Um modelo de representação computacional baseado em conceitos de crescimento urbano associados a alvarás e primitivas em banco de dados espacial

Abstract

The resulting urban expansion from the rapid development of cities is a major challenge for sustainable development. Thus, the design of appropriate computational models that enable the simulation, spatialized visualization and analysis of the process of urban growth is critical. Neighborhood Management policies and types of urban growth are made up of equipment represented by different types of permits or concessions for opening and business operation. Also for road systems, transportation systems, political and administrative boundaries, zoning and street layout. It can be demonstrated in a spatial database by (a) georeferenced open data, a term that characterizes human elements, demographic, socio-economic, infrastructure, environmental and historical conditions, (b) different geometries (point, line and polygon) and (c) use of spatial functions for topological relations, directional or metrics between devices. Construction and implementation of the proposed model in this paper are used the above items (a, b, c) and a set of questions prepared by experts in the planning area, identified as primordial concepts to urban growth area. In relation to the goal and modeling the most relevant contributions are: (1) the representation by means of a small set of primitives in a database with spatial extension, (2) the development of a vocabulary or assigning a semantic the model, (3) the interaction between different concepts associated with the process of urban growth, (4) the possibility of expansion and integration of other areas of georeferenced data and open and (5) in the lower run time to 10 seconds to 70% spatial queries. Contributions in relation to the experiment with users, considered the web interface developed in this work: (1) on the fact that the tool covers the needs as regards the generation and spatialized visualization of data for 4 of 5 users, (2 ) interacting with georeferenced data of business licenses, neighborhoods and streets boundary and (3) in the data visualization from the historical and spatial point of view.