Author

J. Kartesz

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 2

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Approach:machine learning (classical)· 1 Organism:plant (other)· 1 Approach:statistical model· 1

Frequent Co-Authors

M. Nishino· 2 shared A. Kuprijanov· 1 shared A. Nowak· 1 shared A. Patzelt· 1 shared A. Stein· 1 shared A. Taylor· 1 shared B. F. Atahan· 1 shared B. Goulet-Scott· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersEcology

M. Nishino

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Author profile →

2 papers

Recent·Most cited

Machine learning improves global models of plant diversity

L. Cai, H. Kreft, A. Taylor, P. Denelle, J. Schrader, F. Essl, M. v. Kleunen, J. Pergl, P. Pysek, A. Stein, M. Winter, J. F. Barcelona, N. Fuentes, I. Inderjit, D. N. Karger, , P. Weigelt

The paper uses machine learning and statistical models to predict global plant diversity patterns based on environmental data, achieving high accuracy for species and phylogenetic richness.

bioRxiv · Apr 8, 2022Ecology

A dataset of 5 million city trees: species clustering and climate effects in urban forests

D. McCoy, B. Goulet-Scott, W. Meng, B. F. Atahan, H. Kiros, M. Nishino, J. Kartesz

The paper presents a dataset of 5 million city trees and analyzes species clustering, nativity status, and climate effects in urban forests.

bioRxiv · Mar 18, 2022 · PreprintEcology