Computational Methods and GIS Applications in Social Science
暫譯: 社會科學中的計算方法與地理資訊系統應用

整合地理資訊系統（GIS）、空間分析及計算方法，以解決各種與政策相關的社會科學應用中的現實問題。第三版經過全面更新，展示了計算空間社會科學的最佳實踐，並包含新的範例和案例研究，提供在 ArcGIS Pro 中的逐步指導。

Fahui Wang is Associate Dean of the Pinkie Gordon Lane Graduate School and Cyril and Tutta Vetter Alumni Professor in the Department of Geography and Anthropology, Louisiana State University. He earned a BS in geography at Peking University, China, and an MA in economics and a PhD in city and regional planning at the Ohio State University. His research has revolved around the broad theme of spatially integrated computational social sciences, public policy, and planning in geographic information systems. He is among the top 1% most-cited researchers in geography in the world.

Lingbo Liu is Postdoctoral Fellow at the Center for Geographic Analysis, Harvard University, leading the development of Geospatial Analytics Extension for KNIME. He was a lecturer at the Department of Urban Planning, School of Urban Design, Wuhan University, from 2005 to 2022, and earned a PhD in digital urban administration and planning at Wuhan University in 2018. His research uses multi-source data and quantitative models to capture the spatiotemporal features of urban systems and provides decision support for public policy, sustainable urban planning, and design.

王法輝是路易斯安那州立大學平基·戈登·萊恩研究生院的副院長，以及地理與人類學系的西里爾與圖塔·維特校友教授。他在中國北京大學獲得地理學學士學位，並在俄亥俄州立大學獲得經濟學碩士學位和城市與區域規劃博士學位。他的研究圍繞著空間整合計算社會科學、公共政策以及地理資訊系統中的規劃等廣泛主題。他是全球地理學領域中被引用次數排名前1%的研究者之一。

劉靈博是哈佛大學地理分析中心的博士後研究員，負責開發KNIME的地理空間分析擴展。他曾於2005年至2022年擔任武漢大學城市規劃系的講師，並於2018年在武漢大學獲得數位城市管理與規劃的博士學位。他的研究利用多來源數據和定量模型來捕捉城市系統的時空特徵，並為公共政策、可持續城市規劃和設計提供決策支持。