Desenvolvimento de um WebSIG para apoio na venda, compra e arrendamento de imóveis, estudo de caso: cidade da Maputo

Abstract

This work aims to develop a Geographic Information System (GIS) web platform to assist in the analysis and selection of properties in the Maputo real estate market, using multi-criteria analysis (MCA) methods. The tool aims to support buyers, sellers, and investors, allowing the evaluation of properties based on criteria such as location, accessibility, proximity to essential services, and environmental risks, including areas susceptible to flooding. The platform was developed with an approach that combines modern geoprocessing and web development technologies. For the user interface, frontend technologies such as HTML, CSS, and JavaScript were used, ensuring an interactive and responsive experience. The backend was implemented in Python, with the Flask framework for server-client integration, in addition to libraries such as GeoPandas and Shapely for spatial data manipulation. The results demonstrate that the developed platform is capable of assisting users in identifying properties suitable to their needs, reducing the complexity in decision-making. Furthermore, the tool can be used by urban managers for broader spatial analyses, contributing to more efficient territorial planning in Maputo. This work highlights the potential of GIS and AMC in optimizing real estate processes, offering a practical and accessible solution for the Mozambican market(TRADUÇÃO NOSSA)