An alternative approach to characterize time series data: Case study on Malaysian rainfall data

This paper focuses on the characterization of time series rainfall data to understand the behavior in the Malaysian rainfall data. An analysis of the rainfall behavior of different time periods is also conducted. The rainfall data is rounded. A bar with a width of 12 pixels is drawn for each day in...

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Main Authors: Radhakrishnan, P., Dinesh, S.
Format: Article
Published: 2006
Subjects:
Online Access:http://shdl.mmu.edu.my/2070/
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author Radhakrishnan, P.
Dinesh, S.
author_facet Radhakrishnan, P.
Dinesh, S.
author_sort Radhakrishnan, P.
building MMU Institutional Repository
collection Online Access
description This paper focuses on the characterization of time series rainfall data to understand the behavior in the Malaysian rainfall data. An analysis of the rainfall behavior of different time periods is also conducted. The rainfall data is rounded. A bar with a width of 12 pixels is drawn for each day in the data. The length of the bars drawn is equal to the corresponding rainfall value. Each bar is separated by a space of 2 pixels. Bars for data from different year are stored in different rows. Morphological opening is performed on the barcode image obtained, using line kernels of increasing length. Connected component-labeling algorithm is implemented on the resulting images to identify the individual bar codes and to compute the number of bars remaining after the opening process. A daily rainfall record for the duration of 30 years, obtained from the Melaka Meteorological Station, is analyzed. The results provide characterization of behavior in daily rainfall data. (c) 2005 Elsevier Ltd. All rights reserved.
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spelling mmu-20702011-08-10T07:18:42Z http://shdl.mmu.edu.my/2070/ An alternative approach to characterize time series data: Case study on Malaysian rainfall data Radhakrishnan, P. Dinesh, S. QA Mathematics This paper focuses on the characterization of time series rainfall data to understand the behavior in the Malaysian rainfall data. An analysis of the rainfall behavior of different time periods is also conducted. The rainfall data is rounded. A bar with a width of 12 pixels is drawn for each day in the data. The length of the bars drawn is equal to the corresponding rainfall value. Each bar is separated by a space of 2 pixels. Bars for data from different year are stored in different rows. Morphological opening is performed on the barcode image obtained, using line kernels of increasing length. Connected component-labeling algorithm is implemented on the resulting images to identify the individual bar codes and to compute the number of bars remaining after the opening process. A daily rainfall record for the duration of 30 years, obtained from the Melaka Meteorological Station, is analyzed. The results provide characterization of behavior in daily rainfall data. (c) 2005 Elsevier Ltd. All rights reserved. 2006-01 Article NonPeerReviewed Radhakrishnan, P. and Dinesh, S. (2006) An alternative approach to characterize time series data: Case study on Malaysian rainfall data. Chaos, Solitons & Fractals, 27 (2). pp. 511-518. ISSN 09600779 http://dx.doi.org/10.1016/j.chaos.2005.04.030 doi:10.1016/j.chaos.2005.04.030 doi:10.1016/j.chaos.2005.04.030
spellingShingle QA Mathematics
Radhakrishnan, P.
Dinesh, S.
An alternative approach to characterize time series data: Case study on Malaysian rainfall data
title An alternative approach to characterize time series data: Case study on Malaysian rainfall data
title_full An alternative approach to characterize time series data: Case study on Malaysian rainfall data
title_fullStr An alternative approach to characterize time series data: Case study on Malaysian rainfall data
title_full_unstemmed An alternative approach to characterize time series data: Case study on Malaysian rainfall data
title_short An alternative approach to characterize time series data: Case study on Malaysian rainfall data
title_sort alternative approach to characterize time series data: case study on malaysian rainfall data
topic QA Mathematics
url http://shdl.mmu.edu.my/2070/
http://shdl.mmu.edu.my/2070/
http://shdl.mmu.edu.my/2070/