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最近在看一些有关社会学和遥感资源调查技术想结合的研究论文,主要是用遥感调查植被数量的空间分布,结合居住区的属性(包括人的属性和建筑属性,如收入、学历、建筑年代、房价等等)研究什么样的居住区偏好什么样的绿化状况。这些文章很多都用到了美国Claritas PRIZM数据库,介绍如下:developed by demographers and sociologists for market research (Weiss 1988, 2000; Holbrook 2001; Grove and others, 2006a, forthcoming). There are two primary goals of the PRIZM classification system. First is to categorize the 250 million people of the American population and their urban, suburban, and rural neighborhoods into lifestyle clusters using census
data about household education, income, occupation, race/ancestry, family composition, and housing. Second is to associate these clusters with characteristic household tastes and attitudes using additional data such as market research surveys, public opinion polls, and point-of-purchase receipts (Weiss 1988, 2000).
对此十分有感触,交叉科学研究是建立在各个学科建设很完备的基础上的,否则也是无从谈起,或者交叉的很肤浅。学科建设可以比作国家的基础设施建设,对于已经成熟的学科来说,需要做大、做全、做细数据为交叉学科做准备,如此才能稳步交叉稳步创新。因此,在学术评价上,对这些做数据的建设者(不是学术文章或者专利)予以重视。另外,恭喜《中国植物志》获2009年度国家自然科学奖一等奖(不过这是上个世纪60年代的成果)。
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