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Response matrix used to train artifical neural network models

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Version 3 2015-02-09, 04:44
Version 2 2015-02-09, 04:44
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posted on 2015-02-09, 04:44 authored by Megan McNellieMegan McNellie, Ian Oliver, Simon Ferrier, Graeme Newell, Glenn Manion, Peter Griffioen, Matt White, Philip Gibbons

Permanent, publicly accessible data associated with the results manuscript to be submitted for peer review - Transforming floristic data into vegetation attributes and predicting their spatial patterns across landscapes

 

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    Keywords

    plot-based floristic records, data assimilation, predictive modelling, interpolated residual error, neural network, disaggregated vegetation attributes, continuous vegetation models.BotanyArtificial Intelligence and Image ProcessingBioinformaticsEcology

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    CC BY 4.0

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