時間序列與空間統計 系列課程 報名表單 Topics for Time Series and Spatial Statistics Class - Registration Form
📌 課程大綱 Course Overview

本課程將帶領您深入探索時空統計模型，結合理論與實務，學習如何分析與應用各類時空數據。無論您是研究者、數據分析師，或對時空統計有興趣的學習者，都歡迎加入我們，一同探索這門重要的分析技術！

This course will guide you through an in-depth exploration of spatiotemporal statistical models, combining theory with practical applications. Whether you are a researcher, data analyst, or simply interested in spatiotemporal statistics, you are welcome to join us in mastering this essential analytical technique!

📌 課程時間 Course Schedule

2025/5/16 – 2025/6/27（早上 10:00 ~ 12:00）
Duration: May 16, 2025 – June 27, 2025 (10:00 AM ~ 12:00 PM)

📌 課程地點 Course Venue

中央研究院 地球所二樓演講廳（實體與線上同步進行）
2nd Floor Lecture Hall, Institute of Earth Sciences, Academia Sinica (In-person & Online Hybrid)

📌 課程資訊 Course Content

本課程涵蓋時空統計模型的理論講解與案例應用，內容包括：
This course covers the theoretical foundations and practical applications of spatiotemporal statistical models, including:

📈 時間序列分析 Time Series Analysis
Auto-regressive Integrated Moving Average (ARIMA) models
Seasonal Decomposition of Time Series (STL)
Forecasting

🌍 空間統計分析 Spatial Statistics
Kriging
Geostatistical Interpolation
Spatial Autoregressive Models (SAR)


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姓名 (Name) *
電子信箱 (e-mail) *
請填寫有效的電子信箱，以便接收課程通知
Please provide a valid email address to receive course notifications.
單位/學校 (Institution / Organization) *
所別 (Department) *
身份 (Position) *
選擇報名課程 (Choose to register for a course)
實體 (On-site)
線上 (Online)
5/16 (五) Kriging I
5/23 (五) Kriging II
6/6 (五) Time series I
6/13 (五) Time series II
6/24 (二) Time series III
6/27 (五) Spatial Autoregressive Models (SAR)
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請問您有使用過下列哪些程式或軟體？(Have you used any of the following programs or software?) *
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請問您是否曾經修習過以下統計課程？如果有，請問您對下列主題的熟悉程度如何？(Have you ever taken any of the following statistics courses? If so, how familiar are you with the following topics?) *
1 未修習 （Did not take course）
2 稍微熟悉（Slightly familiar）
3 中等熟悉（Moderately familiar）
4 熟悉（Familiar）
5 非常熟悉（Very familiar）
統計學 (Statistics)
迴歸分析 (Regression Analysis)
多變量分析 (Multivariate Analysis)
時間序列 (Time Series)
空間統計 (Spatial Statistics)
問題與建議 (Questions and suggestions)
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