Spatial Statistics
Aino performs advanced spatial statistics on vector data to support real estate and urban planning decisions. Each task combines open data (like OpenStreetMap) with user-uploaded datasets.
Density and Clustering
Goal: Identify where development or property activity is most concentrated.
Inputs: Building footprints or point events (transactions, permits). Outputs: Density maps, cluster polygons, hotspot areas.
How to do:
Upload your dataset or transaction layer, e.g, Cafes.
Prompt: “Show clusters of Cafes”
Review the cluster layer and summary stats.
Methodology: Aino analyzes feature proximity using DBSCAN clustering (ST_ClusterDBSCAN) and creates polygons from grouped points. Density per unit area is computed via spatial joins, and clusters are styled by concentration intensity.
Urban Form and Connectivity
Goal: Evaluate walkability and connectivity of neighborhoods.
Inputs: Street network, intersections, building footprints, research area. Outputs: Intersection density, block size, connectivity index.
How to do:
Retrieve the road network: “Get roads and intersections inside this research area.”
Then prompt: “Calculate intersection density and average block size.”
View the map of connectivity and walkability results.
Methodology: Aino detects intersections using ST_Node and ST_Intersection, measures road lengths (ST_Length), and constructs block polygons (ST_Polygonize). It then calculates intersection density and block metrics for a walkability index.
Floor Area Ratio (FAR)
Goal: Estimate development intensity (floor area / parcel area).
Inputs: Building footprints (with height or levels), parcel polygons. Outputs: FAR per parcel, color map, and average by land-use.
How to do:
Draw or upload your research area .
Prompt: “Retrieve buildings within Polygon from OSM.”
Then: “Calculate FAR for all buildings and within the Polygon”
Methodology: Aino overlays building footprints on parcels (ST_Intersection), estimates total floor area using height or level attributes, and divides by parcel area (ST_Area). The resulting FAR values are visualized in a color-scaled map for easy comparison.
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