(修課同學以自備筆記型電腦為佳，隨堂練習是採個人的方式進行，每位同學只需要依照老師的指導進行操作練習，就會有很大的實質收穫。)
(要選修本課程的同學，第一堂課務必到課)

空間大數據是大數據分析領域中的其中一種資料型態，而隨著政府開放資料(Open data)的發展趨勢，以空間大數據為基礎的政策分析與公共管理，已有愈來愈多的分析成果。其次，隨著空間數據的可取得程度日益便利，例如犯罪地點、交通事故與違規地點、科技執法位置、長照服務地點、公車站牌位置等，這些與公共服務有關的空間資料，相信都是深具政策與管理意涵的空間大數據。本課程將說明空間大數據的基本資料型態，接著透過空間大數據的分析案例，帶領學生實際使用免費的空間分析軟體QGIS，實際進行空間大數據的分析練習，同學只要跟這課程完成練習，就能建立空間大數據的分析技能。

(It is better for students taking the course to bring their own laptops. Exercises in class are conducted in a personal way. Each student only needs to follow the teacher's guidance to practice and they will gain great benefits.)
(Students who want to take this course must arrive at the first class)

Spatial big data is one of the data types in the field of big data analysis. With the development trend of government open data (Open data), more and more analysis results have been achieved in policy analysis and public management based on spatial big data. Secondly, with the increasing availability of spatial data, such as crime locations, traffic accident and violation locations, technological law enforcement locations, long-term care service locations, bus stop locations, etc., these spatial data related to public services are believed to be spatial big data with profound policy and management implications. This course will explain the basic data types of spatial big data. Then, through the analysis cases of spatial big data, students will be led to actually use the free spatial analysis software QGIS to conduct actual spatial big data analysis exercises. As long as students complete the exercises in this course, they can build their spatial big data analysis skills.

自編講義(以第一堂課公告為準)。

Self-compiled handouts (subject to the first class announcement).