INFOPOINTREPORT: Plugin de QGIS para el apoyo de generación de informes de capas prediales

Abstract

The GIS team is facing a heavy workload because attribute queries within spatial layers are carried out manually. To mitigate this issue, a QGIS plugin was developed to automate the cadastral layer-query process, shortening response times and reducing errors, thereby improving the operational efficiency of GIS professionals. The project followed the agile Scrum methodology through the analysis, design, implementation, and evaluation phases. During analysis, functional requirements were identified, such as reading Shape layers, accepting coordinates in DMS/DD, and generating a CSV report. In the design phase, UML diagrams were produced according to the 4 + 1 View Model. Implementation of the plugin—InfoPointReport—was carried out with PyQGIS and QtDesigner. In the evaluation phase, the plugin was tested against a cadastral database of 2.5 million records. Query times varied depending on the relationship between the input coordinate and the target polygon: where a direct intersection existed, the query took no more than half a second, whereas when the coordinate lay far from any polygon, the query could take up to 20 seconds. Using such a large test layer made it possible to confirm that the plugin is stable, reliable, and fault-tolerant.