IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v81y2016i3d10.1007_s11069-016-2160-0.html
   My bibliography  Save this article

Building probabilistic models of fire occurrence and fire risk zoning using logistic regression in Shanxi Province, China

Author

Listed:
  • Jinghu Pan

    (Northwest Normal University)

  • Weiguo Wang

    (Northwest Normal University)

  • Junfeng Li

    (Northwest Normal University)

Abstract

Fires are a recurrent environmental and economic emergency throughout the world. Fire risk analysis and forest fire risk zoning are important aspects of forest fire management. MODIS remote sensing datasets for Shanxi Province from 2002 to 2012 were used to build a spatial logistic forest fire risk model, based on the spatial distribution of forest fires and forest fire-influencing factors, using geographic information system technology. A forest fire risk zoning study was conducted at a large temporal scale and a provincial spatial scale. The resulting logistic model of forest fire risk, built with spatial sampling, showed a good fit (p

Suggested Citation

  • Jinghu Pan & Weiguo Wang & Junfeng Li, 2016. "Building probabilistic models of fire occurrence and fire risk zoning using logistic regression in Shanxi Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1879-1899, April.
    • Handle: RePEc:spr:nathaz:v:81:y:2016:i:3:d:10.1007_s11069-016-2160-0
    DOI: 10.1007/s11069-016-2160-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-016-2160-0
    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/s11069-016-2160-0?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. Litao Wang & Yi Zhou & Weiqi Zhou & Shixing Wang, 2013. "Fire danger assessment with remote sensing: a case study in Northern China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(1), pages 819-834, January.
    2. Stephen Matthews & Tse-Chuan Yang, 2012. "Mapping the results of local statistics," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 26(6), pages 151-166.
    3. Jaehoon Jung & Changjae Kim & Shanmuganathan Jayakumar & Seongsam Kim & Soohee Han & Dong Kim & Joon Heo, 2013. "Forest fire risk mapping of Kolli Hills, India, considering subjectivity and inconsistency issues," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 2129-2146, February.
    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. Chaoxue Tan & Zhongke Feng, 2023. "Mapping Forest Fire Risk Zones Using Machine Learning Algorithms in Hunan Province, China," Sustainability, MDPI, vol. 15(7), pages 1-17, April.
    2. Liu, Shilei & Xu, Jintao, 2022. "Wildfire, protected areas and forest ownership: The case of China," Land Use Policy, Elsevier, vol. 122(C).
    3. Xu Jia & Yong Gao & Baocheng Wei & Shan Wang & Guodong Tang & Zhonghua Zhao, 2019. "Risk Assessment and Regionalization of Fire Disaster Based on Analytic Hierarchy Process and MODIS Data: A Case Study of Inner Mongolia, China," Sustainability, MDPI, vol. 11(22), pages 1-17, November.

    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. Ehsan Chowdhury & Quazi Hassan, 2013. "Use of remote sensing-derived variables in developing a forest fire danger forecasting system," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 67(2), pages 321-334, June.
    2. Jay Mittal & Sweta Byahut, 2019. "Scenic landscapes, visual accessibility and premium values in a single family housing market: A spatial hedonic approach," Environment and Planning B, , vol. 46(1), pages 66-83, January.
    3. Stephen Matthews & Daniel M. Parker, 2013. "Progress in Spatial Demography," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(10), pages 271-312.
    4. Shijie Yang & Yunjia Wang & Rongqing Han & Yong Chang & Xihua Sun, 2021. "Spatial Heterogeneity of Factors Influencing CO 2 Emissions in China’s High-Energy-Intensive Industries," Sustainability, MDPI, vol. 13(15), pages 1-24, July.
    5. Khalid Al-Ahmadi & Ali Al-Zahrani, 2013. "NO 2 and Cancer Incidence in Saudi Arabia," IJERPH, MDPI, vol. 10(11), pages 1-19, November.
    6. Hui Yun Rebecca Neo & Nyuk Hien Wong & Marcel Ignatius & Chao Yuan & Yong Xu & Kai Cao, 2023. "Spatial analysis of public residential housing's electricity consumption in relation to urban landscape and building characteristics: A case study in Singapore," Energy & Environment, , vol. 34(2), pages 233-254, March.
    7. Xiaowei Li & Gang Zhao & Xiubo Yu & Qiang Yu, 2014. "A comparison of forest fire indices for predicting fire risk in contrasting climates in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(2), pages 1339-1356, January.
    8. Wenliang Liu & Litao Wang & Yi Zhou & Shixin Wang & Jinfeng Zhu & Futao Wang, 2016. "A comparison of forest fire burned area indices based on HJ satellite data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 971-980, March.
    9. Wenliang Liu & Shixin Wang & Yi Zhou & Litao Wang & Jinfeng Zhu & Futao Wang, 2016. "Lightning-caused forest fire risk rating assessment based on case-based reasoning: a case study in DaXingAn Mountains of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 347-363, March.
    10. Yoo Min Park & Gregory D. Kearney & Bennett Wall & Katherine Jones & Robert J. Howard & Ray H. Hylock, 2021. "COVID-19 Deaths in the United States: Shifts in Hot Spots over the Three Phases of the Pandemic and the Spatiotemporally Varying Impact of Pandemic Vulnerability," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    11. Seulki Kim & Carla Shoff & Tse-Chuan Yang, 2021. "Spatial Non-stationarity in Opioid Prescribing Rates: Evidence from Older Medicare Part D Beneficiaries," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(2), pages 127-136, April.
    12. Vivian Yi-Ju Chen & Kiwoong Park & Feinuo Sun & Tse-Chuan Yang, 2022. "Assessing COVID-19 risk with temporal indices and geographically weighted ordinal logistic regression in US counties," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-16, April.
    13. Zubairul Islam & Muthukumarasamy Ranganathan & Murugesan Bagyaraj & Sudhir Kumar Singh & Sandeep Kumar Gautam, 2022. "Multi-decadal groundwater variability analysis using geostatistical method for groundwater sustainability," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3146-3164, March.
    14. Sarkawt G. Salar & Arsalan Ahmed Othman & Sabri Rasooli & Salahalddin S. Ali & Zaid T. Al-Attar & Veraldo Liesenberg, 2022. "GIS-Based Modeling for Vegetated Land Fire Prediction in Qaradagh Area, Kurdistan Region, Iraq," Sustainability, MDPI, vol. 14(10), pages 1-31, May.
    15. Wenliang Liu & Litao Wang & Yi Zhou & Shixin Wang & Jinfeng Zhu & Futao Wang, 2016. "A comparison of forest fire burned area indices based on HJ satellite data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 971-980, March.
    16. Kubiszewski, Ida & Jarvis, Diane & Zakariyya, Nabeeh, 2019. "Spatial variations in contributors to life satisfaction: An Australian case study," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    17. Greg Rybarczyk & Dorceta Taylor & Shannon Brines & Richard Wetzel, 2019. "A Geospatial Analysis of Access to Ethnic Food Retailers in Two Michigan Cities: Investigating the Importance of Outlet Type within Active Travel Neighborhoods," IJERPH, MDPI, vol. 17(1), pages 1-18, December.
    18. Valencia Torres, Angélica & Tiwari, Chetan & Atkinson, Samuel F., 2021. "Progress in ecosystem services research: A guide for scholars and practitioners," Ecosystem Services, Elsevier, vol. 49(C).
    19. Wenliang Liu & Shixin Wang & Yi Zhou & Litao Wang & Jinfeng Zhu & Futao Wang, 2016. "Lightning-caused forest fire risk rating assessment based on case-based reasoning: a case study in DaXingAn Mountains of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 347-363, March.
    20. Gianluigi Busico & Elisabetta Giuditta & Nerantzis Kazakis & Nicolò Colombani, 2019. "A Hybrid GIS and AHP Approach for Modelling Actual and Future Forest Fire Risk Under Climate Change Accounting Water Resources Attenuation Role," Sustainability, MDPI, vol. 11(24), pages 1-20, December.

    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:nathaz:v:81:y:2016:i:3:d:10.1007_s11069-016-2160-0. 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.