課程名稱 |
R在生態資料分析之應用 Ecological Data Analysis in R |
開課學期 |
104-2 |
授課對象 |
理學院 海洋生物及漁業組 |
授課教師 |
單偉彌 |
課號 |
Ocean5098 |
課程識別碼 |
241EU5050 |
班次 |
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學分 |
3 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
星期二2,3,4(9:10~12:10) |
上課地點 |
海研232 |
備註 |
本課程以英語授課。 總人數上限:25人 |
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1042Ocean5098_ |
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 |
課程大綱
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課程概述 |
This course is designed to teach the usage of R for the analysis of ecological data. It will introduce students to several different analysis options for biological or ecological data (focusing specifically on community-level data) using the free & open-source statistical, mapping, and graphing platform R. Broad topics covered will include: introduction to R language and basic functions / graphics; basic mapping options; diversity measurement; univariate, multivariate, parametric and non-parametric analysis and their basis; functional diversity; and ecological time series analysis. Students will require a laptop for sessions. Schedule is subject to changes according to student progress. |
課程目標 |
General knowledge in R language, and basic functions
Self-exploration of dataset, and customized analysis
In depth knowledge on community-ecology analysis
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課程要求 |
Basic knowledge in ecology, biology and informatics |
預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
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參考書目 |
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評量方式 (僅供參考) |
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週次 |
日期 |
單元主題 |
Week 1 |
2/23 |
No class, read attached file |
Week 2 |
3/01 |
Introduction to R |
Week 3 |
3/08 |
Data manipulation |
Week 4 |
3/15 |
Data exploration - graph |
Week 5 |
3/22 |
Loop and basic models
Maps, GIS |
Week 6 |
3/29 |
Descriptive Statistics / GLM (1) |
Week 7 |
4/05 |
No class |
Week 8 |
4/12 |
GLM (2) |
Week 9 |
4/19 |
Mid-term week |
Week 10 |
4/26 |
Spatial correlation
Repeated measures |
Week 11 |
5/03 |
Mutivariate analysis (1) |
Week 12 |
5/10 |
Multivariate analysis (2) |
Week 13 |
5/17 |
No class |
Week 14 |
5/24 |
Multivariate analysis - unconstrained ordination (3) |
Week 15 |
5/31 |
Multivariate analysis - constrained ordination (4) |
Week 16 |
6/07 |
Ecological diversity |
Week 17 |
6/14 |
Functional diversity |
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