Land Suitability Assessment for Keitt Mango Production in Cesar Department

A land suitability map for Keitt mango cultivation in Colombia's Cesar Department, produced using a 1:100,000 scale assessment methodology. The dataset categorizes land into high, medium, low, and unsuitable aptitude zones based on physical, socio-ecosystem, and socio-economic criteria. It was last updated on 2026-05-18.

Use Cases

• Classifying land aptitude for mango cultivation using the Aptitud column and spatial geometry from the_geom.
• Calculating total area of suitable zones by summing the Área (ha) column for specific Gridcode or Aptitud categories.
• Creating a spatial overlay of exclusion zones by filtering for Exclusiones legales categories within the Aptitud column.
• Analyzing the distribution of suitability classes across the region by joining the_geom polygons with Aptitud and Área (ha) data.

Strengths

• The dataset provides a structured land suitability classification (Aptitud) with four distinct categories.
• It includes geospatial vector data (the_geom) and a calculated area for each polygon (Área (ha)).
• The methodology is explicitly described as a 1:100,000 scale land evaluation for agricultural planning.

Limitations

• Row count and total dataset size are unknown, which may limit suitability assessment for large-scale analysis.
• Description metadata is limited; actual data quality requires manual inspection after download.
• The license and author information are unknown, which may affect usage rights.

Provenance

Source

www.datos.gov.co

Collection Method

Produced via land evaluation methodology at 1:100,000 scale for formulating a Rural Property Social and Productive Planning Plan.

Freshness

Last updated 2026-05-18 18:08:26; freshness should be verified.

Geography

Cesar Department, Colombia.