The study of Taiwan agricultural land''s zoning--the Tainan county case

• Main Authors: Liu, Hei-jane, 劉慧甄
• Other Authors: CHEN LI-SHIA Lee, Yung-San Hui - Yen Tsai Kao MC
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/26975942437415296496

碩士 === 國立中興大學 === 土壤學系 === 84 === Farm land is the one of the irreversible fundamental elements of agriculture. Excepting for breeding crops, it provides other services such as greener environment, conserving natural ecosystem, reserving energy resource and being an effective space for national development. Recently, because of fast economic developing and shortage of the urban space, country farm have become a new spotlight for city and industry extending. There is 36,000 km2 of total land area in Taiwan, in which 880,000 ha, about 24.3% is the farm land. According to one of CAO's publications, some 160,000 ha of farming land will be released to support civil development. This reseach aims at the discussion and comparison of different evaluating methods in classify the farm land. We also applied GIS as a tool to build an computer information system for data analysis. With such a system, we could provide information for decision making of the policy of land release. We took Tainan county as an example, using two different approaches. The first was the classification of agricultural land, by using natural factors of farm as the basic index and modifying these index by other relative auxiliary factors. The second approach was named LESA, which unified natural and economic factors to provide linear weighting access. The results of the classification of agricultural land showed that most of the good farm area would be preserved and classified into better ranks, so the classification method is a good method when one standed in the view point of preventing good farm area from being released. The conclusions of LESA indicated that different weights generated different results. Numerical analysis also showed that LESA might generate peculiar values at the edges when one assigned the extreme values of the weighting factors a and b . It meant that we should select weighting values carefully when using this approach. The results of the taxonomy of farm land was closely related with the methods of the approaches. They also affected the utilizing types of farms. The more the data and opinions were accepted, the better the outcome was more objective.