Combining Geostatistics with Moran’s I Analysis for Mapping Soil Heavy Metals in Beijing, China

Xiao-Ni Huo, Hong Li, Dan-Feng Sun, Lian-Di Zhou and Bao-Guo Li
Additional contact information
Xiao-Ni Huo: Beijing Academy of Agriculture and Forestry, Beijing 100089, China
Hong Li: Beijing Academy of Agriculture and Forestry, Beijing 100089, China
Dan-Feng Sun: Department of Land Resources and Management, College of Natural Resources and Environment Science, China Agricultural University, Beijing 100193, China
Lian-Di Zhou: Beijing Academy of Agriculture and Forestry, Beijing 100089, China
Bao-Guo Li: Department of Land Resources and Management, College of Natural Resources and Environment Science, China Agricultural University, Beijing 100193, China

IJERPH, 2012, vol. 9, issue 3, 1-23

Abstract: Production of high quality interpolation maps of heavy metals is important for risk assessment of environmental pollution. In this paper, the spatial correlation characteristics information obtained from Moran’s I analysis was used to supplement the traditional geostatistics. According to Moran’s I analysis, four characteristics distances were obtained and used as the active lag distance to calculate the semivariance. Validation of the optimality of semivariance demonstrated that using the two distances where the Moran’s I and the standardized Moran’s I, Z(I) reached a maximum as the active lag distance can improve the fitting accuracy of semivariance. Then, spatial interpolation was produced based on the two distances and their nested model. The comparative analysis of estimation accuracy and the measured and predicted pollution status showed that the method combining geostatistics with Moran’s I analysis was better than traditional geostatistics. Thus, Moran’s I analysis is a useful complement for geostatistics to improve the spatial interpolation accuracy of heavy metals.

Keywords: geostatistics; Moran’s I analysis; heavy metals; Beijing (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.mdpi.com/1660-4601/9/3/995/pdf (application/pdf)
https://www.mdpi.com/1660-4601/9/3/995/ (text/html)

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:gam:jijerp:v:9:y:2012:i:3:p:995-1017:d:16741

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().