Actualización del visor geográfico de valorización en Arcgis Enterprise

Abstract

This undergraduate thesis, developed as an institutional internship at the Institute of Urban Development (IDU), details the comprehensive process of technological upgrade, conceptual migration, and software re-engineering of the Capital District's Geographic Valuation Viewer. The primary objective of the research was the migration and upgrade of components such as SIGVALOR from the Geographic Valuation Database (BDGV), transforming an isolated and costly cloud storage environment into a centralized, secure, and highly available corporate infrastructure, hosted as a service on the ArcGIS Enterprise server ecosystem. To achieve this objective, a systematic methodology was implemented, structured in seven consecutive phases, ranging from the analysis and diagnosis of the previous system to the final deployment and quality assurance of the web services. At the core of the logical design, a thorough review of the ontological modeling and relational design of the geodatabase was conducted. This geodatabase was segmented into three essential conceptual domains for territorial revenue management: SIGCATAS: This component is responsible for structuring the physical and property-based pillar through the hierarchical and relational coupling of spatial variables such as sector, block, lot, property unit, and building, using official inputs provided by the Special Administrative Unit of the District Cadastre (UAECD) as of 2026. SIGNORMA: This component is designed to spatially represent the regulatory determinants of urban planning in force in the city, established in the Territorial Planning Plan (POT) under Decree 555 of 2021. SIGVALOR: This component constitutes one of the core missions of the Technical Operations Sub-Directorate (STOP), spatially modeling characteristics of valuation methodologies, such as distance to the The geoviewer's front-end was completely redesigned using the modern ArcGIS Experience Builder framework, integrating an interactive design pattern. The final results provide the IDU with a robust, interoperable, and high-performance Spatial Data Infrastructure (SDI) that not only optimizes technical response times for citizen services but also substantially reduces operating costs by eliminating reliance on cloud services. Through this implementation, the entity has a secure data repository that guarantees technological sovereignty, the protection of personal data, and transparency in citizen consultations regarding projects and areas of influence in the Capital Distrital.