Spatial and temporal clustering analysis on chlorophyll-a data distribution

  • Authors

    • Devi Fitrianah Universitas Mercu Buana
    2018-08-23
    https://doi.org/10.14419/ijet.v7i2.27.13082
  • Distribution of Chlorophyll-A, DBSCAN, Fuzzy C Means, Potential Fishing Zones, Spatio-Temporal Clustering.

  • Abstract

    The motivation of this study is to serve as an alternative approach to most chlorophyll analysis studies that utilize overlay analysis with chlorophyll-a imaging. Mostly, the chlorophyll overlay analysis take many steps in processes, not to mention the bigger the observation duration for the data, the longer it takes to process. In this study, a spatial and temporal clustering analysis was conducted to obtain areas that have abundant chlorophyll-a. The spatial distribution was determined using the DBSCAN algorithm, while the temporal distribution was deter-mined via the fuzzy c-means algorithm. From this study, we can obtain information on the distribution of chlorophyll-a clearly based on the location and the time through a given visualization in advanced. There is no need to do overlaying chlorophyll-a imaging one by one. The results of the spatial and temporal clustering provide an easy-to-read visualization regarding information on the chlorophyll-a distribution based on location and time.

     

     

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  • How to Cite

    Fitrianah, D. (2018). Spatial and temporal clustering analysis on chlorophyll-a data distribution. International Journal of Engineering & Technology, 7(2.27), 261-265. https://doi.org/10.14419/ijet.v7i2.27.13082

    Received date: 2018-05-20

    Accepted date: 2018-06-30

    Published date: 2018-08-23