Machine Learning Model Analysis of Breeding Habitats for the Black-necked Crane in Central Asian Uplands under Anthropogenic Pressures

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Combining occurrence and abundance distribution models for the conservation of the Great Bustard.Predicting the Global Potential Distribution of Four Endangered Panax Species in Middle-and Low-Latitude Regions of China by the Geographic Information System for Global Medicinal Plants (GMPGIS).

P2860

Q46236969-17F6BE66-02D6-49E0-82EC-E10286E692F5 Q46299585-859DDF9C-CB0F-4042-A673-D0054441FECC

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Machine Learning Model Analysis of Breeding Habitats for the Black-necked Crane in Central Asian Uplands under Anthropogenic Pressures

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http://www.wikidata.org/entity/Q38653483

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

@wuu

2017年学术文章

@zh-cn

2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

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2017年學術文章

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2017年學術文章

@zh-hant

name

Machine Learning Model Analysi ...... under Anthropogenic Pressures

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type

Item

label

Machine Learning Model Analysi ...... under Anthropogenic Pressures

@en

prefLabel

Machine Learning Model Analysi ...... under Anthropogenic Pressures

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P1476

Machine Learning Model Analysi ...... under Anthropogenic Pressures

@en

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Chunrong Mi

http://www.w3.org/2001/XMLSchema#string

Lijia Wen

http://www.w3.org/2001/XMLSchema#string

Xuesong Han

http://www.w3.org/2001/XMLSchema#string

Yumin Guo

http://www.w3.org/2001/XMLSchema#string

P2860

Random Forests

The importance of the human footprint in shaping the global distribution of terrestrial, freshwater and marine invaders

Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)

Very high resolution interpolated climate surfaces for global land areas

Why choose Random Forest to predict rare species distribution with few samples in large undersampled areas? Three Asian crane species models provide supporting evidence.

Role of Tibetan Buddhist monasteries in snow leopard conservation.

Random forests for classification in ecology.

Population status of Heptner's markhor Capra falconeri heptneri in Tajikistan: challenges for conservation

Selecting thresholds of occurrence in the prediction of species distributions

Downscaling future climate scenarios to fine scales for hydrologic and ecological modeling and analysis

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s41598-017-06167-2

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6114

http://www.w3.org/2001/XMLSchema#string

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scholarly article

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10.1038/S41598-017-06167-2

http://www.w3.org/2001/XMLSchema#string

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English

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http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

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Falk Huettmann

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2017-07-21T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

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1090754900

http://www.w3.org/2001/XMLSchema#string

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28733592

http://www.w3.org/2001/XMLSchema#string

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machine learning

habitat

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5522491

http://www.w3.org/2001/XMLSchema#string

Machine Learning Model Analysis of Breeding Habitats for the Black-necked Crane in Central Asian Uplands under Anthropogenic Pressures

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P2860

P2860

Machine Learning Model Analysis of Breeding Habitats for the Black-necked Crane in Central Asian Uplands under Anthropogenic Pressures

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P407

P433

P478

P50

P577

P6179

P698

P921

P932

P356

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P407

P433

P478

P50

P577

P6179

P698

P921

P932