석면노출연구를 위한 공간분석기법
Spatial Analysis Methods for Asbestos Exposure Research
2
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
Objectives: Spatial analysis is useful for understanding complicated causal relationships. This paper focuses trends and appling methods for spatial analysis associated with environmental asbestos exposure. Methods: Literature review and reflection of experience of authors were conducted to know academic background of spatial analysis, appling methods on epidemiology and asbestos exposure. Results: Spatial analysis based on spatial autocorrelation provides a variety of methods through which to conduct mapping, cluster analysis, diffusion, interpolation, and identification. Cause of disease occurrence can be investigated through spatial analysis. Appropriate methods can be applied according to contagiousness and continuity. Spatial analysis for asbestos exposure source is needed to study asbestos related diseases. Although a great amount of research has used spatial analysis to study exposure assessment and distribution of disease occurrence, these studies tend to focus on the construction of a thematic map without different forms of analysis. Recently, spatial analysis has been advanced by merging with web tools, mobile computing, statistical packages, social network analysis, and big data. Conclusions: Because the trend in spatial analysis has evolved from simple marking into a variety of forms of analyses, environmental researchers including asbestos exposure study are required to be aware of recent trends.
Abstract
Objectives: Spatial analysis is useful for understanding complicated causal relationships. This paper focuses trends and appling methods for spatial analysis associated with environmental asbestos exposure. Methods: Literature review and reflection of experience of authors were conducted to know academic background of spatial analysis, appling methods on epidemiology and asbestos exposure. Results: Spatial analysis based on spatial autocorrelation provides a variety of methods through which to conduct mapping, cluster analysis, diffusion, interpolation, and identification. Cause of disease occurrence can be investigated through spatial analysis. Appropriate methods can be applied according to contagiousness and continuity. Spatial analysis for asbestos exposure source is needed to study asbestos related diseases. Although a great amount of research has used spatial analysis to study exposure assessment and distribution of disease occurrence, these studies tend to focus on the construction of a thematic map without different forms of analysis. Recently, spatial analysis has been advanced by merging with web tools, mobile computing, statistical packages, social network analysis, and big data. Conclusions: Because the trend in spatial analysis has evolved from simple marking into a variety of forms of analyses, environmental researchers including asbestos exposure study are required to be aware of recent trends.
참고문헌 (27)
- "National GIS portal"[URL]
- Tobler WA., "Computer movie simulating urban growth in the Detroit region", Econ Geogr, 46(2), pp.234~240 (1970)
- Kim KG, "Exploration of spatial autocorrelation and utilization of spatial regression", J Korea Public Adm, 6, pp.983~1001 (2003)
- 강동묵, "환경성 석면노출의 건강영향", 한국환경보건학회지, 35(2), pp.71~77 (2009), 한국환경보건학회
- Anselin L, "Spatial Analyses of Crime", Measurement And Analysis Of Crime And Justice, 4, pp.213~262 (2000)
- Yoo EH., "The study of spatal statistical analysis in GIS environment", pp.1999
- Gesler W, "The uses of spatial analysis in medical geography", Soc Sci Med, 23, pp.963~973 (1986)
- Hong HP, "Discovery of hotspot areas using a spatial clustering method and echelon analysis", J Korean Official Stat, 8(2), pp.131~153 (2003)
- Morrill R, "Spatial diffusion", pp.86~ (1988), Sage Publications
- Kim JY., "A study on Geographical Interpolation Analysis of Korean Asbestos Factories", J Policy Sci, 6 (2011)
- Jeong SY., "A spatial statistics application for the study of traffic", J Natl Land Res, 285, pp.151~154 (2005)
- Bailey TC, "A review of statistical spatial analysis in geographical information systems, Spatial Analysis and GIS, In Stewart Fotheringham and Peter Rogerson", pp.18~ (1994), Taylor & Francis
- Anselin L, "An Introduction to Spatial Data Analysis", Geogr Anal, 38(1), pp.5~22 (2006)
- Anselin L, "Spatial statistical analysis and geographical information systems", Ann Region Sci, 26, pp.19~33 (1992)
- Pfeiffer DU, "Spatial Analysis in Epidemiology", pp.3~ (2008), Oxford University Press
- Robinson, TP, "FAO’'s Gridded Livestock of the World", pp.43~, Veterinaria Italiana
- Moore DA, "Analytical Methods and Geographic Information Systems: Use in Health Research and Epidemiology", Epidemiol Rev, 21(2), pp.146~147 (1999)
- "Comparison of geographic information systems software"[URL]
- 최진범, "GIS 기법을 이용한 폐석면 광산의 위해성 평가", 한국광물학회지, 24(1), pp.43~53 (2011), 한국광물학회
- 김영찬, "GIS를 이용한 석면슬레이트 분포지도 작성", KIEAE Journal, 11(3), pp.57~62 (2011), 한국생태환경건축학회
- Lee JM, "A Study on the Construction of Asbestos Map Using GIS", Proceedings Korean Soc GeoSpatial Inform Syst, pp.131~134 (2010)
- 한대권, "공간역학과 환경보건: 공간위치정보 활용에 대한 고찰", 한국환경보건학회지, 37(1), pp.1~11 (2011), 한국환경보건학회
- Pan XL, "Residential Proximity to Naturally Occurring Asbestos and Mesothelioma Risk in California", Am J Resp Crit Care Med, 172, pp.1019~1025 (2005)
- Maule MM, "Modeling Mesothelioma Risk Associated with Environmental Asbestos Exposure", Environ Health Perspect, 115(7), pp.1066~1071 (2007)
- Fazzo L, "Pleural Mesothelioma Mortality and Asbestos Exposure Mapping in Italy", Am J Ind Med, 55, pp.11~24 (2012)
- Petja BM, "Spatial epidemiology risk assessment for rehabilitated former asbestos mining areas in Limpopo Province, South Africa, using remote sensing and conventional analytical methods", South Afr J Epidemiol Infect, 25(3), pp.32~39 (2010)
- Newton R, "Displaying R spatial statistics on Google dynamic maps with web applications created by Rwui", Int J of Health Geogr, 24 (2012)
