• Comparing Implementations of Estimation Methods for Spatial Econometrics 

      Bivand, Roger; Piras, Gianfranco (Journal article; Peer reviewed, 2015-01)
      Recent advances in the implementation of spatial econometrics model estimation tech- niques have made it desirable to compare results, which should correspond between im- plementations across software applications for ...
    • Exploiting parallelization in spatial statistics: an applied survey using R 

      Bivand, Roger S. (Discussion paper, Working paper, 2010-10)
      Computing tasks may be parallelized top-down by splitting into per-node chunks when the tasks permit this kind of division, and particularly when there is little or no need for communication between the nodes. Another ...
    • Software for Spatial Statistics 

      Bivand, Roger; Pebesma, Edzer; Ribeiro, Paulo Justiano (Journal article; Peer reviewed, 2015)
      We give an overview of the papers published in this special issue on spatial statistics, of the Journal of Statistical Software. 21 papers address issues covering visualization (micromaps, links to Google Maps or Google ...
    • Spatial Data Analysis with R-INLA with Some Extensions 

      Bivand, Roger; Gómez-Rubio, Virgilio; Rue, Håvard (Journal article; Peer reviewed, 2015-01)
      The integrated nested Laplace approximation (INLA) provides an interesting way of approximating the posterior marginals of a wide range of Bayesian hierarchical models. This approximation is based on conducting a Laplace ...