2
GIS platforms supported
8
Microclimate simulation models
2 s
Simulation results per tile
1 m
Grid resolution

The GIS Climate Simulation Gap

Feature Without infrared.city With infrared.city
Running climate simulations from GIS data today means 4 manual steps. The infrared.city plugin collapses them all into one.
Source meteorological data Manual
CRS alignment Manual
Preprocess inputs Manual
Configure simulation Manual
Time to results Hours of setup Ready in minutes

Native QGIS Plugin

Simulate wind comfort, solar radiation, and urban heat directly from your QGIS workspace. No file exports, no context switching — just results layered on top of your existing geodata.

  • Wind speed
  • Pedestrian wind comfort
  • UTCI thermal comfort
  • Heat stress & cold stress
  • Solar radiation
  • Daylight availability
  • Sky view factor
  • Direct sun hours
QGIS road network simulation over Tokyo

ArcGIS Integration

Connect infrared.city’s simulation engine to your ArcGIS workflows and spatial data. Analyse pedestrian-level climate conditions at the scale of entire neighbourhoods.

  • infrared.city support
  • All 8 simulation models available
  • Esri-compatible output layers
  • Simulation across large areas
  • Vegetation handling in thermal simulation
Isometric city simulation with urban heat overlay in ArcGIS

City-Scale Precision

  1. Define Area

    Select your city zone or district directly in QGIS or ArcGIS

  2. Configure

    Set simulation type, wind directions, and resolution — all from the plugin panel

  3. Tile & Process

    infrared.city splits the area into tiles and runs simulations in parallel across the city

  4. Get Results

    Climate layers delivered directly into your GIS workspace, ready to analyse

Sign Up to Webinar

Live demo — watch infrared.city’s GIS plugin in action

Ready to bring climate intelligence into your GIS workflow?

Book a call with our team and see it live.