IDEAS home Printed from https://ideas.repec.org/a/spr/lsprsc/v17y2024i1d10.1007_s12076-024-00374-y.html
   My bibliography  Save this article

Quantum machine learning in spatial analysis: a paradigm shift in resource allocation and environmental modeling

Author

Listed:
  • Eric Vaz

    (Toronto Metropolitan University)

Abstract

This paper explores the ground-breaking approach that quantum computing may have in spatial and resource sciences, capitalizing on the advanced capabilities to revolutionize applications of quantum machine learning (QML). It explores the integration of quantum algorithms with traditional spatial econometric models, highlighting their potential impact on critical areas such as environmental and resource economics, urban planning, and regional development. The paper establishes a robust theoretical foundation for spatial quantum-enhanced machine learning, demonstrating how it can significantly refine the accuracy and efficiency of spatial-temporal data analysis. This enhancement is critical for effectively understanding and addressing challenges in environmental change, urbanization trends, and resource allocation. The innovation of spatial QML models may soon support managing complex, high-dimensional spatial datasets, which often pose significant challenges for classical computing methods. The paper illustrates the capacity of quantum computing to deliver more precise predictions and deeper insights into spatial dynamics, thereby acting as a transformative tool for policymakers and planners in city and regional planning. The findings highlight the practical applications of QML in spatial and resource sciences and pave the way for new research directions. This work is a seminal contribution to the emerging spatial quantum machine learning field, offering a new perspective and cost-efficient methodology for tackling complex spatial issues.

Suggested Citation

  • Eric Vaz, 2024. "Quantum machine learning in spatial analysis: a paradigm shift in resource allocation and environmental modeling," Letters in Spatial and Resource Sciences, Springer, vol. 17(1), pages 1-13, December.
  • Handle: RePEc:spr:lsprsc:v:17:y:2024:i:1:d:10.1007_s12076-024-00374-y
    DOI: 10.1007/s12076-024-00374-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12076-024-00374-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12076-024-00374-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Raihan Ur Rasool & Hafiz Farooq Ahmad & Wajid Rafique & Adnan Qayyum & Junaid Qadir & Zahid Anwar, 2023. "Quantum Computing for Healthcare: A Review," Future Internet, MDPI, vol. 15(3), pages 1-36, February.
    2. Jacob Biamonte & Peter Wittek & Nicola Pancotti & Patrick Rebentrost & Nathan Wiebe & Seth Lloyd, 2017. "Quantum machine learning," Nature, Nature, vol. 549(7671), pages 195-202, September.
    3. Luc Anselin, 2001. "Spatial Effects in Econometric Practice in Environmental and Resource Economics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 705-710.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wu, Jiang & Ou, Guiyan & Liu, Xiaohui & Dong, Ke, 2022. "How does academic education background affect top researchers’ performance? Evidence from the field of artificial intelligence," Journal of Informetrics, Elsevier, vol. 16(2).
    2. Aditya Kusuma & Bethanna Jackson & Ilan Noy, 2018. "A viable and cost-effective weather index insurance for rice in Indonesia," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 43(2), pages 186-218, September.
    3. Marzieh Ronaghi & Michael Reed & Sayed Saghaian, 2020. "The impact of economic factors and governance on greenhouse gas emission," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 22(2), pages 153-172, April.
    4. Xiao Ma & Yongchun Yang & Huazhang Zhu, 2025. "Spatiotemporal Characteristics and Influencing Factors of Renewable Energy Production Development in Ningxia Hui Autonomous Region, China (2014–2021)," Land, MDPI, vol. 14(4), pages 1-26, April.
    5. Huang, Wei, 2019. "Forest condition change, tenure reform, and government-funded eco-environmental programs in Northeast China," Forest Policy and Economics, Elsevier, vol. 98(C), pages 67-74.
    6. Seya, Hajime & Nakamichi, Kumiko & Yamagata, Yoshiki, 2016. "The residential parking rent price elasticity of car ownership in Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 123-134.
    7. Baylis, Kathy & Paulson, Nicholas D. & Piras, Gianfranco, 2011. "Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(3), pages 325-338, August.
    8. Shiwei Yu & Xing Hu & Xuejiao Zhang & Zhenxi Li, 2019. "Convergence of per capita carbon emissions in the Yangtze River Economic Belt, China," Energy & Environment, , vol. 30(5), pages 776-799, August.
    9. Xie, Li & Li, Siyi, 2024. "Climate risk and energy-saving technology innovation: Evidence from Chinese prefecture-level cities," Energy Economics, Elsevier, vol. 139(C).
    10. Meicun Li & Chunmei Mao, 2020. "Spatial Effect of Industrial Energy Consumption Structure and Transportation on Haze Pollution in Beijing-Tianjin-Hebei Region," IJERPH, MDPI, vol. 17(15), pages 1-12, August.
    11. Massimiliano Agovino & Antonio Garofalo, 2013. "Dipendenza spaziale contemporanea e non contemporanea nei tassi di disoccupazione: un tentativo di analisi empirica dei dati provinciali italiani," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2013(3), pages 45-82.
    12. repec:iab:iabjlr:v:55:i::p:art.11 is not listed on IDEAS
    13. Li, Nianqiao & Yan, Fei & Hirota, Kaoru, 2022. "Quantum data visualization: A quantum computing framework for enhancing visual analysis of data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
    14. Leila Ali & Marie Lebreton, 2007. "The ERM breakdown: a spatial econometric approach," Applied Economics Letters, Taylor & Francis Journals, vol. 14(3), pages 197-201.
    15. Janne Artell, 2014. "Lots of value? A spatial hedonic approach to water quality valuation," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 57(6), pages 862-882, June.
    16. Mohapatra, Souryabrata & Wen, Le & Sharp, Basil & Sahoo, Dukhabandhu, 2024. "Unveiling the spatial dynamics of climate impact on rice yield in India," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 922-945.
    17. Ben Gilbert & Hannah Gagarin & Ben Hoen, 2023. "Geographic Spillovers of Wind Energy Development on Wages and Employment," Working Papers 2023-01, Colorado School of Mines, Division of Economics and Business.
    18. Hao, Yu & Zhang, Zong-Yong & Liao, Hua & Wei, Yi-Ming, 2015. "China’s farewell to coal: A forecast of coal consumption through 2020," Energy Policy, Elsevier, vol. 86(C), pages 444-455.
    19. Xuhui Ding & Zhongyao Cai & Qianqian Xiao & Suhui Gao, 2019. "A Study on The Driving Factors and Spatial Spillover of Carbon Emission Intensity in The Yangtze River Economic Belt under Double Control Action," IJERPH, MDPI, vol. 16(22), pages 1-15, November.
    20. Yunling Ye & Sheng Ye & Haichao Yu, 2021. "Can Industrial Collaborative Agglomeration Reduce Haze Pollution? City-Level Empirical Evidence from China," IJERPH, MDPI, vol. 18(4), pages 1-22, February.
    21. Marinos, Theocharis & Belegri-Roboli, Athena & Michaelides, Panayotis G. & Konstantakis, Konstantinos Ν., 2022. "The spatial spillover effect of transport infrastructures in the Greek economy (2000–2013): A panel data analysis," Research in Transportation Economics, Elsevier, vol. 94(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:lsprsc:v:17:y:2024:i:1:d:10.1007_s12076-024-00374-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.