Establishment of a Predictive Model for Aquaculture Land Use Change-An Agent-based Approach / 養殖土地利用變遷預測模式之建立-個體施為取徑

碩士 / 國立臺灣大學 / 地理環境資源學研究所 / 95 / Land-use/land-cover change (LUCC), the consequence of the interactions between humans and the environment, signifies the living pattern of human activities and the decision-making process involved in such activities. At the local level, land-use decisions are usually restricted and made by land agents. In order to evaluate the effects of various land-use driving forces and to establish a predictive model for LUCC, this project used Ilan’s aquaculture as a case study and survey data. We employed chi-square test, t-test and logistic regression analysis to find driving forces, and discriminant analysis to establish a predictive model. The results of chi-square test, t-test and logistic regression analysis showed the differences in 9 variables that were possible driving forces for the abandonment of aquaculture. These variables could distinguish abandoned farmer and unabandoned farmer efficiently. The results of discriminant analysis showed that factors determining whether land agents abandoned their aquaculture land or not could be divided into two different groups based on willing to experiment with new farming technologies, capital for the farming costs, fish disease problem and distance to road. The model achieved a high accuracy rate, demonstrating that discriminant analysis is a useful tool for analyzing land use changes and the relationships between various LUCC driving forces.

Identiferoai:union.ndltd.org:TW/095NTU05136005
Date January 2007
CreatorsChi-Hsien Hsieh, 謝啟賢
ContributorsBor-Wen Tsai, 蔡博文
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format110

Page generated in 0.0016 seconds