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A comparative study of spatial interpolation methods for determining fishery resources density in the Yellow Sea
Chen Yunlong1,3,4,5; Shan Xiujuan2,3,4; Jin Xianshi2,3,4; Yang Tao3,4; Dai Fangqun3,4; Yang Dingtian6
2016-12-01
Source PublicationACTA OCEANOLOGICA SINICA
Volume35Issue:12Pages:65-72
SubtypeArticle
AbstractSpatial interpolation is a common tool used in the study of fishery ecology, especially for the construction of ecosystem models. To develop an appropriate interpolation method of determining fishery resources density in the Yellow Sea, we tested four frequently used methods, including inverse distance weighted interpolation (IDW), global polynomial interpolation (GPI), local polynomial interpolation (LPI) and ordinary kriging (OK). A cross-validation diagnostic was used to analyze the efficacy of interpolation, and a visual examination was conducted to evaluate the spatial performance of the different methods. The results showed that the original data were not normally distributed. A log transformation was then used to make the data fit a normal distribution. During four survey periods, an exponential model was shown to be the best semivariogram model in August and October 2014, while data from January and May 2015 exhibited the pure nugget effect. Using a paired-samples t test, no significant differences (P > 0.05) between predicted and observed data were found in all four of the interpolation methods during the four survey periods. Results of the cross-validation diagnostic demonstrated that OK performed the best in August 2014, while IDW performed better during the other three survey periods. The GPI and LPI methods had relatively poor interpolation results compared to IDW and OK. With respect to the spatial distribution, OK was balanced and was not as disconnected as IDW nor as overly smooth as GPI and LPI, although OK still produced a few "bull's-eye" patterns in some areas. However, the degree of autocorrelation sometimes limits the application of OK. Thus, OK is highly recommended if data are spatially autocorrelated. With respect to feasibility and accuracy, we recommend IDW to be used as a routine interpolation method. IDW is more accurate than GPI and LPI and has a combination of desirable properties, such as easy accessibility and rapid processing.
KeywordSpatial Interpolation Methods Fishery Resources Density Yellow Sea
DOI10.1007/s13131-016-0966-y
Indexed BySCI
Language英语
WOS IDWOS:000391423600008
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Version出版稿
Identifierhttp://ir.qdio.ac.cn/handle/337002/136277
Collection实验海洋生物学重点实验室
海洋生态与环境科学重点实验室
Affiliation1.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China
2.Qingdao Natl Lab Marine Sci & Technol, Funct Lab Marine Fisheries Sci & Food Prod Proc, Qingdao 266100, Peoples R China
3.Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, Key Lab Sustainable Dev Marine Fisheries, Minist Agr, Qingdao 266071, Peoples R China
4.Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, Shandong Prov Key Lab Fishery Resources & Ecol En, Qingdao 266071, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
6.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Oceanog Trop, Guangzhou 510301, Guangdong, Peoples R China
First Author Affilication中国科学院海洋研究所
Recommended Citation
GB/T 7714
Chen Yunlong,Shan Xiujuan,Jin Xianshi,et al. A comparative study of spatial interpolation methods for determining fishery resources density in the Yellow Sea[J]. ACTA OCEANOLOGICA SINICA,2016,35(12):65-72.
APA Chen Yunlong,Shan Xiujuan,Jin Xianshi,Yang Tao,Dai Fangqun,&Yang Dingtian.(2016).A comparative study of spatial interpolation methods for determining fishery resources density in the Yellow Sea.ACTA OCEANOLOGICA SINICA,35(12),65-72.
MLA Chen Yunlong,et al."A comparative study of spatial interpolation methods for determining fishery resources density in the Yellow Sea".ACTA OCEANOLOGICA SINICA 35.12(2016):65-72.
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