Cloud Gardens
Civic Square, in the top tier overall (score 45, rank ~88th percentile). Strongest: edge activation; weakest: natural comfort.
Photo by Donald Yap via Google Places · cached 5/9/2026
Cloud Gardens scores 44.5 / 100. Strongest dimensions: enclosure / eyes on park and edge activation. Weakest: amenity diversity (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 0.22 ha
Weighted across six dimensions · confidence 56%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Street context
Park polygon highlighted on the citywide map. Connectivity, transit, and edge conditions read at a glance.
Top-down view
City of Toronto orthophoto, ~8 cm/px. Reads the park’s footprint, paths, treed area, and edge conditions from above.
City of Toronto Orthophoto · cot_ortho most-current MapServer
Explain this score
Where did the 45 come from? Each weighted contribution against a neutral 50 baseline. Green = pushed up; red = pulled down.
Sum of contributions = the headline score. A negative bar means that dimension dragged the park below the city-wide neutral baseline.
Why this park works
What limits this park
Most distinctive characteristic
Jacobs reading
Tradeoffs
- 36 nearby towers cast wind and shadow without contributing canopy — passive surveillance is plentiful but human-scale comfort is not.
Performance in context
- A modest overperformer for its civic square typology (+8 vs the median in pocket Civic Square).
Typology classification
Classified as Civic Square: tower-walled, low canopy (0%), tight frontage — reads as a civic square
Edge Activation
Within 100 m of the park edge: 42 active uses (retail, restaurant, cafe, transit_stop) and 3 dead/hostile uses (highway). Active edges keep "eyes on the park" through the day; parking lots, blank institutional walls, rail and highway frontages drain street life.
Source: OSM POIs (amenity/shop) + Toronto Building Footprints + land use
Connectivity
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 9 sidewalk segments within 50 m; 4 street intersections within 100 m; 54 transit stops within a 400 m walk; 0 estimated access points across ~193 m of perimeter. low edge density — significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops
Amenity Diversity
No amenities recorded — score is 0 until inventory is loaded.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags
Natural Comfort
Natural-comfort components for this park: 0.0% estimated tree canopy; nearest waterbody ~1124 m. Reading: exposed. Source coverage: waterbodies. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).
Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory
Enclosure / Eyes on Park
71 buildings within 25 m of the park edge (35 mid-rise, 0 low-rise, 36 tower); avg edge height 61.0 m (~20 floors); 36.8 buildings per 100 m of 193 m perimeter — strong frontage density; edges dominated by towers; 36 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 35 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Park edges face the city — no significant border vacuum detected.
Source: Toronto Street Centreline (highways) + rail layer + OSM landuse + building footprints
Equity Context
Equity Context requires inputs not yet loaded for this park (Toronto Neighbourhood Profiles). Score is held at a neutral 50 with low confidence — read with caution.
Source: Toronto Neighbourhood Profiles
Amenities (0)
No amenities recorded for this park.
Nearby active-edge features (80)
- restaurant — Sorry I’ve Got Plants0 m
- restaurant — Zen Kyoto0 m
- restaurant — Pumpernickel’s0 m
- cafe — Tim Hortons2 m
- restaurant — Richmond Station3 m
- retail8 m
- restaurant — Yulla Sushi Asian Cuisine11 m
- restaurant — Chop Hop20 m
- transit stop — Yonge Street25 m
- restaurant — Bar Filo36 m
- restaurant — Sunset Grill37 m
- restaurant — Mean Bao38 m
- restaurant — Mado40 m
- retail40 m
- cafe — Dineen Coffee41 m
- cafe — Tim Hortons41 m
- restaurant — Kinton Ramon42 m
- restaurant — Leña47 m
- restaurant — Sud Forno48 m
- restaurant — Revitasize48 m
- transit stop — Richmond Street51 m
- highway — Yonge Street53 m
- retail — Scotiabank55 m
- transit stop — Richmond Street59 m
- restaurant — Jugo Juice61 m
- restaurant — Su&Bu67 m
- cafe — Second Cup70 m
- retail72 m
- highway — Yonge Street73 m
- restaurant — Subway74 m
- highway — Yonge Street75 m
- restaurant — Mamma’s Pizza75 m
- restaurant — McDonald's79 m
- retail — Nick’s Novelty83 m
- retail — FedEx Office84 m
- retail — Flight Centre84 m
- retail — Canna North Cannabis Store85 m
- cafe — Starbucks85 m
- transit stop — Entrance from Hudson's Bay (via PATH)85 m
- transit stop — Yonge / Queen Southwest Corner85 m
- retail — Popeye's Supplements91 m
- transit stop — Yonge Street96 m
- restaurant — Katana on Bay96 m
- retail — Elapra Shoes96 m
- retail99 m
- transit stop — Queen Street East100 m
- restaurant — Hot dog stand106 m
- restaurant — Speakeasy21108 m
- restaurant — Bannock Canadian Comfort Food111 m
- transit stop — Yonge / Queen Northwest Corner111 m
- transit stop — Adelaide Street West113 m
- retail — A & E Optical113 m
- transit stop — South Entrance from Eaton Centre (via PATH)113 m
- transit stop — Entrance from One Queen Street East (via PATH)114 m
- retail — 7-Eleven115 m
- retail — Ben McNally115 m
- restaurant — Bluestone Grill & Bar115 m
- restaurant — South Street Burger116 m
- restaurant — The Gabardine116 m
- retail — Cellicon118 m
- retail — Frank & Oak120 m
- retail — Rogers120 m
- transit stop — Queen Street West120 m
- transit stop — Queen Street East121 m
- retail — GNC124 m
- retail — Oakley124 m
- retail — Urban Philosophy125 m
- restaurant — Mercatto Restaurant125 m
- restaurant — Portico127 m
- cafe — Second Cup128 m
- restaurant — Turf Lounge129 m
- restaurant — Booster Juice129 m
- transit stop — Adelaide Street West130 m
- cafe — Hale Coffee130 m
- restaurant — Subway132 m
- retail — Godiva Chocolatier132 m
- retail — Kiehl's133 m
- retail — Armani Exchange133 m
- restaurant — Duke of Richmond133 m
- restaurant — Craft Beer Market133 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality88th
- Edge activation99th
- Connectivity37th
- Amenity diversity46th
- Natural comfort2th
- Enclosure67th
Most similar parks
Closest in metric space across the five structural dimensions.
- Finch ParketteTower-Community Green Space41
- City Wide Open SpaceUrban Plaza41
- Sultan Pool Dr WalkwayParkette43
- Opera PlaceUrban Plaza48
- Wembley ParketteUrban Plaza50
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Trca Lands ( 26)Ravine / Naturalized Park27
- Rouge ParkRavine / Naturalized Park28
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- High ParkRavine / Naturalized Park47
- Rouge ParkWaterfront Park25
Visitor signals
Public attention measured by Google Places aggregates. This proxies attention, not occupancy. Aggregate-only — no usernames, no review text, no extra photos beyond the cached hero.
p82 citywide · p48 within Civic Square
Source: Google Places API · match high (0.84 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
Human activity signals
Programming, social attention, temporal rhythm, and nearby pedestrian / cycling flow. An experimental aggregate layer that complements the spatial scores — partial coverage, partial confidence.
Activity reading: no inputs available. The strongest signal is public attention / mentions. Source coverage: google-places.
Does this score feel accurate?
Your read of Cloud Gardensmatters. We’re testing whether the model lines up with how people actually use the park. Submissions are stored locally; no account needed.
Tell us how this park feels
We measure structure (canopy, edges, connectivity). You measure feeling. Both matter — and disagreement is itself useful civic data.
What would improve this park?
Generated from the weakest measured dimensions — a starting point, not a prescription.
- Add or open more entrances and improve sidewalk continuity around the park. More permeability means more spontaneous use.
- Diversify what people can do in the park — playground, washroom, water, shade, performance, sport, garden — even small additions raise this score.
- Increase canopy and reduce paved area. Shade and water features extend usable hours and seasons.
Data sources
- City of Toronto Open Data — Parks (Green Space)Polygon boundaries, official names, types.
- Parks & Recreation FacilitiesInventory of in-park amenities (washrooms, fields, rinks…).
- Toronto Pedestrian NetworkSidewalk segments around and through parks; estimated park entrances.
- Toronto Centreline V2Street segments + intersection nodes near park edges; trails and walkways.
- Toronto 3D MassingBuilding footprints + heights for edge-building counts, frontage density, and tower-in-the-park risk.
- Toronto Treed AreaTree canopy share inside park polygons via stratified-grid sampling.
- Toronto Waterbodies & RiversWater surface inside parks + nearest-water distance for cooling.
- Ravine & Natural Feature ProtectionRavine overlap as a cooling / natural-comfort signal.
- Toronto Street Tree InventoryTree count + density inside park polygons.
- Neighbourhood Profiles(Pending) Equity context proxy.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.