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課程名稱 |
地理統計
Geostatistics |
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開課學期 |
111-2 |
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授課對象 |
生物資源暨農學院 生物環境系統工程學系 |
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授課教師 |
林裕彬 |
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課號 |
BSE5060 |
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課程識別碼 |
622EU2580 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期三7,8,9(14:20~17:20) |
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上課地點 |
農工繪圖室 |
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備註 |
本課程以英語授課。
總人數上限：20人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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課程概述 |
Geostatistics provides quantitative descriptions of variables in space and time. It deals with spatiotemporal data based on regionalization variable theory, and contributes to the linear estimation of spatial random variables. Spatial structure of the spatial variables can be done by using semi-variogram (variogram). The best linear unbiased estimation (BLUE) and geostatistical simulations can be utilized to deal with spatial estimations and simulations of the random variables. This course will introduce the basic geostatistics and the above approaches. The relevant software of geostatistics will be introduced in this course. |
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課程目標 |
The aims of the course are to introduce the theories of the random processes, spatial covariances and the semi-variogram. Students will learn how to do linear spatial estimations using kriging and co-kriging as well as non-linear estimation such as indicator kriging. Students will learn how to utilize geostatistical simulation approaches in dealing the random variable. Finally, the students will learn how to use software in geostatistical analysis. |
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課程要求 |
Students should have basic statistical background |
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預期每週課後學習時數 |
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Office Hours |
每週三 10:00~12:00 |
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指定閱讀 |
Mining Geostatistics, A.G. Journel and C.J. Huijbregts, Academic press, 1978.
Geostatistics for environmental sceinces, R. Wbster and M. A. Oliver, Wiley, 2001.
Geostatistics-modeling spatial uncertainty, J-P. Chiles and P. Delfiner, Wiley, 1999.
Introduction to Geostatistics, Kitanidis, Cambridge, 1997.
Geostatistical Software Library and User's Guide, C. V. Deutsch and A. G. Journel, OXFORD,1992.
Random Field Models in Earth Sciences, George Christakos,Academic Press, 1992.
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參考書目 |
Introduction to Geostatistics |
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評量方式
(僅供參考) |
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週次 |
日期 |
單元主題 |
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Week 1 |
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Introduction and statistics |
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Week 2 |
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Statistics and Geostatistics |
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Week 3 |
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Prediction and interpolation
Characterizing spatial processes |
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Week 4 |
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Covariances and sem-variogram (Variogram) |
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Week 5 |
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Estimating and modeling variogram |
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Week 6 |
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Estimating and modeling variogram |
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Week 7 |
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Linear estimation and prediction, kriging |
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Week 8 |
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cross-correlation, coregionalization and cokriging |
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Week 9 |
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Uinversal kriging |
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Week 10 |
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Mid-term report and 10-minute presentation |
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Week 11 |
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Nonlinear methods and indicator kriging |
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Week 12 |
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Geostatistical simulation of random variable |
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Week 13 |
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Principle of stochastic simulation |
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Week 14 |
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Sequential simulation approach and conditional simulations |
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Week 15 |
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conditional simulation and Sequential Gaussian Simulation (sGs) |
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Week 16 |
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Sampling Design/ Final report and 20-minute presentation |
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