Eugene
@datastory@mstdn.ca
🌍 Geoscientist | Environmental Geospatial Modeler Exploring how landscapes think — through data, chemistry, and terrain. I work at the crossroads of hydrogeochemistry, remote sensing, and GIS-based environmental modelling. Mostly self-directed research: from asking real-world questions to building geospatial models and visual narratives that connect science and society. I’m not a “tool user” — I’m a systems thinker with a geochemical compass and a data-driven map.
mstdn.ca
Eugene
@datastory@mstdn.ca
🌍 Geoscientist | Environmental Geospatial Modeler Exploring how landscapes think — through data, chemistry, and terrain. I work at the crossroads of hydrogeochemistry, remote sensing, and GIS-based environmental modelling. Mostly self-directed research: from asking real-world questions to building geospatial models and visual narratives that connect science and society. I’m not a “tool user” — I’m a systems thinker with a geochemical compass and a data-driven map.
mstdn.ca
@datastory@mstdn.ca
·
Apr 16, 2026
It is a common belief that higher elevations are naturally cooler. In pristine landscapes, this rule holds firm. But what about urban environments? Humanity moves vast amounts of matter and energy, sometimes fundamentally altering the thermodynamic parameters of our habitat.
🛰️ I correlated summer Land Surface Temperature (LST) data across Calgary’s neighborhoods with the Canadian Medium-Resolution Digital Elevation Model (MRDEM). The chart below illustrates the relationship between "Average Elevation" and "Average Surface Temperature" specifically for established residential communities. As observed, this relationship is notably weak, even though a slight cooling trend persists. Based on my data analysis, elevation above sea level is not a key factor in cooling the city.
#Calgary #OpenData #UrbanHeat #DataScience #ClimateAction #YYC #GreennesOfCalgary #ClimateEquity #EnvironmentalEquity #CityPlanning #RemoteSensing #RStats #Landsat #fossgis #DigitalElevationModel
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Eugene
@datastory@mstdn.ca
🌍 Geoscientist | Environmental Geospatial Modeler Exploring how landscapes think — through data, chemistry, and terrain. I work at the crossroads of hydrogeochemistry, remote sensing, and GIS-based environmental modelling. Mostly self-directed research: from asking real-world questions to building geospatial models and visual narratives that connect science and society. I’m not a “tool user” — I’m a systems thinker with a geochemical compass and a data-driven map.
mstdn.ca
Eugene
@datastory@mstdn.ca
🌍 Geoscientist | Environmental Geospatial Modeler Exploring how landscapes think — through data, chemistry, and terrain. I work at the crossroads of hydrogeochemistry, remote sensing, and GIS-based environmental modelling. Mostly self-directed research: from asking real-world questions to building geospatial models and visual narratives that connect science and society. I’m not a “tool user” — I’m a systems thinker with a geochemical compass and a data-driven map.
mstdn.ca
@datastory@mstdn.ca
·
Mar 25, 2026
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
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