Regionalization of Drought across South Korea Using Multivariate Methods

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Regionalization of Drought across South Korea Using Multivariate Methods

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наукова стаття, опублікована в грудні 2017

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Regionalization of Drought across South Korea Using Multivariate Methods

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Regionalization of Drought across South Korea Using Multivariate Methods

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Regionalization of Drought across South Korea Using Multivariate Methods

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Regionalization of Drought across South Korea Using Multivariate Methods

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Regionalization of Drought across South Korea Using Multivariate Methods

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Regionalization of Drought across South Korea Using Multivariate Methods

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P1476

Regionalization of Drought across South Korea Using Multivariate Methods

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P2093

Hyung Kim

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Hyung Park

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Muhammad Azam

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Seung Maeng

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P2860

Computational cluster validation in post-genomic data analysis.

Relationship between land use and water quality in a small watershed in South Korea.

US billion-dollar weather and climate disasters: data sources, trends, accuracy and biases

Well-Separated Clusters and Optimal Fuzzy Partitions

Analysis of a complex of statistical variables into principal components

Silhouettes: A graphical aid to the interpretation and validation of cluster analysis

The temporal and spatial structures of recent and future trends in extreme indices over Korea from a regional climate projection

Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices

Selection of variables for the purpose of regionalization of Iran's precipitation climate using multivariate methods

Global variations in droughts and wet spells: 1900-1995

P304

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P31

scholarly article

P356

10.3390/W10010024

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P361

Water, Volume 10, Issue 1

P433

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P478

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P577

2017-12-29T00:00:00Z

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P921

drought