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An Open Source Toolkit for Identifying Comparative Space-time Research Questions

YE Xinyue SHE Bing WU Ling ZHU Xinyan CHENG Yeqing

YE Xinyue, SHE Bing, WU Ling, ZHU Xinyan, CHENG Yeqing. An Open Source Toolkit for Identifying Comparative Space-time Research Questions[J]. 中国地理科学, 2014, (3): 348-361. doi: 10.1007/s11769-014-0679-0
引用本文: YE Xinyue, SHE Bing, WU Ling, ZHU Xinyan, CHENG Yeqing. An Open Source Toolkit for Identifying Comparative Space-time Research Questions[J]. 中国地理科学, 2014, (3): 348-361. doi: 10.1007/s11769-014-0679-0
YE Xinyue, SHE Bing, WU Ling, ZHU Xinyan, CHENG Yeqing. An Open Source Toolkit for Identifying Comparative Space-time Research Questions[J]. Chinese Geographical Science, 2014, (3): 348-361. doi: 10.1007/s11769-014-0679-0
Citation: YE Xinyue, SHE Bing, WU Ling, ZHU Xinyan, CHENG Yeqing. An Open Source Toolkit for Identifying Comparative Space-time Research Questions[J]. Chinese Geographical Science, 2014, (3): 348-361. doi: 10.1007/s11769-014-0679-0

An Open Source Toolkit for Identifying Comparative Space-time Research Questions

doi: 10.1007/s11769-014-0679-0
基金项目: Under the auspices of Humanities and Social Science Research, Major Project of Chinese Ministry of Education (No. 13JJD790008), Basic Research Funds of National Higher Education Institutions of China (No. 2722013JC030), Zhongnan University of Economics and Law 2012 Talent Grant (No. 31541210702), Key Research Program of Chinese Academy of Sciences (No. KZZD-EW-06-03, KSZD-EW-Z-021-03), National Key Science and Technology Support Program of China (No. 2012BAH35B03)
详细信息
    通讯作者:

    CHENG Yeqing. E-mail: yqcheng@iga.ac.cn

An Open Source Toolkit for Identifying Comparative Space-time Research Questions

Funds: Under the auspices of Humanities and Social Science Research, Major Project of Chinese Ministry of Education (No. 13JJD790008), Basic Research Funds of National Higher Education Institutions of China (No. 2722013JC030), Zhongnan University of Economics and Law 2012 Talent Grant (No. 31541210702), Key Research Program of Chinese Academy of Sciences (No. KZZD-EW-06-03, KSZD-EW-Z-021-03), National Key Science and Technology Support Program of China (No. 2012BAH35B03)
More Information
    Corresponding author: CHENG Yeqing. E-mail: yqcheng@iga.ac.cn
  • 摘要: Comparative space-time thinking lies at the heart of spatiotemporally integrated social sciences. The multiple dimensions and scales of socioeconomic dynamics pose numerous challenges for the application and evaluation of public policies in the comparative context. At the same time, social scientists have been slow to adopt and implement new spatiotemporally explicit methods of data analysis due to the lack of extensible software packages, which becomes a major impediment to the promotion of spatiotemporal thinking. The proposed framework will address this need by developing a set of research questions based on space-time-distributional features of socioeconomic datasets. The authors aim to develop, evaluate, and implement this framework in an open source toolkit to comprehensively quantify the changes and level of hidden variation of space-time datasets across scales and dimensions. Free access to the source code allows a broader community to incorporate additional advances in perspectives and methods, thus facilitating interdisciplinary collaboration. Being written in Python, it is entirely cross-platform, lowering transmission costs in research and education.
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  • 收稿日期:  2013-09-02
  • 修回日期:  2013-11-25
  • 刊出日期:  2014-03-27

An Open Source Toolkit for Identifying Comparative Space-time Research Questions

doi: 10.1007/s11769-014-0679-0
    基金项目:  Under the auspices of Humanities and Social Science Research, Major Project of Chinese Ministry of Education (No. 13JJD790008), Basic Research Funds of National Higher Education Institutions of China (No. 2722013JC030), Zhongnan University of Economics and Law 2012 Talent Grant (No. 31541210702), Key Research Program of Chinese Academy of Sciences (No. KZZD-EW-06-03, KSZD-EW-Z-021-03), National Key Science and Technology Support Program of China (No. 2012BAH35B03)
    通讯作者: CHENG Yeqing. E-mail: yqcheng@iga.ac.cn

摘要: Comparative space-time thinking lies at the heart of spatiotemporally integrated social sciences. The multiple dimensions and scales of socioeconomic dynamics pose numerous challenges for the application and evaluation of public policies in the comparative context. At the same time, social scientists have been slow to adopt and implement new spatiotemporally explicit methods of data analysis due to the lack of extensible software packages, which becomes a major impediment to the promotion of spatiotemporal thinking. The proposed framework will address this need by developing a set of research questions based on space-time-distributional features of socioeconomic datasets. The authors aim to develop, evaluate, and implement this framework in an open source toolkit to comprehensively quantify the changes and level of hidden variation of space-time datasets across scales and dimensions. Free access to the source code allows a broader community to incorporate additional advances in perspectives and methods, thus facilitating interdisciplinary collaboration. Being written in Python, it is entirely cross-platform, lowering transmission costs in research and education.

English Abstract

YE Xinyue, SHE Bing, WU Ling, ZHU Xinyan, CHENG Yeqing. An Open Source Toolkit for Identifying Comparative Space-time Research Questions[J]. 中国地理科学, 2014, (3): 348-361. doi: 10.1007/s11769-014-0679-0
引用本文: YE Xinyue, SHE Bing, WU Ling, ZHU Xinyan, CHENG Yeqing. An Open Source Toolkit for Identifying Comparative Space-time Research Questions[J]. 中国地理科学, 2014, (3): 348-361. doi: 10.1007/s11769-014-0679-0
YE Xinyue, SHE Bing, WU Ling, ZHU Xinyan, CHENG Yeqing. An Open Source Toolkit for Identifying Comparative Space-time Research Questions[J]. Chinese Geographical Science, 2014, (3): 348-361. doi: 10.1007/s11769-014-0679-0
Citation: YE Xinyue, SHE Bing, WU Ling, ZHU Xinyan, CHENG Yeqing. An Open Source Toolkit for Identifying Comparative Space-time Research Questions[J]. Chinese Geographical Science, 2014, (3): 348-361. doi: 10.1007/s11769-014-0679-0
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