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課程名稱 |
時空資料視覺化
Spatiotemporal Data Visualization |
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開課學期 |
110-1 |
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授課對象 |
學程 傳染病學學程 |
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授課教師 |
溫在弘 |
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課號 |
Geog5127 |
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課程識別碼 |
228EU3400 |
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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 |
星期四7,8,9(14:20~17:20) |
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上課地點 |
地理502 |
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備註 |
本課程以英語授課。
總人數上限：15人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1101_Geog5127 |
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課程簡介影片 |
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核心能力關聯 |
本課程尚未建立核心能力關連 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
This course provides various visualization methods for detecting patterns and discovering insightful information behind the raw data. These visualization methods, from producing static graphics to creating interactive dashboards and data animations, are categorized into four data types in the course, including numerical/categorical, temporal, spatial, and space-time data. The course also provides practical examples from real-world datasets for helping students understand how to apply these methods for telling stories. |
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課程目標 |
The objectives of the course are to provide students with the principles for visualization and abilities of storytelling with various types of data. Students will learn how to apply these visualization techniques for real-world datasets and create interactive data dashboards for effective data storytelling. |
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課程要求 |
Assignments 40%
Midterm Exam 30%
Term Project 30%
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預期每週課後學習時數 |
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Office Hours |
另約時間 備註： need to bring your own laptop for computer labs |
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指定閱讀 |
1. Perpinan (2018), Displaying Time Series, Spatial, and Space-Time Data with R, Routledge & CRC Press
2. Gerbing, David W. (2020), R Visualizations: Derive Meaning from Data, Routledge & CRC Press.
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參考書目 |
Data Visualization with R: https://rkabacoff.github.io/datavis/
Fundamentals of Data Visualization: https://clauswilke.com/dataviz/
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
Assignments |
40% |
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2. |
Midterm Exam |
30% |
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3. |
Term Project |
30% |
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週次 |
日期 |
單元主題 |
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第1週 |
9/23 |
Course introduction |
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第2週 |
9/30 |
Visualize a numerical/categorical variable |
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第3週 |
10/07 |
Visualize the relation of two or multiple variables |
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第4週 |
10/14 |
Create an interactive data dashboard |
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第5週 |
10/21 |
Visualize over time: Time on the horizontal axis |
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第6週 |
10/28 |
Visualize maps: Point data (proportional symbol) |
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第7週 |
11/04 |
Space-time: Spatiotemporal point observations |
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第8週 |
11/11 |
# Midterm Exam |
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第9週 |
11/18 |
# Proposal presentation |
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第10週 |
11/25 |
Temporal Viz: Time as a conditioning variable |
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第11週 |
12/02 |
Temporal Viz: Time as a complementary variable |
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第12週 |
12/09 |
Visualize maps: Choropleth maps (graduate color) |
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第13週 |
12/16 |
Visualize maps: Raster maps |
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第14週 |
12/23 |
Space-time: Spatiotemporal raster maps |
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第15週 |
12/30 |
Space-time: Create animations |
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第16週 |
1/06 |
Term Project |