Clustering of rainfall stations and distinguishing influential factors using PCA and HCA techniques over the western dry region of India-Reference-Cited by-同舟云学术

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Clustering of rainfall stations and distinguishing influential factors using PCA and HCA techniques over the western dry region of India

Published:2019-01-16 Issue:2 Volume:26 Page:300-311
ISSN:1350-4827
Container-title:Meteorological Applications
language:en
Short-container-title:Meteorol Appl

Author:

Machiwal Deepesh¹^ORCID,Kumar Sanjay²,Meena Hari M.³,Santra Priyabrata⁴,Singh Ranjay K.⁴,Singh Dharam V.³

Affiliation:

1. Regional Research StationICAR‐Central Arid Zone Research Institute Bhuj, Gujarat India

2. Krishi Vigyan KendraICAR‐CAZRI Bhuj India

3. Division of Natural Resources, ICAR‐Central Arid Zone Research Institute Jodhpur, Rajasthan India

4. Division of Agricultural Engineering and Renewable Energy, ICAR‐Central Arid Zone Research Institute Jodhpur, Rajasthan India

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/met.1763

Reference32 articles.

1. Geographic Variation in Growing Season Rainfall during three Decades in Nigeria Using Principal Component and Cluster Analyses

2. Tests of significance in factor analysis;Bartlett M.;British Journal of Psychology,1950

3. Regionalization of Precipitation Regimes in Iran Using Principal Component Analysis and Hierarchical Clustering Analysis

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