Using the principal component analysis and clustering Forest resources are consistently necessary in the future. It takes much time to produce and breed them. However it is difficult to do due to recent social situation. Considering global environment, forest policy should be considered as a global scale rather than a regional one. At least, the policy needs a national scale concern. In order to support forestry, elementary data are needed. In this study, forest characteristics in Ishigawa-gen province have been analyzed through main component analysis and clustering. The results are shown in fig.5 and fig.6.

• 이성기(국립산림과학원 난대산림연구소) | Sung Gie Lee Corresponding Author
• 손석규(국립산림과학원 난대산림연구소) | Seog Gu Son
• 정진현(국립산림과학원 난대산림연구소) | Jin Heon Jeong
• 신병철(중부대학교 환경조경학과) | Byung Cheol Shin
• 정영교(국립산림과학원 난대산림연구소) | Young Gyo Chung