跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.152) 您好!臺灣時間:2025/11/02 05:49
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:田智瑾
研究生(外文):Chih Chin Tien
論文名稱:都市擴張模式-SLEUTH 應用於台灣的校準
論文名稱(外文):Calibration of the SLEUTH Urban Growth Model for Taiwan
指導教授:莊振義莊振義引用關係
口試委員:賴進貴林裕彬孫志鴻
口試日期:2012-07-25
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:地理環境資源學研究所
學門:社會及行為科學學門
學類:地理學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:英文
論文頁數:48
中文關鍵詞:SLEUTH都市擴張模式模式校準台北高雄
外文關鍵詞:SLEUTHurban growth modelcalibrationTaipeiKaohsiung
相關次數:
  • 被引用被引用:0
  • 點閱點閱:357
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
SLEUTH 是一已廣泛應用於世界許多城市的細胞自動機(cellular automata, CA )土地利用與都市成長模擬模式,應用範圍包括美洲、歐洲、亞洲的許多都市,包括台灣。SLEUTH 模式中的都市成長方式主要由五個參數所控制,分別是擴散、育種、蔓延、坡度、但道路引力。結合各個描述不同都市面向的參數,可以模擬出不同型態的都市成長方式。擴散參數控制整體模式中因擴散而轉為都市網格的數量;育種參數控制一個新增都市網格轉為新擴散中心的機率;坡度參數控制坡度對都市開發的阻力;道路引力參數則控制都市網格可經由道路擴散多遠。
過去台灣大部份的研究著重在SLEUTH與其他模型結合的進一步應用。本研究將著重在SLEUTH模式對台北及高雄都會區的校準本身。藉由輸入足夠的歷史土地利用資料,並使用最佳SLEUTH標準(Optimal SLEUTH Metric) 對其結果進行評估。基本的視覺比較也將做為參數調整的基準。經過調整後的參數組合能夠對過去的都市擴張過程進行更佳的模擬,提供更進一步土地利用預測及其他氣象模式一個良好的基礎。



SLEUTH is a cellular automata land use model which has been applied to various cities widely around the world including America, Europe, Asia and also, Taiwan. There are five coefficients in the model to control the growth rules, DIFFUSSION coefficient, BREED coefficient, SPREAD coefficient, SLOPE coefficient, and ROAD GRAVITY coefficient. Combining individual coefficients together, each describing different portion of urban growth, can decide different dynamic of urban growth. Most of the past research of Taiwan focused on the application of combining SLEUTH result with further model simulation. This research addressed on the calibration of SLEUTH to Taipei and Kaohsiung metropolitan. Sufficient land use data is input in the calibration. Optimal SLEUTH metric (OSM) is used to evaluate the calibration result; also the basic visual comparison was used to certify weather the coefficient set obtained from the calibration is reasonable. Through the modification of coefficient set, the urban expansion process was better constructed in the model which is the foundation for land-use prediction and further metrology model simulation.

Abstract II
摘要 III
Contents IV
List Of Figures V
List Of Tables VI
Chapter 1 Introduction 1
1.1 INTRODUCTION 1
1.2 RESEARCH OBJECTIVES 4
Chapter 2 Literature Review 6
2.1 LAND USE MODEL 6
2.2 CA MODEL FOR URBAN SIMULATION 7
2.3 SLEUTH 9
2.3.1 Introduction 13
2.3.2 Calibration 15
2.3.3. Land-Use Simulation In Taiwan 16
Chapter 3 Study Cases And Methods 18
3.1 TAIPEI 19
3.2 KAOHSIUNG 21
3.3 DATABASE 23
3.4 METHODS 28
Chapter 4 Results And Discussion 34
4.1 CALIBRATION RESULT 34
4.2 VISUAL VALIDATION 36
Chapter 5 Conclusions And Future Works 42
5.1 LANDUSE 43
5.2 VALIDATION 43
Reference 45


林承緯 [Lin Chen-Wei] 2005。台灣都市蔓延發展型態之研究--以台灣四大都會區為例 [A Morphological Research of Urban Sprawl in Taiwanese Four Major Metropolises]。台灣大學碩士論文 [Master dissertation, National Tawan Universtiy, Taipei]。
賴進貴、 葉高華、王韋力 [Lay Jinn-Guey, Yap Ko-Hua, Wang Wei-ley] 2004。土地利用變遷與空間相依性之探討以臺北盆地聚落變遷為例 [Exploring Land Use Changes and Spatial Dependence- A CAse Study of Settlement Changes in the Taipei Basin]。臺灣地理資訊學刊(1) [Journal of Taiwan Geographic Information Scienc e (1)]: 29-40。
劉紹臣、 劉振榮、林傳堯、 許乾忠、林文澤 [Liu Shau-Chen, Liu Chen-Jung, Lin Chuan-Yao, Lin Web-Tse] 2003。台灣西部平原熱島效應 [Urban Heat Island Effect in Taiwn West-Coastal plain] 。看見台灣(5) [Taiwan Watch (5)]。.

CAndau, J. 2002. Temporal calibration sensitivity of the SLEUTH urban growth model. Master dissertation, Saint Babara University, CAlifornia.
Charlson, R. J., F. P. J. Valero and J. H. Seinfeld. 2005. In search of balance. Science (308) : 806.
Clarke, K. C. and L. J. Gaydos. 1998. Loose-coupling a cellular automaton model and GIS: Long-term urban growth prediction for San Francisco and Washington/Baltimore. International Journal of Geographical Information Science (12): 699-714.
Clarke, K. C., N. Gazulis, C. Dietzel and N. C. Goldstein. 2007a. A decade of SLEUTH modeling: Lessons learned from applications of a cellular automaton land use change model. Classics in IJGIS: Twenty years of the International Journal of Geographical Information Science and Systems: 413-427.
--- 2007b A decade of SLEUTH modeling: lessons learned from applications of a cellular automaton land use change model. Classics in IJGIS: Twenty years of the International Journal of Geographical Information Science and Systems: 413-427.
Clarke, K. C., S. Hoppen and L. Gaydos. 1997. A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and planning B (24): 247-262.
Dietzel, C. and K. C. Clarke. 2004. Spatial differences in multi-resolution urban automata modeling. Transactions in GIS (8) : 479-492.
--- 2007. Toward optimal calibration of the SLEUTH land use change model. Transactions in GIS (11) : 29-45.
Ding, Y. C. and Y. K. Zhang. 2007. The simulation of urban growth applying SLEUTH CA model to the Yilan Delta in Taiwan. Journal Alam Bina (Jilid 09): 1.
Iltanen, S. 2012. Cellular automata in urban spatial modelling. Agent-based models of geographical systems: 69-84.
Jantz, C. A., S. J. Goetz and M. K. Shelley. 2004. Using the SLEUTH urban growth model to simulate the impacts of future policy scenarios on urban land use in the Baltimore-Washington metropolitan area. Environment and planning B (31): 251-272.
Li, X. and A. Gar-On Yeh. 2000. Modelling sustainable urban development by the integration of constrained cellular automata and GIS. International Journal of Geographical Information Science (14): 131-152.
Lin, Y., Y. B. Lin, Y. T. Wang and N. M. Hong. 2008. Monitoring and predicting land-use changes and the hydrology of the urbanized Paochiao watershed in Taiwan using remote sensing data, urban growth models and a hydrological model. Sensors (8): 658-680.
O''Sullivan, D. and P. M. Torrens. 2000. Cellular models of urban systems. CASA Working Papers (22), London, UK
Portugali, J. 2000. Self-organization and the City. Berlin Heidelberg: Springer Verlag.
Sante, I., A. M. Garcia, D. Miranda and R. Crecente. 2010. Cellular automata models for the simulation of real-world urban processes: A review and analysis. Landscape and Urban Planning (96): 108-122.
Silva, E. A. and K. C. Clarke. 2002. Calibration of the SLEUTH urban growth model for Lisbon and Porto, Portugal. Computers, Environment and Urban Systems (26): 525-552.
Tobler, W. 1970 CELLULAR GEOGRAPHY.
Torrens, P. M. and D. O''Sullivan. 2000. Cities, cells, and complexity: developing a research agenda for urban geocomputation, http://www.geosimulation.org/geosim/gc044.htm (last accessed 5 August 2012)
Turner, B. L., E. F. Lambin and A. Reenberg. 2007. The emergence of land change science for global environmental change and sustainability. Proceedings of the National Academy of Sciences (104): 206-266.
Veldkamp, A. and E. F. Lambin. 2001. Predicting land-use change. Agriculture, Ecosystems and Environment (85): 1-6.
Wolfram, S. 1984. Cellular automata as models of complexity. Nature (311): 419-424.
Wu, X., Y. Hu, H. S. He, R. Bu, J. Onsted and F. Xi. 2009. Performance evaluation of the SLEUTH model in the Shenyang metropolitan area of Northeastern China. Environmental Modeling and Assessment (14): 221-230.


QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top