國內許多社區擁有豐富的自然及人文資源，為了有效促進經濟發展與促使遊客了解社區環境資源，部分組織體系較完整的社區，已陸續展開社區發展規劃工作，鼓勵社區民眾共同參與社區林業經營與環境資源管理等工作。對於社區資源管理方面，如何將社區內各項資源進行有效地規劃與適當地呈現，以及與其他不同社區之間的資源資料整合，皆為當前主要面臨的課題之一。為考量社區的經濟條件限制，本研究利用低成本的開放源碼(Open Source)軟體如Django和QGIS (Quantum GIS)，及網路上提供的免費軟體Google Earth，搭配空間資訊科技輔助資料蒐集，建構出社區資源之地理空間資料庫，並建立一套完整的網際網路地理資訊系統WebGIS (Web-based GIS)平台，提供使用者可經由操作網頁方式進行資料分享、管理及分析等服務。並結合MapServer、Google Maps API (Application Programming Interface)、Openlayers API與JavaScript設計動態網頁，讓社區和一般使用者可以透過地圖互動方式與相關地理資料的多樣化呈現以了解社區之各項資源，且促使社區管理者更有效進行資源規劃及提高生態旅遊之效益；同時融入公眾參與地理資訊系統(Public Participation Geographic Information Systems, PPGIS)的理念，鼓勵共同參與資源管理，於網站上加入討論與分享機制，進而擴大居民參與社區資源規劃討論的空間。研究成果顯示，利用GPS軌跡記錄器可於低成本的條件下，幫助環境資源等資料的收集；本研究舉辦數次的教育訓練以及觀察社區居民的學習情形，證實利用WebGIS平台的簡易操作，能促使社區中不同的使用者願意分享各自擁有的資料，發揮自發性地理資訊(Volunteered geographic information, VGI)的精神。且藉由公眾參與的方式，將能獲得更多不同來源的圖資或社區資源相關資料，以強化系統的資料庫內容。此外，透過各種豐富圖資瀏覽與空間分析工具，更有利於社區資源管理與決策分析之應用。 / Many local communities have a wealth of natural and humanistic resources. In order to effectively promote economic development and let more tourists know the environmental resources of the community, some more well-organized communities have launched community development planning to encourage local people to participate in community forestry and environmental resources management work. For community resources management, the most important issue is how to manage and present various community resources effectively, and to integrate resource data collected by different communities. Considering the economic constraint of community, this study used low-cost open source software such as Django and QGIS (Quantum GIS), and free software such as Google Earth, and spatial information technologies to collect data and establish geospatial database of community resources. Moreover, a WebGIS (Web-based GIS) platform was built to provide users with various services including data sharing, management, and analysis. By combining MapServer, Google Maps API (Application Programming Interface), Openlayers API, and JavaScript dynamic web pages, the system let users understand the resources of the community through a diverse display of interactive electronic maps and related geographic information. It also enables the community manager to carry out resource planning more effectively, and promotes benefits of ecotourism. In addition, the system incorporates the concept of PPGIS (Public Participation Geographic Information Systems) by adding functionalities of discussion and information sharing so as to encourage public involvement in resource management, and facilitate residents to participate in the discussion of resource planning. The results show that, GPS tracking devices can assist in collecting community resources data with low cost and high efficiency. By observing the activities of community residents after several training workshops, this research proves that WebGIS platform can facilitate different users of the community to voluntarily share their own data, which conforms to the spirit of VGI (Volunteered geographic information). With public participation, the geodatabase can effectively incorporate more data about the community resources from different sources. Furthermore, the geodatabase and spatial analysis tools will be helpful for decision-making on community resources management.

本研究主要探討台北都會區都市蔓延與氣候暖化之關係，實證分析是否都市蔓延的發展形態會造成氣溫的上升。有研究指出台灣的歷年氣溫上升是因為近年來工商業急速發展，人口增加，建築物型態改變，交通運輸量激增等所致。國內外許多研究也發現都市化與氣溫是呈現正相關，而綠地與氣溫呈現負相關。 本研究實證分析部分使用地理資訊系統之內差法和空間分析方法，以及迴歸分析使用panel data之固定效果模型等工具，內插法之結果得到台北都會區年平均氣溫自1996年至2006年約上升1℃，有些地區甚至上升約2℃，且上升之溫度範圍有擴大的趨勢，呈現放射狀的溫度分布，此與都市蔓延之放射狀發展形態類似。使用空間分析方法則證實了一地人口數的增加會造成該地氣溫上升，並且也發現近來人口數多增加在都市外圍地區，這與上述氣溫分布和都市蔓延之放射狀發展形態也相符合。 迴歸分析結果顯示人口數對於氣溫有相當大之正相關，耕地面積對氣溫則呈現負相關，可見得擁有廣大綠地可以降低區域之氣溫，減緩氣候暖化，因此建議政府需檢討當前農地政策，配合環境保護，適合時宜的提出正確之政策。另外在各鄉鎮市區固定效果估計量方面，可以歸納出若一地區有廣大的公園、綠地、或是有河川流域的經過，對於降低當地氣溫有明顯的幫助；時間趨勢之固定效果估計量顯示台北都會區隨著時間的經過，氣溫將持續上升。因此在未來都市規劃方面，規劃者必須了解各地區特性，善加利用其自然環境以調和氣候暖化之影響、多設置公園綠地、多種植綠色植物、在道路周邊行道樹的設置、建築物間風場之設計等。如此將可以降低都市蔓延對氣候暖化的影響，以及防止氣候暖化的發生。 / In this study, we research the relationship between urban sprawl and climate warming in Taipei metropolitan area. Analyze empirically whether the developed shape of urban sprawl causes the climbing of the temperature. Some studies indicate that the reasons why the climate is getting warmer in Taiwan are the high-speed developments of industry and commerce, the increase of population, the changes of the buildings and the huge increase of the traffic volume. Some other studies also find out that there is a positive correlation between the urbanization and the temperature, and there is a negative correlation between the green space and the temperature. The empirical analysis in this study is based on the Interpolation Method and Spatial Analysis of GIS. And the regression analysis is based on the Fixed Effect Model of Panel Data. The yearly average temperature increased about 1℃ to 2℃ in the Taipei metropolitan area from 1996 to 2006. Furthermore, the range of the increasing temperature has been trending up, and it reveals a radial distribution. It is similar to the radial developed shape of urban sprawl. By using Spatial Analysis, we prove that the temperature of an area increases when the population rises. And we find out that the population rises in most of the peri-urban areas. It also answers to the radial developed shape of urban sprawl and the distribution of the temperature as above. The result of using the regression analysis shows that there is a positive correlation between the number of the population and the temperature and is a negative correlation between the farmland areas and the temperature. So that if there is a big green space, it can decrease the temperature in an area, reduce climate warming. For this reason, I suggest that the government should review our current farmland policy, which should be worked with the environmental protection policy, and bring it into practice at the right time right place. From the fixed effect estimation, we concludes that it helps decrease the temperature in an area obviously when there is a big park, big green space or where a river passing through. The time trend of the fixed effect estimation indicates that the climate in the Taipei metropolitan area will be getting warming with time goes by. Therefore, the urban planner should know better of the feature in each area, using the natural environment to accommodate the influence of climate warming. To have more parks, green spaces and plants, plant more trees by the roads, design the wind flow between buildings. Cut down the carbon production by using either way. Thus and so, we can reduce the influence of urban sprawl to climate warming, and also prevent climate warming.

近幾年來，有關地理資訊的網頁搜尋越來越受到重視。傳統的網頁搜尋引擎無法反應使用者查詢和網頁文件之間的地理關聯性。在一些情況下，我們希望網路搜尋引擎能夠考慮使用者查詢與網頁文件間的地理相關性，以提升搜尋的準確度。 我們的研究透過包圍矩形模型(Bounding Rectangle Model；BR Model)以搜尋與使用者查詢之地理相關程度較高的網頁文件。 使用者僅需輪入文字的查詢，即能得到相符結果的網頁文件。首先，我們建立一個地名辭典以找出使用者查詢與網頁文件內出現的地名及空間資料，接著我們利用空間資料建立空間索引項(spatial index term)集合，用來表示使用者查詢與網頁文件內的地理範圍，最後再透過使用者查詢與網頁文件的空間索引項集合計算兩者之間的地理相似程度，以找出與使用者查詢有較高地理關聯性的網頁文件。 此篇論文的貢獻在於我們提一套完整資訊檢索模型架構的方法，分析使用者查詢與網頁文件之間的地理關聯性，使用者藉由輸入文字查詢即能得到相符地理關聯性的網頁文件。 / Geographic web search becomes increasingly popular in recent years. Traditional web search engine, such as Google and Yahoo, can not accommodate geographic relevance between user queries and internet documents. Hence, they can not retrieve geographic related information from user queries. However, in many cases, the geographic relevance between user queries and internet documents could enhance the accuracy of this type of searches. In this thesis, we propose a mechanism that uses the Bounding Rectangle Model (BR Model) to retrieve geographic relevant internet documents in response to user queries. Users provide only the conventional input queries (keywords) and our search engine will return the geographic relevant results. Our method can be classified into the following three steps. In the first step, we create a gazetteer and use it to relate the user query’s geographic terms in internet documents. In the next step, we use the spatial data to build a set of spatial index terms that represents the geographic scope of user query and internet documents. And then we use these spatial index terms to calculate degree of geographic similarity between user query and internet documents to identify highly relevant geographic internet documents. We implemented a prototype search engine using our approach. The experiment results show that we can successfully retrieve geographic relevant data through this mechanism and provide more accurate search results.

長久以來，台灣原住民族的土地及領域權利始終受到忽視和剝削，原住民族的傳統領域與其知識逐漸式微。為了重新爭取原住民族的土地權利及保存珍貴的傳統生態智慧，恢復傳統領域和傳統領域知識即為首要任務。 近一、二十年來，隨著國際上主張生物多樣性和多元文化的思維潮流，我國也開始提倡對原住民文化及其自然關係的尊重，從早期的部落地圖運動到傳統領域土地調查計畫，透過調查與部落地圖的繪製可將隱藏在生活中的歌唱、舞蹈、傳說故事…等傳統領域知識記錄、保存下來；而這些田野調查工作有許多不同的方式，如參與觀察、個案研究、深度訪談、工作坊…等，並常搭配不同的參與式製圖為其工具，如：心智圖、參與式立體模型（Participatory 3D Modelling, P3DM）、地理資訊系統（Geographic Information System, GIS）…等。 本研究參與觀察並分析比較各項參與式製圖法，將觀察到的成果結合文獻整理之設計準則，納入至原住民族傳統領域WebGIS地圖平台與其他網頁之設計規劃。建置一以原住民族傳統領域為主題，蒐集劃設傳統領域知識和範圍並傳遞資訊的參與式平台，達到參與式製圖之目的。並至平台啟用後使用網頁分析工具和使用者深度訪談，追蹤分析其後續之公眾參與成效，藉此改善平台功效並提出方案以促進公眾參與及使用率。

近年來，社會經濟進步，對「不動產估價」之需求日益殷切，例如投資房地產、利用房地產來進行借貸行為等各項需要，在在皆得依靠不動產估價的技術，因此提升了社會上對不動產估價的重視。而在今日科技如此蓬勃發展的資訊時代，若能將不動產估價的技術與電腦的數位技術相互結合，藉由電腦的強大計算能力與快速的回應能力，相信必能提升不動產估價的技術及準確度。 　所以本研究致力於將不動產估價與電腦科技相結合，期望能提升不動產估價的準確度，除了利用其強大的計算能力之外，本研究更進一步地將不動產估價動作與地理資訊系統ＧＩＳ（Geographic Information System）相結合，利用ＧＩＳ強大的地理資料處理能力，希望能將不動產估價的技術提昇至更高的境界。 　本研究的研究過程為先對不動產估價之理論與方法進行研究，並尋找出不動產估價時的程序及其所需要考量的事項，在整理融會之後，再進一步地結合ＧＩＳ，以建構出一個以ＧＩＳ為基礎的不動產估價系統。且每當一估價個案完成，系統便自動將此筆估價個案之資料與結果回饋（輸入）給系統，成為一筆新增之買賣實例，如此一來，買賣實例資料庫將會愈來愈大，愈來愈完整，也將會使得系統的估價能力愈準確、可信度愈高。 因為在台灣不動產估價已經逐漸受到社會各界，例如銀行、租賃公司和房屋仲介公司等的重視，所以本研究企圖整理出各種常用估價模式及其所需的資料，並結合地理資訊系統（Geographic Information System，GIS）的技術，建構出一個以ＧＩＳ為基礎的泛用型不動產估價資訊系統之原型，期能藉此提高不動產估價行為的效率與精確度，並希望對ＧＩＳ的應用領域提供一個新的窗口，進而擴大ＧＩＳ的長遠發展。 / Recently, the need for appraisal of real estate is more and more important for people. When we invest the money in the real estate or use real estate to borrow money, we must depend on the technique for appraisal of real estate. Now, we are in the information world. If we can take advantage of the ability of the computer to appraise the real estate, it must be able to promote the technique and accuracy of appraisal in real estate. 　So in this thesis, it was applied to combine the appraisal in real estate and the ability of the computer and it hoped that it could increase the accuracy of appraisal. Besides the computing ability, this thesis wanted to combine the technique GIS (Geographic Information System) and the appraisal in the real estate. It wanted to take advantage of the processing ability in geographic data in GIS to higher the technique in appraising real restate. 　In this thesis, we attempt to arrange some general appraisal models and data the models need and to use the technique of GIS to design a prototype appraisal system. We hope that the system will be able to higher the efficiency and accuracy of appraisal in real estate. And we hope we will create a new way to take advantage of the ability of GIS.

本研究以不同時期之航遙測影像偵測宜蘭海岸濱線變遷，影像來源包含1947年之舊航照影像、1971年的美國Corona衛星影像、1985年的像片基本圖、2003年的SPOT-5衛星影像及2009年以Z/I DMC(Digital Mapping Camera)航空數位相機所拍攝之高解像力航照影像。 由於影像獲取的時間與感測器皆有所差異，故本研究透過不同的方式處理資料，將影像地理對位，並利用地理資訊系統(Geographic Information Systems, GIS)軟體數化濱線及沙灘(丘)，且以套疊分析觀察不同時期濱線與沙灘變遷之情形，最後收集宜蘭地區的自然或人文資料如潮汐、降雨量與輸沙量等，分析宜蘭海岸變遷的原因。而在濱線萃取方面，由於以人工數化方式太耗時間與人力，故嘗試以半自動化方式如影像分類或影像分割萃取濱線，並與人工數化結果比較。研究結果顯示，利用多時期之遙測影像，並結合GIS之空間分析功能，確可有效掌握濱線與沙灘(丘)的歷史變化概況。 / This study used multi-temporal remote sensing images to detect shoreline changes along the Yilan coast. Various types of remote sensing images were used in this study, including old aerial images taken in 1947, Corona satellite images acquired in 1971, photo base map produced in 1985, SPOT-5 satellite images obtained in 2003, and high-resolution aerial images taken in 2009 by using Z/I DMC (Digital Mapping Camera). Because these images were taken in different time using different sensors, different procedures were applied to process the data and georeference the images to a common coordinate system. GIS (Geographic information Systems) software was used to digitize shoreline and the beach area, and overlay analysis was applied to find the shoreline changes in different time periods. Then various ancillary data such as tides, precipitation, and sediment load was collected to analyze the causes of coastal changes in Yilan. For shoreline extraction, manual digitization required a lot of time and manpower. Therefore, semi-automatic method such as image classification and image segmentation was applied to extract shoreline. The results show that, by using multi-temporal remote sensing images and spatial analysis functionalities of GIS, the historical changes of shoreline and beach area can be detected effectively.

路燈巡修作業的落實與否，影響路燈維護的效率及品質，為能有效提升路燈管理之效能，近來管理階層逐漸重視路燈巡修區域的規劃。然而巡修區域的劃分，多依據主管人員之經驗調派，缺乏系統化、科學化的分析與評估，往往使人力資源無法有效運用，形成勞逸不均的現象，進而影響維護品質，因此如何以科學的方法劃分路燈巡修區域是個重要的課題。 本研究的重點在於針對現行路燈巡修區域劃分之缺點，提出一個新的方法，使各區域管理員巡修時間差達到最小化，以解決現行區域劃分的不合理現象。我們所提出的劃分法，以基因演算法進行演算，並加入禁忌名單改善基因演算法區域搜尋效率不佳的缺點，提升整體的求解速度，同時將路燈維護數量、故障率、維護時間、交通時間、巡修次數等影響因子，納入巡修時間的計算公式中，使劃分後各區的巡修時間差達到最小化。 本研究以台北市政府公園路燈工程管理處的路燈東區分隊為實作對象，在考慮不同的基因演化條件下，分別比較巡修區域劃分前後之變化情況，由實驗結果顯示，我們提出的劃分方法，確實使各區管理員的巡修時間差不超過3%，並且滿足巡修不跨區作業之需求。 / The efficiency and quality of street lights maintenance is influenced by the operation of patrolling and maintaining. In order to raise the working efficiency of maintenance crew, the supervisors pay more attention to region redistricting recently. The formor region districting methods normally base on human experiences without systematic or scientific evaluations, These facts, not only result in human resources wasting and uneven labor allocations, but also affecting the maintenance qualities. Therefore, it is a crucial issue to make region redistricting more scientifically. The key point of this research is to provide a systematic redistricting mechanism to minimize the patrolling time variation for all the districts. Our mechanism is based on genetic algorithm to reduce the patrolling time differences. Tabu search list is used to improve the searching efficiency of general genetic algorithms. Various factors were integrated in our mechanism to minimize the patrolling time variations. These factors include total number of street lights, average failure rate, average maintenance time, traffic delay, patrolling and maintaining frequency, etc. We used districts covered by the East Branch of SET/PSO of Taiepi City Government as the examples in our studies. The experimental results show that, using our mechanism, the patrolling time difference is reduced to 3% and maintenance crews can perform their duty without crossing region boundary.

高速公路系統建設可提升區域與區域之間的可及性與易行性，同時達到節省旅行時間和成本、高速公路交流道沿線地區土地價值上升等效果。此外，高速公路系統建設對於周圍地區人口、產業可產生相當程度之影響，例如大量的人口遷移、區域交通影響衝擊、社會和經濟層面產生重大變化等，進而改變國家及區域發展方向。於此情況下，合宜地評估及分析高速公路系統建設開發對國家及區域發展之影響，將有助於其推展並降低對地區之不利影響。 本研究希望以我國從1976至2010年來，共九條高速公路系統 建設為研究主軸，利用台灣城際運輸系統需求模式(TMD2008)之旅行時間資料、內政部戶口普查及工商普查資料為基礎，並運用事前事後比較(before and after analysis)與空間自相關分析(Spatial Autocorrelation analysis)等分析方法對高速公路系統建設所造成區域人口、產業之空間變動進行評估，分析高速公路系統建設對於區域人口、產業及交通可及性之空間分布變化影響。最後則建構高速公路可及性對區域人口及產業空間影響模型，並針對歷年來高速公路系統建設對國家及區域發展的影響進行實證分析。 / The benefits of highway infrastructure investments include promoted inter-regional accessibility and mobility, saved travel time and cost and increased land value in freeway interchange areas. In sum, highway infrastructure investments play an important role in national and regional development. It contributes to the population re-distribution, the growth of economic activities, and more importantly, the land use change. Therefore, how to effectively evaluate the impact of highway investments on national and regional development is an important research topic. The analytical results in this study can be applied to increase the accuracy of population and economic projection, and to manage transportation policy decisions. Between 1976 and 2010, there were nine highway systems had been built in Taiwan. This study emphasizes on the impact of highway investments on the spatial distribution of population and industry, and regional accessibility change. In this paper, we utilize before and after analysis and Spatial Autocorrelation analysis with Geographic Information System to analyze demographic data, economic data and TDM2008 database in order to perform the spatial analysis of population and industry re-distribution along highway constructions. Finally, a spatial gravity model is built to verify and describe the related spatial impacts so that several influential factors can be identified by this empirical study.

我國公部門以課徵土地稅、發放土地徵收補償為目的而進行土地大量估價，並以區段價法與路線價法為主要估價方法。由於此二估價方法之評估基礎為平均區段地價，故是否能準確劃分地價區段乃至關重要。然而，地價調查估計規則中有關地價區段之劃分規定，並無具體規範劃分準則與方式，導致地價人員僅能透過參考各項可得之圖表資料，並根據自身認知與前輩經驗，將地價相近、地段相連、情況相同或相似之土地劃為同一區段。因此，地價區段劃分之公平、客觀、準確性往往遭受民眾質疑。 劃分地價區段之目的係為掌握地區特性，故其實屬劃分同質區之概念。惟地區特性乃難以定義或量化之區域因素的空間聚集特性，致使地價人員難以掌握具體劃分準則，並準確劃分地價區段。而過去相關研究指出難以定義或量化之空間因素存於特徵價格模型的殘差之中，遂有分析殘差之空間特性以劃分同質區者。但是，各種劃分方式皆侷限於已知樣本所在位置的空間關係，導致可能出現無法就整體地區劃分同質區，或出現預測樣本不屬於任何同質區的情況。 由於克利金法可依據樣本的空間變異結構特性推估未知空間位置的觀察值，因此本研究以區域化變數理論為基礎，應用克利金法結合地理資訊系統之空間分析功能，進而依殘差之空間特性劃分空間效果同質區。研究結果顯示該同質區可合理呈現空間效果之同質性，應用於大量估價的準確性佳，且不會扭曲地價高低層次。因此，應用克利金法劃分地價區段確實為合理、準確且可行之方式。 / Public assessors evaluate official land value for taxing and compensating by land value district approach and street value approach. Since the basis of these two approaches is land value district, whether public assessors could define it accurately or not is an important issue. However, there are no specific defining criterions in Regulations on Land Value Assessment; public assessors could only refer to concerning information, especially their own subjectivity and experience of senior assessors, to define district in terms of “close land value, connected relation and similar circumstances of lands”. Accordingly, district that defined by public assessors not only the fairness and objectivity, but also the accuracy are quite doubtful. The main purpose of defining land value district is capturing local characteristics; therefore, it’s similar to the task of defining homogeneous area. Nevertheless, local characteristics are agglomerations of spatial effect, which are difficult to define or quantity. Due to the fact that public assessors are unable to get specific defining principles, they cannot define land value district accurately. A few researches indicate that spatial effect is in the residuals of hedonic pricing model, thus, some researches defining homogeneous area according to the spatial distribution of residuals. However, the defining approaches of these researches are all restricted to spatial location of known samples. Hence, it’s possible to fail to segregate different homogeneous area, or fail to take unknown samples into consideration. For the reason that kriging estimation can predict unknown spatial location’s value in basis of spatial variation structure characteristics, this research apply kriging estimation and GIS to define homogeneous area based on Theory of Regionalized Variables. The research concludes that homogeneous area which is defined by kriging can capture homogeneity of spatial effect. Besides, the prediction accuracy is quite well by adding variables of homogeneous area to hedonic pricing model. On the other hand, predicted land values still remain the exact relation between each other. Therefore, applying kriging estimation to define land value district is a reasonable, accurate and feasible method.

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.