Clustering rainfall pattern in Malaysia using functional data analysis

[PDF] academia.edu

[PDF][PDF] Spatial functional data analysis for regionalizing precipitation seasonality and intensity in a sparsely monitored region: Unveiling the spatio‐temporal …

D Ballari, R Giraldo, L Campozano… - International Journal of …, 2018 - academia.edu
Regionalizing precipitation allows capturing regional-scale variability into manageable
smaller regions (Abatzoglou et al., 2009), which is useful to make information-based …
被引用次数：48 相关文章 所有 5 个版本
[PDF] researchgate.net

[PDF][PDF] A Comparative Effectiveness of Hierarchical and Nonhierarchical Regionalisation Algorithms in Regionalising the Homogeneous Rainfall Regions.

ZL Chuan, WNSW Yusoff, A Senawi… - Pertanika Journal of …, 2022 - researchgate.net
Descriptive data mining has been widely applied in hydrology as the regionalisation
algorithms to identify the statistically homogeneous rainfall regions. However, previous …
被引用次数：2 相关文章 所有 8 个版本

PERTANIKA JOURNAL OF SOCIAL SCIENCES AND HUMANITIES

ZL Chuan, WNSW Yusoff, A Senawi, MRM Akramin… - pertanika.upm.edu.my
Descriptive data mining has been widely applied in hydrology as the regionalisation
algorithms to identify the statistically homogeneous rainfall regions. However, previous …
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PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY

ZL Chuan, WNSW Yusoff, A Senawi, MRM Akramin… - pertanika.upm.edu.my
Descriptive data mining has been widely applied in hydrology as the regionalisation
algorithms to identify the statistically homogeneous rainfall regions. However, previous …
相关文章 所有 2 个版本

[引用][C] Identifying homogeneous rainfall catchments for non-stationary time series using TOPSIS algorithm and bootstrap k-sample Anderson darling test

ZL Chuan, N Ismail, W Yusoff, SF Fam, MAM Romlay - International Journal of …, 2018
被引用次数：6 相关文章