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Spatial Multi-Criteria Evaluation (SMCE), simplified.

Design, combine and compare spatial criteria to support robust decision-making. Normalize datasets, create criteria trees, and visualize results — all in one intuitive interface.

Fast setup
Get started in minutes with templates and sample data.
Reproducible
Version inputs and export workflows for audit trails.
Scalable
From small studies to large regional analyses.
Map and results placeholder

Example output

Normalized suitability map.

Data preprocessing

Standardize coordinate systems, reproject rasters, and resample to consistent pixel resolution.

Criteria builder

Create hierarchical criteria trees, set weights, and define alternatives for multi-criteria analysis.

Visualization & export

Interactive maps, charts, and exportable reports for stakeholder engagement.

Typical workflow

  1. 1
    Import dataUpload rasters & vectors, or use sample data.
  2. 2
    Define criteriaCreate criteria tree, set weights and transforms.
  3. 3
    Run evaluationCombine layers, compute suitability scores.
  4. 4
    Share resultsExport maps, charts or share a report link.

Trusted by

University of TwenteUNHABITATRwandaGhanaGhana

Ready to explore the SMCE?

Create your own story or explore the community examples.