Coffee Cultivation Suitability Zoning for Colombian Municipalities

A geospatial dataset maps the suitability for commercial Arabica coffee cultivation across Colombian municipalities at a 1:100,000 scale. It classifies land into categories including High, Medium, Low, Unsuitable, and Legally Excluded based on physical, socio-ecosystem, and socio-economic criteria. The dataset is published by the Colombian government's open data portal, with a metadata update in December 2025.

Use Cases

• Classify municipal Aptitud (suitability) levels using features like Departamento, Municipio, and Área (ha).
• Analyze the distribution of coffee-suitable land (Área in hectares) by Departamento or Código municipio.
• Join with other municipal datasets using Código departamento and Código municipio for socio-economic or environmental studies.
• Visualize the_geom geometries to map regions with legal exclusions or high suitability for coffee.

Strengths

• Provides a detailed, multi-class Aptitud classification (High, Medium, Low, Unsuitable, Legal Exclusion).
• Includes geospatial vector data (the_geom) for mapping and spatial analysis.
• Contains municipal and departmental identifiers (Código municipio, Código departamento) for data linkage.

Limitations

• The total number of geographic polygons or rows is unspecified, making scale assessment difficult.
• The dataset's creation date and the time period for the underlying suitability analysis are not provided.
• Sample data is unavailable, preventing verification of data structure and values.

Provenance

Source

Colombian government open data portal (www.datos.gov.co).

Collection Method

Produced by applying a commercial crop suitability zoning methodology at a 1:100,000 scale.

Freshness

Metadata was updated on 2025-12-19.

Geography

Colombia, at the municipal level.