首先介绍了基于GIS的传统的土地适宜性分析模型(TLSAM),并指出它有两个主要缺点:一是同一级别内的不同类别没有显示出评分的差别;二是不同级别的分界处评分差别过分拉大.然后采用了可信度(Certainty Degre)概念对其进行了改进.研究表明,经过改进后的土地适宜性分析模型(ISAM)包含的信息更丰富、更准确,能为决策者和土地管理部门提供更多的选择机会.关键词:地理信息系统,绿地系统,土地适宜,信度Abstract:This paper introduces the traditional land suitability analysis model (TLSAM),which has two main disadvantages:one is that no diference is identified among the diferent subclasses within the same class; the other is that the diference between the two diferent classes is exaggerated around the division of scores. Then it wants to improve this traditional land suitability analysis model by using the idea of certainty degree(CD).Research showed that the improved land suitability analysis model (ILSAM) encompasses more enriched and precise information than the traditional one, thereby providing more options for the decision makers and land managers.Key words:geographic information system (GIS);green space system; land suitability analysis model; credibilit
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