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ZENODO
Presentation . 2021
License: CC BY
Data sources: Datacite
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/
ZENODO
Presentation . 2021
License: CC BY
Data sources: Datacite
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/
ZENODO
Other literature type . 2021
License: CC BY
Data sources: ZENODO
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Two case-based reasoning strategies of automatically selecting terrain covariates for geographical variable mapping

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 13 Sep 2021Publisher:Zenodo
Authors: Cheng-Zhi QIN;

doi: 10.5281/zenodo.5503583 , 10.5281/zenodo.5503584

Two case-based reasoning strategies of automatically selecting terrain covariates for geographical variable mapping

Abstract

My presentation for Geomorphometry'2021, with a little bit changed title from the original one in the corresponding extended abstract (Qin C-Z, Liang P, Zhu A-X. A case-based classification strategy of automatically selecting terrain covariates for modeling geographic variable-environment relationship. In: M Alvioli, I Marchesini, L Melelli, P Guth, eds., Proceedings of the Geomorphometry 2020 Conference, p. 33-36. doi:10.30437/GEOMORPHOMETRY2020_9. (extended abstract).

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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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