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Open AccessJournal ArticleDOI

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.
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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.

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A Landscape View of Agricultural Insecticide Use across the Conterminous US from 1997 through 2012.

TL;DR: Relationships between landscape simplification and insecticide use are explored using county-level data from the US Census of Agriculture and a variety of standard and spatiotemporal regression techniques to lend general support to the causal chain.
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Health inequalities in the European Union: an empirical analysis of the dynamics of regional differences

TL;DR: This study is the first that shows a lack of convergence in health across EU regions and uses the coefficient of variation to measure the dynamics of dispersion levels of mortality and life expectancy and, surprisingly, finds no reduction, on average, in dispersion Levels.
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Satellite remote sensing to monitor mangrove forest resilience and resistance to sea level rise

TL;DR: In this article, a multi-product (multispectral, microwave, derivedproduct) open-access satellite remote sensing approach was developed and implemented to assess both coastal ecosystem SLR resilience and resistance capacity in multiple mangrove sites across the world, and landscape level and anthropogenic factors driving these capacities.
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Estimate of main local sources to ambient ultrafine particle number concentrations in an urban area

TL;DR: In this paper, the authors investigated the contribution of local ground traffic, nucleated particle formation and distant non-traffic (e.g., airport, oil refineries, and seaport) sources to the total ambient particle number concentration (PNC) in a busy, inner city area in Brisbane, Australia using Bayesian statistical modelling and other exploratory tools.
References
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Journal ArticleDOI

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

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).
Journal ArticleDOI

5. Statistics for Spatial Data

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.
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