https://scholars.lib.ntu.edu.tw/handle/123456789/358412
標題: | Forecasting space-time land use change in the paochiao watershed of Taiwan using demand estimation and empirical simulation approaches | 作者: | Chu, H.-J. YU-PIN LIN Wu, C.-F. |
關鍵字: | ANN; CLUE-s; Land use change; Landscape metrics; Markov chain | 公開日期: | 2010 | 卷: | 6016 LNCS | 期: | PART 1 | 起(迄)頁: | 116-130 | 來源出版物: | Lecture Notes in Computer Science | 摘要: | This study applies two empirical approaches such as logistic regression, and artificial network (ANN) to combine Conversion of Land Use and its Effects (CLUE-s) model to predict urban sprawl in the Paochiao watershed in Taipei County, Taiwan. The current investigation projected land-use dynamics for the next twenty years using demand prediction models such as the Markov chain and cellular automata model. Accordingly, the empirical models integrating with CLUE-s then simulated land-use patterns for future periods based on the predicted demands. Results show that land-use patterns predicted by the model tended to fragment and intersperse future patterns. The predicted land-use patterns have significant impact on urban sprawl in the Paochiao watershed. The study is an effective means of enhancing land-use monitoring and managing urbanized watersheds. © 2010 Springer-Verlag Berlin Heidelberg. |
URI: | http://www.scopus.com/inward/record.url?eid=2-s2.0-77952318800&partnerID=MN8TOARS http://scholars.lib.ntu.edu.tw/handle/123456789/358412 |
ISBN: | 3642121551; 9783642121555 | DOI: | 10.1007/978-3-642-12156-2-9 | SDG/關鍵字: | Forecasting; Logistic regression; Markov chains; Predictive analytics; Urban growth; Watersheds; Artificial networks; Cellular automata modeling; CLUE-s; Demand estimation; Empirical approach; Empirical simulations; Land-use change; Landscape metrics; Land use |
顯示於: | 生物環境系統工程學系 |
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