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.

<p>The purpose of this study is to find potential areas suitable for energy production using renewable sources. For this aim, accurate assessments are necessary. The assessments include geographical suitability, closeness of infrastructure and observing local and regional framework concerning the use of renewable sources together with environmental protection. In addition, economical factor is considered in such an assessment. In this study, the Photovoltaic (PV) production potential for Germany is considered. An accurate and complete data set is necessary in order to achieve reliable results. In addition, a powerful database management and strong analysis tools are required. Geographical Information System (GIS) is a tool for finding suitable sites for the photovoltaic production.Using GIS, energy generation planners are able to visualize solar densities throughout the considered area. In addition, they can find the optimal and most economical sites by the combination of solar potential with the information about land. In this study, data sources consist of meteorological and geographical conditions. Furthermore, all analyses have been performed using Arc GIS Desktop. This study demonstrates the possible places for photovoltaic plants and indicates suitable candidates according to weights and factors in multi criteria analysis. The solar radiation data is from year 1995 to 2005. Land cover data is according to Corine 2000 and the more detailed Raumordnungskataster (Rok) for Weser-Ems. Numerical results are reliable from a comparison point of view. This study demonstrates the sensitivity of the defined criteria with respect to electricity production. In particular, this study is useful to see the capabilities of GIS for site selection regarding photovoltaic plants.The purpose of this study is to find potential areas suitable for energy production using renewable sources. For this aim, accurate assessments are necessary. The assessments include geographical suitability, closeness of infrastructure and observing local and regional framework concerning the use of renewable sources together with environmental protection. In addition, economical factor is considered in such an assessment. In this study, the Photovoltaic (PV) production potential for Germany is considered. An accurate and complete data set is necessary in order to achieve reliable results. In addition, a powerful database management and strong analysis tools are required. Geographical Information System (GIS) is a tool for finding suitable sites for the photovoltaic production.Using GIS, energy generation planners are able to visualize solar densities throughout the considered area. In addition, they can find the optimal and most economical sites by the combination of solar potential with the information about land. In this study, data sources consist of meteorological and geographical conditions. Furthermore, all analyses have been performed using Arc GIS Desktop. This study demonstrates the possible places for photovoltaic plants and indicates suitable candidates according to weights and factors in multi criteria analysis. The solar radiation data is from year 1995 to 2005. Land cover data is according to Corine 2000 and the more detailed Raumordnungskataster (Rok) for Weser-Ems. Numerical results are reliable from a comparison point of view. This study demonstrates the sensitivity of the defined criteria with respect to electricity production. In particular, this study is useful to see the capabilities of GIS for site selection regarding photovoltaic plants.</p>

Labraunda has a long and manifold history. The sanctuary starts out small in the Archaic period, is the most important in Karia during the Hekatomnid dynasty, reverts to a more normal position during the Hellenistic time, and is finally converted into a Christian sanctuary in the Late Roman period. This study aims to investigate the spatial pattern of what the visitor could have been perceived as religiously important at the sanctuary, in four different phases. Plans of the architecture and theory about ritual activity have formed the basis for analysing religious importance. What this study has shown is that a movement of religiously important space can be observed at Labraunda. Moving away from the origins at the Split Rock, for a long period being concentrated to the Temple Terrace, and consequently moving out to the two churches built outside the temenos.

DEVELOPMENT OF GIS BASED TRAJECTORY STATISTICAL ANALYSIS METHOD TO IDENTIFY POTENTIAL SOURCES OF REGIONAL AIR POLLUTION Yikmaz, Riza Fikret M.Sc., Department of Geodetic and Geographic Information Technologies Supervisor: Prof. Dr. G&uuml / rdal Tuncel Co-supervisor: Assoc. Prof. Dr. Zuhal Aky&uuml / rek May 2010, 186 pages Apportionment of source regions affecting a certain receptor in the regional scale is necessary information for air quality management and development of national policy for exchange of air pollutants with other countries. Source region apportionment can be studied either through numerical modeling or by using trajectory statistics that is a hybrid methodology of modeling and measurements. Each of these approaches has their advantages and disadvantages. In this study treatment of back-trajectory segments in Potential Source Contribution Function (PSCF), which is one of the tools used in trajectory statistics will be investigated, to increase the reliability of the apportionment process. In the current method run in GIS, especially two parameters gains importance. One is that the vertical locations of trajectory segments are not taken into account at present. In this study, how the evaluation of the segments in 3-D instead of 2-D could improve the results will be assessed. The other parameter that is rainfall at each segment will be included in the PSCF calculations and its effects on the spatial distribution of PSCF values will be evaluated. A user interface in Geographical Information System (GIS) will be developed for effective use of improved methodology.

The purpose of this study is to find potential areas suitable for energy production using renewable sources. For this aim, accurate assessments are necessary. The assessments include geographical suitability, closeness of infrastructure and observing local and regional framework concerning the use of renewable sources together with environmental protection. In addition, economical factor is considered in such an assessment. In this study, the Photovoltaic (PV) production potential for Germany is considered. An accurate and complete data set is necessary in order to achieve reliable results. In addition, a powerful database management and strong analysis tools are required. Geographical Information System (GIS) is a tool for finding suitable sites for the photovoltaic production.Using GIS, energy generation planners are able to visualize solar densities throughout the considered area. In addition, they can find the optimal and most economical sites by the combination of solar potential with the information about land. In this study, data sources consist of meteorological and geographical conditions. Furthermore, all analyses have been performed using Arc GIS Desktop. This study demonstrates the possible places for photovoltaic plants and indicates suitable candidates according to weights and factors in multi criteria analysis. The solar radiation data is from year 1995 to 2005. Land cover data is according to Corine 2000 and the more detailed Raumordnungskataster (Rok) for Weser-Ems. Numerical results are reliable from a comparison point of view. This study demonstrates the sensitivity of the defined criteria with respect to electricity production. In particular, this study is useful to see the capabilities of GIS for site selection regarding photovoltaic plants.The purpose of this study is to find potential areas suitable for energy production using renewable sources. For this aim, accurate assessments are necessary. The assessments include geographical suitability, closeness of infrastructure and observing local and regional framework concerning the use of renewable sources together with environmental protection. In addition, economical factor is considered in such an assessment. In this study, the Photovoltaic (PV) production potential for Germany is considered. An accurate and complete data set is necessary in order to achieve reliable results. In addition, a powerful database management and strong analysis tools are required. Geographical Information System (GIS) is a tool for finding suitable sites for the photovoltaic production.Using GIS, energy generation planners are able to visualize solar densities throughout the considered area. In addition, they can find the optimal and most economical sites by the combination of solar potential with the information about land. In this study, data sources consist of meteorological and geographical conditions. Furthermore, all analyses have been performed using Arc GIS Desktop. This study demonstrates the possible places for photovoltaic plants and indicates suitable candidates according to weights and factors in multi criteria analysis. The solar radiation data is from year 1995 to 2005. Land cover data is according to Corine 2000 and the more detailed Raumordnungskataster (Rok) for Weser-Ems. Numerical results are reliable from a comparison point of view. This study demonstrates the sensitivity of the defined criteria with respect to electricity production. In particular, this study is useful to see the capabilities of GIS for site selection regarding photovoltaic plants.

Surface elevation is likely the most fundamental property of our planet. In contrast to land topography, bathymetry, its underwater equivalent, remains uncertain in many parts of the World ocean. Bathymetry is relevant for a wide range of research topics and for a variety of societal needs. Examples, where knowing the exact water depth or the morphology of the seafloor is vital include marine geology, physical oceanography, the propagation of tsunamis and documenting marine habitats. Decisions made at administrative level based on bathymetric data include safety of maritime navigation, spatial planning along the coast, environmental protection and the exploration of the marine resources. This thesis covers different aspects of ocean mapping from the collection of echo sounding data to the application of Digital Bathymetric Models (DBMs) in Quaternary marine geology and physical oceanography. Methods related to DBM compilation are developed, namely a flexible handling and storage solution for heterogeneous sounding data and a method for the interpolation of such data onto a regular lattice. The use of bathymetric data is analyzed in detail for the Baltic Sea. With the wide range of applications found, the needs of the users are varying. However, most applications would benefit from better depth data than what is presently available. Based on glaciogenic landforms found in the Arctic Ocean seafloor morphology, a possible scenario for Quaternary Arctic Ocean glaciation is developed. Our findings suggest large ice shelves around parts of the Arctic Ocean during Marine Isotope Stage 6, 130–200 ka. Steered by bathymetry, deep water from the Amerasian Basin of the Arctic Ocean flows over the central Lomonosov Ridge into the Eurasian Basin. This water mass is traced on its continuing way towards Greenland and the Fram Strait. At the Morris Jesup Rise, bathymetry plays an important role in the partial re-circulation of the water into the Amerasian Basin. / <p>At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 2: Manuscript. Paper 3: Submitted.</p>

The aim of this study was to map and date glacial flutings with ice flows deviating from the predominating northwesterly ice flow direction in the southern part of Norrbotten County in northern Sweden, and also to investigate if parts of the glacial landscape are older than previously thought. The traditional view is that most landforms in the area were formed during the late Weichselian (W3). Analysis of the new high resolution elevation model (2 m grid) derived from laser scanning was performed after treating the data with a hillshade tool in ArcMap to reveal terrain features such as flutings. The analysis resulted in a map showing four main groups of deviating ice flows (N-S, NO-SV, SO-NV and S-N) and several westerly ice flows. The majority of flutings with deviating ice flows were found in low terrain. This, together with studies suggesting a cold based late Weichselian ice sheet in Norrbotten, implies an old age of the deviating ice flows. The deviating ice flows are interpreted to originate from the first early Weichselian (W1), or predate the onset of the Weichselian glaciation. Some NV-SO flutings were located in high terrain, which implies a younger age relative to the low terrain flutings. They represent the youngest ice flow found in the area, possibly from the second early Weichselian (W2). The new elevation model clearly offers new possibilities for studying small scale landforms and shows that the traditional view of the Weichselian glaciation in northern Swedish needs to be reconsidered.

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.

A intensa fragmentação florestal da Bacia do Rio Corumbataí, SP, resultante do processo desordenado de uso e ocupação do solo da região em que ela está inserida, motivou a definição de áreas prioritárias para sua conservação e preservação florestal, tendo em vista o incremento da biodiversidade regional. Empregou-se a abordagem multicriterial, em ambiente SIG, com o Método da Média Ponderada Ordenada, para combinação dos fatores (características da paisagem) importantes ao objetivo do projeto. A princípio os fatores selecionados foram: proximidade entre fragmentos de maior área nuclear; proximidade à cobertura florestal; proximidade à rede hidrográfica; distância à malha viária; distância aos centros urbanos; e vulnerabilidade à erosão. Para a obtenção desse fatores foram necessários os planos de informação: uso e cobertura do solo; fragmentos de floresta; área nuclear dos fragmentos de floresta; rede hidrográfica; centros urbanos; malha viária; declividade; e erodibilidade do solo. Para auxiliar na definição dos fatores, seus pesos de compensação (expressam a ordem de importância dos fatores no processo de decisão) e restrições (categorias restritivas das características) utilizou-se a Técnica Participatória e o Processo Hierárquico Analítico, no próprio SIG. Na determinação dos melhores pesos de ordenação (controlam a maneira como os fatores são agregados e o nível de compensação entre eles) foi considerado o risco assumido no processo de tomada de decisão. Foram, dessa maneira, avaliados mapas de áreas prioritárias com riscos médio, alto e baixo. Os mapas de prioridades foram reclassificados de maneira a apresentar cinco classes de prioridade: muito baixa, baixa, média, alta e muito alta. O mapa final de áreas prioritárias foi reclassificado em sete classes, que possibilitaram o melhor entendimento das alterações propostas para a estrutura da bacia. Na avaliação da importância e da influência dos fatores, para o processo de tomada de decisão, utilizou-se a análise de sensibilidade. Ela foi realizada somente para o mapa de prioridades referente ao grupo de pesos de ordenação mais adequado. Essa análise indicou que a melhor alternativa, para a priorização de áreas, foi o mapa sem o fator proximidade à rede hidrográfica, que apresentou risco médio-alto (R = 0,46) e compensação de 73% entre seus fatores. Os pesos de ordenação desse mapa de prioridades promoveram a definição de áreas prioritárias de acordo com o préestabelecido para esse processo de tomada de decisão. A grande maioria das áreas com maior prioridade coincidiram com regiões da bacia que concentram sua área de floresta nativa e, ainda, seus melhores fragmentos (maiores, mais próximos uns dos outros, com melhores formas e maiores áreas nucleares). Conclui-se que a abordagem multicriterial, com o método da Média Ponderada Ordenada, é eficiente para a definição de áreas prioritárias para a conservação e preservação florestal e o processo de tomada de decisão apresenta robustez, com pesos de compensação, ordenação e solução coerentes. / The forest fragmentation of the Corumbataí River Basin, SP (Brazil) is a consequence an unplanned process of soil occupation and use. The purpose of this study was to define priority areas for forest conservation and preservation in that river basin, aiming at improve the regional biodiversity. Multicriteria evaluation with Ordered Weighted Average was used to aggregate factors (characteristics of landscapes). Factors considered important were: proximity to forest patches; proximity to forest with larger core area; proximity to water; distance to roads; distance to urban areas; and vulnerability to erosion. In order to produce these factors it was necessary the layers: land use/land cover; forest patches; core area of forest patches; streams; urban areas; roads; slope; and erodibility. In the definition of the factors, the factors importance weights (define the importance of each factor in the process) and constraints, the Participatory Technique and the Hierarchical Analytic Process were used. In the determination of the factors order weights (controls the manner in which the weighted factors are aggregate) its was considered the risk-taking. Maps were produced with low, medium, and high risk. These maps were reclassified in order to show only five levels of priority (very low, low, medium, high, very high), and the final map in seven levels of priority. The sensitivity analysis was employed to identify the importance and the influence of factors (only to the selected priority map with adequate risk-taking). According to this analysis the best alternative was the priority map without proximity to water, that showed high risk (R = 0.40) and 78% of trade-off among the factors. The order weights of this final map promoted the definition of priority areas, according to the objective of this project. Finally, it is concluded that the multicriteria evaluation with Ordered Weighted Average is efficient to determine priority areas to forest conservation and preservation; and the process presents robustness.

Notre thèse s'inscrit dans le cadre de la mise en place d'un observatoire des pratiques agricoles dans le bassin versant de la Vesle. L'objectif de ce système d'information agri-environnemental est de comprendre les pratiques responsables de la pollution de la ressource en eau par les pesticides d'origine agricole sur le territoire étudié et de fournir des outils pertinents et pérennes pour estimer leurs impacts. Notre problématique concerne la prise en compte de l'imperfection dans le processus de la fusion de données multi-sources et imparfaites. En effet, l'information sur les pratiques n'est pas exhaustive et ne fait pas l'objet d'une déclaration, il nous faut donc construire cette connaissance par l'utilisation conjointe de sources multiples et de qualités diverses en intégrant dans le système d'information la gestion de l'information imparfaite. Dans ce contexte, nous proposons des méthodes pour une reconstruction spatialisée des informations liées aux pratiques agricoles à partir de la télédétection, du RPG, d'enquêtes terrain et de dires d'experts, reconstruction qualifiée par une évaluation de la qualité de l'information. Par ailleurs, nous proposons une modélisation conceptuelle des entités agronomiques imparfaites du système d'information en nous appuyant sur UML et PERCEPTORY. Nous proposons ainsi des modèles de représentation de l'information imparfaite issues des différentes sources d'information à l'aide soit des ensembles flous, soit de la théorie des fonctions de croyance et nous intégrons ces modèles dans le calcul d'indicateurs agri-environnementaux tels que l'IFT et le QSA. / Our thesis is part of a regional project aiming the development of a community environmental information system for agricultural practices in the watershed of the Vesle. The objective of this observatory is 1) to understand the practices of responsible of the water resource pollution by pesticides from agriculture in the study area and 2) to provide relevant and sustainable tools to estimate their impacts. Our open issue deals with the consideration of imperfection in the process of merging multiple sources and imperfect data. Indeed, information on practices is not exhaustive and is not subject to return, so we need to build this knowledge through the combination of multiple sources and of varying quality by integrating imperfect information management information in the system. In this context, we propose methods for spatial reconstruction of information related to agricultural practices from the RPG remote sensing, field surveys and expert opinions, skilled reconstruction with an assessment of the quality of the information. Furthermore, we propose a conceptual modeling of agronomic entities' imperfect information system building on UML and PERCEPTORY.We provide tools and models of representation of imperfect information from the various sources of information using fuzzy sets and the belief function theory and integrate these models into the computation of agri-environmental indicators such as TFI and ASQ.