Sustainable Development: A Geospatial and Statistical Perspective
暫譯: 可持續發展：地理空間與統計視角

這本新書全面探討聯合國可持續發展目標（SDGs）與地理空間技術之間的交集，分析如何有效利用地理空間和統計信息，包括衛星影像、地理信息系統、遙感技術以及統計工具和數據分析技術，來評估、監測和促進可持續發展計劃。

Qazi Mazhar Ali, DPhil (Oxon), is the former Dean of the Faculty of Science and Professor of Statistics at the Department of Statistics & Operations Research, Aligarh Muslim University, India. He earned his doctorate degree from the University of Oxford in 1993. He has been designated as the primary point of contact for the United Nations Global Geospatial Information Management (UNGGIM), and he is actively engaged in the Sustainable Development Goals 2030 through a statistical data network. He has published his work in digital image analysis, classification (remotely sensed images), epidemiology, and bioinformatics in the UK and Germany. He contributed in popularizing PCbased computer education in the 1980s and continues to advance it still.

Rizwan Ahmad, PhD, is a faculty member at the Interdisciplinary Department of Remote Sensing & GIS Applications, Aligarh Muslim University, India. His research interests include Earth observation, geospatial technology applications, and GIS data integration. He has a doctorate in geoscience and has vast research and teaching experience in India and abroad. He has worked with prestigious institutes such as the IIRS-ISRO (Indian Institute of Remote Sensing-Indian Space Research Organisation; Forest Survey of India (MoEF & CC, Govt. of India), Dehradun; and Eritrea Institute of Technology (EIT), Asmara, Eritrea (North East Africa).

Irfan Ali, MPhil, PhD, is a Senior Assistant Professor of Statistics and Operations Research at Aligarh Muslim University, India. He was recently recognized by ScholarGPS, one of the world-renowned scholar agencies, for his contributions to the mathematical optimization and environment statistics fields. He has published many research articles as well as several books, including the textbook, Optimization with LINGO-18: Problems and Applications. His research interests include applied statistics, mathematical optimization, fuzzy logic and optimization, multi-objective optimization, supply chain management, UN Sustainable Development Goals, and renewable energy production modeling. He has completed several grant projects and also serves as associate editor and editorial board member for several journals.

Prasenjit Chatterjee, PhD, is Dean (Research and Consultancy) at the MCKV Institute of Engineering, West Bengal, India. A prolific author and editor, he is the editor of several book series and has published many research papers and books on intelligent decision-making, supply chain management, optimization techniques, sustainability modeling. disruptive technologies, intelligent computing, etc. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods: Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI). He has received numerous awards for his work.

Qazi Mazhar Ali, DPhil (Oxon)，曾任印度阿里格爾穆斯林大學統計與運籌研究系科學院院長及統計學教授。他於1993年在牛津大學獲得博士學位。他被指定為聯合國全球地理空間資訊管理（UNGGIM）的主要聯絡人，並透過統計數據網絡積極參與2030年可持續發展目標。他在英國和德國發表了有關數位影像分析、分類（遙感影像）、流行病學和生物資訊學的研究。他在1980年代推廣基於個人電腦的電腦教育，並持續推進此領域。

Rizwan Ahmad, PhD，是印度阿里格爾穆斯林大學遙感與地理資訊系統應用跨學科系的教職員。他的研究興趣包括地球觀測、地理空間技術應用及GIS數據整合。他擁有地球科學博士學位，並在印度及國外擁有豐富的研究和教學經驗。他曾在印度空間研究組織（ISRO）下的印度遙感研究所（IIRS）、印度森林調查局（MoEF & CC, Govt. of India）、德拉敦及厄立特里亞技術學院（EIT）等知名機構工作。

Irfan Ali, MPhil, PhD，是印度阿里格爾穆斯林大學統計與運籌研究的高級助理教授。他最近因在數學優化和環境統計領域的貢獻而被世界知名的學者機構ScholarGPS認可。他發表了許多研究文章及幾本書籍，包括教科書《使用 LINGO-18 的優化：問題與應用》。他的研究興趣包括應用統計、數學優化、模糊邏輯與優化、多目標優化、供應鏈管理、聯合國可持續發展目標及可再生能源生產建模。他已完成多個補助專案，並擔任多本期刊的副編輯及編輯委員會成員。

Prasenjit Chatterjee, PhD，是印度西孟加拉邦MCKV工程學院的研究與諮詢院長。他是一位多產的作者和編輯，編輯多個書籍系列，並發表了許多有關智能決策、供應鏈管理、優化技術、可持續性建模、顛覆性技術、智能計算等方面的研究論文和書籍。Chatterjee博士是兩種多準則決策方法的開發者之一：替代方案的測量與根據妥協解的排名（MARCOS）以及通過將準則子區間功能映射到單一區間的替代方案排名（RAFSI）。他因其工作獲得了多項獎項。