Gerald Kändler

Environmental Engineering · 2010

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gerald Kändler trusts overall

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

  1. Erik Næsset
  2. Torsten Hothorn
  3. Chao Chen
  4. Marco Heurich
  5. N. Crookston
  6. Johannes Breidenbach
  7. Andy Liaw
  8. Leo Breiman
  9. Ronald E. McRoberts

Papers from Gerald Kändler's perspective

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

  1. Model-based mean square error estimators for k-nearest neighbour predictions and applications using remotely sensed data for forest inventories
  2. Prediction of species specific forest inventory attributes using a nonparametric semi-individual tree crown approach based on fused airborne laser scanning and multispectral data
  3. Combining ALS and NFI training data for forest management planning: a case study in Kuortane, Western Finland (European Journal of Forest Research)
  4. Practical large-scale forest stand inventory using a small-footprint airborne scanning laser
  5. Modern Applied Statistics With S
  6. Partitioning Error Components for Accuracy-Assessment of Near-Neighbor Methods of Imputation (Forestry sciences)
  7. Using Random Forest to Learn Imbalanced Data
  8. Classification and Regression by randomForest
  9. Unbiased Recursive Partitioning: A Conditional Inference Framework
  10. Problems in the Analysis of Survey Data, and a Proposal

Their papers