Os elementos do espaço turístico da fronteira Brasil-bolívia

The geographical space aimed by this study was the Brazil-Bolivia border, involving the urban areas of the Brazilian city, Corumbá, and the Bolivian ones, Puerto Quijarro and Puerto Suárez. The objective of this study was to analyze the touristic border spaces, speculating about their similarities and divergences regarding integrated planning. Secondary data, resulting from field work, was used in the methodology. The border generates a tangled web of relationships and streams. The presented spatial elements mix complex rationalities, sometimes approaching, sometimes denying and even disregarding the possibilities that can be translated by the border.

Avaliação dos atributos do solo sob diferentes ocupações na microbacia hidrográfica do córrego da Fazenda Glória Em Taquaritinga (SP)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

O poder da rede na materialização de programas de desenvolvimento rural: território da cidadania Região Central/RS

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Análise dos processos e instrumentos de ordenação do território: comparação entre Brasil e Portugal

Pós-graduação em Geografia - IGCE

A cidade em transformação: formação urbana, desenvolvimento e culturas políticas em Campo Grande (1905-1939)

Pós-graduação em História - FCHS

Zoneamento do escoamento superficial da bacia hidrográfica do Rio Paciência, Ilha do Maranhão-MA

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

Ambientes de confluência no contexto da rede de drenagem: exemplo da bacia hidrográfica do rio Ivaí - estado do Paraná

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

GIS-based analytical tools for transport planning: spatial regression models for transportation demand forecast

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.

Transfer function-noise modeling and spatial interpolation to evaluate the risk of extreme (shallow) water-table levels in the Brazilian Cerrados

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Spatial Assessment of Indices for Characterizing the Erosive Force of Rainfall in El Salvador Republic

Soil erosion data in El Salvador Republic are scarce and there is no rainfall erosivity map for this region. Considering that rainfall erosivity is an important guide for planning soil erosion control practices, a spatial assessment of indices for characterizing the erosive force of rainfall in El Salvador Republic was carried out. Using pluviometric records from 25 weather stations, we applied two methods: erosivity index equation and the Fournier index. In all study area, the rainiest period is from May to November. Annual values of erosivity index ranged from 7,196 to 17,856 MJ mm ha(-1) h(-1) year(-1) and the Fournier index ranged from 52.9 to 110.0 mm. The erosivity map showed that the study area can be broadly divided into three major erosion risk zones, and the Fournier index map was divided into four zones. Both methods revealed that the erosive force is severe in all study area and presented significant spatial correlation with each other. The erosive force in the country is concentrated mainly from May to November.

Environmental and grazing influence on spatial variability of intertidal biofilm on subtropical rocky shores

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

Geostatistical analysis of the spatial distribution of Rotylenchulus reniformis on cotton cultivated under crop rotation

The spatial distribution of Rotylenchulus reniformis on cotton cultivated in crop rotation with sorghum-peanut-velvetbean was studied using geostatistics. The experimental field, which had been continuously cropped with cotton for 20 years, comprised two 32 x 48 m-grids, each divided in sixty-four 4 x 6 in sampling plots. For all crops, 300 cm(3) soil samples were taken at the center of each plot at crop germination (Pi) and again at harvest (Pf), from which the numbers of nematodes were determined. The results revealed that the spatial distribution of R. reniformis was highly aggregated and with the aid of geostatistical techniques the nematode intensities were mapped and the risk areas accurately identified. Consequently, geostatistics is here considered a useful tool for planning nematode control strategies, particularly in precision agriculture.

Multi-Agent Simulation of Urban Social Dynamics for Spatial Load Forecasting

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A Cellular Automaton Approach to Spatial Electric Load Forecasting

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Spatial-temporal variation of Paralonchurus brasiliensis (Actinopterygii: Sciaenidae) density in relation to some environmental factors on the inner shelf of south-eastern Brazilian coast

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