摘要
回归及重回归分析和预测,被广泛地应用于各个行业中。但是,有些相当于回归分析中的说明变数,不是数量数据,而是非数量数据,例如:影响入园人数的因素有星期(平日、休日)、天气状况(晴天、阴天、雨雪天等)、季节(春、夏、秋、冬)等。这些因素因为不是“量”的数据,所以不能用回归或重回归等方法进行分析和预测,但这种情况在规划设计的调查中经常出现,所以数量化Ⅰ类,可以帮助人们进行与回归分析和预测相同的分析,这是十分有效的一种分析方法。
The Regression and again-regression analysis&forecast are widely used in different trades.However,some demonstrative variables are non-quantitative data rather than quantitative data.For example,factors affecting the numbers of people coming to parks include the days of the week(weekdays or weekend),weather(sunny,cloudy,or rainy and snowy)and season(spring,summer,autumn or winter).These factors are not quantitative data,and cannot be analyzed by such methods as regression and again-regression.It was seen in planning and design frequently,so the Quantification Theory Type I is introduced in as an efficient way to help the analysis and forecast.
出处
《中国园林》
2003年第9期47-50,共4页
Chinese Landscape Architecture
关键词
风景园林
规划设计学
调查
数量化I类
Landscape Architecture
Quantification Theory Type I
Outside Benchmark
Variable
