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Identification of Heterogeneity of Social and Economic Environment of Land Uses in China 被引量:12
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作者 邓祥征 黄维 +1 位作者 杜继福 韩健智 《Agricultural Science & Technology》 CAS 2010年第1期167-170,共4页
The robust principal component analysis (RPCA) is a technique of multivariate statistics to assess the social and economic environment quality. This paper aims to explore a RPCA algorithm to analyze the spatial hete... The robust principal component analysis (RPCA) is a technique of multivariate statistics to assess the social and economic environment quality. This paper aims to explore a RPCA algorithm to analyze the spatial heterogeneity of social and economic environment of land uses (SEELU). RPCA supplies one of the most efficient methods to derive the most important components or factors affecting the regional difference of the social and economic environment. According to the spatial distributions of the levels of SEELU,the total land resources of China were divided into eight zones numbered by Ⅰ to Ⅷ which spatially referred to the eight levels of SEELU. 展开更多
关键词 Principal component analysis Robust principal component analysis Land uses social and economic environment social and economic environment of land uses
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BASF Issues First Report on Economic,Environmental,and Social Performance
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《China Textile》 2009年第9期20-21,共2页
Seven key indicators standardize and integrate transparency BASF, the world’s leading chemical company, will enhance its transparency in Greater China by reporting annually on seven key financial, social and environm... Seven key indicators standardize and integrate transparency BASF, the world’s leading chemical company, will enhance its transparency in Greater China by reporting annually on seven key financial, social and environmental indicators: sales, number of employees, 展开更多
关键词 BASF Issues First Report on economic environmental and social Performance
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