Análise comparativa dos plugins cartographic generalizer e simplify para o mapeamento cadastral urbano usando a diferença simétrica.

Abstract

The Municipal Cadastral Cartographic Base plays a relevant role in territorial organization, being essential for urban planning, urban mobility, infrastructure, and land regularization. When structured with geometric precision and standardized symbology, it allows the integration of diverse thematic information into a single system, promoting greater efficiency for municipal management. In this sense, this work aimed to analyze a proposal for the visual standardization of a Municipal Cadastral Base Map, integrating a comparative evaluation of automatic cartographic generalization algorithms. The study was applied to a pilot area located in the Bagagem neighborhood, in the municipality of Iraí de Minas - MG. The approach was based on the vectorization of the primitive base from orthophotos, ensuring the precision required by ABNT NBR 14166, and on the definition of visual perception parameters based on the guidelines of the Swiss Society of Cartography (SSC). In a Geographic Information System (GIS) environment, the generalization of built areas was executed in four scale transition scenarios (1:1,000, 1:2,000, 1:5,000, and 1:10,000), evaluating the performance of the Cartographic Generalizer and Simplify (based on the Douglas-Peucker algorithm) plugins. For the topological validation and quantification of area loss in each transition, Symmetrical Difference geoprocessing was employed. The results demonstrated that the Cartographic Generalizer, by applying continuous edge smoothing, severely alters anthropic features at smaller scales. In contrast, the Simplify plugin proved to reduce vector complexity while preserving the orthogonality and the original area of the buildings. The generated cartographic product presented a clear visual hierarchy, using standardized line weights and the RGB color system to differentiate building floors. It is concluded that the alliance between the adopted visual standardization and the Douglas-Peucker algorithm meets the topological requirements of the Multipurpose Technical Cadastre (CTM), delivering a reliable document to public management for the continuous updating of urban mapping.