GEO-AMC: Plugin para automatizar el proceso de validación de áreas mínimas cartografiables en entidades poligonales

Abstract

Manually reviewing minimum map-able areas within Colombian territory is a highly inefficient process that often takes nearly an hour per layer analyzed. This situation leads to frequent technical errors caused by fatigue and the varying criteria different reviewers apply when assessing polygons. To address this, GEO-AMC was developed a QGIS plugin programmed in Python and PyQGIS that automates the validation of features with area attributes. The project was structured using the Agile Scrum methodology and an incremental model comprising analysis, design, execution, and evaluation. To prevent the software from overloading the computer with large files, the logic engine processes polygons individually calculating one object at a time and saves errors to a user-selected location. The tool was evaluated using real spatial data from the municipality of Sopó at a 1:1000 scale and validated by ten professionals responsible for reviewing and validating cartographic products. The application received high scores: 4.5 for efficiency and 4.9 for usability. Ultimately, this work demonstrates how automated validation across the various layers eliminates human error, reduces processing time to seconds, and standardizes review criteria.