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Falk Huettmann
PeerJ Author & Reviewer
820 Points

Contributions by role

Author 540
Preprint Author 140
Reviewer 140

Contributions by subject area

Biodiversity
Biogeography
Conservation Biology
Ecology
Zoology
Data Mining and Machine Learning
Animal Behavior
Spatial and Geographic Information Science
Algorithms and Analysis of Algorithms
Artificial Intelligence
Entomology

Falk Huettmann

PeerJ Author & Reviewer

Summary

Agricultural Science Algorithms & Analysis of Algorithms Artificial Intelligence Biogeography Conservation Biology Ecology Entomology Ethical Issues Forestry Natural Resource Management

Editing Journals

Past or current institution affiliations

University of Alaska - Fairbanks

PeerJ Contributions

  • Articles 4
  • Preprints 4
  • Reviewed 1
September 14, 2021
High-resolution prediction of American red squirrel in Interior Alaska: a role model for conservation using open access data, machine learning, GIS and LIDAR
Richard B. Robold, Falk Huettmann
https://doi.org/10.7717/peerj.11830 PubMed 34611502
December 13, 2017
Combining occurrence and abundance distribution models for the conservation of the Great Bustard
Chunrong Mi, Falk Huettmann, Rui Sun, Yumin Guo
https://doi.org/10.7717/peerj.4160 PubMed 29255652
January 12, 2017
Why choose Random Forest to predict rare species distribution with few samples in large undersampled areas? Three Asian crane species models provide supporting evidence
Chunrong Mi, Falk Huettmann, Yumin Guo, Xuesong Han, Lijia Wen
https://doi.org/10.7717/peerj.2849 PubMed 28097060
February 1, 2016
Climate envelope predictions indicate an enlarged suitable wintering distribution for Great Bustards (Otis tarda dybowskii) in China for the 21st century
Chunrong Mi, Huettmann Falk, Yumin Guo
https://doi.org/10.7717/peerj.1630 PubMed 26855870
October 7, 2018 - Version: 1
How to assess species distribution model accuracy: using internal-aspatial or external-spatial methods?
Chunrong Mi, Falk Huettmann, Yumin Guo
https://doi.org/10.7287/peerj.preprints.27257v1
September 11, 2017 - Version: 1
Towards combining occurrence and abundance distribution models of Great Bustard for conservation: A global research template from Bohai Bay?
Chunrong Mi, Falk Huettmann, Rui Sun, Yumin Guo
https://doi.org/10.7287/peerj.preprints.3240v1
October 11, 2016 - Version: 1
Why to choose Random Forest to predict rare species distribution with few samples in large undersampled areas? Three Asian crane species models provide supporting evidence
Chunrong Mi, Falk Huettmann, Yumin Guo, Xuesong Han, Lijia Wen
https://doi.org/10.7287/peerj.preprints.2517v1
July 26, 2015 - Version: 1
Climate change enlarges China’s Great Bustards’ (Otis tarda dybowskii) suitable wintering distribution in the 21st century
Chunrong Mi, Huettmann Falk, Yumin Guo
https://doi.org/10.7287/peerj.preprints.1263v1

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

April 29, 2022
CGCNImp: a causal graph convolutional network for multivariate time series imputation
Caizheng Liu, Guangfan Cui, Shenghua Liu
https://doi.org/10.7717/peerj-cs.966