This study has two purposes. One of them is to establish grasping methods color feature of streetscapes. The other is to clarify showing the indicator of "unity" of streetscape color. I have developed a method to shoot streets with a video camera and to correct and convert the data to CIEL*a*b*. In order to create a good landscape it is necessary to "unify" the color of the streetscape and avoid monotony. I clarified that the first principal component contribution ratio obtained by principal component analysis of the streetscape image data is an indicator of unity of the streetscape color. I also found that monotonousness increases as the standard deviation is small.
:The purpose of this study is to clarify trends and problems of color restriction standards of landscape districts. Each district has its own expressions of standards. Replacing every expressions with uniform expressions made it possible that those standards are compared. It was clarified that those standards have two tendencies in most cases: (1) in hues from "2.5R" to "7.5Y", there is a tendency that colors with high chroma are permitted to be used for the outside walls; (2) in hues from "2.5GY" to "7.5RP", colors with high chroma are not permitted. In other words, each one of the districts has a tendency to have similar standard. It was also clarified that those standards have some problems, for example, they don't indicate color features of the districts, and they are not carried out elastically.
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