Data for: Classification and regression with random forests as a standard method for presence-only data SDMs: A future conservation example using China tree species

Published: 15 May 2019 | Version 1 | DOI: 10.17632/cymrs4s7kj.1
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This dataset is under embargo and will be publicly available (68 days) on 30 July 2019 at 12:00am UTC

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This data is associated with the following publication:

Classification and regression with random forests as a standard method for presence-only data SDMs: A future conservation example using China tree species

Published in: Ecological Informatics

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  • Version 1

    Under embargo

    Embargo Date: 2019-07-30 (68 days)

    Published: 2019-05-15

    DOI: 10.17632/cymrs4s7kj.1

    Cite this dataset

    Zhang, Lei; Yu, zhen; Liu, Shirong; Huettmann, Falk; Sun, Pengsen (2019), “Data for: Classification and regression with random forests as a standard method for presence-only data SDMs: A future conservation example using China tree species”, Mendeley Data, v1 http://dx.doi.org/10.17632/cymrs4s7kj.1

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Categories

Artificial Intelligence, Ecological Modeling, Forestry in Global Change, Machine Learning, Niche Modelling, Forest Ecology, Habitat Conservation, Forestry Practice, Random Decision Forest

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CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

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This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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