References in zbMATH (referenced in 39 articles )

Showing results 1 to 20 of 39.
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  1. Claudia Cappello, Sandra De Iaco, Donato Posa: covatest: An R Package for Selecting a Class of Space-Time Covariance Functions (2020) not zbMATH
  2. Esam Mahdi: portes: An R Package for Portmanteau Tests in Time Series Models (2020) arXiv
  3. Marco Ballin, Giulio Barcaroli: R package SamplingStrata: new developments and extension to Spatial Sampling (2020) arXiv
  4. Martínez-Hernández, Israel; Genton, Marc G.: Recent developments in complex and spatially correlated functional data (2020)
  5. Dena J. Clink, Holger Klinck: GIBBONR: An R package for the detection and classification of acoustic signals using machine learning (2019) arXiv
  6. Liu, Yang; Li, Jingfa; Sun, Shuyu; Yu, Bo: Advances in Gaussian random field generation: a review (2019)
  7. Mastrantonio, Gianluca; Lasinio, Giovanna Jona; Pollice, Alessio; Capotorti, Giulia; Teodonio, Lorenzo; Genova, Giulio; Blasi, Carlo: A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles (2019)
  8. Rasch, Dieter; Verdooren, Rob; Pilz, Jürgen: Applied statistics. Theory and problem solutions with R (2019)
  9. Bernardi, Mara S.; Carey, Michelle; Ramsay, James O.; Sangalli, Laura M.: Modeling spatial anisotropy via regression with partial differential regularization (2018)
  10. Kasia Sawicka, Gerard B.M. Heuvelink, Dennis J.J. Walvoort: Spatial Uncertainty Propagation Analysis with the spup R Package (2018) not zbMATH
  11. Andrew Zammit-Mangion, Noel Cressie: FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets (2017) arXiv
  12. McClintock, Brett T.: Incorporating telemetry error into hidden Markov models of animal movement using multiple imputation (2017)
  13. RESSTE Network; et al.: Analyzing spatio-temporal data with R: everything you always wanted to know -- but were afraid to ask (2017)
  14. Sandra de Iaco: The cgeostat Software for Analyzing Complex-Valued Random Fields (2017) not zbMATH
  15. Shaddick, Gavin; Zidek, James V.: Spatio-temporal methods in environmental epidemiology (2016)
  16. Erhardt, Tobias Michael; Czado, Claudia; Schepsmeier, Ulf: Spatial composite likelihood inference using local C-vines (2015)
  17. Fabio Sigrist; Hans Künsch; Werner Stahel: spate: An R Package for Spatio-Temporal Modeling with a Stochastic Advection-Diffusion Process (2015) not zbMATH
  18. Genton, Marc G.; Kleiber, William: Rejoinder (2015)
  19. Isabella Gollini; Binbin Lu; Martin Charlton; Christopher Brunsdon; Paul Harris: GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models (2015) not zbMATH
  20. Khandoker Bakar; Sujit Sahu: spTimer: Spatio-Temporal Bayesian Modeling Using R (2015) not zbMATH

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