IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i5p1363-d143570.html

Accuracy Assessment of Multi-Source Gridded Population Distribution Datasets in China

Author

Listed:
  • Zhongqiang Bai

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Beijing GEOWAY Software Co., Ltd., Beijing 100043, China)

  • Juanle Wang

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

  • Mingming Wang

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255049, China)

  • Mengxu Gao

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    National Science and Technology Infrastructure Center, Beijing 100862, China)

  • Jiulin Sun

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

Abstract

Population is one of the core elements of sustainable development. Quantifying the estimation accuracy of population spatial distribution has been recognized as a critical and challenging task. This study aims to evaluate the data accuracy of four population datasets in China, including three global gridded population datasets, the Gridded Population of the World (GPW), Global Rural and Urban Mapping Project (GRUMP), and WorldPop project (WorldPop), and a Chinese regional gridded population dataset, the China 1 km Gridded Population (CnPop) dataset. These datasets are assessed using a specific method based on a GIS-linked 2000 census dataset at the township level in China. The results indicate that WorldPop had the highest estimation accuracy, estimating about 60% of the total population. CnPop accurately estimated about half of the total population, showing a good mapping performance. The GPW had an acceptable estimation accuracy in a few plain and basin areas, accounting for about 30% of the total population. Compared to the GPW, GRUMP accurately estimated about 40% of the total population. The relative estimation error analysis discovered the disadvantages of the generation strategies of these datasets. The conclusions are expected to serve as a quality reference for potential dataset users and producers, and promote accuracy assessment for population datasets in other regions and globally.

Suggested Citation

  • Zhongqiang Bai & Juanle Wang & Mingming Wang & Mengxu Gao & Jiulin Sun, 2018. "Accuracy Assessment of Multi-Source Gridded Population Distribution Datasets in China," Sustainability, MDPI, vol. 10(5), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1363-:d:143570
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/5/1363/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/5/1363/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andrea E Gaughan & Forrest R Stevens & Catherine Linard & Peng Jia & Andrew J Tatem, 2013. "High Resolution Population Distribution Maps for Southeast Asia in 2010 and 2015," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-11, February.
    2. Chi Zhang, 2017. "Population in China," Europe-Asia Studies, Taylor & Francis Journals, vol. 69(8), pages 1333-1334, September.
    3. Andrew J Tatem & Abdisalan M Noor & Craig von Hagen & Antonio Di Gregorio & Simon I Hay, 2007. "High Resolution Population Maps for Low Income Nations: Combining Land Cover and Census in East Africa," PLOS ONE, Public Library of Science, vol. 2(12), pages 1-8, December.
    4. Simon I Hay & Carlos A Guerra & Peter W Gething & Anand P Patil & Andrew J Tatem & Abdisalan M Noor & Caroline W Kabaria & Bui H Manh & Iqbal R F Elyazar & Simon Brooker & David L Smith & Rana A Moyee, 2009. "A World Malaria Map: Plasmodium falciparum Endemicity in 2007," PLOS Medicine, Public Library of Science, vol. 6(3), pages 1-17, March.
    5. Neil M. Ferguson & Derek A.T. Cummings & Simon Cauchemez & Christophe Fraser & Steven Riley & Aronrag Meeyai & Sopon Iamsirithaworn & Donald S. Burke, 2005. "Strategies for containing an emerging influenza pandemic in Southeast Asia," Nature, Nature, vol. 437(7056), pages 209-214, September.
    6. Balk, Deborah & Storeygard, Adam & Levy, Marc & Gaskell, Joanne & Sharma, Manohar & Flor, Rafael, 2005. "Child hunger in the developing world: An analysis of environmental and social correlates," Food Policy, Elsevier, vol. 30(5-6), pages 584-611.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhen Mao & Haifeng Han & Heng Zhang & Bo Ai, 2022. "Population spatialization at building scale based on residential population index—A case study of Qingdao city," PLOS ONE, Public Library of Science, vol. 17(5), pages 1-21, May.
    2. Zhao, Chuyun & Tang, Jinjun & Kong, Xiangxin & Yu, Tianjian & Li, Zhitao, 2024. "Emission analysis of multi-mode public transportation based on joint choice model considering built environment factors," Energy, Elsevier, vol. 309(C).
    3. Daniela Palacios-Lopez & Felix Bachofer & Thomas Esch & Wieke Heldens & Andreas Hirner & Mattia Marconcini & Alessandro Sorichetta & Julian Zeidler & Claudia Kuenzer & Stefan Dech & Andrew J. Tatem & , 2019. "New Perspectives for Mapping Global Population Distribution Using World Settlement Footprint Products," Sustainability, MDPI, vol. 11(21), pages 1-24, October.
    4. Lingbo Liu & Zhenghong Peng & Hao Wu & Hongzan Jiao & Yang Yu & Jie Zhao, 2018. "Fast Identification of Urban Sprawl Based on K-Means Clustering with Population Density and Local Spatial Entropy," Sustainability, MDPI, vol. 10(8), pages 1-16, July.
    5. Yan Yan & Hui Liu & Ningcheng Wang & Shenjun Yao, 2021. "How Does Low-Density Urbanization Reduce the Financial Sustainability of Chinese Cities? A Debt Perspective," Land, MDPI, vol. 10(9), pages 1-18, September.
    6. Franz Schug & David Frantz & Sebastian van der Linden & Patrick Hostert, 2021. "Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-23, March.
    7. Gao, Fan & Han, Chunyang & Yang, Linchuan & Liang, Jian & He, Xuan & Li, Fan, 2024. "Analyzing spatiotemporal distribution patterns of metro ridership: Comparison between common-class and business-class carriage service," Journal of Transport Geography, Elsevier, vol. 115(C).
    8. Xiafan Wan & Wentao Yang, 2025. "A divide-and-conquer method for predicting the fine-grained spatial distribution of population in urban and rural areas," Journal of Geographical Systems, Springer, vol. 27(2), pages 283-299, April.
    9. Fan Gao & Jinjun Tang & Zhitao Li, 2022. "Effects of spatial units and travel modes on urban commuting demand modeling," Transportation, Springer, vol. 49(6), pages 1549-1575, December.
    10. Grabska-Szwagrzyk, Ewa & Hashemvand Khiabani, Pegah & Pesoa-Marcilla, Melisa & Chaturvedi, Vineet & de Vries, Walter Timo, 2024. "Exploring land use dynamics in rural areas. An analysis of eight cases in the Global North," Land Use Policy, Elsevier, vol. 144(C).
    11. Chenchen Shi & Xiaoping Zhu & Haowei Wu & Zhihui Li, 2022. "Urbanization Impact on Regional Sustainable Development: Through the Lens of Urban-Rural Resilience," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    12. Jing Yu & Yingying Meng & Size Zhou & Huaiwen Zeng & Ming Li & Zhaoxia Chen & Yan Nie, 2023. "Research on Spatial Delineation Method of Urban-Rural Fringe Combining POI and Nighttime Light Data—Taking Wuhan City as an Example," IJERPH, MDPI, vol. 20(5), pages 1-22, March.
    13. Yan Yan & Hui Liu & Canfei He, 2021. "How Does Urban Sprawl Affect Public Health? Evidence from Panel Survey Data in Urbanizing China," IJERPH, MDPI, vol. 18(19), pages 1-14, September.
    14. Ruihao Cui & Jiazheng Han & Zhenqi Hu, 2022. "Assessment of Spatial Temporal Changes of Ecological Environment Quality: A Case Study in Huaibei City, China," Land, MDPI, vol. 11(6), pages 1-19, June.
    15. Fahao Wang & Weidong Lu & Jingyun Zheng & Shicheng Li & Xuezhen Zhang, 2020. "Spatially Explicit Mapping of Historical Population Density with Random Forest Regression: A Case Study of Gansu Province, China, in 1820 and 2000," Sustainability, MDPI, vol. 12(3), pages 1-16, February.
    16. Marta Sapena & Marlene Kühnl & Michael Wurm & Jorge E Patino & Juan C Duque & Hannes Taubenböck, 2022. "Empiric recommendations for population disaggregation under different data scenarios," PLOS ONE, Public Library of Science, vol. 17(9), pages 1-29, September.
    17. Zhao, Chuyun & Tang, Jinjun & Zeng, Yu & Li, Zhitao & Gao, Fan, 2023. "Understanding the spatio-temporally heterogeneous effects of built environment on urban travel emissions," Journal of Transport Geography, Elsevier, vol. 112(C).
    18. Gao, Fan & Yang, Linchuan & Han, Chunyang & Tang, Jinjun & Li, Zhitao, 2022. "A network-distance-based geographically weighted regression model to examine spatiotemporal effects of station-level built environments on metro ridership," Journal of Transport Geography, Elsevier, vol. 105(C).
    19. Lanhui Li & Pingshan Jiang & Wenfeng Liu & Yaxin Sun & Zhanhao Dang, 2022. "Increasing Spatial Mismatch of Cropland-Grain Production-Population in China over the Past Two Decades," Land, MDPI, vol. 11(10), pages 1-14, September.

    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. Eva‐Maria Egger & Aslihan Arslan & Emanuele Zucchini, 2022. "Does connectivity reduce gender gaps in off‐farm employment? Evidence from 12 low‐ and middle‐income countries," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 197-218, March.
    2. Yanhui Wang & Jianchen Zhang, 2018. "Integrating BP and MGWR-SL Model to Estimate Village-Level Poor Population: An Experimental Study from Qianjiang, China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(2), pages 639-663, July.
    3. Kathryn Grace & Nicholas N. Nagle & Clara R. Burgert‐Brucker & Shelby Rutzick & David C. Van Riper & Trinadh Dontamsetti & Trevor Croft, 2019. "Integrating Environmental Context into DHS Analysis While Protecting Participant Confidentiality: A New Remote Sensing Method," Population and Development Review, The Population Council, Inc., vol. 45(1), pages 197-218, March.
    4. Dmowska Anna, 2019. "Dasymetric Modelling of Population Distribution – Large Data Approach," Quaestiones Geographicae, Sciendo, vol. 38(1), pages 15-27, March.
    5. Tamer Edirne & Dilek Avci & Burçak Dagkara & Muslum Aslan, 2011. "Knowledge and anticipated attitudes of the community about bird flu outbreak in Turkey, 2007–2008: a survey-based descriptive study," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 56(2), pages 163-168, April.
    6. Wei Zhong, 2017. "Simulating influenza pandemic dynamics with public risk communication and individual responsive behavior," Computational and Mathematical Organization Theory, Springer, vol. 23(4), pages 475-495, December.
    7. Jidong Wu & Ying Li & Ning Li & Peijun Shi, 2018. "Development of an Asset Value Map for Disaster Risk Assessment in China by Spatial Disaggregation Using Ancillary Remote Sensing Data," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 17-30, January.
    8. repec:plo:pone00:0107042 is not listed on IDEAS
    9. Linus Nyiwul, 2021. "Epidemic Control and Resource Allocation: Approaches and Implications for the Management of COVID-19," Studies in Microeconomics, , vol. 9(2), pages 283-305, December.
    10. Jia Zhang & Xiaoshu Chen & Shiwei Huang & Yi Wang & Wei Lin & Rui Zhou & He Zou, 2018. "Two-minute walk test: Reference equations for healthy adults in China," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-10, August.
    11. Florence Burté & Biobele J Brown & Adebola E Orimadegun & Wasiu A Ajetunmobi & Francesca Battaglia & Barry K Ely & Nathaniel K Afolabi & Dimitrios Athanasakis & Francis Akinkunmi & Olayinka Kowobari &, 2012. "Severe Childhood Malaria Syndromes Defined by Plasma Proteome Profiles," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-11, December.
    12. Yishu, Li, 2019. "A photovoltaic ecosystem: improving atmospheric environment and fighting regional poverty," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 69-79.
    13. Karthik Balasubramanian & David F. Drake, 2015. "Service Quality, Inventory and Competition: An Empirical Analysis of Mobile Money Agents in Africa," Harvard Business School Working Papers 15-059, Harvard Business School, revised Oct 2015.
    14. Andrew J Black & Joshua V Ross, 2013. "Estimating a Markovian Epidemic Model Using Household Serial Interval Data from the Early Phase of an Epidemic," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-8, August.
    15. Li, Qian & Xiao, Yanni, 2023. "Analysis of a hybrid SIR model combining the fixed-moments pulse interventions with susceptibles-triggered threshold policy," Applied Mathematics and Computation, Elsevier, vol. 453(C).
    16. Nguyen, Le Khanh Ngan & Howick, Susan & Megiddo, Itamar, 2024. "A framework for conceptualising hybrid system dynamics and agent-based simulation models," European Journal of Operational Research, Elsevier, vol. 315(3), pages 1153-1166.
    17. Haile, B. & Azzarri, C. & Heady, D. & You, L., 2018. "Climate, climate shocks and child nutrition in Africa’s diverse farming systems," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275928, International Association of Agricultural Economists.
    18. Luyao Wang & Hong Fan & Yankun Wang, 2018. "Estimation of consumption potentiality using VIIRS night-time light data," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-19, October.
    19. Edoardo Di Porto & Paolo Naticchioni & Vincenzo Scrutinio, 2020. "Partial Lockdown and the Spread of Covid-19: Lessons from the Italian Case," CSEF Working Papers 569, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    20. Bin Du & Ying Wang & Jiaxin He & Wai Li & Xiaohong Chen, 2021. "Spatio-Temporal Characteristics and Obstacle Factors of the Urban-Rural Integration of China’s Shrinking Cities in the Context of Sustainable Development," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    21. Dianxi Wang & Yufeng Zhao, 2021. "A potential new pattern of pathway to adulthood is emerging in China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(42), pages 1023-1056.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:gam:jsusta:v:10:y:2018:i:5:p:1363-:d:143570. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.