Landscape process and pattern are closely related, hence recognition of landscape pattern is very important to recognize landscape process, and vice versa. Two new methods have been introduced: variable clumping metho...Landscape process and pattern are closely related, hence recognition of landscape pattern is very important to recognize landscape process, and vice versa. Two new methods have been introduced: variable clumping method (VCM) and variable core area method (VCAM) which may be used to analyze spatial structure of landscape. VCM is used to quantify patch distribution while VCAM is for quantifying patch shape. To evaluate these methods, two different landscapes in southwestern Japan were applied. Saijo is selected as agricultural landscape and Hiwa is selected for region of mountainous rural landscape. By applying the two methods, several landscape elements showed that spatial structures depend on spatial scales. It can be concluded that the two tested methods are effective in understanding the characteristics of landscape structure which are difficult to detect by traditional analytic methods.展开更多
文摘Landscape process and pattern are closely related, hence recognition of landscape pattern is very important to recognize landscape process, and vice versa. Two new methods have been introduced: variable clumping method (VCM) and variable core area method (VCAM) which may be used to analyze spatial structure of landscape. VCM is used to quantify patch distribution while VCAM is for quantifying patch shape. To evaluate these methods, two different landscapes in southwestern Japan were applied. Saijo is selected as agricultural landscape and Hiwa is selected for region of mountainous rural landscape. By applying the two methods, several landscape elements showed that spatial structures depend on spatial scales. It can be concluded that the two tested methods are effective in understanding the characteristics of landscape structure which are difficult to detect by traditional analytic methods.
