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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/111947


    Title: Visualization of open data: A case study of climate data
    Authors: 詹進發
    Mao, Wan-Hsin
    Jan, Jihn-Fa
    Contributors: 地政系
    Keywords: Application programming interfaces (API);Big data;Computer programming;Computer software;High level languages;Open source software;Open systems;Remote sensing;Software engineering;Visualization;CKAN;Climate data;Hidden information;Large amounts;Open datum;Python;Rainfall data;United kingdom;Data visualization
    Date: 2015-10
    Issue Date: 2017-08-14 15:54:16 (UTC+8)
    Abstract: The development of technology has promoted large amount of data to transmit through the Internet rapidly. As a result, data has accumulated and become big data. Data visualization plays an important role in revealing the hidden information in such a tremendous amount of data. On the other hand, governments around the world are making efforts in "open data". Although a lot of data generated by government become accessible, the majority are still text files and tables such as txt, xls, csv, xml files. If the citizens want to have comprehensive understanding of those data, data visualization will be necessary. Presenting all the data in graphs and figures can maximize the value of open data and are favorable for further use. In recent years, governments around the world trend to use the Comprehensive Knowledge Archive Network (CKAN), which was developed by Open Knowledge Foundation (OKF), as the tool to build their open data platforms. Hence, this research attains the open data released by governments by using the API provided by CKAN, takes the rainfall data of the United Kingdom area, which was on the open data platform (DATA.GOV.UK) released by the Met Office of the United Kingdom government, as an example, and visualizes these data by collocating with programming in Python. Through the experiment, the feasibility of this open data visualization process has been proved. If different themes of research and depths of the data are adopted this process, the value of open data might be amplified.
    Relation: ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings
    36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015; Crowne Plaza Manila GalleriaQuezon City, Metro Manila; Philippines; 24 October 2015 到 28 October 2015; 代碼 118634
    Data Type: conference
    Appears in Collections:[地政學系] 會議論文

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