Applied Spatial Data Analysis with R, 2nd ed. RS Bivand, E Pebesma, V Gómez-Rubio Applied Spatial Data Analysis with R, 2013 | 3372* | 2013 |
Factors driving pathogenicity vs. prevalence of amphibian panzootic chytridiomycosis in Iberia SF Walker, J Bosch, V Gomez, TWJ Garner, AA Cunningham, ... Ecology letters 13 (3), 372-382, 2010 | 197 | 2010 |
Spatial data analysis with R-INLA with some extensions R Bivand, V Gómez-Rubio, H Rue American Statistical Association, 2015 | 112 | 2015 |
Second‐Order Analysis of Inhomogeneous Spatial Point Processes Using Case–Control Data PJ Diggle, V Gómez‐Rubio, PE Brown, AG Chetwynd, S Gooding Biometrics 63 (2), 550-557, 2007 | 110 | 2007 |
Detecting clusters of disease with R V Gómez-Rubio, J Ferrándiz-Ferragud, A López-Quílez Journal of geographical systems 7 (2), 189-206, 2005 | 93 | 2005 |
Advanced spatial modeling with stochastic partial differential equations using R and INLA ET Krainski, V Gómez-Rubio, H Bakka, A Lenzi, D Castro-Camilo, ... CRC Press, 2018 | 92 | 2018 |
The mossy north: an inverse latitudinal diversity gradient in European bryophytes RG Mateo, O Broennimann, S Normand, B Petitpierre, MB Araújo, ... Scientific Reports 6 (1), 1-9, 2016 | 75 | 2016 |
ggplot2-elegant graphics for data analysis V Gómez-Rubio Journal of Statistical Software 77 (1), 1-3, 2017 | 67 | 2017 |
Spatial analysis of the relationship between mortality from cardiovascular and cerebrovascular disease and drinking water hardness J Ferrándiz, JJ Abellán, V Gómez-Rubio, A López-Quílez, P Sanmartín, ... Environmental health perspectives 112 (9), 1037-1044, 2004 | 59 | 2004 |
Modeling spatial effects of PM2. 5 on term low birth weight in Los Angeles County E Coker, J Ghosh, M Jerrett, V Gomez-Rubio, B Beckerman, M Cockburn, ... Environmental research 142, 354-364, 2015 | 52 | 2015 |
Approximate Bayesian inference for spatial econometrics models RS Bivand, V Gómez-Rubio, H Rue Spatial Statistics 9, 146-165, 2014 | 48 | 2014 |
Package ‘Spdep’: Spatial dependence: Weighting schemes, statistics and models R Bivand, M Altman, L Anselin, R Assunção, O Berke, A Bernat, ... R package version 0.5–88 www. cran. r-project. org, 2015 | 42 | 2015 |
Identifying vulnerable populations through an examination of the association between multipollutant profiles and poverty J Molitor, JG Su, NT Molitor, VG Rubio, S Richardson, D Hastie, ... Environmental science & technology 45 (18), 7754-7760, 2011 | 40 | 2011 |
Bayesian inference with INLA V Gómez-Rubio Chapman and Hall/CRC, 2020 | 36 | 2020 |
Bayesian statistics small area estimation V Gómez-Rubio, N Best, S Richardson, G Li, P Clarke Imperial College London, 2010 | 29 | 2010 |
Statistical methods for the geographical analysis of rare diseases V Gómez-Rubio, A López-Quílez Adv Exp Med Biol 686, 151-171, 2010 | 26 | 2010 |
Markov chain monte carlo with the integrated nested laplace approximation V Gómez-Rubio, H Rue Statistics and Computing 28 (5), 1033-1051, 2018 | 25 | 2018 |
Spatial models using Laplace approximation methods V Gomez-Rubio, RS Bivand, H Rue | 20 | 2019 |
RArcInfo: Using GIS data with R V Gómez-Rubio, A López-Quílez Computers & geosciences 31 (8), 1000-1006, 2005 | 18* | 2005 |
Analysis of massive marked point patterns with stochastic partial differential equations V Gomez-Rubio, M Cameletti, F Finazzi Spatial Statistics 14, 179-196, 2015 | 15 | 2015 |