Edzer J. Pebesma

Environmental Engineering · with Graeler · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Edzer J. Pebesma trusts overall

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

  1. Hanna Meyer
  2. Andy Liaw
  3. Trevor J. Hastie
  4. Tomislav Hengl
  5. Roozbeh Valavi
  6. Jane Elith
  7. Christoph Reudenbach
  8. Patrick Schratz
  9. Matthew C. Wiener
  10. Nicolai Meinshausen

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. Random Forests
  2. Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
  3. Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation (Environmental Modelling & Software)
  4. Quantile Regression Forests
  5. Here be dragons: a tool for quantifying novelty due to covariate range and correlation change when projecting species distribution models
  6. R: A language and environment for statistical computing.
  7. The art of modelling range‐shifting species
  8. Building Predictive Models in R Using the caret Package
  9. Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables (PeerJ)
  10. blockCV: an R package for generating spatially or environmentally separated folds for k-fold cross-validation of species distribution models (bioRxiv)

Their papers