#climateofcalgary — Public Fediverse posts

🏡 Here is the data analysis for Calgary, Summer 2025. This chart shows the relationship between vegetation density (NDVI) and Land Surface Temperature (LST).

🔥 The data reveals a critical "tipping point": vegetation only starts effectively cooling the environment once it reaches a specific density threshold. Below this threshold (the left side of the curve), green spaces stay just as hot as the surrounding concrete.
Sparse or isolated trees don't act as air conditioners—they "burn" in the urban furnace right along with us.

❗ What does this mean for Calgary? Simply planting a few scattered trees isn't enough. To actually move the needle on temperature, we need dense, healthy green belts. Otherwise, it’s just a waste of water and resources.

🔗 Link to the research: https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/

#Calgary #UrbanHeatIsland #NDVI #ClimateChange #UrbanPlanning #DataScience #Environment #YYC #BigData #ScienceMatters #GreennessOfCalgary #ClimateOfCalgary #rstats #RemoteSensing #OpenScience

How hot was Calgary's neighborhood in 2025? 🛰️🌡️

I processed satellite data from last summer to see how Calgary’s communities handle the heat. It turns out that not all greenery is equal. My research shows a clear "breakpoint" where the density of vegetation actually starts to drop the surface temperature.

I’ve mapped the "Hottest" and "Coolest" communities — see where yours stands and why some "green" areas are still overheating.

Full article and maps here:
https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/

#RemoteSensing #Rstats #GreennesOfCalgary #ClimateOfCalgary #OpenData #FOSSGIS #ClimateResilence #Landsat #Sentinel2 #Calgary #Alberta #Canada #YYC #LST #NDVI

How hot was Calgary's neighborhood in 2025? 🛰️🌡️

I processed satellite data from last summer to see how Calgary’s communities handle the heat. It turns out that not all greenery is equal. My research shows a clear "breakpoint" where the density of vegetation actually starts to drop the surface temperature.

I’ve mapped the "Hottest" and "Coolest" communities — see where yours stands and why some "green" areas are still overheating.

Full article and maps here:
https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/

#RemoteSensing #Rstats #GreennesOfCalgary #ClimateOfCalgary #OpenData #FOSSGIS #ClimateResilence #Landsat #Sentinel2 #Calgary #Alberta #Canada #YYC #LST #NDVI

How hot was Calgary's neighborhood in 2025? 🛰️🌡️

I processed satellite data from last summer to see how Calgary’s communities handle the heat. It turns out that not all greenery is equal. My research shows a clear "breakpoint" where the density of vegetation actually starts to drop the surface temperature.

I’ve mapped the "Hottest" and "Coolest" communities — see where yours stands and why some "green" areas are still overheating.

Full article and maps here:
https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/

#RemoteSensing #Rstats #GreennesOfCalgary #ClimateOfCalgary #OpenData #FOSSGIS #ClimateResilence #Landsat #Sentinel2 #Calgary #Alberta #Canada #YYC #LST #NDVI

How hot was Calgary's neighborhood in 2025? 🛰️🌡️

I processed satellite data from last summer to see how Calgary’s communities handle the heat. It turns out that not all greenery is equal. My research shows a clear "breakpoint" where the density of vegetation actually starts to drop the surface temperature.

I’ve mapped the "Hottest" and "Coolest" communities — see where yours stands and why some "green" areas are still overheating.

Full article and maps here:
https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/

#RemoteSensing #Rstats #GreennesOfCalgary #ClimateOfCalgary #OpenData #FOSSGIS #ClimateResilence #Landsat #Sentinel2 #Calgary #Alberta #Canada #YYC #LST #NDVI

How hot was Calgary's neighborhood in 2025? 🛰️🌡️

I processed satellite data from last summer to see how Calgary’s communities handle the heat. It turns out that not all greenery is equal. My research shows a clear "breakpoint" where the density of vegetation actually starts to drop the surface temperature.

I’ve mapped the "Hottest" and "Coolest" communities — see where yours stands and why some "green" areas are still overheating.

Full article and maps here:
https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/

#RemoteSensing #Rstats #GreennesOfCalgary #ClimateOfCalgary #OpenData #FOSSGIS #ClimateResilence #Landsat #Sentinel2 #Calgary #Alberta #Canada #YYC #LST #NDVI

To distinguish between "normal" and anomalous surface temperatures in Calgary in 2025, I applied Tukey’s method. The statistical distribution shows a negative skewness (coefficient ≈−0.59).

This highlights a critical phenomenon: the vast majority of the urban area is densely clustered in the warmer temperature range. In contrast, cool refuges (the rivers, reservoir, and dense parks) are statistically scarce, forming a long "tail" on the left side of the plot. In essence, Calgary’s baseline is shifted toward higher temperatures, making Urban Cool Islands a rare and vital resource.

I would like to remind my readers and followers that I am currently preparing a comprehensive article based on these research results. In it, I will explore the ecological and geochemical implications of this thermal distribution. Stay tuned for further updates!

#YYC #Calgary #ClimateResilience #UrbanHeatIsland #DataAnalytics #RemoteSensing #Landsat #OpenData #CitizenScience #LST #ClimateOfCalgary #Landsat #Rstats

To distinguish between "normal" and anomalous surface temperatures in Calgary in 2025, I applied Tukey’s method. The statistical distribution shows a negative skewness (coefficient ≈−0.59).

This highlights a critical phenomenon: the vast majority of the urban area is densely clustered in the warmer temperature range. In contrast, cool refuges (the rivers, reservoir, and dense parks) are statistically scarce, forming a long "tail" on the left side of the plot. In essence, Calgary’s baseline is shifted toward higher temperatures, making Urban Cool Islands a rare and vital resource.

I would like to remind my readers and followers that I am currently preparing a comprehensive article based on these research results. In it, I will explore the ecological and geochemical implications of this thermal distribution. Stay tuned for further updates!

#YYC #Calgary #ClimateResilience #UrbanHeatIsland #DataAnalytics #RemoteSensing #Landsat #OpenData #CitizenScience #LST #ClimateOfCalgary #Landsat #Rstats

To distinguish between "normal" and anomalous surface temperatures in Calgary in 2025, I applied Tukey’s method. The statistical distribution shows a negative skewness (coefficient ≈−0.59).

This highlights a critical phenomenon: the vast majority of the urban area is densely clustered in the warmer temperature range. In contrast, cool refuges (the rivers, reservoir, and dense parks) are statistically scarce, forming a long "tail" on the left side of the plot. In essence, Calgary’s baseline is shifted toward higher temperatures, making Urban Cool Islands a rare and vital resource.

I would like to remind my readers and followers that I am currently preparing a comprehensive article based on these research results. In it, I will explore the ecological and geochemical implications of this thermal distribution. Stay tuned for further updates!

#YYC #Calgary #ClimateResilience #UrbanHeatIsland #DataAnalytics #RemoteSensing #Landsat #OpenData #CitizenScience #LST #ClimateOfCalgary #Landsat #Rstats

To distinguish between "normal" and anomalous surface temperatures in Calgary in 2025, I applied Tukey’s method. The statistical distribution shows a negative skewness (coefficient ≈−0.59).

This highlights a critical phenomenon: the vast majority of the urban area is densely clustered in the warmer temperature range. In contrast, cool refuges (the rivers, reservoir, and dense parks) are statistically scarce, forming a long "tail" on the left side of the plot. In essence, Calgary’s baseline is shifted toward higher temperatures, making Urban Cool Islands a rare and vital resource.

I would like to remind my readers and followers that I am currently preparing a comprehensive article based on these research results. In it, I will explore the ecological and geochemical implications of this thermal distribution. Stay tuned for further updates!

#YYC #Calgary #ClimateResilience #UrbanHeatIsland #DataAnalytics #RemoteSensing #Landsat #OpenData #CitizenScience #LST #ClimateOfCalgary #Landsat #Rstats

To distinguish between "normal" and anomalous surface temperatures in Calgary in 2025, I applied Tukey’s method. The statistical distribution shows a negative skewness (coefficient ≈−0.59).

This highlights a critical phenomenon: the vast majority of the urban area is densely clustered in the warmer temperature range. In contrast, cool refuges (the rivers, reservoir, and dense parks) are statistically scarce, forming a long "tail" on the left side of the plot. In essence, Calgary’s baseline is shifted toward higher temperatures, making Urban Cool Islands a rare and vital resource.

I would like to remind my readers and followers that I am currently preparing a comprehensive article based on these research results. In it, I will explore the ecological and geochemical implications of this thermal distribution. Stay tuned for further updates!

#YYC #Calgary #ClimateResilience #UrbanHeatIsland #DataAnalytics #RemoteSensing #Landsat #OpenData #CitizenScience #LST #ClimateOfCalgary #Landsat #Rstats

🌡️ How has Calgary’s April temperature varied over the years?

Using hourly data from the CALGARY INTL weather station (METAR archive, 2009–2025), I analysed how April air-temperature distributions shift from year to year.

Each panel shows the probability density of all measurements for that month, with the red dashed line marking the arithmetic mean.

This work is part of my ongoing, data-driven examination of local climate behaviour using R.
Follow #ClimateOfCalgary for more.

#RStats #DataVisualization #OpenData #ClimateData #WeatherAnalysis #Calgary #DataScience #Environment #Alberta #Canada #METAR #AviationWeather #UrbanClimate #ggplot2 #YYC

🌡️ How has Calgary’s March temperature varied over the years?

Using hourly data from the CALGARY INTL weather station (METAR archive, 2009–2025), I examined how March air-temperature distributions change from year to year.

Each panel shows the probability density of all measurements for that month — with the red dashed line indicating the arithmetic mean.

This analysis is part of my ongoing, data-driven exploration of local climate behaviour using R.
Follow #ClimateOfCalgary for upcoming posts.

#RStats #DataVisualization #OpenData #ClimateData #WeatherAnalysis #Calgary #DataScience #Environment #Alberta #Canada #METAR #AviationWeather #UrbanClimate #ggplot2

🌡️ How has Calgary’s February temperature changed over the years?

Using hourly data from the CALGARY INTL weather station (METAR archive, 2009–2025), I looked at how February air-temperature distributions evolve from year to year.

Each panel shows the probability density of all measurements for that month — with the red dashed line marking the arithmetic mean.

This work is part of my ongoing, data-driven exploration of local climate patterns with R.
Follow #ClimateOfCalgary for more.

#RStats #DataVisualization #OpenData #ClimateData #WeatherAnalysis #Calgary #DataScience #Environment #Alberta #Canada #METAR #AviationWeather #UrbanClimate #ggplot2

🌡️ How has Calgary’s January temperature varied over the years?

Using hourly data from the CALGARY INTL weather station (METAR archive, 2009–2025), I examined how January air-temperature distributions change from year to year.

Each panel shows the probability density of all measurements for that month — with the red dashed line marking the arithmetic mean.

This is part of my ongoing, data-driven look at local climate behaviour using the R programming language.
Follow #ClimateOfCalgary if you're interested in more.

#Rstats #DataVisualization #OpenData #ClimateData #WeatherAnalysis #Calgary #DataScience #Environment #Alberta #Canada #METAR #AviationWeather #UrbanClimate

📌 Thematic hashtags I use in my Mastodon posts

To help readers navigate the different topics I work on, I use several specialized hashtags.
Here is a short overview of each one:

#GreennessOfCalgary — my project on analyzing the vegetation patterns and green spaces of Calgary using remote sensing, classification, and cartography.

#ClimateOfCalgary — visualization and analysis of local meteorological data.

#SvystunovaGully — materials from my Independent long-term study of geochemical processes in groundwater around a high-mineralized mine-water impoundment in Svystunova Gully (https://doi.org/10.5281/zenodo.15528794).

#InhuletsRiver — posts related to the research project on the technogenic impact on the Inhulets River (Kryvyi Rih, Ukraine), in which I take part.

#GeoDataArt #GeoSpectralArt — beautiful images that emerge during the analysis of satellite data.

The list will expand as my projects evolve.

A small result from analyzing a long series of meteorological observations for Calgary.

The openair package makes it surprisingly straightforward to combine space–time interpolation and visualization within a single workflow, even for large datasets.

Here are the sectoral (wind direction × wind speed) mean air temperatures for Calgary.

What’s striking is how clearly the seasonal patterns emerge:
– a cold north-east sector in winter;
– a warm southern and southwestern sector in summer;
– transitional zones in spring and autumn;
– a strong Chinook influence from the southwest.

The polar format works exceptionally well here — the structure of the local climate becomes obvious at a glance, without the need for long tables or detailed descriptions.

Follow the #ClimateOfCalgary hashtag.

#Rstats #DataVisualization #OpenData #ClimateData #WeatherAnalysis #Calgary #DataScience #Environment #Research #Alberta #Canada #UrbanHealth #METAR #AviationWeather #Meteorology #DataAnalysis #WindRose #Chinook #WindDirection

🌡️ How has Calgary’s June and July temperature changed over the years?

Using data from the Calgary International Airport meteostation (METAR archive, 2009–2025), I analyzed the monthly air temperature distributions for June.
Each panel shows the probability density of hourly temperature readings — with the red dashed line marking the arithmetic mean.

The work is part of my ongoing data-driven exploration of local climate trends using the R programming language. Follow the #ClimateOfCalgary hashtag.

📊 It’s not just about numbers — it’s about seeing how the “shape” of weather evolves.

#ClimateOfCalgary #Rstats #DataVisualization #OpenData #ClimateData #WeatherAnalysis #Calgary #DataScience #Environment #Research #Alberta #Canada #UrbanHealth #METAR #AviationWeather