Desenvolvimento de aplicativo para automatizar o processo de tratamento de dados utilizados na elaboração de mapas quantitativos populacionais

Abstract

The knowledge about population distribution in a municipality, both in urban and rural areas is important for decision makers. For proper representation of this distribution the use of quantitative maps has become increasingly common, and with the advancement of geotechnology in recent decades this process has become automated. In this context, this study aimed to develop an application for automatic data processing required for preparation of population quantitative maps and more specifically the automatic creation of a geospatial database; the application module developed for the municipality of Teófilo Otoni; and the preparation, using different methods for the quantitative representation of thematic mapping, population maps for the municipality. For this, were used the Model Builder structure available in ArcGIS® software, census data and digital mesh of 2010 provided by the IBGE for Teófilo Otoni. Initially, the population was classified as urban and rural. It was considered urban population residing in the Teófilo Otoni district and rural population residing outside those limits. In order to represent the urban population, population density neighborhoods was illustrated by choropleth method; while for representation of rural population was opted for the common dot method. The application proved to be efficient for the automation of processes that precede the development of population quantitative thematic maps because it has the advantages of reliability and reproducibility of results. By using the choropleth and common dot methods of representation was possible to analyze the distribution of urban and rural population of Teófilo Otoni. However, in order to verify the dynamics of local population is suggested new studies using census data for different periods. Another improvement in future work would be to use night satellite images for better representation of population distribution.