Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/27447
標題: The study of Taiwan agricultural land''s zoning--the Tainan county case
台灣農地區位分級研究--以台南縣為例
作者: 劉慧甄
Liu, Hei-jane
關鍵字: agricultural;農地;zoning;區位分級
出版社: 土壤學系
摘要: 
農地是農業生產的基本要素,為不可再生之資源,除了生產作物以外
更有綠化環境、保育自然生態及儲備能源與國家建設發展用地之機能。但
由於近年來社會經濟的快速成 長,使得都市土地已不敷使用,而農地則
成為未來都市擴大發展的新焦點。台灣地區土地面積約三萬六千平方公里
,目前做為農業經營之土地約八十八萬公頃,佔總面積的24.3 %。根據
行政院農委會所發行之農業政策白皮書中所示,為配合國家建設需要,未
來至民國八十九年將釋放出十六萬公頃左右的農地,以平衡非農業部門對
土地的需求。本研究的主要工作在以不同的評估方法將台灣的農地進行等
級劃分,討論及比較數值分析後的結果,並以地理資訊系統軟體建立展示
工具,冀未來能提供作農地政策制定上的參考。 本研究以台南
縣農地為研究範圍,使用兩種不同模式進行評估工作,一是「農地重要性
等級劃分」,其以農地自然條件為基本等級,輔以選取其他相關因子的影
響對基本等級作調升及調降的修正。二是「土地評價與區位評估系統
(LESA)」,為整合農地自然與社會經濟條件等各項因子,並以線性加權的
方式進行分析的評估模式。「農地重要性等級劃分」所評估的結果,原本
屬性優良的農地大部分仍會保持原來的特性,不會產生無法預期的極端值
,對農地保護的立場而言是較適當的。而「土地評價與區位評估系統(
LESA)」結果發現,不同的權數會產生不同的評估結果,且經數值分析後
發現,若使用極端的權數則會造成頭尾等級的面積產生奇異值,因此在權
數的使用上不得不慎重。農地區位劃分結果與評估模式的選擇息息相關,
且直接影響到未來農地的利用形態,因此在進行區位劃分的決定時若能參
考整合多方意見及資料,會有更客觀的結果。

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.
URI: http://hdl.handle.net/11455/27447
Appears in Collections:土壤環境科學系

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