#tidyverse — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #tidyverse, aggregated by home.social.
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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:
https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/#RemoteSensing #GIS #RStats #rspatial #terra #tidyverse #GoogleEarthEngine #UrbanForestry #Calgary #YYC #OpenData #GreennessOfCalgary #FOSSGIS #Landsat #Sentinel2
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At first glance, bar charts might seem like a simple visualization type. But with a little creativity, they can be enhanced in countless ways to reveal deeper insights and make your data shine.
The attached visual highlights a variety of bar chart styles to inspire your work.
Take a look here for more details: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r
#datastructure #data #tidyverse #rstats #package #datasciencetraining
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Creating publication-ready plots in R is easier than ever with ggpubr. This extension for ggplot2 simplifies the process of generating clean and professional graphics, especially for exploratory data analysis and reporting.
Course link: https://statisticsglobe.com/online-course-data-visualization-ggplot2-r
#dataanalytics #rstats #dataanalytic #datavisualization #package #datasciencetraining #visualanalytics #datastructure #tidyverse #ggplot2
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Hey, I've created a tutorial on how to calculate multiple summary statistics using the R programming language. The tutorial shows examples for Base R & the dplyr package: https://statisticsglobe.com/calculate-multiple-summary-statistics-r