簡介

主要研究各種人類活動與社會科學之時空分布之實驗室。

創立背景

「科技始終來自於人性!」，所謂人性科技必須先了解人類的行為、活動與需求。 然而，超過百分之八十的人類活動資料都含有空間資訊。透過智慧型手機的普及，感應器與監視系統等科技發展與社群網站的興起，人類每天的活動資訊正悄悄地被記錄下來。再加上政府推動的OPEN DATA政策，社會經濟與自然環境的空間資料開放上網。這兩者透過時空資訊結合後，豐富的人類與環境互動資料可供學界分析研究其態樣，並應用於後續政府的工程管理或政策擬定。

研究方向與未來展望

本實驗室主要研究方向與執行的計畫係將應用空間統計與地理資訊系統，研究人類各項的空間行為與周遭環境之間的關聯性。

1. 巨觀角度:就現有總體資料庫:如酒駕肇事資料庫、犯罪資料庫、飲酒店位置資料等，結合開放之GIS圖層與社會經濟資料，透過空間迴歸與資料探勘等技術，尋找其相關性並發展時空預測模型。結果可應用於後續環境之設計與人力規劃上，如都市規劃、路網設計或警力配置等。

2. 微觀角度: 持續蒐集或擴充個體之感測器或軌跡資料:如連續性侵犯犯案位置、智慧農業文心蘭溫溼感應器或是電子腳鐐資料庫等，透過時空檢定與軌跡分析等，尋找其特性並監控管理策略。

3. 其他:高精度地圖

未來長期研究計畫希望能應用空間分析技術及Location Based System至其他人類活動之空間資訊；並與其他測量工程、地質與衛星通訊之研究室合作，共享研究資源。本計畫預期發展的預測模型能有效且準確地分析人類行為與相對應時空環境之可能反應與關係，提供管理者與政府未來規劃與工程建設參考依據。

實驗室守則 LABORATORY GUIDELINES

本實驗室主要研究方向與執行的計畫係將應用空間統計與地理資訊系統，研究人類各項的空間行為與周遭環境之間的關聯性。

1. 尊重與平等：禁止任何形式之騷擾、霸凌或歧視。

Respect and equality are fundamental. No harassment, bullying, or discrimination.

2. 學術倫理：嚴禁抄襲、造假或不當使用AI工具。

Academic integrity is essential. No plagiarism, fabrication, or misuse of AI.

3. 資源與資料管理：資料與研究成果未經授權不得外流，離開實驗室請關閉設備與冷氣並鎖門。

No unauthorized sharing of data or research outputs.　Turn off equipment and lock the lab when leaving.

4. 任務與進度：建議任務收到後回覆「收到＋完成時間」，每週維持基本進度更新

Acknowledge tasks with “Received + ETA”. Provide weekly progress updates.

5. 溝通與合作：遇到問題請及時討論，配合團隊研究規劃與安排

Communicate early and follow team coordination.

6. 環境維護：遵守系所清潔公約，禁止吸菸，垃圾請分類，個人物品與食物請妥善存放並上鎖。

Follow cleanliness rules, no smoking, proper waste sorting.　Store personal items and food properly.

【KEY PRINCIPLE】

清楚回應與穩定進度，是研究合作的基礎

Clear communication and steady progress are the foundation of collaboration

【LAB CULTURE】

GIS = Growth 成長｜ Integrity 誠信｜ Stability 穩定

The Spatial Social Science Laboratory believes that one of the best ways of applying GIS (Geographic Information Systems) is on analyzing the relationship between human spatial-temporal behavioral patterns and the surrounding environment. With the rapid development of smartphones and sensor technologies, the rise of social media, and government open data policies which makes tons of spatial datasets of socio-economic and human-environment interactions available over the internet, further academic analysis can be done to design business strategies, and provide references for the government’s policy development.

Indicated below are current research topics associated with the laboratory:

Crime and Risk Analysis

Using the Spatial Regression Model on crime, crash, and alcohol outlet location datasets, GIS models are created to analyze spatial-temporal patterns to predict crime hotspots, define risk factors and potential escape paths. The results can be used by local authorities for patrol routes, CCTV installations, and enforcement.

Smart Agriculture

Designing the best installation location of IoT (Internet of Things) sensors in an orchid greenhouse to collect weather information for smart agriculture.

Human Movement (Tourism)

Combining mobile phone and bike-share datasets with Pokemon Go safari event stop points,  an estimate of the number of tourists (particularly Pokemon Go enthusiasts) and a simulation of their movements in Tainan, Taiwan is computed.

Human Movement (Medical)

Applying object detection techniques to CCTV footages and integrating it with GPS sensor data, a mapping system is developed to help the elderly who have dementia (a brain disease that causes a long-term and gradual decrease in the ability to think and remember) to travel.

Future research programs include the application of spatial analysis on other human activities. Expected generated models from those programs can effectively and accurately analyze the possible relationships between human behavior and the corresponding space-time environment. Its results can be used as a reference for future planning by the Government or Private Institutions.