Agentes públicos e privados na refuncionalização de formas urbanas na cidade de Campinas - SP

Pós-graduação em Geografia - IGCE

Caracterização do meio físico em bacias hidrográficas com suportes de sensoriamento remoto e geoprocessamento

Pós-graduação em Geografia - IGCE

Geografia e Política de Assistência Social: territórios, escalas e representações gráficas entre políticas públicas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Mapas de zonas de risco de epidemias para doenças dos citros no Estado de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Digital soil mapping: evaluation of sampling systems for soil surveys and refinement of soil maps at lower cost using legacy data

In soil surveys, several sampling systems can be used to define the most representative sites for sample collection and description of soil profiles. In recent years, the conditioned Latin hypercube sampling system has gained prominence for soil surveys. In Brazil, most of the soil maps are at small scales and in paper format, which hinders their refinement. The objectives of this work include: (i) to compare two sampling systems by conditioned Latin hypercube to map soil classes and soil properties; (II) to retrieve information from a detailed scale soil map of a pilot watershed for its refinement, comparing two data mining tools, and validation of the new soil map; and (III) to create and validate a soil map of a much larger and similar area from the extrapolation of information extracted from the existing soil map. Two sampling systems were created by conditioned Latin hypercube and by the cost-constrained conditioned Latin hypercube. At each prospection place, soil classification and measurement of the A horizon thickness were performed. Maps were generated and validated for each sampling system, comparing the efficiency of these methods. The conditioned Latin hypercube captured greater variability of soils and properties than the cost-constrained conditioned Latin hypercube, despite the former provided greater difficulty in field work. The conditioned Latin hypercube can capture greater soil variability and the cost-constrained conditioned Latin hypercube presents great potential for use in soil surveys, especially in areas of difficult access. From an existing detailed scale soil map of a pilot watershed, topographical information for each soil class was extracted from a Digital Elevation Model and its derivatives, by two data mining tools. Maps were generated using each tool. The more accurate of these tools was used for extrapolation of soil information for a much larger and similar area and the generated map was validated. It was possible to retrieve the existing soil map information and apply it on a larger area containing similar soil forming factors, at much low financial cost. The KnowledgeMiner tool for data mining, and ArcSIE, used to create the soil map, presented better results and enabled the use of existing soil map to extract soil information and its application in similar larger areas at reduced costs, which is especially important in development countries with limited financial resources for such activities, such as Brazil.

Determinação da densidade amostral ótima para a geração de mapas temáticos na cafeicultura de precisão

Among the crops commercially exploited in Brazil, the coffee has a great economic importance, especially in the states of Minas Gerais and Espirito Santo. In the search for higher yield and lower environmental impact, farmers and researchers seek to develop new technologies that result in greater efficiency in various production processes of the coffee. For this, the adoption of precision agriculture in the management of operations in coffee crops, called precision coffee, has shown results that justify its use, by identifying the spatial variability of several variables, allowing its localized management and in the proper intensity. Unlike conventional management that is based on the average of observations in an area, precision agriculture uses a more detailed sampling, based on a sampling grid, which allows to represent in greater detail the reality of farming. Many previous studies have identified the spatial variability of the production of coffee system variables, but without worrying about the quality of information obtained due to the sampling grid used as precision and accuracy. Given the above, the objective of this study was to evaluate the quality of four different sampling grids for different variables and three times, in order to identify the most appropriate grid for use in precision coffee. Also aimed to compare the results between the precision coffee and conventional, according to reference values.

Existência de soluções de inclusões diferenciais em escalas temporais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise da variação espaço-temporal em diferentes escalas sobre a distribuição ecológica das comunidades de macroalgas de duas bacias de drenagem da região centro-sul do estado do Paraná

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Variabilidade espacial de cádmio, chumbo, cobre, níquel e zinco em um Latossolo tratado com lodo de esgoto por treze anos consecutivos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A Biogeografia no núcleo de Rio Claro (SP): análise e avaliação das contribuições científicas no período de 1969-2004

Pós-graduação em Geografia - IGCE

Índice de cone, capacidade de suporte de carga e teor de água de quatro solos da Fazenda Lageado, Botucatu/SP : correlações r mapas de isocompactação

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Modelagem e mapas de capacidade suporte de carga de solos cultivados com cana-de-açúcar

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Mapas de isocompactação e isofertilidade do solo em diferentes sistemas de manejo

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

Medicões de áreas por fotografias aéreas, em escala nominal, comparadas com a área obtida em fotos com escalas corrigidas por meio de um SIG

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Utilização da geoestatística na construção de mapas de temperatura média mensal para o Estado do Paraná

Pós-graduação em Agronomia (Energia na Agricultura) - FCA