98 resultados para lingüística geográfica


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The objective was to map the prevalence of nutritional disorders in children attending the 1st to 4th grade of 12 public elementary schools located in the 5 administrative regions of Piracicaba, SP, each with its own socioeconomic profi le, from 2003 to 2006. A total of 16,068 children, divided into 8,133 (50.6%) girls and 7,935 (49.4%) boys, aged 7 to 11 years, were weighed and measured. Their nutritional status indicators heightfor-age (H/A), weight-for-age (W/A), and body mass index-for-age (BMI/A) were compared with those of the NCHS/CDC 2000 reference population and classifi ed according to the z-score cut-off points recommended by the World Health Organization. During that period, the Western Region, which has the lowest socioeconomic indicators, had the lowest z-score medians of the three anthropometric indicators assessed (p<0.0001) and was the only region to have a higher-than-expected stunting prevalence (3.0% with Z < -2). Excess weight prevalence was higher than expected in all regions. The Central Region, which has the highest socioeconomic indicators, had the highest excess weight prevalence (6.0% with Z > 2). Time had a positive effect on the stunted children, reducing the stunting rates in the regions with the lowest socioeconomic indicators. In conclusion, the three nutritional status indicators showed results suitable to the social and economic characteristics of each region. Although nutritional disorders have particular characteristics, they are a problem to the entire population.

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The aim of this work is to advance a new approach for estimating demographic density, through combining a Geographic Information System with GMDH Neural Networks. The model that is suggested parts the analyzed space into a rectangular grid formed by multiple cells measuring 0.01 km2 each. The forecasts are elaborated based on the demographic density in each cell and in its neighboring cells at a given time. Despite the limited availability of data during the modeling phase, the utilization of this method for studying a Brazilian medium-sized city presented promising results.

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Planning and sustainable management of water resources require actions that focuses on life quality, recovery and preservation of natural resources. As such, a municipality must have tools which empower the government with the right to exercise such actions, for example, the Master Plan and Sector Plans. To develop municipal plans which will guide the development of the city and provide information for establishment of public policies, it is of the utmost importance that they are designed based on primary and safe data. In view of these considerations, this study aimed at formulating environmental indicators by using a Geographic Information System – GIS. The environmental diagnosis based on the gvGIS was used as database, which made the process to be agile and accurate. The watershed of Lençóis River – SP was the study area. It has a good database from the Environmental Diagnosis of the watershed of Lençóis River, which was created through funds from the State Funds for Water Resources – FEHIDRO. The borrower was the Service of Water Supply and Sewage of Lençóis Paulista – SAAELP. Based on the diagnosis, the indicators were formulated concerning land use and occupation as well as water resources. The results were considered satisfactory and showed that the methodology used in this study is of great importance to evaluate water resources, as it provides a reliable basis for the decision-making process seeking environmental compliance and sustainable development. By using environmental indicators, the sustainability of an area as a whole can be analyzed, and the parts as well, i.e., it is possible to identify which sector is experiencing significant problems and take actions to solve them.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Pós-graduação em Geografia - FCT

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Saúde Coletiva - FMB