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Analise espacial da endemia de leptospirose na cidade de São Paulo, uma abordagem baseada em geoprocessamento / Spatial analysis of the leptopirosis endemic in the city of São Paulo, an approach based on geoprocessingDuarte, Gustavo Garcia Fontes 12 August 2018 (has links)
Orientador: Marcos Cesar Ferreira / Dissertação (mestrado) - Universidade Estadual de Campinas. Instituto de Geociencias / Made available in DSpace on 2018-08-12T04:43:24Z (GMT). No. of bitstreams: 1
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Previous issue date: 2008 / Resumo: Este trabalho trata das endemias de leptospirose que ocorreram na cidade de São Paulo em 2006. Através de um viés geográfico, amparado nas facilidades proporcionadas pelos Sistemas de Informação Geográfica, busca-se enumerar e hierarquizar feições espaciais das áreas mais acometidas, para assim estabelecer uma relação entre o espaço geográfico e a doença, para então posteriormente elaborar um mapa de áreas de risco. Após uma breve apresentação da paisagem das áreas endêmicas, a zona leste da cidade de São Paulo tornase objeto para aplicação do método geográfico. Aspectos físicos e sociais são analisados conjuntamente por uma de uma matriz geográfica, portanto, através das abordagens corológica e espacial do espaço geográfico. No ambiente computacional, os Sistemas de Informação Geográfica tornam possível um estudo através dos pesos de evidência, que consiste na elaboração de probabilidades do acontecimento de um fenômeno a priori, sem intervenções, e a posteriori, com novas probabilidades de chance de acontecimento após a inserção de novas informações. Tais informações recebem neste trabalho o rótulo de planos de Informação. Para lidar com as endemias na zona leste os seguintes planos de informação foram utilizados no modelo: uso do solo, declividade, rede hidrográfica e setores censitários com residências que depositam seu lixo nos rios ou em terrenos baldios. Estes planos de informação são trabalhados no software ArcSDM3.1 para se identificar, através dos pesos de evidência, quais mais contribuem para a espacialização da doença. Após a enumeração dos constituintes desses planos de informação mais importantes para o fenômeno, elaborase o mapa de probabilidades posterior, que identifica na zona leste de São Paulo as áreas que apresentam o maior risco para o contágio da doença. / Abstract: This thesis deals with the leptospirosis endemics that occurred in the city of São Paulo during 2006. The goal of this work is to list and prioritize spatial features of the most affected areas and is accomplished by entering a spatial bias using a Geographic Information System. Those areas identified as high-risk are further displayed on a map in order to establish a relationship between the disease and the geographic space. After performing a brief spatial analysis of the endemic areas, the Eastern Zone of the city of São Paulo stood out as most prominent for the implementation of the following geographic method. Physical and social aspects are examined jointly through a geographic matrix using chorological and spatial approaches of the geographic space. Geographic Information Systems make possible the configuration of a study based on the weight of evidence, an elaboration of the event probabilities of a phenomenon a priori, without intervention, and a posteriori, with new probabilities of occurrence after the insertion of new information. Such information in this work receives the label of 'information plans.' In order to deal with eastern São Paulo's endemics, the following information plans were used in the model: land use, slope, hydrological network, and census tracts containing the number of homes that discharge their waste into rivers or abandoned land. These information plans are put into practice using ArcSDM3.1 software in order to identify, through the weight of evidence, which ones contribute the most to the spread of the disease. After listing the information plans' most important constituents in regard to the phenomenon, a probability map is created, which identifies what areas within East São Paulo represent the greatest risk of spreading the disease. / Mestrado / Análise Ambiental e Dinâmica Territorial / Mestre em Geografia
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Análise espacial da bataticultura e sua interação com agricultura familiar, agrotóxicos e usos do solo em Camanducaia, na área de proteção ambiental da Fernão Dias, em Minas Gerais / Spatial analysis of potatoes crops and interactions on farming agriculture, pesticides and land use in Camanducaia, in environmentally protect área Fernão Dias, Minas GeraisMattos, Eliana Correa Aguirre de, 1965- 23 August 2006 (has links)
Orientador: Marcos Cesar Ferreira / Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Geociencias / Made available in DSpace on 2018-08-20T00:42:00Z (GMT). No. of bitstreams: 1
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Previous issue date: 2011 / Resumo: O propósito deste trabalho foi caracterizar a agricultura familiar de forma a estabelecer suas relações com as diretrizes de uso do solo e com as intoxicações por agrotóxicos na atividade agrícola no município de Camanducaia, na APA Fernão Dias-MG, utilizando recursos de imagens digitais, análises estatísticas e materiais cartográficos. A bataticultura é expressiva em Camanducaia-MG e seu cultivo ainda tradicional na região sul mineira, mas tem sofrido declínio para outras regiões e outros estados; está aliada a um sistema de produção que demanda grandes quantidades de agrotóxicos, expondo os agricultores a possibilidade de intoxicações, o que hoje configura um problema de saúde pública no Brasil e no mundo. Foram utilizados instrumentos de cartografia, imagens de sensoriamento remoto LANDSAT TM5, interpretação e elaboração digital de mapas temáticos com o software ArcGIS e de sistemas de informação geográfica (SIG). Utilizando-se o coeficiente de Spearman o resultado de rsp=0,16 mostrou que há uma associação positiva entre municípios mineiros bataticultores e notificações por intoxicação por agrotóxicos, obtendo-se com o coeficiente de Poisson igualmente resultados positivos. Foram levantados e distribuídos pontos amostrais de cultivo de batata em Camanducaia-MG utilizando-se o método de quadrículas proposto por Unwin, resultando em superfície de interpolação pelo método de krigagem ordinária multivariada gaussiana. A esta superfície foram sobrepostas localidades nas quais agricultores foram submetidos a exames médicos nos anos de 2008 a 2010 e também outros usos do solo. Os resultados indicam que estas áreas de cultivo de batata do município de Camanducaia-MG abrangem pequenos produtores com probabilidade de intoxicação por agrotóxicos e empreendimentos relacionados à silvicultura podem impactar negativamente a agricultura familiar local / Abstract: The aim of this study is to characterize the family farm in order to establish its relations with the guidelines for land use and poisoning by pesticides in agriculture in Camanducaia, at environmentally protect area of Fernão Dias, Minas Gerais, using digital imaging, statistical analysis and cartographic materials. Camanducaia in the south region of Minas Gerais has a potato traditional cultivation but in decline relative to others regions and states and associate to a production management that demands lots amounts of pesticides, exposing farmers to the possibility of poisoning, which now sets a public health problem in Brazil and the world. Instruments were used for cartography, remote sensing images as LANDSAT TM5, digital interpretation and elaboration of thematic maps with ArcGIS software and geographic information systems (GIS). Using the Spearman coefficient the results of rsp = 0.16 showed that there is a positive association between the main growing counties and notifications of pesticide poisoning, and the Poisson's ratio also are positive results. Were collected and distributed sample points of potatoes crops at Camanducaia-MG using the method of quadrats proposed by Unwin, resulting in surface interpolation by the method of ordinary kriging and multivariate Gaussian. This surface was overlapping neighborhoods where local farmers were undergo medical examinations in the years 2008 to 2010 and also other land uses. The results indicate that these potato-growing areas of Camanducaia that includes small producers are likely to pesticide poisoning and projects related to forestry may negatively impact local family farming / Doutorado / Análise Ambiental e Dinâmica Territorial / Doutor em Ciências
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Dimensão fractal, dinâmica espacial e padrões de fragmentação urbana de cidades médias do estado de São Paulo / Fractal dimension, spatial dynamic and urban fragmentation patters of medium-sized cities of São paulo stateTrentin, Gracieli, 1983- 21 August 2018 (has links)
Orientador: Marcos César Ferreira / Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Geociências / Made available in DSpace on 2018-08-21T21:25:01Z (GMT). No. of bitstreams: 1
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Previous issue date: 2012 / Resumo: A maioria das metodologias convencionais empregadas em estudos urbanos não considera o grau de irregularidade dos perímetros e a complexidade morfológica das cidades, pois tendem a aproximar a forma urbana a geometria euclidiana. Entretanto, o fenômeno urbano pode ser também estudado, em sua forma real, a partir da geometria fractal. Neste caso, o grau de fragmentação e preenchimento urbano pode ser estimado a partir da dimensão fractal, contribuindo para analises da dinâmica espacial e temporal das formas urbanas. O objetivo desta pesquisa foi analisar a dinâmica de expansão urbana de um conjunto de cidades medias, com base na dimensão fractal e, posteriormente, identificar possíveis padrões de crescimento associados à fragmentação urbana. Foram escolhidas 14 cidades com população entre 100.000 e 500.000 habitantes, representando uma amostra do universo de cidades médias do estado de São Paulo. De acordo com a proposta de analise espaço-tempo em escala regional e a disponibilidade de material cartográfico, foram definidas quatro datas de analise da dinâmica espacial da forma urbana destas cidades: 1938, 1985, 1995 e 2005. Inicialmente, a expansão urbana das cidades foi mapeada e relacionada ao processo de urbanização paulista, destacando-se a influencia da rede viária na configuração urbana. Em seguida, a dimensão fractal foi estimada por meio de três métodos: Peri metro (PRE), perimetroarea (PAR) e densidade de ocupação (DOC). A análise dos resultados revelou grande dinâmica espacial e temporal nestas cidades, sobretudo entre 1938 e 1985 - fase de maior intensidade no processo de urbanização. Além disso, a rede viária mostrou ser determinante no direcionamento e definição dos principais eixos de expansão urbana. Estas características se refletiram nos valores de D calculados, os quais caracterizaram as cidades quanto à irregularidade, a complexidade e a fragmentação urbana. A variação temporal da dimensão fractal (D) demonstrou estar relacionado ao índice de forma, o que possibilitou a associação das formas urbanas a formatos alongados ou circulares. Com base nos valores de D para o método DOC - cuja variação foi maior no período - foram delimitados grupos de cidades para cada data de analise e para a dinâmica de todo o período (1938-2005). A partir deste agrupamento, foram definidos padrões de fragmentação urbana: formas fragmentadas; formas fragmentadas por imposições físicas e ambientais; e formas com maior regularidade. A caracterização dos grupos de cidades, com base na população, área, perímetro e fatores físico-geográficos dos sítios urbanos, possibilitaram observar diferenças quanto à fragmentação e preenchimento das formas ao longo do tempo. O comportamento espacial e temporal de cada padrão sugere a continuidade no crescimento urbano, com maior influencia do período recente, o que demonstra a existência de autocorrelação temporal no processo de fragmentação. Por fim, a dimensão fractal, utilizada como categoria de analise espacial, comprovou sua eficiência como método de monitoramento e mapeamento dinâmico de formas irregulares e complexas, como são as formas urbanas / Abstract: Most of the conventional methodologies employed in urban studies do not consider the level of perimeter irregularity and the morphological complexity of cities, because they tend to approximate the urban form to the Euclidean geometry. However, the urban phenomenon can also be studied in its real form, based on the fractal geometry. In this case, the urban grade fill and fragmentation can be estimated by fractal dimension (D), contributing to the analysis of the spatial and temporal dynamics of urban forms. The aim of this work was to analyze the urban sprawl dynamic of a set medium-sized cities, based on fractal dimension to identify possible grow patterns associated to urban fragmentation. We chose 14 cities with population between 100.000 and 500.000 inhabitants, which represents a sample of the total medium-sized cities in Sao Paulo state. According to the proposed space-time analysis at a regional scale and the availability of cartographic material, four dates were defined to analyze the spatial dynamic of urban forms: 1938, 1985, 1995 and 2005. Firstly, the urban sprawl was mapped and related to the Sao Paulo urbanization process, highlighting the influence of the road network on the urban configuration. Afterwards, the fractal dimension was estimated by three methods: perimeter-resolution (PRE), perimeterarea (PAR) and occupation density (DOC). The analysis of the results showed great spatial and temporal dynamic in these cities, mainly between 1938 and 1985 - a phase of greater intensity in the urbanization process. Furthermore, the road network was determinant in the direction and definition of the main axes of urban sprawl. These characteristics were reflected in the estimated D values, which characterized the cities as regards irregularity, complexity and urban fragmentation. The temporal changes in the fractal dimension were related to shape index, which enabled the association of urban forms to elongated or circular formats. Based on the D values for the DOC method - which presented greater variation in the period - groups of cities to each date of analysis and for the dynamic of the entire period (1938-2005) were delimited. From this grouping, the following urban fragmentation patterns were defined: fragmented forms; fragmented forms by environment and physical constraints; and forms with more regularity. The characterization of groups of cities was based on population, area, perimeter and physical-geographical factors of urban sites. This allowed to observe differences concerning the fill and fragmentation of forms a long time. The spatial and temporal behavior of each pattern suggests continuity in the urban growth, with a great influence from the most recent period, which demonstrates the existence of temporal autocorrelation in the fragmentation process. In conclusion, the fractal dimension used as a category for spatial analysis proved its efficiency as a dynamic mapping and monitoring method for complex and irregular forms, those observed in urban environments / Doutorado / Análise Ambiental e Dinâmica Territorial / Doutora em Ciências
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Evaluation of the Prevalence, Geographic Spending Variation, and Inpatient Inefficiency Accounting For Spatial Dependence among Medicare Beneficiaries with EpilepsyIp, Queeny, Ip, Queeny January 2017 (has links)
Spending trends vary greatly across medical conditions. Nervous system conditions comprising epilepsy has shown an increase in spending growth contrary to a decrease observed in aggregate spending growth of 15 condition categories from 2000 to 2010. Increases in total spending of a medical condition can be explained by an increase in either costs per case or the number of cases or in both elements. Determining the number of epilepsy cases and the cost to treat an individual with epilepsy helps to explain spending trends of the disease. Significant variation in overall Medicare spending across geographic regions unrelated to health outcomes has been well-documented. It is uncertain whether reducing payment rates to high-cost areas would curb spending growth without adversely affecting health care quality for Medicare beneficiaries. Reducing geographic variation is therefore, desirable only if the measured variation represents inefficiencies in the health system. In terms of health care, efficiency is a function of cost of care and quality of care. The identification of factors contributing to inefficiency may guide policy change for its improvement.
OBJECTIVES
The overall objective of this research was to evaluate the potential for change in prevalence of epilepsy cases, the magnitude of maximum inefficiency and factors contributing to inefficiency for the treatment of epilepsy among Medicare beneficiaries. The first specific aim was to determine whether there has been change in the prevalence of epilepsy among Medicare beneficiaries since 2005. The second aim examined the effects of two value-based programs on the geographic variation of Medicare spending per beneficiary. The third aim sought to identify influential factors driving inefficiency in inpatient care among the beneficiaries with epilepsy by examining cost and quality, accounting for spatial dependence.
METHODS
Analyses for all specific aims included individual-, county-, and state-level data. Individual-level medical data including beneficiaries’ age, race, sex, zip code, and utilization information five percent random sample were obtained from US Medicare administrative data (2011 to 2013). Epilepsy prevalence information for Medicare beneficiaries (2001 to 2005) was estimated by a previous study. County-level data were obtained from Area Health Resources Files (AHRF) and the American Community Survey. State-level data were obtained from State Physician Workforce Data Book; Dartmouth Atlas of Health Care; Centers for Medicare and Medicaid Services; Tracking Accountability in Government Grants System; US Department of Commerce; National Association of Epilepsy Centers; and US Census Bureau. Epilepsy cases were defined using Medicare claims data with any of the following International Classification of Disease-Version 9-Clinical Modification (ICD 9-CM) diagnostic codes: At least one ICD 9-CM 345.xx (epilepsy), or at least two ICD 9-CM 780.3x (seizure) claims occurring at least 30 days apart. Inpatient inefficiency was defined as a function of cost over quality. Inpatient cost was defined by state-level average adjusted inpatient services spending per hospital stay (AIH). The proxy measure for the quality of inpatient care for beneficiaries with epilepsy was the proportion of hospital stays with an epilepsy or seizure admission diagnosis (PHE). Association analysis was performed using the Spearman correlation coefficient. Generalized linear models with log link and gamma distribution were used for the adjusting and modeling of cost dependent variables. Spatial regression models were used when appropriate to account for spatial dependence.
RESULTS
The prevalence of epilepsy among older Medicare beneficiaries was estimated to be 22.2 cases per 1,000 persons (2011 to 2013). An increase was observed for all racial groups. However, the subgroup with highest prevalence estimate shifted from the younger age group of 65 to 69 years to the female, 85 years and older. Black beneficiaries persistently had the highest prevalence compared to other racial groups.
Analysis for the second specific aim showed that state-level total medical expenditures per beneficiary with epilepsy varied from 11,690 to 29,048 (average 19,890, SD 3,774, US$ 2013), 5.3 times the spending variation for those without epilepsy which ranged from 6,466 to 9,458 (average 7,631, SD 710, US$ 2013). Post-implementation of two value-based programs (hospital readmissions reduction program (HRRP) and the hospital value-based purchasing program (HVBP)), spending variation decreased for both the epilepsy and non-epilepsy cohorts (-14.6% and -9.0% respectively). The primary factor contributing to spending variation was health status for beneficiaries with epilepsy (51.9% of variation) and location of the beneficiary for those without epilepsy (26.1% of variation).
Analysis conducted to address the third specific aim showed that different factors influenced inefficiency in inpatient care of beneficiaries with epilepsy among US census regions. For the Northeast region, the number of primary physicians was an inefficiency factor. For the South region, inpatient inefficiency factors included the number of medical residents and fellows, proportion of physicians who were primary care physicians, and retention of physicians who graduated from an institution in the state of practice. Some evidence of defensive medicine was detected in the West region while no specific factors were influential to inpatient inefficiency in the Midwest region. The highest and lowest state-level average adjusted inpatient services spending per hospital stay (AIH) were observed in the District of Columbia (13,376 US$ 2013) and South Dakota (7,901 US$ 2013). Rhode Island (1.06%) had the lowest while Idaho (11.29%) had the highest proportion of hospital stays with an epilepsy admission diagnosis (PHE). Rhode Island also had the lowest inpatient inefficiency index or least inefficient (86) compared to the highest inpatient inefficiency index or most inefficient observed in Idaho (1,417).
CONCLUSION
The prevalence of epilepsy among Medicare beneficiaries appeared to have increased from previous estimates. Heterogeneity among the 48 contiguous states and District of Columbia with respect to inefficiency in inpatient care was detected. Across-the-board cost reduction policy based on cost alone may not be appropriate for all geographic areas across the US and may even be detrimental to health outcomes in some areas. On both national and regional level, inpatient inefficiency was significantly associated with PHE but not with AIH, indicating that the focus to decreasing inpatient inefficiency for beneficiaries with epilepsy should be based on increasing quality or decreasing PHE. Changes made to decrease PHE (increase in quality) may also increase AIH (increase in cost); therefore, it would be wise to monitor both cost and quality when considering policy change while focusing on quality improvement. Programs such as the HVBP and HRRP that link cost to outcomes appeared to be successful in reducing geographic variation of medical expenditures. Instead of total spending per individual, updated knowledge of the prevalence and cost per case treated for specific chronic medical conditions may better assist resource allocation, budget planning, and health program development.
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Crime hotspots: An evaluation of the KDE spatial mapping technique : Spatial analysisJohansson, Erik, Gåhlin, Christoffer January 2014 (has links)
Context Crime rates are increasing more and more, especially residential burglaries. This thesis includes a study of the Kernel Density Estimation algorithm, and how to use this algorithm for mapping crime patterns based on geographical data. By visualizing patterns as spatial hotspots, law-enforcements can get a better understanding of how criminals think and act. Objectives The thesis focuses on two experiments, including measuring the accuracy and performance of the KDE algorithm, as well as the analysis of the amount of crime data needed to compute accurate and reliable results. Methods A Prediction Accuracy Index is used to effectively measure the accuracy of the algorithm. The development of a Python test program, which is used for extracting and evaluating the results is also included in the study. Results The data from three geographical areas in Sweden, including Stockholm, Gothenburg and Malmoe are analyzed and evaluated over a time period of one year. Conclusions The study conclude that the usage of the KDE algorithm to map residential burglaries performs well overall when having access to enough crimes. The minimum number of crimes for creating a trustworthy hotspot are presented in the result and conclusion chapters. The results further shows that KDE performs well in terms of execution time and scalability. Finally the study concludes that the amount of data that was available for the study was not enough for producing highly reliable hotspots.
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Geospatial Data Indexing Analysis and Visualization via Web Services with Autonomic Resource ManagementLu, Yun 07 November 2013 (has links)
With the exponential growth of the usage of web-based map services, the web GIS application has become more and more popular. Spatial data index, search, analysis, visualization and the resource management of such services are becoming increasingly important to deliver user-desired Quality of Service.
First, spatial indexing is typically time-consuming and is not available to end-users. To address this, we introduce TerraFly sksOpen, an open-sourced an Online Indexing and Querying System for Big Geospatial Data. Integrated with the TerraFly Geospatial database [1-9], sksOpen is an efficient indexing and query engine for processing Top-k Spatial Boolean Queries. Further, we provide ergonomic visualization of query results on interactive maps to facilitate the user’s data analysis.
Second, due to the highly complex and dynamic nature of GIS systems, it is quite challenging for the end users to quickly understand and analyze the spatial data, and to efficiently share their own data and analysis results with others. Built on the TerraFly Geo spatial database, TerraFly GeoCloud is an extra layer running upon the TerraFly map and can efficiently support many different visualization functions and spatial data analysis models. Furthermore, users can create unique URLs to visualize and share the analysis results. TerraFly GeoCloud also enables the MapQL technology to customize map visualization using SQL-like statements [10].
Third, map systems often serve dynamic web workloads and involve multiple CPU and I/O intensive tiers, which make it challenging to meet the response time targets of map requests while using the resources efficiently. Virtualization facilitates the deployment of web map services and improves their resource utilization through encapsulation and consolidation. Autonomic resource management allows resources to be automatically provisioned to a map service and its internal tiers on demand. v-TerraFly are techniques to predict the demand of map workloads online and optimize resource allocations, considering both response time and data freshness as the QoS target. The proposed v-TerraFly system is prototyped on TerraFly, a production web map service, and evaluated using real TerraFly workloads. The results show that v-TerraFly can accurately predict the workload demands: 18.91% more accurate; and efficiently allocate resources to meet the QoS target: improves the QoS by 26.19% and saves resource usages by 20.83% compared to traditional peak load-based resource allocation.
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Espacialização do potencial e custos da cogeração a partir da palha da cana de açúcar no estado de São Paulo / Spatial approach of costs and the potential straw to energy in São Paulo stateCervi, Walter Rossi, 1989- 27 August 2018 (has links)
Orientadores: Rubens Augusto Camargo Lamparelli, Jansle Vieira Rocha / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Agrícola / Made available in DSpace on 2018-08-27T22:15:12Z (GMT). No. of bitstreams: 1
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Previous issue date: 2015 / Resumo: Com o aumento das questões ambientais na avaliação do processo produtivo da bioenergia, o setor sucroenergético nacional tem investido boa parte dos seus recursos em parcerias, com foco na pesquisa e desenvolvimento, no intuito de maximizar o uso dos seus produtos e subprodutos. Referente à fase agrícola, o recente processo de mecanização da colheita da cana de açúcar tem motivado uma série de estudos sobre as possibilidades de recuperação da palha no campo para geração de bioeletricidade. Nesse sentido, o estado de São Paulo, em virtude da sua representatividade nacional nessa atividade e da grande demanda por energia, necessita com certa urgência estudos sobre as possibilidades de expansão dessa atividade, através de um planejamento que envolva análises do potencial, projeções de demandas e viabilidade econômica. Nesse quadro, este trabalho tem como objetivo realizar a análise do potencial de palha das usinas de bioenergia do estado de São Paulo, bem como uma análise de viabilidade econômica, utilizando para tanto, instrumentos de análise espacial, como os Sistemas de Informação Geográfica e dados de Sensoriamento Remoto. O estudo, portanto, foi dividido em dois artigos, onde no primeiro se observou o potencial de cada usina do estado na exploração de palha, e o segundo analisou os potenciais custos de implantação dessa atividade. Para ambos os artigos, algumas premissas tiveram que ser assumidas em virtude da escala de planejamento que foi trabalhado, que influenciaram diretamente na precisão da informação. Contudo, os resultados alcançados no primeiro artigo, sob a ótica de subsídios para políticas públicas energéticas, foram encorajadores, pois forneceram diagnósticos espacializados sobre a alta possibilidade das usinas do estado em explorar a palha para cogeração, uma vez que os resultados mostraram que esse sistema poderia atender boa parte do estado, em cenários a curto e médio prazo. No segundo artigo, os resultados possibilitaram avaliar os custos referentes a cada etapa do processo de cogeração pela palha da cana, para cada usina. Desta forma avaliou-se, com base na metodologia espacial adotada, que na etapa agrícola a rota de recuperação por colheita integral se mostrou economicamente mais vantajosa que a rota de enfardamento; referente ao processo de cogeração, avaliou-se, com base no fator de escala, que as usinas com maior potencial de cogeração pela palha possuem menor investimento específico por KW instalado; e por fim, referente a transmissão, algumas usinas, em virtude da distância até as subestações coletoras necessitam de um maior investimento em transmissão, sendo estas, menos propensas a recuperar a palha para energia / Abstract: The increase of environmental concerns to assess bioenergy supply chain has been played an important role in the Brazilian sugarcane sector, once they are starting to fund partnerships in research and development, in a pursuit to maximize their goods. Regarding the agricultural phase, the recent mechanical harvest has encouraged a plenty of new studies concerning straw recovery from the field for energy purposes. In this perspective, the state of São Paulo, the major player in this scenario, requires planning studies urgently in order to assess the potential availability, the demand side and the economic constraints of the sugarcane straw to energy. At this framework, this study aims to carry out the potential straw to energy assessment of the bioenergy mills from state of São Paulo, as well as an economic analysis, using for that spatial analysis materials such as Geographic Information Systems and Remote Sensing data. Therefore, the study is divided into two papers, where the first paper analyzed the straw to energy potential while the second paper analyzed the potential costs of straw to energy. For both papers, some assumptions were taken due to the scale of the planning analyzed, which has a major impact on a local level application. However, the results achieved in the first paper were encouraging from the public policies perspective, once they provide good spatial insights about the potential straw to energy in a short and medium term. In the second paper, the results allowed to assess each type of cost in the straw to energy system, at a mill level. Thus, based on the spatial methodology adopted, in the agricultural phase the integral harvest proved to be more profitable than the baling system of straw recovery; regarding the cogeneration process, based on the scale factor, the mills with more straw to energy potential have a low investment per KW installed; and regarding the transmission phase, some mills due to the distance to the nearby electrical substation are less likely to recover straw to energy / Mestrado / Gestão de Sistemas na Agricultura e Desenvolvimento Rural / Mestre em Engenharia Agrícola
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Isotropy test and variance estimation for high order statistics of spatial point processMa, Tingting 01 January 2011 (has links)
No description available.
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Aplikace teorie multikriteriálního rozhodování v GIS v lokalitě Nový Lískovec / Application of the Decission Making Theory in GIS in the locality of Nový LískovecHírešová, Tatiana January 2016 (has links)
The diploma thesis deals with multicriterial analysis in geographic information systems. Multricriterial decision making is applied in locality of Nový Lískovec and deals with problems connected with housing in panel block of flats located in this locality. The main aim of the thesis is use right method for multicriterial evaluation of this locality by the most important criteria for housing, graphical expression of these factors by GIS and assessment and evaluation the best variants resulting from specific values of criteria. In the thesis is subsequently addressed issue of GIS, multicriterial decision making, locality of Nový Lískovec, collection of input documents and process of spatial analysis. The thesis points out at the application GIS for estate agencies or others organizations providing housing offers and graphical displaying the best variants based on a many search-housing criteria.
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GIS ANALÝZY V PROSTŘEDÍ INFORMAČNÍCH MODELŮ STAVEB / GIS ANALYSIS IN BUILDING INFORMATION MODELSČerný, Martin Unknown Date (has links)
This dissertation thesis are concerned about the Geographic Information Systems (GIS) and spatial analyses inside of the Building Information Models (BIM). BIM and GIS are compared from different points of view like data organization, geometry types and modelling paradigms. Results of this comparisons are applied in the first case study where BIM data in IFC format are converted to the SHP format usable for spatial analyses in GIS. The results of the case study are evaluated and new approach for spatial analyses in BIM models is proposed based on the results. The new proposed approach is based on the semantic relations existing in the BIM models. Thesis are concluded with the future development which is in line with authors actual focus.
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