Cargando…

A modification to geographically weighted regression

BACKGROUND: Geographically weighted regression (GWR) is a modelling technique designed to deal with spatial non-stationarity, e.g., the mean values vary by locations. It has been widely used as a visualization tool to explore the patterns of spatial data. However, the GWR tends to produce unsmooth s...

Descripción completa

Detalles Bibliográficos
Autores principales:	Leong, Yin-Yee, Yue, Jack C.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2017
Materias:	Methodology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5439144/ https://www.ncbi.nlm.nih.gov/pubmed/28359282 http://dx.doi.org/10.1186/s12942-017-0085-9

Ejemplares similares

Geographical, temporal and racial disparities in late-stage prostate cancer incidence across Florida: A multiscale joinpoint regression analysis
por: Goovaerts, Pierre, et al.
Publicado: (2011)

Transforming geographic scale: a comparison of combined population and areal weighting to other interpolation methods
por: Hallisey, Elaine, et al.
Publicado: (2017)

Clustering exact matches of pairwise sequence alignments by weighted linear regression
por: González, Alvaro J, et al.
Publicado: (2008)

Estimating the accuracy of geographical imputation
por: Henry, Kevin A, et al.
Publicado: (2008)

Geographically weighted temporally correlated logistic regression model
por: Liu, Yang, et al.
Publicado: (2018)

Measuring the geographic coverage of methadone maintenance programme in Hong Kong by using geographic information system (GIS)
por: Pang, Tak Ting P, et al.
Publicado: (2008)

Optimized segmented regression models for the transition period of intervention effects
por: Zhang, Xiangliang, et al.
Publicado: (2023)

A procedure to characterize geographic distributions of rare disorders in cohorts
por: Van Meter, Karla C, et al.
Publicado: (2008)

An integrated framework for the geographic surveillance of chronic disease
por: Yiannakoulias, Nikolaos, et al.
Publicado: (2009)

An exact test to detect geographic aggregations of events
por: Rosychuk, Rhonda J, et al.
Publicado: (2010)

Catchment Area Analysis Using Bayesian Regression Modeling
por: Wang, Aobo, et al.
Publicado: (2015)

On studentized residuals in the quantile regression framework
por: Ranganai, Edmore
Publicado: (2016)

Wavelet geographically weighted regression for spectroscopic modelling of soil properties
por: Song, Yongze, et al.
Publicado: (2021)

Sinusoidal Cox Regression—A Rare Cancer Example
por: Efird, Jimmy Thomas
Publicado: (2010)

Anonymisation of geographical distance matrices via Lipschitz embedding
por: Kroll, Martin, et al.
Publicado: (2016)

Confidence intervals for rate ratios between geographic units
por: Zhu, Li, et al.
Publicado: (2016)

Evaluating Geographically Weighted Regression Models for Environmental Chemical Risk Analysis
por: Czarnota, Jenna, et al.
Publicado: (2015)

Selecting Spatial Scale of Covariates in Regression Models of Environmental Exposures
por: Grant, Lauren P., et al.
Publicado: (2015)

Neighborhood size and local geographic variation of health and social determinants
por: Ali, Mohammad, et al.
Publicado: (2005)

Characterizing environmental geographic inequalities using an integrated exposure assessment
por: CAUDEVILLE, Julien, et al.
Publicado: (2021)

Logistic regression in estimates of femoral neck fracture by fall
por: Wendlová, Jaroslava
Publicado: (2010)

Street masking: a network-based geographic mask for easily protecting geoprivacy
por: Swanlund, David, et al.
Publicado: (2020)

Validation and updating of risk models based on multinomial logistic regression
por: Van Calster, Ben, et al.
Publicado: (2017)

An empirical study using permutation-based resampling in meta-regression
por: Gagnier, Joel J, et al.
Publicado: (2012)

Classification and regression trees for epidemiologic research: an air pollution example
por: Gass, Katherine, et al.
Publicado: (2014)

Overlapping Group Logistic Regression with Applications to Genetic Pathway Selection
por: Zeng, Yaohui, et al.
Publicado: (2016)

Modeling spatial determinates of teenage pregnancy in Ethiopia; geographically weighted regression
por: Tigabu, Seblewongel, et al.
Publicado: (2021)

Using geographic information systems to identify prospective marketing areas for a special library
por: McConnaughy, Rozalynd P, et al.
Publicado: (2006)

Geographic weighted regression analysis of hot spots of anemia and its associated factors among children aged 6–59 months in Ethiopia: A geographic weighted regression analysis and multilevel robust Poisson regression analysis
por: Tesema, Getayeneh Antehunegn, et al.
Publicado: (2021)

Seasonal variation in geographical access to maternal health services in regions of southern Mozambique
por: Makanga, Prestige Tatenda, et al.
Publicado: (2017)

Global, local and focused geographic clustering for case-control data with residential histories
por: Jacquez, Geoffrey M, et al.
Publicado: (2005)

Case-control geographic clustering for residential histories accounting for risk factors and covariates
por: Jacquez, Geoffrey M, et al.
Publicado: (2006)

Open-Source web-based geographical information system for health exposure assessment
por: Evans, Barry, et al.
Publicado: (2012)

Impacts of seasonal flooding on geographical access to maternal healthcare in the Barotse Floodplain, Zambia
por: Mroz, Elizabeth Jade, et al.
Publicado: (2023)

Cross-validation pitfalls when selecting and assessing regression and classification models
por: Krstajic, Damjan, et al.
Publicado: (2014)

ordinalgmifs: An R Package for Ordinal Regression in High-dimensional Data Settings
por: Archer, Kellie J, et al.
Publicado: (2014)

Quantile regression for survival data in modern cancer research: expanding statistical tools for precision medicine
por: Hong, Hyokyoung G, et al.
Publicado: (2019)

Generalized Geographically Weighted Regression Model within a Modularized Bayesian Framework*
por: Liu, Yang, et al.
Publicado: (2023)

A BioBrick compatible strategy for genetic modification of plants
por: Boyle, Patrick M, et al.
Publicado: (2012)

Modeling Fire Occurrence at the City Scale: A Comparison between Geographically Weighted Regression and Global Linear Regression
por: Song, Chao, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_19q6ukq396gol98i962tkbdv0i