Edzer J. Pebesma

Environmental Engineering · The R Journal · 2004–2018

A researcher in the Science corpus: 8 papers; trusts 11 researchers and is trusted by 117 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 11 citations into it; #23 of 5,479 by trust here, #571 by citations
• Artificial Intelligence — 7 citations into it; #33,913 of 35,345 by trust here, #21,316 by citations
• Statistics and Probability — 7 citations into it; #8,917 of 12,932 by trust here, #11,487 by citations
• Economics and Econometrics — 5 citations into it; #446 of 23,481 by trust here, #4,106 by citations

Whom Edzer J. Pebesma trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Roger S. Bivand
2. Michael E. Hohn
3. Dirk Eddelbuettel
4. Trevor J. Hastie
5. Ricardo A. Olea
6. Fred Espen Benth
7. Robert J. Hijmans
8. Cedric E. Ginestet
9. Christian P. Robert
10. Denis Allard

Who trusts Edzer J. Pebesma overall

1. Christopher D. Lloyd
2. Aaron M. Christ
3. Marta Blangiardo
4. Paul Harris
5. Tomislav Hengl
6. Martin Charlton
7. B. Michael Wotton
8. Martijn Tennekes
9. David Masson
10. Marianne Menictas

Papers from Edzer J. Pebesma's perspective

Ordered by how strongly the researchers Edzer J. Pebesma trusts endorse each paper. Same corpus, a different order for every researcher.

1. Geostatistics for Natural Resources Evaluation
2. Seamless R and C++ Integration with Rcpp
3. Gentleman R: R: A language for data analysis and graphics
4. Rcpp: Seamless R and C++ Integration
5. Applied Regression Including Computing and Graphics
6. An Empirical Comparison of Kriging Methods for Nonlinear Spatial Point Prediction
7. Statistics for Spatio-Temporal Data
8. J.-P. Chilès, P. Delfiner: Geostatistics: Modeling Spatial Uncertainty (Mathematical Geosciences)
9. Classes and Methods for Spatial Data
10. 5. Statistics for Spatial Data

Their papers

• Multivariable geostatistics in S: the gstat package (2004) — 2,971 citations
• Applied Spatial Data Analysis with R - Second Edition (2008) — 2,017 citations
• Spatio-Temporal Interpolation using gstat (2016) — 788 citations
• The pair-copula construction for spatial data: a new approach to model spatial dependency (2011) — 70 citations
• Simple Features for R: Standardized Support for Spatial Vector Data (2018) — 3,639 citations
• Classes and Methods for Spatial Data (2015) — 2,028 citations
• Real-time automatic interpolation of ambient gamma dose rates from the Dutch radioactivity monitoring network (2009) — 470 citations
• Applied Spatial Data Analysis with R. Springer (2008) — 322 citations