Land Suitability for Climbing Bean Cultivation in Cundinamarca, Colombia
Updated 20d ago
Available on 1 platform
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Description
A land suitability assessment map for climbing bean (Phaseolus vulgaris L.) cultivation in the Cundinamarca department of Colombia. The dataset results from a methodology applied under contract 268 of 2016, integrating biophysical, socioeconomic, and socio-ecosystem components at a 1:100,000 scale. It categorizes land into high, medium, low, unsuitable, and legally excluded zones for commercial bean production during the first agricultural semester.
Use Cases
Classify land suitability categories (Aptitud) for agricultural planning using the defined aptitude scale.
Calculate total suitable area in hectares (Área (ha)) for climbing bean cultivation within the Cundinamarca department.
Perform spatial analysis by joining with other geographic datasets using the geometry column (The_geom) or grid codes (Gridcode).
Filter and analyze data by administrative division using the department code (Código Departamento) and name (Departamento).
Strengths
Includes a detailed, multi-criteria land suitability classification (Aptitud) with five distinct categories.
Contains explicit spatial geometry data (The_geom) for mapping and geospatial analysis.
Provides area calculations in hectares (Área (ha)) for each suitability zone.
Limitations
Description metadata is limited; actual data quality requires manual inspection after download.
Row count is unknown, which may limit suitability assessment for large-scale modeling.
Last updated 2026-05-18 17:46:50; freshness should be verified as the date is in the future.
Provenance
Source
Result of contract 268 of 2016 between UPRA and the Government of Cundinamarca, published on www.datos.gov.co.
Collection Method
Land evaluation methodology applied and validated, integrating biophysical, socioeconomic, and socio-ecosystem components.
Time Range
Agricultural semester I.
Freshness
Last updated 2026-05-18 17:46:50.
Geography
Department of Cundinamarca, Colombia.
The 'last updated' date is in the future (2026), which may indicate a metadata error. License information is unknown.