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

YE Xinyue; SHE Bing; WU Ling; ZHU Xinyan; CHENG Yeqing

doi:10.1007/s11769-014-0679-0

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Article Navigation > Chinese Geographical Science > 2014 > (3): 348-361

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

1.
Computational Social Science Lab & Department of Geography, Kent State University, Kent 44242, United States;
2.
State Key Lab of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
3.
College of Criminal Justice, Zhongnan University of Economics and Law, Wuhan 430073, China;
4.
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China

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
Received Date: 2013-09-02
Rev Recd Date: 2013-11-25
Publish Date: 2014-03-27

Abstract

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.
- open source,
- comparative,
- spatiotemporally integrated social sciences

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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

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

1. Computational Social Science Lab & Department of Geography, Kent State University, Kent 44242, United States;

2. State Key Lab of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;

3. College of Criminal Justice, Zhongnan University of Economics and Law, Wuhan 430073, China;

4. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China

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

Received Date: 2013-09-02

Rev Recd Date: 2013-11-25

Publish Date: 2014-03-27

Key words:

open source /
comparative /
spatiotemporally integrated social sciences

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

doi: 10.1007/s11769-014-0679-0

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通讯作者: 陈斌, bchen63@163.com

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