The Innovation Geoscience > 2023 Vol. 1 > No. 1 > 100006
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A sustainable solar city: From utopia to reality facilitated by GIScience

  • 1.

    Institute of High Performance Computing , Agency for Science, Technology and Research, 1 Fusionopolis Way, Singapore 138632, Singapore

  • 2.

    Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing 210023, China

  • 3.

    Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong SAR, China

  • 4.

    Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China

  • 5.

    Senseable City Laboratory, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, MA 02139, USA

  • 6.

    International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China

  • 7.

    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China

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  • Corresponding author: chenmin0902@njnu.edu.cn
  • Received Date:  06 March 2023
    Accepted Date:  09 April 2023
    Published Online:  24 May 2023
The Innovation Geoscience  1(1),  https://doi.org/10.59717/j.xinn-geo.2023.100006  |  Cite this article
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    • REFERENCES
  • [1] Rahaman, Z.A., Kafy, A.A., Saha, M., et al. (2022). Assessing the impacts of vegetation cover loss on surface temperature, urban heat island and carbon emission in Penang city, Malaysia. Building and Environment 222: 109335. DOI: 10.1016/j.buildenv.2022.109335.

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  • Cite this article:

    Zhu R., Zhang F., Yan J., et al., (2023). A sustainable solar city: From utopia to reality facilitated by GIScience. The Innovation Geoscience 1(1), 100006. https://doi.org/10.59717/j.xinn-geo.2023.100006
    Zhu R., Zhang F., Yan J., et al., (2023). A sustainable solar city: From utopia to reality facilitated by GIScience. The Innovation Geoscience 1(1), 100006. https://doi.org/10.59717/j.xinn-geo.2023.100006

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