References in zbMATH (referenced in 20 articles )

Showing results 1 to 20 of 20.
Sorted by year (citations)

  1. Waleed Almutiry, Vineetha Warriyar K V, Rob Deardon: Continuous Time Individual-Level Models of Infectious Disease: a Package EpiILMCT (2020) arXiv
  2. Atkinson, Peter M.; Mateu, Jorge: A conversation with Peter Diggle (2019)
  3. Davies, Tilman M.; Lawson, Andrew B.: An evaluation of likelihood-based bandwidth selectors for spatial and spatiotemporal kernel estimates (2019)
  4. Davis, Benjamin J. K.; Curriero, Frank C.: Development and evaluation of geostatistical methods for non-Euclidean-based spatial covariance matrices (2019)
  5. David Bolin; Finn Lindgren: Calculating Probabilistic Excursion Sets and Related Quantities Using excursions (2018) not zbMATH
  6. Burch, Brent D.: Distribution-dependent and distribution-free confidence intervals for the variance (2017)
  7. Sebastian Meyer and Leonhard Held and Michael Höhle: Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance (2017) not zbMATH
  8. Baddeley, Adrian; Rubak, Ege; Turner, Rolf: Spatial point patterns: methodology and applications with R (2016)
  9. Liang Jing; Victor De Oliveira: geoCount: An R Package for the Analysis of Geostatistical Count Data (2015) not zbMATH
  10. Markus Loecher; Karl Ropkins: RgoogleMaps and loa: Unleashing R Graphics Power on Map Tiles (2015) not zbMATH
  11. Raphaël Pélissier; François Goreaud: ads Package for R: A Fast Unbiased Implementation of the K-function Family for Studying Spatial Point Patterns in Irregular-Shaped Sampling Windows (2015) not zbMATH
  12. Bivand, Roger S.; Pebesma, Edzer J.; Gómez-Rubio, Virgilio: Applied spatial data analysis with R (2013)
  13. Edith Gabriel; Barry Rowlingson; Peter Diggle: stpp: An R Package for Plotting, Simulating and Analyzing Spatio-Temporal Point Patterns (2013) not zbMATH
  14. Thibault Laurent; Anne Ruiz-Gazen; Christine Thomas-Agnan: GeoXp: An R Package for Exploratory Spatial Data Analysis (2012) not zbMATH
  15. Adrian Bowman; Iain Gibson; E. Scott; Ewan Crawford: Interactive Teaching Tools for Spatial Sampling (2010) not zbMATH
  16. Hossain, Md. Monir; Lawson, Andrew B.: Approximate methods in Bayesian point process spatial models (2009)
  17. Martínez-Beneito, Miguel A.; Abellán, Juan J.; López-Quílez, Antonio; Vanaclocha, Hermelinda; Zurriaga, Ó.; Jorques, Guillermo; Fenollar, José: Source detection in an outbreak of legionnaire’s disease (2006)
  18. Adrian Baddeley; Rolf Turner: spatstat: An R Package for Analyzing Spatial Point Patterns (2005) not zbMATH
  19. Wager, C. G.; Coull, B. A.; Lange, N.: Modelling spatial intensity for replicated inhomogeneous point patterns in brain imaging (2004)
  20. Roger Peng: Multi-dimensional Point Process Models in R (2003) not zbMATH