Geospatial zoning data identifies land suitability for commercial sugarcane cultivation across Colombia. The dataset classifies areas into high, medium, low, and legally excluded suitability categories. It was produced by a Colombian government entity using a specific zoning methodology in October 2020.
Use Cases
- Classify land Aptitud (High, Medium, Low, Legal Exclusion) for sugarcane using geospatial features from the_geom.
- Calculate total suitable Área (ha) by Departamento or Municipio for agricultural resource planning.
- Join municipal-level data using Código dane Municipio with other Colombian demographic or economic datasets.
- Analyze the distribution of Aptitud categories against physical and socio-economic constraints defined in the methodology.
Strengths
- Contains a defined Aptitud classification system with four distinct categories.
- Includes geographic identifiers (Código dane Municipio, Departamento) for administrative joins.
- Spatial data is provided at a 1:100,000 scale for regional analysis.
Limitations
- Sample data and total row count are unavailable for assessing dataset size.
- The underlying data collection methodology and specific input variables are not detailed in the provided description.
- Data is based on a 2020 analysis and may not reflect current land use or legal conditions.
Provenance
- Source
- www.datos.gov.co, a Colombian government open data portal.
- Collection Method
- Result of applying a commercial crop suitability zoning methodology described in an October 2020 document.
- Time Range
- Analysis reflects conditions as of October 2020.
- Freshness
- null
- Geography
- Colombia, with data likely at the municipal level.