisticsglobehub

  6. Choosing the wrong join can silently remove observations, duplicate rows, or introduce missing values into your data.

    More info in the latest Statistics Globe Hub module: statisticsglobe.com/hub

    #rstats #datascience #statistics #programming #tidyverse #dplyr #analytics #statisticsglobehub

  7. Sé que el tidyverse y ggolot son dos motivos por los que hay mucha gente usa R.

    En Julia existe Tidier.jl y es magnífico:

    tidierorg.github.io/Tidier.jl/

    Une la sencillez del tidyverse con la rapidez y flexibilidad de Julia. Son una decena de paquetes que permiten replicar la experiencia de R (pero mejor 😉).

    #julialang #tidyverse #tidierjl

  8. Sé que el tidyverse y ggolot son dos motivos por los que hay mucha gente usa R.

    En Julia existe Tidier.jl y es magnífico:

    tidierorg.github.io/Tidier.jl/

    Une la sencillez del tidyverse con la rapidez y flexibilidad de Julia. Son una decena de paquetes que permiten replicar la experiencia de R (pero mejor 😉).

    #julialang #tidyverse #tidierjl

  9. This week we released the #maps module in #ggplot2 uncharted — and we cover a loooooot of maps in the 4 lessons and 19 exercises!

    ... and this collection doesn't even feature each 👀

    As usual, the first lesson is available for everyone 🤙
    www.ggplot2-uncharted.com/module5/spat...

    #rstats #tidyverse

  10. This week we released the #maps module in #ggplot2 uncharted — and we cover a loooooot of maps in the 4 lessons and 19 exercises!

    ... and this collection doesn't even feature each 👀

    As usual, the first lesson is available for everyone 🤙
    www.ggplot2-uncharted.com/module5/spat...

    #rstats #tidyverse