Author

A. K. Scharf

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

Biology Disciplines

Click to filter author papers

Ecology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:database / resource· 1 Organism:multiple species· 1 Approach:statistical model· 1

Frequent Co-Authors

K. Safi· 2 shared R. Kays· 2 shared A. K. Lohr· 1 shared A. Koelzsch· 1 shared A. Roulin· 1 shared A.-L. Harrison· 1 shared B. Koeck· 1 shared B. Russell· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersEcology

K. Safi

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

MoveApps - a serverless no-code analysis platform for animal tracking data

A. Koelzsch, S. C. Davidson, D. Gauggel, C. Hahn, J. Hirt, R. Kays, I. Lang, A. K. Lohr, B. Russell, A. K. Scharf, G. Schneider, C. Vinciguerra, M. Wikelski, K. Safi

MoveApps provides an open, serverless platform for analyzing animal tracking data, enabling users to share and execute analysis workflows without coding.

bioRxiv · Feb 15, 2022Ecology

A comprehensive framework for handling location error in animal tracking data

C. H. Fleming, J. Drescher-Lehman, M. J. Noonan, T. S. B. Akre, D. J. Brown, M. M. Cochrane, N. Dejid, V. DeNicola, C. S. DePerno, J. N. Dunlop, N. P. Gould, A.-L. Harrison, J. Hollins, H. Ishii, Y. Kaneko, , J. M. Calabrese

This paper introduces a framework for handling location error in animal tracking data, showing that error-model selection improves analysis accuracy across various tracking devices and species.

bioRxiv · Jun 12, 2020 · PreprintEcology