本論文運用R語言探討國立清華大學學士班共168位學生於校園中為期一年的數位足跡，其中結合多維度資料集，例如五大人格特質（外向性、開放性、神經質、嚴謹性、友善性）、國立清華大學課務組課程總表、性別、年級、科系、院所、年、學期、月、星期、時、分、秒等（各式不同時間顆粒），加上多種視覺化套件（plot3d、scatterplot3d、Polygon、networkD3、sankeyNetwork），以及多種時間序列演算法（ETS、ARIMA、STL、NNAR、TBATS），再搭配Kevin Lynch (1960)城市意象、Bill Hillier與Julienne Hanson (1984)空間型構法則、G. W. Allport與H. S. Odbert (1936)五大人格特質，以及L. D. Baer, W. M. Gesler, 與T. R. Konrad (2000) Wineglass「空間-時間」模型概念，加以探討專屬於國立清華大學校園意象行為。
研究結果發現，不同人格特質學生於行走路徑總量及特徵有所不同；不同建築物人流熱點有所差異；ARIMA及ETS時間序列演算法於國立清華大學校園建築物內預測人流熱點較為穩定；開課課程總表結合必選修因素與學生行走路徑呈負相關；學生年級與學生行走路徑呈負相關。本論文在各式資料中探索並發現未知關聯，對於未來「空間-時間」領域研究者提供各式研究方法及套件，可作為數位足跡相關研究之參考。

This paper uses R language to explore the digital footprint of a total of 168 students from the National Tsinghua University undergraduate program on campus for one year, which combines multi-dimensional data sets, such as the big five personality traits (extroversion, openness, neuroticism, rigorousness, and friendliness), National Tsinghua University Curriculum Group Course List, gender, grade, department, institution, year, semester, month, week, hour, minute, second, etc. (various time granules), plus a variety of visualization packages (Plot3d, scatterplot3d, Polygon, networkD3, sankeyNetwork), and a variety of time series algorithms (ETS, ARIMA, STL, NNAR, TBATS), combined with Lynch(1960) the City of Image, Hillier (1984) space syntax, Gordon Allport Together with Henry Odbert (1936) Big Five Personality Traits, and Baer, Gesler, and Konrad (2000) Wineglass "space-time" model concept, they will explore the image behavior of the campus of National Tsinghua University.
In the conclusion, it is found that students with different personality traits have different walking paths and characteristics; different buildings have different hotspots; ARIMA and ETS time series algorithms predict that the hotspots of pedestrians in the campus buildings of National Tsinghua University are relatively stable; classes start The curriculum summary table combined with the required elective factors are negatively correlated with the student's walking path; the grade of the student is negatively related with the student's walking path. This thesis mediates and discovers unknown associations in various materials, and provides various research methods and kits for researchers in the field of "space-time" in the future, hoping to be used as a reference for research on digital footprint.

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