<p>This thesis was aimed at the development of a Geographical Information System (GIS) based model to support the Rwanda Land Use and Development Master Plan. Developing sustainable land management is the main task of this master plan. Stakeholder’s involvement was of key importance. Their demands should be analysed and visualised to support discussions and the decision-making process. Spatial Multicriteria Decision Analysis (MCDA) is a proven method for land-use planning purposes. However, most land-use planning applications focus on a specific theme, such as urban development. In addition, land-use planning is often limited to a relatively small area. This thesis focused at the development of a countrywide GIS model, containing all land-uses accommodated in three main land-use categories: urban, agriculture and conservation. The GIS model was largely based on the Land-Use Conflict Identification Strategy (LUCIS) model. Many of the goals, objectives, and subobjectives that described the earlier mentioned land-use categories were adopted from the original model. However, a significant number of them were dropped, and new were created to suit the Rwandan situation. Stakeholder’s involvement was realized by assigning weights to the goals and preference maps. The Analytical Hierarchy Process (AHP) was used as weighting method. ESRI’s ArcGIS ModelBuilder was used to give the model shape in the GIS. Firstly, suitability maps were created of all elements in the model. The suitability maps were then transformed into preference maps by weighting them. In the next step the preference maps were collapsed in three classes: low, medium and high preference. Finally, the preference maps of the three land-use categories were combined, in order to visualize conflict areas. Ortho photos proved to be useful when acting as reference for the suitability and preference maps. Despite a large number of missing datasets, the GIS model was executed to simplify the understanding. However, many of the obtained results were unreliable because of the incompleteness of datasets, and can therefore not be used for decision-making.  Unfortunately, due to the stage of the project it was not possible to obtain weights from the stakeholders, and should therefore be done when the time is right. Right Choice DSS, a very user-friendly decision support application, was proposed to use for calculating weights. To conclude, the developed GIS model integrated countrywide land-use suitability mapping and stakeholders’ wishes that can be used for discussions and decision making.</p>

This thesis was aimed at the development of a Geographical Information System (GIS) based model to support the Rwanda Land Use and Development Master Plan. Developing sustainable land management is the main task of this master plan. Stakeholder’s involvement was of key importance. Their demands should be analysed and visualised to support discussions and the decision-making process. Spatial Multicriteria Decision Analysis (MCDA) is a proven method for land-use planning purposes. However, most land-use planning applications focus on a specific theme, such as urban development. In addition, land-use planning is often limited to a relatively small area. This thesis focused at the development of a countrywide GIS model, containing all land-uses accommodated in three main land-use categories: urban, agriculture and conservation. The GIS model was largely based on the Land-Use Conflict Identification Strategy (LUCIS) model. Many of the goals, objectives, and subobjectives that described the earlier mentioned land-use categories were adopted from the original model. However, a significant number of them were dropped, and new were created to suit the Rwandan situation. Stakeholder’s involvement was realized by assigning weights to the goals and preference maps. The Analytical Hierarchy Process (AHP) was used as weighting method. ESRI’s ArcGIS ModelBuilder was used to give the model shape in the GIS. Firstly, suitability maps were created of all elements in the model. The suitability maps were then transformed into preference maps by weighting them. In the next step the preference maps were collapsed in three classes: low, medium and high preference. Finally, the preference maps of the three land-use categories were combined, in order to visualize conflict areas. Ortho photos proved to be useful when acting as reference for the suitability and preference maps. Despite a large number of missing datasets, the GIS model was executed to simplify the understanding. However, many of the obtained results were unreliable because of the incompleteness of datasets, and can therefore not be used for decision-making.  Unfortunately, due to the stage of the project it was not possible to obtain weights from the stakeholders, and should therefore be done when the time is right. Right Choice DSS, a very user-friendly decision support application, was proposed to use for calculating weights. To conclude, the developed GIS model integrated countrywide land-use suitability mapping and stakeholders’ wishes that can be used for discussions and decision making.

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原住民農耕知識乃長期適應自然環境，並與自然達成平衡關係之農耕方式，因此藉由探討原住民農耕知識，得提供高山農業政策上的建議。惟偏向質性的原住民知識，需萃取、轉化為科學形式，方能利用。是以，本研究以地理資訊系統為基礎、利用土地適宜性分析與羅吉斯迴歸為方法，設計一套適用於數位化原住民農耕知識的策略。此策略為一個迭代的循環，包含蒐集、轉換、分析與檢視的程序。首先，以量化方式蒐集原住民農耕知識，次將知識轉換成空間資料的形式，再透過分析將知識轉化成有意義的資訊，並以視覺化方式展示分析成果，而分析成果可用以檢視知識蒐集的完整性、檢驗知識轉換後的正確性，進而以為基礎，針對興趣點再度蒐集知識，如此反覆操作上述程序。以土地適宜性分析為核心之策略，可用以探究原住民農耕區位選取知識；以羅吉斯迴歸為主軸之策略，則以個別農耕地為基礎，驗證農耕行為與邊坡穩定性之關聯。本研究以尖石泰雅族部落為研究區域。研究發現此數位化原住民農耕知識策略是可行的，得以有效地達到原住民農耕知識蒐集、分析及展示的目標。數位化後的原住民農耕知識具體而明確，可作為相關政策之參考。 / Indigenous knowledge of farming is empirical rules based on a long-term interaction between human and organism which benefit to each other. As a result, by discussing indigenous knowledge of farming, it could provide positive suggestions for the cultivation on slope land. However, indigenous knowledge tends to be qualitative rather than quantitative. Thus, we need to translate it into a scientific formats so as to take use of it. Consequently, the paper which is based on GIS, utilizes land use suitability analysis and logistic regression aims to establish a strategy for digitizing indigenous knowledge of farming. Actually, the strategy is an iterative circle with the procedure of extraction, translation, analysis and review. Firstly, investigate indigenous knowledge of farming in quantitative way. Secondly, translate it into layers. Then, turn the fragmentary data into meaningful information, and illustrate it on the map. Finally, review the result whether it is comprehensive and reliable. We used land use suitability analysis as the strategy to explore indigenous knowledge of farming site selection. Similarly, we use logistic regression as the strategy to demonstrate the correlation between the practice of farming and slope stability. The Atayal communities in Jianshih village was used for testing of the above strategy. In conclusion, the strategy for digitizing indigenous knowledge of farming is feasible for investigating, analyzing and visualizing the indigenous knowledge of farming. Therefore, the result is quite clear and specific as an important supplement to policy.