Spatial and spatio-temporal models with R-INLA
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TLDR
The Integrated Nested Laplace Approximation approach has been developed as a computationally efficient alternative to MCMC and the availability of an R package (R-INLA) allows researchers to easily apply this method.About:
This article is published in Spatial and Spatio-temporal Epidemiology.The article was published on 2013-03-01 and is currently open access. It has received 396 citations till now. The article focuses on the topics: Markov chain Monte Carlo.read more
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Shared streets, park closures and environmental justice during a pandemic emergency in Denver, Colorado
TL;DR: In this paper, the authors evaluate how walking time and density of use at parks changed for different minority and income groups based on estimating park visits for residential blocks during the COVID-19 pandemic.
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The Spatial Distribution of Poverty and the Long Reach of the Industrial Makeup of Places: New Evidence on Spatial and Temporal Regimes.
TL;DR: It is found that the specific character of the poverty-industry relationship systematically varies along both the temporal and spatial dimensions: industry is more Protective in certain periods than in others according to sector trends, and is more protective in certain places than others conditional on sector dependence.
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Geographic variation in amputation rates among patients with diabetes and/or peripheral arterial disease in the rural state of West Virginia identifies areas for improved care
Samantha D. Minc,Brian Hendricks,Ranjita Misra,Yue Ren,Dylan Thibault,Luke Marone,Gordon S. Smith +6 more
TL;DR: In this paper, the authors identify the prevalence of major and minor amputation among patients admitted with diabetes and/or PAD in a rural, Appalachian state, and to identify geographic areas with higher than expected major or minor amputations using advanced spatial analysis while controlling for comorbidities and rurality.
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Parks protect forest cover in a tropical biodiversity hotspot, but high human population densities can limit success
TL;DR: In this paper, the authors assessed the relative importance of and interactions among demographic, administrative, and biophysical factors that predicted rates of forest loss in the Western Ghats Biodiversity Hotspot in India.
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Residential Racial Isolation and Spatial Patterning of Type 2 Diabetes Mellitus in Durham, North Carolina.
TL;DR: A local, spatial index of racial isolation for black residents in a defined area, measuring the extent to which they are exposed only to one another, is constructed to estimate associations of diabetes with RI and examine how RI relates to spatial patterning in diabetes.
References
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Bayesian measures of model complexity and fit
TL;DR: In this paper, the authors consider the problem of comparing complex hierarchical models in which the number of parameters is not clearly defined and derive a measure pD for the effective number in a model as the difference between the posterior mean of the deviances and the deviance at the posterior means of the parameters of interest, which is related to other information criteria and has an approximate decision theoretic justification.
Book
Statistics for spatial data
Noel A Cressie,Noel A Cressie +1 more
TL;DR: In this paper, the authors present a survey of statistics for spatial data in the field of geostatistics, including spatial point patterns and point patterns modeling objects, using Lattice Data and spatial models on lattices.
Book
Monte Carlo Statistical Methods
TL;DR: This new edition contains five completely new chapters covering new developments and has sold 4300 copies worldwide of the first edition (1999).
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5. Statistics for Spatial Data
Mike Rees,N. Cressie +1 more
TL;DR: Cressie et al. as discussed by the authors presented the Statistics for Spatial Data (SDS) for the first time in 1991, and used it for the purpose of statistical analysis of spatial data.