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GeoPrompt Urban Scenario Visualizer QGIS 4 compatibility
Not QGIS 4 ready Active
Not yet — the latest version declares max QGIS version 3.99.0, so it is not offered to QGIS 4 users.
GeoPrompt Urban Scenario Visualizer is a QGIS plugin designed to generate AI-assisted georeferenced urban and regional planning scenario visualizations from the active QGIS map canvas. The plugin converts a selected QGIS canvas extent into an image, sends it to supported image-generation or image-editing providers, and writes the generated result back into QGIS as a georeferenced GeoTIFF layer. GeoPrompt is designed to help planners, designers, researchers, and policy analysts communicate spatial planning alternatives through visually rich scenario images while preserving the original map extent and coordinate reference system. The plugin supports planning-oriented visual workflows for detailed spatial planning, strategic environmental assessment, transit-oriented development, low-carbon districts, green infrastructure, sponge city strategies, complete streets, urban heat mitigation, and inclusive public realm design. This tool allows urban and regional planning practitioners to transform QGIS map views into scenario-based visual intelligence for workshops, presentations, policy communication, and early-stage planning exploration. The plugin is designed for applications including: 1. AI-assisted urban planning scenario visualization 2. Detailed spatial plan and land-use concept communication 3. Strategic environmental assessment and climate adaptation illustration 4. Transit-oriented development and mobility corridor visualization 5. Low-carbon, net-zero, sponge city, and green infrastructure scenario design 6. Urban design framework and public realm visualization 7. Planning communication for public consultation, workshops, and presentations
About
GeoPrompt Urban Scenario Visualizer provides a geospatial AI workflow to convert QGIS map canvases into georeferenced planning scenario outputs. The plugin exports a selected map extent from the QGIS canvas, sends the exported image and user-selected prompt preset to supported AI image providers, receives the generated image result, and writes it back into the project as a GeoTIFF layer with spatial reference, extent, prompt metadata, model metadata, and AI-use warnings. Core capabilities include provider switching between OpenAI and Google Gemini Image, curated Urban and Regional Planning prompt presets, Basic / Intermediate / Advanced preset categories, preserve-geometry mode, no-zoom prompt guarding, ratio-locked selection, optional padding and crop alignment, direct loading into the QGIS Layers Panel, optional zoom-to-result, custom model ID support, and metadata embedding inside output GeoTIFFs. The prompt preset library supports contemporary planning themes such as complete streets, walkability, 15-minute neighborhoods, transit-supportive development, bus priority corridors, sponge city planning, climate resilience, blue-green infrastructure, urban heat mitigation, net-zero districts, inclusive public realm, post-mining recovery, tourism corridors, land-use zoning, development control, urban growth boundaries, waterfront setbacks, and public facility reservation. GeoPrompt is intended as a planning communication and scenario visualization tool. It does not produce official statutory maps, survey-grade spatial data, land parcel delineations, authoritative land-use classifications, or legally binding planning outputs. Generated images should be reviewed by qualified professionals before being used in reports, plans, consultations, or decision-support processes.
| Author | Firman Afrianto, Maya Safira |
|---|---|
| Downloads | 1,044 |
| Latest version | 1.0.4 |
| Last updated | 2026-05-26 (142 days ago) |
| Min QGIS | 3.34.0 |
| Max QGIS | 3.99.0 |
| QGIS 4 ready | No |
| Maintenance | Active |
| Categories | AI & machine learning, Network & routing |
| Tags | ai, walkability, urban planning, geoprompt, urban heat mitigation, urban scenario, land use zoning, regional planning, google gemini image, complete streets, transit oriented development, net zero district, sponge city, planning communication, blue green infrastructure, geotiff, green infrastructure, detailed spatial plan, low carbon city, strategic environmental assessment, development control, geospatial ai, spatial planning, qgis, openai |
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Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.