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ZENODO
Software . 2015
Data sources: Datacite
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ZENODO
Software . 2015
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Software . 2015
Data sources: Datacite
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ZENODO
Software . 2015
Data sources: ZENODO
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Yet Another Time Series Model (YATSM): v0.3.1

Authors: Christopher E. Holden;

Yet Another Time Series Model (YATSM): v0.3.1

Abstract

The Yet Another TimeSeries Model (YATSM) algorithm is designed to monitor land surface phenomena, including land cover and land use change, using timeseries of remote sensing observations. The algorithm seeks to find distinct time periods, or time segments, within the timeseries by monitoring for disturbances. These time segments may be used to infer continuous periods of stable land cover, with breaks separating the segments representing ephemeral disturbances or permanent conversions in land cover or land use. "The Yet Another..." part of the algorithm name is an acknowledgement of the influence a previously published timeseries algorithm - the Continuous Change Detection and Classification (CCDC) (Zhu and Woodcock, 2014) algorithm. While YATSM began as an extension from CCDC, it was never intended as a 1 to 1 port of CCDC and will continue to diverge in its own direction. Please cite as: Christopher E. Holden. (2015). Yet Another Time Series Model (YATSM). Zenodo. 10.5281/zenodo.17129

Bug fixes and features not included in v0.3.0. Includes: - Faster image IO by keeping file references open until all reading concludes 1e30d27 - Bug fix for clobbering training data ROI mask values f882a00

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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