Data Collection, Analysis & ReportingPurpose
1.2. Automates the collection of real-time mapping data, zoning changes, public works updates, and demographic overlays for rapid analysis and reporting.
1.3. Automator enables automated consolidation of satellite, land registry, infrastructure, and citizen-submitted data for urban planning transparency and efficiency.
Trigger Conditions
2.2. Data event-based trigger: Automation initiates when new GIS datasets or updates are detected in connected databases.
2.3. Manual trigger: Authorized municipal personnel can trigger on-demand automated integration via a web dashboard.
Platform Variants
• Feature/Setting: Configure ArcGIS REST API to download layers, automating data extraction with token authentication.
3.2. Google Maps Platform
• Feature/Setting: Use Maps JavaScript API and Geocoding API for automating retrieval of geospatial points and address mapping.
3.3. GeoServer
• Feature/Setting: Connect to WMS/WFS endpoints for real-time automatable data pulls into reporting workflows.
3.4. QGIS
• Feature/Setting: Employ Python Processing scripts for exporting layers, automatedly invoking them through API triggers.
3.5. Mapbox
• Feature/Setting: Automate pulling map datasets using Mapbox Datasets API, automator handles token refresh.
3.6. OpenStreetMap
• Feature/Setting: Schedule OSM Overpass API queries for automating extraction of municipal infrastructure updates.
3.7. Microsoft Power BI
• Feature/Setting: Configure Power BI REST API for scheduled publishing of GIS report visuals into municipal dashboards.
3.8. Tableau
• Feature/Setting: Tableau Server REST API automates publishing refreshed GIS dashboards from processed datasets.
3.9. Carto
• Feature/Setting: Connect Carto SQL API for automated querying and piping location intelligence into reports.
3.10. ESRI Survey123
• Feature/Setting: Configure webhook for automating transfer of surveyed geospatial data into reporting pipeline.
3.11. SAP HANA Spatial
• Feature/Setting: Use spatial SQL and OData API to automate extraction and ingestion into municipal reporting schema.
3.12. FME Server
• Feature/Setting: Schedule automatable FME workspaces for GIS ETL, triggering transformation jobs.
3.13. Databricks
• Feature/Setting: Use Databricks REST API to automate orchestrated geospatial data prep and export.
3.14. Amazon Location Service
• Feature/Setting: Automate GeoJSON extraction via automated AWS SDK Lambda triggers.
3.15. PostGIS
• Feature/Setting: Automate database function calls to retrieve and format spatial queries for reporting.
3.16. Apache Superset
• Feature/Setting: Automate dashboard refresh via Superset API for spatial data visualization in municipal reports.
3.17. Airflow
• Feature/Setting: Orchestrate GIS workflows automatable with timed DAGs, chaining data fetch and transformation.
3.18. Slack
• Feature/Setting: Automate alerting stakeholders of updated GIS-integrated reports using Slack Webhook API.
3.19. SharePoint
• Feature/Setting: Automator uploads finalized reports to SharePoint sites using REST endpoints.
3.20. Zapier
• Feature/Setting: Configure automatable workflows integrating data pull from GIS APIs to document storage and notification systems.
3.21. Azure Logic Apps
• Feature/Setting: Automate orchestration between Azure Maps, SharePoint, and Outlook for seamless municipal reporting.
3.22. Dropbox
• Feature/Setting: Automatically back up finalized GIS-integrated reports via the Dropbox API.
Benefits
4.2. Automation enables real-time insight, shortening the timeline from data collection to decision-making.
4.3. Automated data flows ensure regulatory compliance by consistently updating records and reports.
4.4. Automator-driven harmonization of multiple data sources boosts transparency for municipalities.
4.5. Automating repetitive GIS data pulls and analysis frees staff for higher-value strategic planning.