E. Pebesma

Publications223
h-index35
Citations9,639
Highly Influential Citations559
Claim Author Page
Author pages are created from data sourced from our academic publisher partnerships and public sources.

Recommended Authors

  • G. Heuvelink
  • 293 Publications • 11,090 Citations
  • R. Bivand
  • 103 Publications • 9,414 Citations
  • C. Stasch
  • 67 Publications • 1,498 Citations
  • P. Diggle
  • 534 Publications • 35,020 Citations
  • Publications
  • Influence
Multivariable geostatistics in S: the gstat package
  • E. Pebesma
  • Computer Science
  • Comput. Geosci.
  • 1 August 2004
TLDR
The gstat S package is introduced, an extension package for the S environments (R, S-Plus) that provides multivariable geostatistical modelling, prediction and simulation, as well as several visualisation functions. Expand
Classes and Methods for Spatial Data
Applied Spatial Data Analysis with R - Second Edition
Hello, world: handling spatial data in R.- Classes for spatial data in R.- Visualizing spatial data.- Spatial data import and export.- Further methods for handling spatial data.- Customising spatial… Expand
Simple Features for R: Standardized Support for Spatial Vector Data
TLDR
The sf package implements simple features in R, and has roughly the same capacity for spatial vector data as packages sp, rgeos and rgdal, and its place in the R package ecosystem, and the potential to connect R to other computer systems are described. Expand
GSTAT: a program for geostatistical modelling, prediction and simulation
TLDR
The class of problems gstat can solve is described, and aspects of efficiency and implementation, managing geostatistical projects, and relevant technical details are addressed. Expand
Mapping of background air pollution at a fine spatial scale across the European Union.
TLDR
This study illustrates that it is possible to develop detailed maps of background air pollution using EU-wide databases using land use, road traffic, population density, meteorology, altitude, topography and distance to sea. Expand
Spatio-Temporal Interpolation using gstat
TLDR
R code for variogram fitting and interpolation is presented in this paper to illustrate the workflow of spatio-temporal interpolation using gstat, and it is concluded that the system works properly and that the extension of gstat facilitates and eases spatiotemporal geostatistical modelling and prediction for R users. Expand
Applied Spatial Data Analysis with R. Springer
Real-time automatic interpolation of ambient gamma dose rates from the Dutch radioactivity monitoring network
TLDR
A real-time automatic interpolation system suited for natural background radioactivity presents a first step towards a system that can deal with radiological accidents. Expand
Spatial aggregation and soil process modelling
TLDR
Nonlinear soil process models that are defined and calibrated at the point support and where model output is required at block support cannot at the same time be valid at the block support, which means spatial aggregation should take place after the model is run. Expand
...
1
2
3
4
5
...