居民為都市生活之主體，因此，居住環境品質之衡量除必需以居民之主觀感受為出發點外，居住環境之客觀綜合評估亦是必需納入考量方是一完整之架構。過去相關研究之實證分析受限於技術之層面多未能將空間資訊納入整合考量，例如公共設施可及性，因此，評估結果實不甚完整，而地理資訊系統結合空間與屬性資料之綜合性分析，正是解決此類問題之強有力工具。 　　因此，本研究從居住者之角度出發，以主計處「台灣地區住宅狀況調查報告」中對住宅狀況之抽樣調查為主，結合地理資訊系統對鄰里環境之評估，涵蓋主客觀因素建立居住環境品質指標，進行台北市居住實質環境之評估工作，期使評估結果能作為政府住宅政策之擬訂及住宅資源分配之參考；並以評估結果與房價及居民居住滿意度做交叉分析，以作為改善或提昇居住環境品質之方向。 　　居住環境品質評估之結果，各樣本里之品質分數差距不大。整體而言，以松山區及中山區樣本里居住環境品質較佳，而以南港區樣本里居住環境品質較差。 　　居住環境品質、房價與居民居住滿意度之交叉分析結果：在高房價地區，居住環境品質與居民居住滿意度兩者間有較高之一致性；在低房價地區，居住環境品質與居民居住滿意度兩者間之關係則較不明顯。

傳統E-Learning一直存在學習教材不足的問題。然而，隨著多媒體資訊爆炸時代來臨，有愈來愈多的教育資源可開放使用，再加上資通訊技術不斷創新演進，將不斷改變知識呈現的方式。 本篇論文透過相關文獻探討，提出整合不同學習資源以解決多媒體教材不足的問題。文中以「歷史文學」通識課程為例，分析如何有效地建構輔助教材以支援學習活動。除了從教材設計及學習支援的角度上來分析，研究中更使用Design-Based Research，透過設計不同學習情境來了解教材偏好之議題。 在實作中不但使用 text mining 的技術，也整合了 GIS (Geographic Information System) 提供更創新的互動方式。此外，透過問卷來收集參與師生之使用心得及意見回饋，實際了解學生對教材設計的偏好程度。 研究發現較生動的呈現方式有助於吸引學生，並歸納出認知程度是設計教材之重要成功要素。希望藉由本文實際之發現及建議，提供數位媒體於通識教育的應用個案參考。 / With the different impact of instructions design, such as open educational resources, multimedia explosion and innovative ICTs (Information and Communication Technologies), it offers a possible clue in exploiting from new forms of interaction and knowledge sharing in the Web 2.0 Age. This thesis argues that traditional learning issues in the lack of online multimedia instructions could be solved by integrating various multimedia learning resources, for example in General Education and other learning areas. Therefore, a framework of composing learning contents from the analysis of multimedia learning evolution is presented. By proposing an innovated framework and an analysis of different granularity in learning contents, ontology illustrations and examples in OWL (Web Ontology Language) are discussed. Since the Design-Based Research can help to understand the learning phenomena through developing different kinds of learning materials. We base on the approach of Design-Based Research to evaluate e-Learning presentations and link up the prototype implementation with research objects. The study tries to present some of the problems arising when ICTs are integrated into learning environment and to provide suggestions of how to deal with the problems. Some questionnaires are designed, and it is applied to collect feedbacks of learners and as a suggestion of improving learning instruction. In sum, this experiment provides empirical evidence that shows that, in a general education class for community university students, presenting a material with GIS (Geographic Information System) platform is more attractive than presenting the text contents together with the picture or only the text. The results indicate that a vivid presentation can help students to understand the conveyed concept. While ICTs play an important role in facilitating learning materials, cognitive load issue is so important that should be taken into account seriously. As a result, instructional designers have come to recognize the real need for multimedia instruction from our findings and take care of multiple presentations that are sensitive to cognitive load. Finally, we mainly address that the logistic of General Education must rethink under the innovative concept and the help of ICTs.

近年來由於政府實施無紙化及金融業者推行電子帳單的成效卓越，使得國內郵件的收寄量逐年下滑，郵局如何與民營業者競爭國內物流市場並達成盈餘目標，成為營運中不可忽視之因素。 傳統的郵局設點多依據公司規定與配合政府政策需求，甚少採用涉及複雜因素之區位分析進行選址。因此，如何有效且公正地評選郵局新設據點以提高收益，成為亟待解決之問題。 本研究目的在於提供高收益之郵局設點建議，我們提出一種評估中華郵政公司設點效益的方法，以國內郵局實際設點位置與相關空間資料來建置實驗模型。研究結果顯示，以本研究方法建立之預測模型可成功的提供中華郵政公司建議於何處新增據點可收最大功效。 我們首先蒐集中華郵政公司設點之鄰近區域資料，如競爭者設點數、人口因素、重要交通路口、郵件收寄量等。其次導入資料探勘技術分析影響郵件收寄量之因素，建立中華郵政公司設點收寄量預測模型。然後依照建立預測模型時所得到之區辨力分數，判斷採用何種資料探勘技術建立預測模型較適當。最後將所選定的預測模型套用於台北縣市各村里建物重心，透過環域資料分析以計算預估之收寄量，再整合各資料探勘技術之預測結果後推論出最佳設點建議。 實作中，以台北縣市資料來測試我們的方法。實驗數據顯示，我們的方法成功地找出十一個建議設點的村里，可提供給中華郵政公司作為高收益的設點建議。 / The amount of postal mail declines in recent years due to the efforts of paper-reduce policies implemented by the government, the industries, and the general publics. It becomes one of the important issues of the Chunghwa Post Company, to compete with other companies in domestic freight and mail services and to achieve the desired profits. Traditionally, the location of post offices were decided according to the government policies as well as the company regulations. The issues involved in the site selection analysis were seldom considered. Hence, developing an effective and fair mechanism to find the new post office locations that could improve the company’s surplus becomes an important problem to be solved. The purpose of this thesis is to provide recommendations to the post office site selection which will yield high profit to the company. We proposed a method to evaluate the effective profits that could be produced by a particular post office through the data mining techniques and the related GIS information. We first collect various data, such as neighborhood population, traffic flow, postal mail received at particular post office, competitor’s information, etc., and analyze these data using data mining techniques in order to establish prediction models. The most appropriate model was chosen to find the new post office sites. The Metropolitan Taipei area was chosen to illustrate our idea. The best sites for new post offices were selected through the buffering analysis as well as the data mining techniques. The experimental results show that our method can successfully find eleven locations which could generate most profit to Chunghwa Post Company if the new post offices were located in these places.

臺北市多目標地籍圖系統可提供查尋定位功能，惟並無分析、統計等一般地理資訊系統(GIS)具有的功能，使得地籍資料無法發揮更大功效，同時筆者服務機關既有之『縣市圖根管理系統』因開發較早，受限於原開發程式限制，無法與需高記體之其他軟體相容，另一方面，民眾申請多目標地籍圖，目前仍以紙本方式供應，亦無法發揮與其他政府機關或民間開發建置之地理資訊系統(GIS)圖資整合應用之功能，若能提供符合開放地理資訊編碼標準之地籍圖資，民眾可自行加值應用，將可大幅提升政府為民服務品質。由於臺北市多目標地籍圖系統功能不足，以及既有之『縣市圖根管理系統』無法正常使用，亟需開發新系統，然而，當欲增加功能時，又常受限於原開發廠商、預算編列及招標程序，導致緩不濟急。 開放式地理資訊系統聯盟製定了開放式地理資料跨平台規格書，依此規格書開發之開放源碼軟體常具有免費、跨平台、資料模組化、資料交換方便等優點，讓使用者能免費的取得軟體；同時中央研究院亦提供了許多GIS應用軟體工具供人下載使用，因此若能藉由開放源碼軟體之輔助，將地籍圖資加值應用，提供地籍圖查詢定位、套圖展示以及產製符合開放地理資訊編碼標準之地籍圖、圖根點檔，將可提高地籍資料於GIS之應用。 本研究蒐集臺北市信義區之地籍圖、圖根點及都市計畫中心樁位坐標成果，以開放源碼GIS (Quantum GIS)進行地籍資料加值之建置及處理，建置完成後之成果，可於Quantum GIS中進行定位查詢、套圖展示等操作，並可依需求製作客製化地籍圖，產製地籍圖及圖根點成果KML檔，供民眾下載後加值應用，對提升為民服務有極大助益。 / The “Taipei City Multi-purpose Cadastral Map System” can be used to search and identify location. However, it lacks of functions provided by GIS (Geographic Information Systems) such as analysis and statistics, hence its utility is limited. Since the “Supplementary Control Point Management System for City and County Government” of the researcher's institute was developed in a very early year, due to its limitation, the software is incompatible with the other software which needs large memory. In addition, multi-purpose cadastral map is currently provided to the public in paper copy, thus it cannot be integrated with other GIS data established by government or private institutions. If the cadastral map conforms to the Open Geodata Interoperability Specification (OpenGIS), it can improve the quality of service provided by the government to the public because value-added applications can be developed. As both the aforementioned systems are not sufficient to meet the needs, there is great demand for developing a new system. However, the development of new functions or systems is often restricted by the original developer, budget, and procurement procedure, hence it is not efficient for the urgent need. The Open Geospatial Consortium (OGC) has defined a set of open interfaces based on the OpenGIS. Most of the open source software that conforms to OpenGIS has the advantages of free of charge, cross platform, modulized data, and data interchangeability. It is free and easy for users to obtain open source software. Academia Sinica also provides several GIS application software for free download. By using open source GIS software to provide functions such as searching, identification, overlaying, and producing maps for cadastral maps and supplementary control points, it will enhance the value of cadastral map data in GIS applications. This research collected data of the Xinyi District of Taipei City, including cadastral maps, supplementary control points, and central piles’ coordinates for urban planning. An open source GIS (Quantum GIS) was used to process cadastral maps, and the results can be used for location searching, and overlaying maps. Moreover, customized cadastral maps can be produced on demand, and the cadastral maps and supplementary control points can be converted to KML (Keyhole Markup Language) file format, which can be downloaded by the public for value-added applications. The results is expected to greatly improve services for the public.

近年來台灣連鎖咖啡店消費人口的穩定成長，提升了連鎖咖啡店的市場規模與消費產值，傳統利潤導向的市場經營方式，使得連鎖咖啡店的競爭更趨激烈，如何訂定正確的選址與經營策略，成為在高度競爭市場中存活的重要關鍵。 傳統的選址問題需要投入大量的人力與時間進行相關資訊的蒐集、訪查與評估，故而在新設營業點時，較少運用複雜的因素進行區位選址的分析與評估。因此能透過較多的因素，從區位選址與營利效應等觀點進行分析，協助投資者獲得更好的利潤，提高決策成功的機率，是極為重要的問題。 本論文的目的，在於為連鎖咖啡店之選址決策，提出能增加成功機率之設點建議。我們依據連鎖咖啡市場雙雄在訂定選址決策的成功經驗，透過相關係數進行人口與經濟活動因素之統計分析，以找出其成功選址之關鍵因素。同時運用資料探勘的分類技術，建構成功選址之分類模型，並經由地理資訊系統提供的圖層資料，對連鎖咖啡市場雙雄之競爭關係進行分析與評估，以提供正確選址及設點之建議。 實作中我們採用台北市出租店面之空間資料，以探討並評估本研究建議模型之實際效益。實驗結果顯示，透過本研究之選址分類模型進行設點類型之預測，有七成以上之達成率，顯示本研究提出之模型能有效增加選址的成功機率，同時經由競爭對手設點空間關係之分析，亦能提供有利選址決策之建議。 / The number of customers of coffee shop chains has grown steadily in recent years that cause the market size as well as the total consumption value increase rapidly and continuously. The competition among the chain coffee stores get even worse under the traditional profit oriented management style. In such case, it is crucial to make the correct decisions when selecting the coffee shop locations as well as making operation strategies in opening new coffee shops. Traditionally, it takes a great amount of time and human resources in collecting relevant information, conducting field visits as well as site evaluations when making coffee shop site selections. One seldom considers complex factors of site evaluation or field analyzing in selecting the location of new coffee shop. Hence, it will be one of the major contributions if one can find a mechanism in analyzing the site selection as well as profit evaluation to help the investors to produce better profit and to improve the chance of success. The goal of this thesis is to provide recommendations to improve the success rate of chain coffee shop site selection strategy. Based on the coffee market leaders’ success experiences in formulating the site selection strategies, we analyzed the correlation coefficients of the population as well as economy activities in order to identify the key factors in successful site selection strategies. We also used data mining techniques to construct the classification models of successful site selection. In addition, we analyzed and evaluated competition relations between the two leading chain coffee brands using the geographic information systems to obtain appropriate recommendations in new site selections. The shop rental information of Taipei City was used to explore and to evaluate the models recommended in our mechanism. The experimental results showed that the prediction through the classification models for site selections can achieve 70% of success rate. This indicates our mechanism effectively improve the successful rate of site selections. Moreover, the experimental results also show that the spatial analysis of site selections between the competitors is helpful in providing appropriate site selection strategies.

本論文的主要目的在對於分類詞、性別詞以及複數標記在語言當中的地域分佈提出解釋．在前人的研究當中，這三項元素被認為是名詞句中平衡資訊的重要工具(Greenberg, 1990; Aikhenvald, 2000)：分類詞語言主要位於東南亞和南美洲部分地區，而具有性別詞或複數標記的語言大多出現在歐洲、非洲和美洲部分地區．我們提出的論證如下：即便這三樣元素外表上具有歧異，它們會呈現當今所見的地域分佈原因在於它們共有的兩項標記功能：可數性質及語意分類．分類詞同時滿足兩者而性別詞及複數標記分別滿足其一；依照此邏輯，我們預測有分類詞的語言不會同時具有性別詞及複數標記而反之亦然．本文中我們透過句法形式和語意功能的比較提出論證並透過類型學、地理及歷史的角度分析來自世界上最大的二十個語系（印歐，漢藏，亞非，尼日爾-剛果，南島，達羅毗荼，阿爾泰，南亞，壯侗，尼羅－撒哈拉，烏拉，高加索，等語系）的155個語言．架構上，第一章簡單對研究題目進行介紹，第二章呈現前人研究的匯整，第三章包含我們的理論論證以及我們對於分類詞、性別詞及複數標記分與合的解釋．隨後的第四章中，我們提出類型學和地理資訊系統(GIS)的證據；最後在第五張和第六章我們分別點出本研究的限制以及結論． / This thesis aims at providing an explanation for the typological and areal distribution between numeral classifiers, genders (noun classes) and grammatical plural markers. Within previous studies, these three components are considered as different devices to balance information in noun phrases (Greenberg, 1990; Aikhenvald, 2000). Numeral classifier languages are mainly present in South-East Asia and parts of South-America, while languages with genders and grammatical plural markers are generally attested in Europe, Africa and parts of the Americas. We propose that despite their apparent divergence, the three elements display this particular geographical distribution due to their convergent features of count/mass distinction and semantic classification: Numeral classifiers carry both functions, while genders and plural markers separately fulfill one of them. Following this logic, we expect that a language with numeral classifier do not have simultaneously the systems of genders plus plural markers and vice-versa. Theoretical evidence via formal syntactic form and semantic function comparison is proposed and further supported by typological, geographical and historical analysis of 155 languages that are mainly part of the 20 biggest language groups in the world, e.g. Indo-European, Sino-Tibetan, Afro-Asiatic, Niger-Congo, Austronesian, Dravidian, Japonic, Altaic, Austro-Asiatic, Tai-Kadai, Creole, Nilo-Saharan, Uralic, Quechuan, Hmong-Mien, Mayan, North Caucasian, Language isolates among others. Chapter 1 presents a brief introduction of the subject while chapter 2 displays the literature review. Chapter 3 includes our theoretical discussion proposing explaining the convergence and divergence among numeral classifiers, genders and plural markers, followed by typological and geographical evidence via GIS (Geographic Information System) in Chapter 4. Finally Chapter 5 and 6 contain the limitations of our study and its conclusion.

近年來由於銀行自動櫃員機(ATM: Automatic Teller Machine)的方便性導致ATM需求大幅增加，銀行因此必須投入可觀之設置與維護費用，然而卻缺乏有效的方式評估ATM設點位置與相關經濟效益。傳統的ATM設點多依據決策者之經驗與主觀需求，甚少考慮涉及複雜因素之空間選址問題，因此如何合理且有效地選取ATM設置據點以提高經濟效益，成為亟待解決之問題。 本研究目的在於提供高經濟效益之ATM設點建議，作為決策者參考。我們以地理資訊系統結合資料探勘技術，進行ATM設點分析。首先從ATM使用率，透過地理資訊系統技術結合空間與屬性資料。其次導入資料探勘技術分析影響ATM設點之因素，求取設置據點的綜合效益，取得影響因素與設置據點效益之關聯性並產生設點規則。最後將此規則應用於地理資訊系統圖層分析中，推論出設點建議。 我們以國內銀行實際ATM設點位置與其營業資料來展示我們的方法，實驗結果顯示我們可成功的分析影響ATM效益的主要因素，指出影響因素的明確距離及數量分佈，提供決策者分辨原始ATM是否該遷移或裁撤，同時亦能提供建議是否該於潛在客群分佈區域設立新據點。 / The convenience of the ATM banking facilities caused rapidly increasing in ATM demands during the past decades. The expenses for installation and maintenance of the ATMs are considerably high. However, there are no effective methods to evaluate the economic benefits on ATMs’ locations. Traditionally, the decision for ATM installation is based on policymaker’s experiences and subjective demands. The cost-effective issues and the spatial factors involved in location finding were seldom considered. Hence, develop a reasonable and effective mechanism to find the ATM locations that could improve economic efficiency become an important problem to be solved. The purpose of this thesis is to provide suggestion on the cost-effective ATM installation locations to help the policymaker in making decisions. We combine the techniques in geographical information system (GIS) as well as data mining for the cost-effective ATM installation location analysis. Using the ATM utilization factors for various ATMs, we can associate the attribute data with the spatial provided by GIS. Then, we use data mining techniques to analyze the factors that could influence the cost-effective installation location of ATMs. From this information, we can summarize the association rules that have the most impacts to localize the ATM installation locations. Finally, using these association rules, we can reach conclusion on ATMs’ installation locations. We use our local bank data to illustrate our idea. Experimental results show that we can successfully find the key factors that influence the cost-effective ATM installation locations. The range and the quantities of these events can be identified clearly, hence, making it possible to suggest whether an ATM should be removed or be relocated. Furthermore, we can suggest installing a new ATM at a particular location for potential customers or not.

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。