How much uncertainty does the choice of data transforming method brings to heat risk mapping? Evidence from China

Wei Zhang (), Qianxing Zhao and Minjie Pei
Additional contact information
Wei Zhang: Southwest University
Qianxing Zhao: Southwest University
Minjie Pei: Southwest University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2021, vol. 106, issue 1, No 15, 349-373

Abstract: Abstract Increasing extreme heat events have threatened human health seriously in the context of global climate change. As an important policy tool to resist heat-related risks, growing attentions have been paid on heat risk mapping researches in recent years. Unfortunately, the uncertainties caused by the subjective choice of data transforming method remain unclear. This study compared four data transforming methods and investigated the impacts of data transforming method selection on the outputs of heat risk assessment and mapping. The results indicated that the choice of data transforming methods will greatly affect the stability of heat risk mapping outputs and is likely to mislead decision makers. Only 4.56% of the counties that their heat risk levels derived from four data transforming methods remain consistent. The stability of heat risk mapping output was highly relevant to the population density. Regions with higher population density usually have lower stability for its mapping results. The "Number" method and the "Total PD" method are recommended for their satisfactory validation accuracy and unambiguous policy orientation; while the "Proportion" method is not recommended for its poor validation accuracy and vague policy guiding. Graphic abstract

Keywords: Heat risk mapping; Data transforming method; Uncertainty; Demographic indicator; China (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11069-020-04466-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:106:y:2021:i:1:d:10.1007_s11069-020-04466-y

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-020-04466-y

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().