Build a CityJSON 2.0 Implicit Geometry Tree Canopy Calculator

Analyze CityJSON 2.0 geometry-templates and SolitaryVegetationObject instances across municipal neighborhoods. Calculate urban tree canopy coverage and shade potential to assist municipal climate adaptation teams.

Urban climate and forestry planner

Ingest CityJSON 2.0 models containing geometry-templates and vegetation instances.

Resolve implicit geometry template matrices to calculate real-world canopy bounding envelopes.

Aggregate total neighborhood canopy surface area and cross-reference with municipal land parcels.

Produce an urban canopy density scorecard highlighting areas deficient in thermal shade.

Municipal GIS web map showing tree point clouds, canopy footprints, and heat risk neighborhood overlays.

Acquire open CityJSON 2.0 municipal sample datasets containing vegetation objects or construct mock CityJSON template dictionaries. Starter examples below are synthetic. They are not downloaded records.

CityJSON Leverages CityJSON Section 1 geometry-templates definition for implicit geometries reused by City Objects.

qdrant, shapely, fastapi. Qdrant enables high-performance spatial nearest-neighbor search to identify heat-island parcels lacking tree coverage. Standard hosted model for structuring GIS spatial reports and summarizing environmental compliance metrics.

Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.

Resolves template geometries using CityJSON transform scales and translation matrices.

Calculates cumulative canopy surface area in square meters per neighborhood zone.

Correctly handles files with empty geometry-templates by falling back to explicit geometries.

```json [ { "input": { "neighborhood": "Sector-4", "geometry_templates": { "templates": [ { "lod": "1", "type": "Solid", "canopy_radius_m": 4 } ] }, "vegetation_objects": [ { "id": "Tree-01", "template_index": 0, "anchor": [ 100, 200, 5 ] }, { "id": "Tree-02", "template_index": 0, "anchor": [ 115, 200, 5 ] } ] }, "expected_output": { "neighborhood": "Sector-4", "total_trees": 2, "estimated_canopy_area_sqm": 100.53, "shade_coverage_rating": "ADEQUATE", "warnings": [] } }, { "input": { "neighborhood": "Sector-9", "geometry_templates": { "templates": [] }, "vegetation_objects": [ { "id": "Tree-99", "template_index": 0, "anchor": [ 50, 50, 0 ] } ] }, "expected_output": { "neighborhood": "Sector-9", "total_trees": 0, "estimated_canopy_area_sqm": 0, "shade_coverage_rating": "DEFICIENT", "warnings": [ "Referenced template_index 0 not found in geometry-templates" ] } } ] ```

Produces theoretical urban environmental assessments; does not authorize physical tree pruning or urban forestry removal. Use mock external writes. Require human review before any real deployment.