964 resultados para Geo-referenciação


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

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The aim of this study was to propose a reading of theoretical and methodological geography of Brazilian agriculture in Post-Graduate Studies in Geography (PPGE's) from the Southeast, from the 1970s, trying to present a discussion of the analysis categories (space, territory, landscape, region and place) that has been unleashed over the meetings of Agrarian Geography (ENGA's) and in three meetings of the Research Groups of Agrarian Geography (2005, 2006, 2007). So, we started with the hypothesis that the relativization of scientific concepts may impair development of spatial concepts only. To accomplish our objective we carried out a survey of dissertations and theses supported in the period 1970 to 2009, in Post-Graduate in Geography and UFU UFMG (Minas Gerais), UFRJ, UFF and UERJ (Rio de Janeiro) and USP, UNESP / Rio Claro, UNESP / Presidente Prudente (Sao Paulo). The evaluation dealt with the quantitative and drew a profile of Agrarian Geography. Qualitatively, further analysis, crossing information, contextualizing the themes and especially evaluating the theoretical set referenced in the works, an indication of the possible paths followed by this branch of the Brazilian Geography for which it is observed that the references to the categories space and, more specifically the organization of space, was prioritized in the 1980s and the territory as a reference work after 1990.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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The understanding of the geo-morphological characteristics allows the identification of flood areas and instability slopes among others important features for land use planning. The study of the hydrological net and the analysis of morphometric parameters help in the geomorphologic characterization, providing specific physics indicators that quantify the risks for environmental damages. The present work used Geographic Information Systems (GIS) and carried out the morphometric analysis of two watersheds in the Alto Rio Sorocaba, municipality of Ibiuna (SP). Using digitalized topographic bases in the scale 1:50,000, the main morphometric parameters were extracted and the Digital Elevation Model (DEM) was obtained. Hence the slope, ground illumination, hill orientation and relief feature maps were elaborated. The characteristics for the two watersheds were quite similar, both have low risks for floods and landslides. Therefore, the concave feature is the predominant hill shape for both watersheds. The morphometric parameters directly related to the river density of the watersheds showed some differences, because the Sorocabuçú watershed presents higher value, resulting in a higher level of relief development. Thus, with this characterization it is possible to provide subsidies for environmental planning actions to the area.

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A contaminant plume due to leachate infiltration was found in the solid waste landfill from Bauru, SP. The soil hydraulic conductivity (K) is an important parameter to understand the moving of this plume. This paper intends to show representative K values for the soils that occur in the vicinity of this landfill determined by field and laboratory tests. There are four soil types in the area: colluvium, alluvium, sandstone residual soil and the sandstone. Laboratory tests were performed using constant and variable head in rigid and flexible wall permeameters. Slug tests and hydraulic conductivity tests with the Guelph permeameter were also carried out in situ in the area. Representative K values of 3.7x10-7 m/s for the saturated zone and 2.4x10-8 m/s for the unsaturated zone were determined for the residual soil. A K value of 5.3x10-5 m/s was obtained for the colluvium soil. A great variation of K with depth was observed for the alluvium and the assumed average values for the saturated zone were 7.9x10-7 m/s and 1.1x10-4 m/s for the unsaturated surficial layer. An average K value of 3.3x10-8 m/s was determined in laboratory for the sandstone and it was assumed representative for this material.

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The Brazilian geo-environmental site characterizations usually do not provide a suitable Conceptual Site Model (CSM). Site assessments are mostly inappropriate and there is a lack of knowledge about the subsurface environment, generated by inconsistent data that will guide risk analyses and remediation projects full of uncertainties, causing delay on closing cases, inefficient remediation and higher global projects costs. The step of data collection must have high priority to develop a suitable CSM,, and it demands more effective high resolution site characterization (HRSC) tools than the traditional ones and, preferably, the decision-making have to be done in the field. This paper presents and discusses two geo-environmental site characterization results, in which the decision-making was done in the field based on high resolution site characterization (HRSC) used together with the traditional ones. These site investigations provided a significant time saving, allowed the detection of subsoil heterogeneities, a proper understanding of the subsurface environmental, and have generated a solid CSM in real-time. These CSM can subsidize remediation projects based on a more reliable data than those that would be obtained in traditional site investigations, concerned just in following the rules established by the environmental agencies.

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Considering the importance of spatial issues in transport planning, the main objective of this study was to analyze the results obtained from different approaches of spatial regression models. In the case of spatial autocorrelation, spatial dependence patterns should be incorporated in the models, since that dependence may affect the predictive power of these models. The results obtained with the spatial regression models were also compared with the results of a multiple linear regression model that is typically used in trips generation estimations. The findings support the hypothesis that the inclusion of spatial effects in regression models is important, since the best results were obtained with alternative models (spatial regression models or the ones with spatial variables included). This was observed in a case study carried out in the city of Porto Alegre, in the state of Rio Grande do Sul, Brazil, in the stages of specification and calibration of the models, with two distinct datasets.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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This study aimed to generate a database related to the spatial distribution of hives and productivity of regional producers, through the Geographic Information System (GIS) using the Global Positioning System. To build the database of geographical information (GIS) software for processing of geo-referenced information was used. The microregion (4 municipalities and 54 beekeepers) shows concentrations (pockets) of beekeepers and hives in certain locations. Further studies are needed on the characteristics of the local flora for bees to infer about possible saturation of floral resources, since no differences were observed between honey production in apiaries isolated or inserted into the pockets. The GIS proved to be an efficient tool for monitoring the location and origin of regional production, and for planning the distribution of hives and apiaries and so, contribute to a better use of flora and improvement of productivity of the apiaries.

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Background: Cancer is the second leading cause of death in Argentina, and there is little knowledge about its incidence. The first study based on population-based cancer registry described spatial incidence and indicated that there existed at least county-level aggregation. The aim of the present work is to model the incidence patterns for the most incidence cancer in Córdoba Province, Argentina, using information from the Córdoba Cancer Registry by performing multilevel mixed model approach to deal with dependence and unobserved heterogeneity coming from the geo-reference cancer occurrence. Methods: Standardized incidence rates (world standard population) (SIR) by sex based on 5-year age groups were calculated for 109 districts nested on 26 counties for the most incidence cancers in Cordoba using 2004 database. A Poisson twolevel random effect model representing unobserved heterogeneity between first level-districts and second level-counties was fitted to assess the spatial distribution of the overall and site specific cancer incidence rates. Results: SIR cancer at Córdoba province shown an average of 263.53±138.34 and 200.45±98.30 for men and women, respectively. Considering the ratio site specific mean SIR to the total mean, breast cancer ratio was 0.25±0.19, prostate cancer ratio was 0.12±0.10 and lower values for lung and colon cancer for both sexes. The Poisson two-level random intercepts model fitted for SIR data distributed with overdispersion shown significant hierarchical structure for the cancer incidence distribution. Conclusions: a strong spatial-nested effect for the cancer incidence in Córdoba was observed and will help to begin the study of the factors associated with it.