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Дисертації з теми "Geographically Weighted Panel Regression"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Miller, Karen M. "Geographically weighted regression and an extension." Master's thesis, University of Cape Town, 2008. http://hdl.handle.net/11427/4388.

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2

Kordi, Maryam. "Geographically weighted spatial interaction (GWSI)." Thesis, University of St Andrews, 2013. http://hdl.handle.net/10023/4112.

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One of the key concerns in spatial analysis and modelling is to study and analyse similarities or dissimilarities between places over geographical space. However, ”global“ spatial models may fail to identify spatial variations of relationships (spatial heterogeneity) by assuming spatial stationarity of relationships. In many real-life situations spatial variation in relationships possibly exists and the assumption of global stationarity might be highly unrealistic leading to ignorance of a large amount of spatial information. In contrast, local spatial models emphasise differences or dissimila

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3

Yang, Wenbai. "An extension of geographically weighted regression with flexible bandwidths." Thesis, University of St Andrews, 2014. http://hdl.handle.net/10023/7052.

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Various statistical methods have been developed for local spatial analysis. Among them Geographically Weighted Regression (GWR) is a simple yet powerful method to explore spatially varying relationships between variables. This thesis examines how GWR can be extended to investigate spatially varying relationships at various geographical scales within one model. GWR assumes that observations near to a regression location have more influence on the estimation of local regression coefficients than do observations farther away. A single bandwidth is employed in basic GWR to control the rate of dist

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4

Sikdar, Khokan Chandra. "Application of geographically weighted regression for assessing spatial non-stationarity /." Internet access available to MUN users only, 2003. http://collections.mun.ca/u?/theses,172881.

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5

HE, Xin. "Modeling church services supply and performance, using geographically weighted regression." Thesis, University of Gävle, Ämnesavdelningen för samhällsbyggnad, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-5801.

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<p>The objective of this study is to develop a multiple linear regression model that measures the relationship between the church services supply and the attendance to the services in the Uppsala diocese, Church of Sweden. By reviewing previous models and examining the nature of data available, two research questions were introduced, namely, the problem of omitted variables and the problem of spatial autocorrelation. For the first question, two methods were compared, namely, the Y-lag method and the first-differenced equation. Statistical tests then showed that the latter was more preferable f

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6

Burke, Tommy. "Evaluation of visualisations of geographically weighted regression, with perceptual stability." Thesis, University of St Andrews, 2016. http://hdl.handle.net/10023/15680.

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Given the large volume of data that is regularly accumulated, the need to properly manage, efficiently display and correctly interpret, becomes more important. Complex analysis of data is best performed using statistical models and in particular those with a geographical element are best analysed using Spatial Statistical Methods, including local regression. Spatial Statistical Methods are employed in a wide range of disciplines to analyse and interpret data where it is necessary to detect significant spatial patterns or relationships. The topic of the research presented in this thesis is an e

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7

Yamashita, Kiyoshi. "Understanding urban fire: Modeling fire incidence using classical and geographically weighted regression." Connect to online resource, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1453557.

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8

Huang, Lixin. "Predicting Hurricane Evacuation Decisions: When, How Many, and How Far." FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/461.

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Traffic from major hurricane evacuations is known to cause severe gridlocks on evacuation routes. Better prediction of the expected amount of evacuation traffic is needed to improve the decision-making process for the required evacuation routes and possible deployment of special traffic operations, such as contraflow. The objective of this dissertation is to develop prediction models to predict the number of daily trips and the evacuation distance during a hurricane evacuation. Two data sets from the surveys of the evacuees from Hurricanes Katrina and Ivan were used in the models' development.

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9

Ounsi, Karim. "Geographically Weighted Regression as a Predictive Tool for Station-Level Ridership : The Case of Stockholm." Thesis, KTH, Transportplanering, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259500.

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This thesis studies a new regression method, Geographically Weighted Regression (GWR)to predict ridership at the station level for future stations. The case study of Stockholm’s blue lineis used as new stations will be built by 2030. This paper is written in English.Historically, linear regression methods, independent of the geographical location of theobservations, was and is still used as the Ordinary Least Square regression method. With the riseof GIS-softwares these last decades, geographically dependent regression can be used and previouspreliminary studies have shown a dependency between

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10

White, Megan L. "ASSOCIATING SEVERE THUNDERSTORM WARNINGS WITH DEMOGRAPHIC AND LANDSCAPE VARIABLES: A GEOGRAPHICALLY WEIGHTED REGRESSION-BASED MAPPING OF FORECAST BIAS." UKnowledge, 2014. http://uknowledge.uky.edu/geography_etds/20.

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Severe thunderstorm warnings (SVTs) are released by meteorologists in the local forecast offices of the National Weather Service (NWS). These warnings are issued with the intent of alerting areas in the path of severe thunderstorms that human and property risk are elevated, and that appropriate precautionary measures should be taken. However, studies have shown that the spatial distribution of severe storm warnings demonstrates bias. Greater numbers of severe thunderstorm warnings sometimes are issued where population is denser. By contrast, less populated areas may be underwarned. To investig

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11

Klar, Robert Günther. "Geographically Weighted Regression based Investigation of Transport Policies for Increased Public Transport Ridership : A Case Study of Stockholm." Thesis, KTH, Transportplanering, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302708.

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Public transport plays a vital role in society as the economy, the degree of sustainability and the qualityof life of a city is directly affected by transportation. A shift in modal share towards public transport isassociated with many benefits such as increased air quality and improved space allocation within thecity. To further promote public transport, an appropriate measure of competitiveness is required toevaluate the impact of past and future transport policies. This study introduces the journeys per capitaratio as a new way of measuring public transport competitiveness. Firstly, the key

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12

Han, Ruibo. "Urban Transformation in China: From an Urban Ecological Perspective." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23246.

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China has undergone significant urban growth and industrialization over the last 30 years and its incredible development continues to move ahead at an increasingly rapid pace. In terms of urban expansion, China has just recently surpassed the world’s average urbanization rate of 50%, as it moves its massive population from rural to urban areas at an astonishing speed. It’s massive population and fast urbanizing speed aside, China is also unique in terms of its socio-political system and historical-cultural context: it is a hybrid of government planning and market forces. Since it encompasses a

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13

Olson, Michael G. "Remote Sensing of Forest Health Trends in the Northern Green Mountains of Vermont." ScholarWorks @ UVM, 2012. http://scholarworks.uvm.edu/graddis/172.

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Northeastern forests are being impacted by unprecedented environmental stressors, including acid deposition, invasive pests, and climate change. Forest health monitoring at a landscape scale is necessary to evaluate the changing condition of forest resources and to inform management of forest stressors. Traditional forest health monitoring is often limited to specific sites experiencing catastrophic decline or widespread mortality. Satellite remote sensing can complement these efforts by providing comprehensive forest health assessments over broad regions. Subtle changes in canopy health c

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14

Gaspard, Guetchine. "FLOOD LOSS ESTIMATE MODEL: RECASTING FLOOD DISASTER ASSESSMENT AND MITIGATION FOR HAITI, THE CASE OF GONAIVES." OpenSIUC, 2013. https://opensiuc.lib.siu.edu/theses/1236.

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This study aims at developing a model to estimate flood damage cost caused in Gonaives, Haiti by Hurricane Jeanne in 2004. In order to reach this goal, the influence of income, inundation duration and inundation depth, slope, population density and distance to major roads on the loss costs was investigated. Surveyed data were analyzed using Excel and ArcGIS 10 software. The ordinary least square and the geographically weighted regression analyses were used to predict flood damage costs. Then, the estimates were delineated using voronoi geostatistical map tool. As a result, the factors account

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15

Thickstun, Charles Russell. "Spatial Variation in Risk Factors for Malaria in Muleba, Tanzania." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39082.

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Despite the rich knowledge surrounding risk factors for malaria, the spatial processes of malaria transmission and vector control interventions are underexplored. This thesis aims 1) to describe the spatial variation of risk factor effects on malaria infection, and 2) to determine the presence and range of any community effect from malaria vector control interventions. Data from a cluster-randomized control trial in Tanzania were analyzed to determine the geographically-weighted odds of malaria infection in children at trial baseline and post-intervention. The spatial range of intervention eff

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16

Moore, David. "A Spatial Approach to Analyzing Energy Burden and its Drivers." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1617107843434237.

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17

Haasch, Justin Miles. "Statistical Models used to Identify new Urban Development in Cuyahoga County, Ohio: A Methodological Comparison." University of Akron / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=akron1290663731.

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18

Wang, Ning. "PM2. 5 And lung cancer mortality in China: Spatial and temporal analysis." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/208268/1/Ning_Wang_Thesis.pdf.

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Lung cancer has become the leading cause of cancer-related deaths in China. The effect of ambient particulate matter with a diameter of 2.5μm or less (PM2.5) on lung cancer has received wide public attention. This thesis identified the spatial and temporal patterns and trends of lung cancer mortality among different subpopulations in China. The robust spatial and temporal regression models were used to assess the short- and long-term relationships between PM2.5 and lung cancer mortality. The findings will help policy-makers design more targeted and stringent PM2.5 control measures to curb

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19

Haghighattalab, Atena. "High-throughput phenotyping of large wheat breeding nurseries using unmanned aerial system, remote sensing and GIS techniques." Diss., Kansas State University, 2016. http://hdl.handle.net/2097/34486.

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Doctor of Philosophy<br>Department of Geography<br>Douglas G. Goodin<br>Jesse A. Poland<br>Kevin Price<br>Wheat breeders are in a race for genetic gain to secure the future nutritional needs of a growing population. Multiple barriers exist in the acceleration of crop improvement. Emerging technologies are reducing these obstacles. Advances in genotyping technologies have significantly decreased the cost of characterizing the genetic make-up of candidate breeding lines. However, this is just part of the equation. Field-based phenotyping informs a breeder’s decision as to which lines move forwar

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20

Gilbert, Angela. "Air Toxics and Equity: A Geographic Analysis of Environmental Health Risks in Florida." [Tampa, Fla] : University of South Florida, 2009. http://purl.fcla.edu/usf/dc/et/SFE0003033.

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21

Krystosik, Amy Robyn. "CHIKUNGUNYA, DENGUE, AND ZIKA IN CALI, COLOMBIA: EPIDEMIOLOGICAL AND GEOSPATIAL ANALYSES." Kent State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=kent1481111225042036.

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22

Eisman, Elyktra. "GIS-integrated mathematical modeling of social phenomena at macro- and micro- levels—a multivariate geographically-weighted regression model for identifying locations vulnerable to hosting terrorist safe-houses: France as case study." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/2261.

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Adaptability and invisibility are hallmarks of modern terrorism, and keeping pace with its dynamic nature presents a serious challenge for societies throughout the world. Innovations in computer science have incorporated applied mathematics to develop a wide array of predictive models to support the variety of approaches to counterterrorism. Predictive models are usually designed to forecast the location of attacks. Although this may protect individual structures or locations, it does not reduce the threat—it merely changes the target. While predictive models dedicated to events or social rela

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23

BARRECA, ALICE. "20th century ¿invisible¿ heritage: qualities and values in the real estate market." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2910080.

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24

Neto, Luiz Gonzaga Medeiros. "Mapeamento pedológico digital via regressão geograficamente ponderada e lógica booleana: uma estratégia integrada entre dados espectrais terrestres e de satélite." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/11/11140/tde-03082017-114840/.

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Mapas pedológicos são importantes fontes de informação necessárias à agricultura, mas praticamente inexistentes em escalas adequadas para o Brasil, e seu levantamento pelo método convencional para a demanda brasileira é inviável. Como alternativa ao problema, mapeamento pedológico digital apresenta-se como uma área do conhecimento que envolve as relações das informações de campo, laboratório e pontuais de solos com métodos quantitativos via imagens de satélite e atributos do relevo para inferir atributos e classes. A literatura destaca, portanto, a importância do estudo da posição espacial de

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25

Hong, Chansun. "THE SPATIAL SPILLOVER IMPACT OF LAND BANK PROPERTIES ON NEARBY HOME SALE VALUES IN CLEVELAND, OH." Cleveland State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=csu1544926509521173.

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26

Walczak, Katarzyna I. "Prototype decision support framework using geospatial technologies for analysing human health risk." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/103630/1/Katarzyna%20Izabella_Walczak_Thesis.pdf.

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This thesis concentrates on the development of a prototype Decision Support Framework based on the landscape epidemiology concept and using GIS to determine human health risk in Semarang (Indonesia). This site was selected as representative of a rapidly urbanizing area in a developing country. The decision support framework examines climatic, landscape and socio-economic factors identified as having significant impacts on water quality and subsequent causation of waterborne and water-related diseases. The research outcomes potentially may be applied worldwide to identify and isolate areas most

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27

Deilami, Kaveh. "Modelling the urban heat island intensities of alternative urban growth management policies in Brisbane." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/107656/1/Kaveh_Deilami_Thesis.pdf.

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When urban areas experience higher temperature than their surrounding rural areas, this phenomenon is called the urban heat island (UHI) effect. UHI contributes to global warming. Urban planning policy plays a significant role in controlling the UHI. This study examines the UHI effects of urban planning policy scenarios for Brisbane, including: a) business as usual; b) transit oriented development; c) infill development; d) motorway oriented development; and e) sprawl development. The findings show Infill development will be effective but will generate pockets of extreme UHI. Sprawl developmen

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28

Kurji, Jaameeta. "Assessing the Determinants of Maternal Healthcare Service Utilization and Effectiveness of Interventions to Improve Institutional Births in Jimma Zone, Ethiopia." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42162.

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The strong emphasis placed on improving equality and well-being for all in the Sustainable Development Goals underscores the importance of tackling persistent within-country disparities in maternal mortality and poor health outcomes. Addressing maternal healthcare access barriers is, thus, crucial, particularly in low-resource settings. Numerous studies investigating determinants of maternal healthcare service use in Ethiopia exist but are limited by their focus on individual and household factors, and by methodological weaknesses. A nuanced understanding of the role of socioeconomic and geogr

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29

Kala, Abhishek K. "Spatially Explicit Modeling of West Nile Virus Risk Using Environmental Data." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc822841/.

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West Nile virus (WNV) is an emerging infectious disease that has widespread implications for public health practitioners across the world. Within a few years of its arrival in the United States the virus had spread across the North American continent. This research focuses on the development of a spatially explicit GIS-based predictive epidemiological model based on suitable environmental factors. We examined eleven commonly mapped environmental factors using both ordinary least squares regression (OLS) and geographically weighted regression (GWR). The GWR model was utilized to ascertain the i

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30

Zhang, Li Qin. "A Social-Ecological Understanding of Urbanization: A Case of Wuhan, China." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42738.

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Since the introduction of economic reforms in the late 1970s, China has experienced phenomenal economic growth along with rapid urbanization. The accelerated urbanization coincides with remarkable social-economic transformations and urban landscape changes. A city, as an urban system, is composed of social and physical subsystems that interact with each other. Equally assessing each component is necessary for a comprehensive understanding of the urbanization process. The goal of this thesis research is to deconstruct the urbanization process through a social-ecological perspective. More speci

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31

Gomes, Monique Martins. "Spatial crash prediction models: an evaluation of the impacts of enriched information on model performance and the suitability of different spatial modeling approaches." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/18/18144/tde-18022019-112104/.

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The unavailability of crash-related data has been a long lasting challenge in Brazil. In addition to the poor implementation and follow-up of road safety strategies, this drawback has hampered the development of studies that could contribute to national goals toward road safety. In contrast, developed countries have built their effective strategies on solid data basis, therefore, investing a considerable time and money in obtaining and creating pertinent information. In this research, we aim to assess the potential impacts of supplementary data on spatial model performance and the suitability

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32

Oliveira, Márcio de. "Limnologia da paisagem com uso de regressão geograﬁcamente ponderada: estudo da qualidade da água na represa de Chapéu D’Uvas, MG". Universidade Federal de Juiz de Fora (UFJF), 2018. https://repositorio.ufjf.br/jspui/handle/ufjf/7176.

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Submitted by Renata Lopes (renatasil82@gmail.com) on 2018-06-18T13:56:01Z No. of bitstreams: 1 marciodeoliveira.pdf: 54067664 bytes, checksum: a5c84df2cc84ff15fc4881a06fd4f6ae (MD5)<br>Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2018-09-03T16:07:04Z (GMT) No. of bitstreams: 1 marciodeoliveira.pdf: 54067664 bytes, checksum: a5c84df2cc84ff15fc4881a06fd4f6ae (MD5)<br>Made available in DSpace on 2018-09-03T16:07:04Z (GMT). No. of bitstreams: 1 marciodeoliveira.pdf: 54067664 bytes, checksum: a5c84df2cc84ff15fc4881a06fd4f6ae (MD5) Previous issue date: 2018

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33

Mejia, Alzate Mario Andres [UNESP]. "Previsão espaço-temporal de demanda incluindo alterações nos hábitos de consumidores residenciais." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/148538.

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Submitted by MARIO ANDRES MEJIA ALZATE (marioandretty_17@hotmail.com) on 2017-01-15T06:04:36Z No. of bitstreams: 1 Dissertação Mestrado_final_1 (2).pdf: 10151663 bytes, checksum: 19b32f17aadb3d9188da99327b13cc74 (MD5)<br>Approved for entry into archive by LUIZA DE MENEZES ROMANETTO (luizamenezes@reitoria.unesp.br) on 2017-01-19T17:23:34Z (GMT) No. of bitstreams: 1 mejiaalzate_ma_me_ilha.pdf: 10151663 bytes, checksum: 19b32f17aadb3d9188da99327b13cc74 (MD5)<br>Made available in DSpace on 2017-01-19T17:23:34Z (GMT). No. of bitstreams: 1 mejiaalzate_ma_me_ilha.pdf: 10151663 bytes, checksum:

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Mejia, Alzate Mario Andres. "Previsão espaço-temporal de demanda incluindo alterações nos hábitos de consumidores residenciais /." Ilha Solteira, 2016. http://hdl.handle.net/11449/148538.

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Orientador: Antonio Padilha Feltrin<br>Resumo: Neste trabalho é apresentado um método que permite determinar o crescimento espaço-temporal da demanda de energia elétrica devido às mudanças nos hábitos de consumo no setor residencial. A proposta é baseada em uma regressão ponderada geograficamente que permite determinar a localização espacial dos setores com maior proporção de residências candidatas para comprar um novo eletrodoméstico, e uma regressão de distribuição logística que permite simular em cada setor, como vai ser o crescimento ao longo do tempo dessa proporção de residências candida

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35

Yan, Yin-Jhen, and 顏吟真. "Geographically Weighted Autoregressive Quantile Regression." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/23202505988854401388.

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碩士<br>淡江大學<br>統計學系碩士班<br>100<br>Geographically Weighted Regression (GWR; Brunsdon et al., 1998) and Quantile Regression (QR; Koenker and Bassett, 1978) are two important tools respectively in geography and econometrics in analyzing various issues of empirical studies. The former is designed to explore spatial nonstationarity and the latter is constructed to model relationships among variables across the whole distribution of a dependent variable. While both of these methods have been widely used in literature, they seem to be two unconnected lines of knowledge inquiry until recently (Chen et a

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36

"Multiscale Geographically Weighted Regression: Computation, Inference, and Application." Doctoral diss., 2020. http://hdl.handle.net/2286/R.I.62657.

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abstract: Geographically Weighted Regression (GWR) has been broadly used in various fields to model spatially non-stationary relationships. Classic GWR is considered as a single-scale model that is based on one bandwidth parameter which controls the amount of distance-decay in weighting neighboring data around each location. The single bandwidth in GWR assumes that processes (relationships between the response variable and the predictor variables) all operate at the same scale. However, this posits a limitation in modeling potentially multi-scale processes which are more often seen in the rea

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37

Quirós-Segovia, María. "Utilization of geographically weighted regression (GWR) in forestry modeling." Master's thesis, 2015. http://www.nusl.cz/ntk/nusl-190857.

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The diploma thesis is focused on the application of the Geographically Weighted Regression (GWR) in forestry models. This is a prospective method for coping with spatially heterogeneous data. In forestry, this method has been used previously in small areas with good results, but in this diploma thesis it is applied to a bigger area in the Region of Murcia, Spain. Main goal of the thesis is to evaluate GWR for developing of large scale height-diameter model based on data of National Forest Inventory of Spain. Final model is compared with local height-diameter model on validation plots. The obta

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Lin, Chia-Hsing, and 林家興. "Comparison of Real Estate Valuation Through Geographically Weighted Regression." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/rhgues.

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碩士<br>國立政治大學<br>地政學系<br>107<br>In recent years, with the implementation of the real estate actual price registration policy, the Ministry of the Interior has constructed a real estate database with large number of actual transaction cases. Real estate valuation can be improved if the database is properly used. It is important to establish a valuation model that can quickly and reliably assess the value of real estate. However, the Hedonic Price Method, which is often used in current real estate valuations, is a global analysis method that does not consider spatial and temporal heterogeneity. T

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Lin, Yen-Chen, and 林彥辰. "Analysis of Dengue Risk Characteristics using Geographically Weighted Quantile Regression." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/7p7n2v.

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碩士<br>淡江大學<br>統計學系應用統計學碩士班<br>106<br>As the global warming getting serious, the Dengue fever gradually become a global public health concern. In recent years, the epidemic of the Dengue fever frequently occurs in Taiwan. However, researchers in the past focus in the southern of Taiwan, using spatial analysis to determine the epidemic. In this paper, we will focus the epidemic of Dengue fever all over Taiwan in 2015, using epidemic risk index to process spatial analysis. The data used for dengue fever data on Taiwan’s townships in 2015.The dengue fever epidemic is the spatial imbalance. The dat

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Chen, Yu-Fen, and 陳郁雰. "Geographically Weighted Regression Analysis of Township-level Suicide Rates in Taiwan." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/s73kf2.

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碩士<br>淡江大學<br>統計學系碩士班<br>102<br>Past years have witnessed an increasing interest in researches that integrate a spatial analytical perspective to explore associations of various area characteristics with suicide rates in Taiwan. The common practice has often been to use a ’single’ regression equation to estimate the associations of interest, While such ’global’ spatial modeling procedure is widely used for studies of suicide in Taiwan, little attention has been paid to investigate the local spatial association, known as spatial nonstationarity. This study thus aims to address such empirical an

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Chang-Jui, Chen, and 陳章瑞. "Using Geographically Weighted Regression Model on the Neighborhood Effects of Urban Park." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/87775422723880272570.

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博士<br>中國文化大學<br>建築及都市計畫研究所<br>97<br>An urban park can bring multiple benefits of, such as, recreation, hazard prevention, climate adjustment etc. It is difficult to measure the value for each benefit. However, as a kind of quasi-public goods, its amenity benefit will capitalize into the prices of the surrounding real properties and present the spatial dimensions of positive neighborhood effects, localized externalities and localized amenities benefits. By way of identifying the characteristics of the urban park, and incorporating them with other local neighborhood characteristics of a real pro

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Ferreira, Henriette da Conceição de Sousa. "Análise espacial dos resultados eleitorais em Portugal – Aplicação do Geographically Weighted Regression." Master's thesis, 2010. http://hdl.handle.net/10362/8413.

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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação.<br>O presente trabalho aborda a temática dos estudos sobre a análise espacial dos resultados eleitorais em Portugal. Os resultados eleitorais quer ao nível das eleições legislativas quer das autárquicas exibem tendências geográficas onde a influência de vários factores parece ser evidente. A abordagem analítica dos resultados eleitorais de um país sugere que se tenham em conta variados efeitos contextuais, nomeadamente, as diferenças etárias nas diversas regiões, diferen

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Yang, Hsiao-Po, and 楊孝博. "An empirical study of the demand for railway station: geographically weighted regression approach." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/79741028706771861801.

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碩士<br>國立臺灣大學<br>地理環境資源學研究所<br>99<br>Due to the opening of Taiwan high speed railway, conventional railway （Taiwan Railway Administration, TRA）faced an impact in the middle and long-term trips. TRA has change their operational policy under the TRA Rapid-Transit-Systematize Project in three goals: increasing the density of stations, increasing the frequency of trains and consolidation the types and tickets of train. The issue we concerned in this project today is how to increase the density of station reasonable by doing railway demand analysis and forecasting. There are several models use t

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Cheng, Chih Yin, and 程稚茵. "The Price Distribution of Detached Houses and Condominiums in Taichung: Geographically Weighted Regression Approach." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/23439853442066690878.

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碩士<br>國立政治大學<br>地政學系碩士在職專班<br>104<br>Locational characteristics are the determinants of house prices. While former research have examined the effects of proximity to resources and facilities have on residential property values, and the change of the importance as located regions or submarkets vary, the effects of different types of houses are rarely compared due to their dissimilarity in ways of building and ownership. Do house price effects of the same facility alter when properties are situated in different submarkets? Further, the issues of spatial non-stationarity are usually overlooked by

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Huang, Cheng-Hsun, and 黃政勛. "Factor Analysis of Unused Public Facilities in Taiwan : Geographically Weighted Regression as the Tool." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/h3c48q.

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碩士<br>世新大學<br>行政管理學系<br>104<br>Based on the number of Unused Public Facilities in Taiwan, this study makes use of Geographically Weighted Regression(GWR) to analyze Unused Public Facilities by the Public Construction Commisssion over 2010-2015, United Daily News, China Times, Global Views Monthly over 2004-2015 and random inspection of Disused Public Property in Taiwan over 2010-2016 and so on, recorded of population density, Gross Consolidated Income, road density to proceed with the analysis of Traditional Regression Models and Geographically Weighted Regression Model. Overall results show

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YU-YU, HUANG, and 黃于祐. "A Spatial Analysis of Factors Affecting Housing Price in Taipei –Geographically Weighted Regression Approach." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/17125276976593425171.

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碩士<br>國立臺北大學<br>都市計劃研究所<br>96<br>Traditional statistics technology is nothing more than to probe into the relation among the price of the house attribute by regression method. There are a lot of paper that was probed into the price of the house in the past, and no matter the inside, outside or social economic attributes of the house, mostly using hedonic price method to estimate the hedonic price of the house, but this method has a shortcoming, that is all position conditions by way of “Homogeneity district “, especially directs against the external environment condition, only get ' the single

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Dadi, Berhanu Berga. "Modeling malaria cases associated with environmental risk factors in Ethiopia using geographically weighted regression." Master's thesis, 2020. http://hdl.handle.net/10362/95138.

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Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies<br>In Ethiopia, still, malaria is killing and affecting a lot of people of any age group somewhere in the country at any time. However, due to limited research, little is known about the spatial patterns and correlated risk factors on the wards scale. In this research, we explored spatial patterns and evaluated related potential environmental risk factors in the distribution of malaria cases in Ethiopia in 2015 and 2016. Hot Spot Analysis (Getis-Ord Gi* statistic) was

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Wang, Yi An, and 王一安. "A Geographically Weighted Poisson Regression Analysis of Township-Level Dengue Fever Data in Taiwan." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/78591244980756178325.

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碩士<br>淡江大學<br>統計學系碩士班<br>104<br>Recent years the Dengue fever has continued to spread. In 2015, the number of cases exceeded 40,000. In the past, researchers mainly focused on researching the Dengue fever in Kaohsiung, Tainan and Pingtung, where the epidemic was more serious. They rarely discussed the epidemic all over Taiwan. In general, incidence usually described the severity of the epidemic in the study of Dengue fever. Also, in the field of epidemiology the Poisson Regression Model is commonly used in disease analysis, especially in the rare disease. In this thesis, we focused on analyzin

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Ni, Ju-Lin, and 倪如霖. "The Factors Contributing to Youbike Usage: Application of Geographically Weighted Regression and Functional Data Analysis." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/64u3n2.

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碩士<br>國立交通大學<br>運輸與物流管理學系<br>105<br>With the rapid growth of urban in recent years，the demand of transportation increases significantly. CO2 emissions and green house effect become a major challenge. Therefore, environmental protection and sustainable development attract everyone's attention. Governments begin to encourage people to walk, ride a bike as a tool between the public transit. Public bicycle system has become a policy priority in urban planning about CO2 reduction modern, in order to let the public bicycle system to maximize the effectiveness of resources and the objective of sust

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Shish-JengKong and 江燮珍. "Applying geographically and temporally weighted regression and analysis to monitor reservoir water quality from satellite images." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/8ax562.

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碩士<br>國立成功大學<br>測量及空間資訊學系<br>104<br>The population and economic growth has led to the recently increasing demand for water. Water reservoirs are the primary source of drinking water, such that, monitoring reservoir water quality is important. The traditional water quality monitoring approach collects data at sampling points, and then, transports water samples to the laboratory for water quality analysis. However, the traditional method is not representative of the entire reservoir water quality because only a few locations are sampled. Therefore, this study combines Formosat-2 satellite images

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