#fossgis — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #fossgis, aggregated by home.social.
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Which Calgary neighborhoods are best built to withstand summer heatwaves? 🌳☀️
To measure structural climate resilience across the city, I conducted a spatial analysis of 193 established residential communities, calculating the Solid-to-Tree Ratio—comparing bare artificial surfaces (asphalt, concrete, rooftops) directly against total tree canopy area.
Here are the Top 10 most shade-rich and climate-resilient communities in Calgary:
🟢 Queens Park Village — 0.3 (Just 0.3 ha of hard surface for every 1 ha of canopy!)
🟢 Discovery Ridge — 0.5
🟢 Roxboro — 0.5
🟢 Wildwood — 0.6
🟢 Rideau Park — 0.7
🟢 Medicine Hill — 0.8
🟢 Upper Mount Royal — 0.8
🟢 Crestmont — 0.9
🟢 Elbow Park — 0.9
🟢 Shaganappi — 0.9👇 The full interactive dataset and study are here:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/#UrbanAnalytics #GeospatialData #RemoteSensing #GIS #UrbanForestry #CityPlanning #Calgary #DataScience #Microclimate #MachineLearning #GreennessOfCalgary #RStats #FOSSGIS
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Which Calgary neighborhoods are best built to withstand summer heatwaves? 🌳☀️
To measure structural climate resilience across the city, I conducted a spatial analysis of 193 established residential communities, calculating the Solid-to-Tree Ratio—comparing bare artificial surfaces (asphalt, concrete, rooftops) directly against total tree canopy area.
Here are the Top 10 most shade-rich and climate-resilient communities in Calgary:
🟢 Queens Park Village — 0.3 (Just 0.3 ha of hard surface for every 1 ha of canopy!)
🟢 Discovery Ridge — 0.5
🟢 Roxboro — 0.5
🟢 Wildwood — 0.6
🟢 Rideau Park — 0.7
🟢 Medicine Hill — 0.8
🟢 Upper Mount Royal — 0.8
🟢 Crestmont — 0.9
🟢 Elbow Park — 0.9
🟢 Shaganappi — 0.9👇 The full interactive dataset and study are here:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/#UrbanAnalytics #GeospatialData #RemoteSensing #GIS #UrbanForestry #CityPlanning #Calgary #DataScience #Microclimate #MachineLearning #GreennessOfCalgary #RStats #FOSSGIS
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@CoMaps probably a bit off-topic seeing the two options you are considering, but have CoMaps contributors thought of joining @osgeo ? Or would such a routing app be out of scope for OSGeo?
To me it would make sense. Apps like CoMaps and OsmAnd present spatial data but also generate and analyse it to some extent (via OSM contributions, recording of POIs and visualisation + analysis of GPS traces.
#fossgis -
@CoMaps probably a bit off-topic seeing the two options you are considering, but have CoMaps contributors thought of joining @osgeo ? Or would such a routing app be out of scope for OSGeo?
To me it would make sense. Apps like CoMaps and OsmAnd present spatial data but also generate and analyse it to some extent (via OSM contributions, recording of POIs and visualisation + analysis of GPS traces.
#fossgis -
🌳 Is Calgary actually as green as it looks?
While open lawns (28.6% citywide) give Calgary a visual "green appearance", dry summer conditions quickly strip unirrigated grass of its cooling capacity. Meanwhile, true cooling infrastructure — dense and sparse tree canopy — accounts for only ~17%.
To quantify structural heat risks, I introduced the Solid-to-Tree Ratio index across 193 residential communities:
🔹 Critical Deficit: Downtown Core (56.2) and Beltline (24.6), where hard surfaces outnumber tree canopy by tens of times.
🔹 Suburban Pressure: New communities like Redstone (23.8) and Seton (20.8) feature high-density lots with minimal mature shade.
🔹 Ecological Buffers: River valley communities like Discovery Ridge (0.5) and Wildwood (0.6), where canopy exceeds concrete.👇 Link to the full study and interactive dataset:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #Alberta #Canada
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🌳 Is Calgary actually as green as it looks?
While open lawns (28.6% citywide) give Calgary a visual "green appearance", dry summer conditions quickly strip unirrigated grass of its cooling capacity. Meanwhile, true cooling infrastructure — dense and sparse tree canopy — accounts for only ~17%.
To quantify structural heat risks, I introduced the Solid-to-Tree Ratio index across 193 residential communities:
🔹 Critical Deficit: Downtown Core (56.2) and Beltline (24.6), where hard surfaces outnumber tree canopy by tens of times.
🔹 Suburban Pressure: New communities like Redstone (23.8) and Seton (20.8) feature high-density lots with minimal mature shade.
🔹 Ecological Buffers: River valley communities like Discovery Ridge (0.5) and Wildwood (0.6), where canopy exceeds concrete.👇 Link to the full study and interactive dataset:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #Alberta #Canada
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🌳 Quantifying Calgary’s Microclimatic Imbalance: The Solid-to-Tree Ratio
To evaluate the structural heat load across Calgary's communities, I calculated the ratio of high-thermal artificial surfaces to cooling tree canopy: Solid / (Park + Forest), based on my 2025 satellite land cover model (LULC v6.0).
Why this ratio matters:
🔹 Thermal Stress Indicator: It measures how many square meters of heat-absorbing surfaces (asphalt, concrete, roofs, bare soil) exist for every square meter of tree canopy.
🔹 Spatial Inequality: While mature western neighborhoods maintain ratios between 1.5 and 4, eastern and peripheral zones reach values from 10 to over 50.
🔹 Evidence-Based Planning: It moves the discussion from generic averages to identifying exact spatial boundaries where microclimatic mitigation is most needed.Note: The map uses a logarithmic scale.
#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #Sentinel1 #Sentinel2
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🌳 Quantifying Calgary’s Microclimatic Imbalance: The Solid-to-Tree Ratio
To evaluate the structural heat load across Calgary's communities, I calculated the ratio of high-thermal artificial surfaces to cooling tree canopy: Solid / (Park + Forest), based on my 2025 satellite land cover model (LULC v6.0).
Why this ratio matters:
🔹 Thermal Stress Indicator: It measures how many square meters of heat-absorbing surfaces (asphalt, concrete, roofs, bare soil) exist for every square meter of tree canopy.
🔹 Spatial Inequality: While mature western neighborhoods maintain ratios between 1.5 and 4, eastern and peripheral zones reach values from 10 to over 50.
🔹 Evidence-Based Planning: It moves the discussion from generic averages to identifying exact spatial boundaries where microclimatic mitigation is most needed.Note: The map uses a logarithmic scale.
#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #Sentinel1 #Sentinel2
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📊 Beyond Averages: Spatial Heterogeneity in Calgary (LULC v6.0)
Averages mask reality. To capture ecological stratification across Calgary's residential communities (excl. major parks/building-out and industrial zones), I combined Violin + Box Plots:
🔹 Solid (Impervious): Median ~67% (IQR 55–74%). High-thermal non-vegetated surfaces are a systemic structural feature across nearly all neighborhoods.
🔹 Park vs. Lawn (Canopy vs. Turf): Park median (~20%) doubles Lawn (~10%). A long upper tail (>50%) highlights spatial inequality in tree cover.
🔹 Forest & Water: Near 0% for 95% of communities, but sharp needles (up to 25% forest, 16% water) mark outliers with lakes or remnant woods.
💡 Takeaway: Calgary isn't homogenous—microclimatic comfort heavily depends on geographic boundaries.Full analysis coming soon: https://www.datastory.org.ua/
#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #OpenData #OpenSource #TreeEquity
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📊 Beyond Averages: Spatial Heterogeneity in Calgary (LULC v6.0)
Averages mask reality. To capture ecological stratification across Calgary's residential communities (excl. major parks/building-out and industrial zones), I combined Violin + Box Plots:
🔹 Solid (Impervious): Median ~67% (IQR 55–74%). High-thermal non-vegetated surfaces are a systemic structural feature across nearly all neighborhoods.
🔹 Park vs. Lawn (Canopy vs. Turf): Park median (~20%) doubles Lawn (~10%). A long upper tail (>50%) highlights spatial inequality in tree cover.
🔹 Forest & Water: Near 0% for 95% of communities, but sharp needles (up to 25% forest, 16% water) mark outliers with lakes or remnant woods.
💡 Takeaway: Calgary isn't homogenous—microclimatic comfort heavily depends on geographic boundaries.Full analysis coming soon: https://www.datastory.org.ua/
#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #OpenData #OpenSource #TreeEquity
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Hallo, ein kurzer Zwischenstand zur Ausschreibung. Uns haben über 170 Bewerbungen erreicht, davon sind wir ein wenig überwältigt. Wir lesen alle und planen für August Gespräche.
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Hallo, ein kurzer Zwischenstand zur Ausschreibung. Uns haben über 170 Bewerbungen erreicht, davon sind wir ein wenig überwältigt. Wir lesen alle und planen für August Gespräche.