Nowadays the grass seeding methods having been spread out over most of roadside slopes, we should positively consider the problem of the restoration or the creation of the landscape by the vegetation, in the aspects of the road landscape planning.
The landscape analysis of the micro-environment also becomes an indispensable process for the road landscaping, because “...on one t oute, two-thirds of the impressions noted were caused by things in or adjacent to the road itself. The color and texture of the road surface, the shape and rhythm of the objects at the shoulder set the visual tone.” 1)
Accordingly as one of the fundamental materials for analyzing the shape or texture of roadside objects, the author tried a quantitative indication of roadside landscape, especially in regard to roadside vegetation forms.
Here the vegetation volume and its homogeneity of the distribution were dealt with as the factors for the visual form or texture. The individual plant volume is obtained visually as (v) = (h) × (c) (where (h) =specific height, and (c) =specific coverage). The coefficient of homogeneity of the specific (v) is calculated as follows;
CH
(V) =S×tα/√n/X
where (s) =standard deviation of sample, (tα) =value of (t) when the significance level is (α) and the degree of freedom is (n-1), (n) =number of sampling quadrats, and (x) =mean value of samples.
And then, by illustrating the relation between the mean total volume and the homogeneity, one of the quantitative aspects of vegetation forms can be expressed. They are shown in Fig. 1 to 8.
Fig. 1 being the models of vegetation forms, Fig. 1-(1) shows the simple form with one species and its CH=0 (perfectly homogeneous), and Fig. 1-(2) or (3) shows the compound form. The practical examples are illustrated in Fig. 3 to 8.
The sequential indication of roadside vegetation forms based on that method is shown in Fig. 9 or in Fig. 10. Moreover the author devised a method of the notation, expressing those sequential vegetation forms and also the closing and opening at roadside spatial characteristics, which is shown in Fig. 11-(1) or in Fig. 11-(2).
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