980 resultados para ArcGis Runtime SDK for Androide


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The mining of sand, currently, is essential for urban growth, by providing input for the building industry. The consequences of this mining activity to environmental triggers may be severe and irreversible. Among the major impacts caused by sand mining the riparian vegetation removal is detached. The riparian vegetation is essential for balance and maintaining the local ecosystem. For all that had been shown, is possible to verify the importance of environmental studies in areas wich there are mining. This study aimed specially to assess environmental impacts triggered by a mining, located near the headwaters of the stream Mandu, situated in Ajapi, District of Rio Claro-SP. For this purpose, we used remote sensing techniques and GIS to produce thematic maps of slope, pedology, geology, land use and occupation of the soil, and riparian vegetation, using the capabilities of GIS / ArcGIS. The slope map was based on data from the Cartographic IGC 1979, scale 1:10,000. For the production of pedological and geological maps were used Semi-Detailed soil survey of the state of São Paulo, 1981 (1:100,000) and the Geological Map of Zaine (1994), scale 1:50,000, respectively. Since the maps of Use and Land Occupation and Riparian Forest were obtained by visual interpretation of the image of CBERS 2010 following the merger between the HRC and CCD images. From these mappings, and through multi-criteria analysis, map of susceptibility to erosion was made, which supported the environmental assessment of the studied area, indicating susceptible and unsuitable areas for the deployment of economic activities and urban sprawl. This study serves as a model can be replicated in other watersheds, assisting in the proper use planning and land use, aiming at the rational use of natural resources

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

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

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The emphasis in this research is to evaluate the spatial distribution of the precipitation using a geostatistics approach. Seasonal time scales records considering DJF, MAM, JJA e SON periods performed the analysis. Procedures to evaluate the variogram selection and to produce kriging maps were performed in a GIS environment (ArcGIS®). The results showed that kriging method was very suitable to detect both large changes in the whole area as those local small and subtle changes. Kriging demonstrated be a powerful statistical interpolation method that might be very useful in regions with great complexity in climatology and geomorphology.

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

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The structure of Brazilian savannah, named locally as “cerrado”, tends to change if the human pressures, such as pasture and intensive fire, are suppressed showing a densification of the physiognomies throughout the time. Vegetation Index acquired from remotely sensed data has been a proper way to study and monitoring large areas, and the Normalized Difference Vegetation Index (NDVI) is one of the most used for this purpose. The aim of this study was to assess the dynamic of structural changes in protected and non-protected areas of cerrado vegetation using NDVI. For this purpose, three cerrado fragments in the state of São Paulo, Brazil, were evaluated for a 26 year time span from 1985 and 2011, being two of them protected against anthropogenic interference. Landsat 5 –Thematic Mapper images were used and processed in ArcGIS. In the protected areas NDVI indicated that the vegetation followed the expected trend of changes for cerrado, with more open physiognomies tending to be denser throughout this period of 26 years, whereas in the non-protected fragment the NDVI evidences human pressure, showing lower phytomass in 2011. NDVI showed to be efficient in detecting and monitoring changes in cerrado vegetation structure, and can be useful to study both, the natural dynamics of cerrado vegetation and the anthropogenic interference in protected areas.

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A análise morfométrica de uma microbacia é uma importante ferramenta de diagnóstico da susceptibilidade à degradação ambiental, pois os resultados nortearão o planejamento, o manejo e a implementação de medidas mitigadoras para conservação dos recursos hídricos. O presente trabalho teve como objetivo a caracterização morfométrica da microbacia do Ribeirão Tabuleta – Piquete (SP) através do Sistema de Informações Geográficas Arcview e da Carta Planialtimétrica de Lorena – SP e Delfim Moreira - MG, editadas pelo IBGE (1970), em escala 1:50000. As variáveis avaliadas foram as dimensionais, da composição da rede de Drenagem e do padrão de drenagem. As bases cartográficas utilizadas foram a carta planialtimétrica de Lorena – SP e Delfim Moreira - MG, editadas pelo IBGE (1970), em escala 1:50000, para a hierarquização da rede de drenagem e a análise morfométrica. Os resultados permitiram concluir que a microbacia apresenta altos riscos de susceptibilidade a erosão e degradação ambiental, sendo fundamental a manutenção da cobertura vegetal e as zonas ripárias para conservação dos serviços ambientais. O fator de forma e a densidade de drenagem alta permitiram inferir que o substrato tem permeabilidade baixa com menor infiltração e maior escoamento da água. A alta declividade das encostas (montanhoso) indica se não for conservada pode haver alteração na regulação do sistema hidrológico e consequentemente na produção de água. O Sistema de Informações Geográficas ArcGis 9.3 foi excelente na digitalização e análise dos dados.

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A morfometria é uma ferramenta de grande importância como diagnóstico de suscetibilidade a degradação ambiental, delimitação da zona ripária, planejamento e manejo da microbacia. O presente trabalho teve como objetivo a caracterização morfométrica da microbacia do Ribeirão Benfica – Piquete (SP) através do Sistema de Informações Geográficas Arcview e da Carta Planialtimétrica de Lorena – SP e Delfim Moreira - MG, editadas pelo IBGE (1970), em escala 1:50000. As variáveis avaliadas foram as dimensionais, do padrão de drenagem e do relevo. A base cartográfica utilizada foi as cartas planialtimétricas de Lorena – SP e Delfim Moreira - MG, editadas pelo IBGE (1970), em escala 1:50000, para a hierarquização da rede de drenagem e a análise morfométrica. Os resultados permitiram concluir que a microbacia apresenta altos riscos de susceptibilidade a erosão e degradação ambiental, sendo fundamental a manutenção da cobertura vegetal e as zonas ripárias para conservação dos serviços ambientais. O fator de forma e a densidade de drenagem alta permitiram inferir que o substrato tem permeabilidade baixa com menor infiltração e maior escoamento da água. A alta declividade das encostas (montanhoso) indica que se a microbacia não for conservada pode haver alteração na regulação do sistema hidrológico e consequentemente na produção de água. O Sistema de Informações Geográficas ArcGis 9.3 foi excelente na digitalização e análise dos dados.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Saúde Coletiva - FMB

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Observability measures the support of computer systems to accurately capture, analyze, and present (collectively observe) the internal information about the systems. Observability frameworks play important roles for program understanding, troubleshooting, performance diagnosis, and optimizations. However, traditional solutions are either expensive or coarse-grained, consequently compromising their utility in accommodating today’s increasingly complex software systems. New solutions are emerging for VM-based languages due to the full control language VMs have over program executions. Existing such solutions, nonetheless, still lack flexibility, have high overhead, or provide limited context information for developing powerful dynamic analyses. In this thesis, we present a VM-based infrastructure, called marker tracing framework (MTF), to address the deficiencies in the existing solutions for providing better observability for VM-based languages. MTF serves as a solid foundation for implementing fine-grained low-overhead program instrumentation. Specifically, MTF allows analysis clients to: 1) define custom events with rich semantics ; 2) specify precisely the program locations where the events should trigger; and 3) adaptively enable/disable the instrumentation at runtime. In addition, MTF-based analysis clients are more powerful by having access to all information available to the VM. To demonstrate the utility and effectiveness of MTF, we present two analysis clients: 1) dynamic typestate analysis with adaptive online program analysis (AOPA); and 2) selective probabilistic calling context analysis (SPCC). In addition, we evaluate the runtime performance of MTF and the typestate client with the DaCapo benchmarks. The results show that: 1) MTF has acceptable runtime overhead when tracing moderate numbers of marker events; and 2) AOPA is highly effective in reducing the event frequency for the dynamic typestate analysis; and 3) language VMs can be exploited to offer greater observability.

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Abstract Rain gardens are an important tool in reducing the amount of stormwater runoff and accompanying pollutants from entering the city’s streams and lakes, and reducing their water quality. This thesis project analyzed the number of rain gardens installed through the City of Lincoln Nebraska Watershed Management’s Rain Garden Water Quality Project in distance intervals of one-eighth mile from streams and lakes. This data shows the distribution of these rain gardens in relation to streams and lakes and attempts to determine if proximity to streams and lakes is a factor in homeowners installing rain gardens. ArcGIS was used to create a map with layers to determine the number of houses with rain gardens in 1/8 mile distance increments from the city’s streams and lakes and their distances from a stream or lake. The total area, number of house parcels, and the type and location of each parcel type were also determined for comparison between the distance interval increments. The study revealed that fifty-eight percent of rain gardens were installed within a quarter mile of a stream or lake (an area covering 60% of the city and including 58.5% of the city’s house parcels), and that eighty percent of rain gardens were installed within three-eighth mile of streams or lakes (an area covering 75% of the city and 78.5% of the city’s house parcels). All parcels in the city are within 1 mile of a stream or lake. Alone the number of project houses per distance intervals suggested that proximity to a stream or lake was a factor in people’s decisions to install rain gardens. However, when compared to the number of house parcels available, proximity disappears as a factor in project participation.

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Pós-graduação em Saúde Coletiva - FMB