At a glance

Core tools

From SDG-aligned scoring to spatial visualization and API export — each feature works together in one cohesive dashboard.

Interactive map

Pan, zoom, and click neighborhood polygons on a Leaflet basemap with green-themed choropleths.

Temporal analysis

Compare circularity scores across 2016 and 2023, measure change, and overlay land surface temperature.

Dashboard tables

Aggregate stats, ranked neighborhoods, and a full sortable data table for detailed analysis.

GeoJSON API

Authenticated REST endpoints return standard FeatureCollections for reports and pipelines.

PostGIS backend

Neighborhood polygons and spatial queries handled natively — accurate geometries, every time.

Auth & access

Session-based sign-in protects the dashboard and API. Register for an account or sign in with your credentials.

SDG-aligned analysis

Select relevant UN Sustainable Development Goals, supply your neighborhood metrics, and receive computed circularity scores mapped to your SDG scope.

Mapping

Interactive neighborhood map

Pan, zoom, and click through neighborhood polygons on an interactive basemap. Each zone is color-coded by the active data layer — circularity scores, temporal change, or land surface temperature.

Leaflet-powered interactivity
Green-themed choropleth visualization
Click-to-inspect neighborhood details

Map view

Mitte

CS 0.58

CS 2016

0.420

CS 2023

0.580

Change

+0.160

LST avg

31.2°

CS 2023 CS 2016 Change LST

Analytics

Multi-layer temporal analysis

Switch between four data layers instantly. Compare circularity scores from 2016 and 2023, measure absolute change, and overlay land surface temperature readings — all from one control panel.

Dashboard

Overview & data tables

The dashboard gives you aggregate statistics at a glance, a ranked table of top-performing neighborhoods, and a full sortable data table for detailed analysis.

8+

Zones

0.52

Avg CS

+0.14

Avg Δ

Neighborhood	CS 2023	Change
Kreuzberg	0.620	+0.070
Mitte	0.580	+0.160
Prenzlauer Berg	0.510	+0.130

1

Select SDGs

Choose the UN goals that frame your urban circularity analysis.
2

Provide your metrics

Share the neighborhood indicators you already have — partial datasets are fine.
3

Receive circularity scores

GeoAI computes scores and maps results to your SDG selection on the map and dashboard.

Contact us for custom SDG scope and pricing.

SDG analysis

Your metrics → our circularity score

GeoAI is built for organizations that track urban sustainability but don't want to maintain a full scoring model. You configure which SDGs matter for your city, provide the data you have, and we handle circularity computation.

Configurable SDG selection for urban circularity
Works with partial or custom metric sets
Research-backed scoring methodology

GET /api/neighborhoods

{
  "type": "FeatureCollection",
  "features": [{
    "type": "Feature",
    "geometry": { "type": "Polygon", "..." },
    "properties": {
      "name": "Mitte",
      "cs_2016": 0.42,
      "cs_2023": 0.58,
      "avg_lst": 31.2
    }
  }]
}

API & data

GeoJSON REST API

Authenticated API endpoints return standard GeoJSON FeatureCollections. Integrate circularity data into your own tools, reports, or downstream pipelines.

Powered by PostGIS

Neighborhood polygons stored as native geometry types. Spatial joins, bounding-box queries, and accurate projections — no approximations.

Ready to explore?

Sign in to explore the sample dashboard (Berlin demo data), or contact us for SDG analysis, custom metrics, and pricing.

Sign in Contact for demo

Everything you need for urban circularity analysis.