Advanced SearchSearch Tips
Identifying Spatial Distribution Pattern of Water Quality in Masan Bay Using Spatial Autocorrelation Index and Pearson's r
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : Ocean and Polar Research
  • Volume 29, Issue 4,  2007, pp.391-400
  • Publisher : Korea Institute of Ocean Science & Technology
  • DOI : 10.4217/OPR.2007.29.4.391
 Title & Authors
Identifying Spatial Distribution Pattern of Water Quality in Masan Bay Using Spatial Autocorrelation Index and Pearson's r
Choi, Hyun-Woo; Park, Jae-Moon; Kim, Hyun-Wook; Kim, Young-Ok;
  PDF(new window)
To identify the spatial distribution pattern of water quality in Masan Bay, Pearson's correlation as a common statistic method and Moran's I as a spatial autocorrelation statistics were applied to the hydrological data seasonally collected from Masan Bay for two years (). Spatial distribution of salinity, DO and silicate among the hydrological parameters clustered strongly while chlorophyll a distribution displayed a weak clustering. When the similarity matrix of Moran's I was compared with correlation matrix of Pearson's r, only the relationships of temperature vs. salinity, temperature vs. silicate and silicate vs. total inorganic nitrogen showed significant correlation and similarity of spatial clustered pattern. Considering Pearson's correlation and the spatial autocorrelation results, water quality distribution patterns of Masan Bay were conceptually simplified into four types. Based on the simplified types, Moran's I and Pearson's r were compared respectively with spatial distribution maps on salinity and silicate with a strong clustered pattern, and with chlorophyll a having no clustered pattern. According to these test results, spatial distribution of the water quality in Masan Bay could be summed up in four patterns. This summation should be developed as spatial index to be linked with pollutant and ecological indicators for coastal health assessment.
spatial autocorrelation index;spatial pattern types;Moran's I similarity matrix;Pearson's r;Masan Bay;
 Cited by
진해만의 장기 수질변동 특성,권정노;이장호;김영숙;임재현;최태준;예미주;전지원;김슬민;

한국해양환경ㆍ에너지학회지, 2014. vol.17. 4, pp.324-332 crossref(new window)
The spatial and temporal distribution of pipe formation, offshore Namibia, Marine and Petroleum Geology, 2010, 27, 6, 1216  crossref(new windwow)
Long-Term Variations of Water Quality in Jinhae Bay, Journal of the Korean Society for Marine Environment & Energy, 2014, 17, 4, 324  crossref(new windwow)
Spatial Distribution of Diabetes Prevalence Rates and Its Relationship with the Regional Characteristics, Health Policy and Management, 2016, 26, 1, 30  crossref(new windwow)
국토연구원. 2004. 공간분석 기법. 한울아카데미. 543 p

김광구. 2003. 공간자기상관(spatial autocorrelation)의 탐색과 공간회귀분석(spatial regression)의 활용. 한국행정학회하계학술대회, 983-1001

김영, 하창현, 안정근. 2004. 공간적 자기상관분석을 이용한 지방 연담도시의 도시공간구조 비교분석 및 상호작용분석. 국토계획, 39(6), 7-22

이희연. 1999. 지리통계학. 법문사. 763 p

한국해양연구원. 2006. 남해 특별관리해역의 환경위해성평가 연구(I) 마산연안 중심연구. 592 p

홍경락, 이석우, 정재민, 장경환, 강범룡. 2004. 소면적 개발지의 소나무림에서 유전변이의 공간적 분포. 한국임학회지, 93(1), 35-42

Anselin, L. 1995. Local indicators of spatial association: LISA. Geogr. Anal., 27, 93-115

Cliff, A.D. and J.K. Ord. 1973. Spatial autocorrelation. London Pion

Cole, R.G. and C. Syms. 1999. Using spatial pattern analysis to distinguish causes of mortality: An example from kelp in North-eastern New Zealand. J. Ecol., 87(6), 963-972 crossref(new window)

Legendre, P. 1993. Spatial autocorrelation: trouble or new paradigm? Ecology, 74, 1659-1673 crossref(new window)

Mitchell, A. 2005. The ESRI Guide to GIS Analysis(Volume 2: Spatial Measurements & Statistics). ESRI Press. 238 p

Moran, P.A.P. 1948. The interpretation of statistical maps. J. Roy. Stat. Soc. Ser. B (methodological), 10, 243-251

Reid, K., M. Sims, R.W. White, and K.W. Gillon. 2004. Spatial distribution of predator/prey interactions in the Scotia Sea: Implications for measuring predator/fisheries overlap. Deep-Sea Res. II, 51, 1383-1396 crossref(new window)

Sokal, R.R. and N.L. Oden. 1978a. Spatial autocorrelation in biology. I. Methodology. Biolog. J. Linn. Soc., 10, 199-228 crossref(new window)

Sokal, R.R. and N.L. Oden. 1978b. Spatial autocorrelation in biology. II. Some biological applications of evolutionary and ecological interest. Biolog. J. Linn. Soc., 10, 229-249 crossref(new window)

Tobler, W.R. 1970. A computer movie simulating urban growth in the Detroit region. Econ. Geogr., 46, 234-240 crossref(new window)

Zhang, C. and O. Selinus. 1997. Spatial analysis for copper, lead, zinc contents in sediments of the Yangtze River basin. Sci. Tot. Environ, 204, 251-262 crossref(new window)