The Topological Weighted Centroid: A New Vision of Geographic Profiling: Theory and Applications

本書介紹了拓撲加權重心方法，並描述了在研究各種空間現象動態方面的一些應用，特別強調地理現象之間的關係、影響和動態的空間分析。這本書提供了對理論的全面介紹以及來自各種地理數據的示例，並深入探討了更複雜的案例研究，例如拓撲加權重心方法在研究疫情模式、文化過程、犯罪和環境現象中的應用。

Masoud Asadi-Zeydabadi serves as professor in the Department of Physics, University of Colorado Denver. Masoud Asadi received a Ph.D. in physics from University of Colorado Boulder. His research interests include nonlinear dynamics and chaos, physics education, biological modeling, and medical physics.

Marco Breda is currently the director of the Advanced Analytics and AI in the division of Data and Analytics Center of Excellence at Engineering Ingegneria Informatica. He works with machine learning paradigms for designing and building complex analytical systems for public and private industrial companies in various ICT sectors. He has worked with various IT companies including Ericsson Telecamunicazione's research division and TIM gathering more than 20 years' experience in data warehousing, business intelligence, and data mining projects. He is also an associate researcher at the Semeion Research Center in Rome, Italy, where he conducts basic research in artificialintelligence. He has published over 30 papers and teaches data warehousing and advanced analytics at the "Enrico della Valle" School since 2010. He received an M.Sc. in electronic engineering from the "Sapienza" University of Rome in 1989.

Massimo Buscema is the director of Semeion Research Center in Rome, Italy, and is currently a full professor adjoint at the Department of Mathematical and Statistical Sciences, University of Colorado (Denver, USA). He has published more than 300 scientific papers in the field of AI, about 8 scientific books, and 28 international patents. Massimo does research in algorithms, artificial intelligence, and artificial neural networks. His current projects include EEG in autism diagnosis, geographic profiling, artificial neural networks working with many data sets simultaneously, deep learning, and data matrix theory.

Francesca Della Torre is a research associate at the Semeion Research Center in Rome, Italy. She receivedher Master of Science in mathematics from the University of Rome "Tor Vergata" in 2016. Her skills and expertise are in the areas of business intelligence, data science, advanced machine learning, deep learning, computer vision, evolutionary algorithms, artificial intelligence, unsupervised learning, and their respective applications.

Weldon Lodwick is a professor in the Department of Mathematical and Statistical Sciences, University of Colorado Denver. His areas of expertise include computational geographical information systems, uncertainty theory, fuzzy set theory, optimization, and applications especially in the areas of medicine.

Giulia Massini earned a Laurea in Sociology, University of Rome, "La Sapienza," in 1978.

She was one of the founding members and deputy director of Semeion Research Center in Rome, Italy. She has been working as a computer programmer and data scientist, contributing to several publications, both theoretical and applicative. Her research focuses on graph theory, creation of new algorithms in neural networks, and adaptive artificial systems.

Francis Newman is a professor emeritus at University of Colorado Denver and an adjoint associate professor at the department of Mathematical and Statistical Sciences at the same university. He served as a head radiation physicist at the University of Colorado Denver Anschutz Medical Campus (University of Colorado Hospital). His skills and expertise are in the areas of radiation dosimetry, radiation therapy physics, radiation oncology, medical radiation physics, radiotherapy physics, radiotherapy, dosimetry, IMRT, artificial neural networks, and optimization especially applied to medicine.

Riccardo Petritoli is an associated researcher at Semeion Research Center in Rome, Italy. With over 20 years of experience in machine learning and computer intelligence focused on the design, implementation, and application of analytic adaptive systems, he is also currently serving as a data scientist and customer engagement manager in an international consulting firm. His areas of expertise include predictive and forecasting model design, intelligent automation, strategic planning for business process optimization, marketing, and operational risk management.

Masoud Asadi-Zeydabadi 擔任科羅拉多大學丹佛分校物理系教授。Masoud Asadi 於科羅拉多大學博爾德分校獲得物理學博士學位。他的研究興趣包括非線性動力學與混沌、物理教育、生物建模及醫學物理。

Marco Breda 目前是 Engineering Ingegneria Informatica 數據與分析卓越中心的高級分析與人工智慧部門主任。他專注於機器學習範式，為各種資訊通信技術（ICT）領域的公私營工業公司設計和建造複雜的分析系統。他曾在多家 IT 公司工作，包括 Ericsson Telecamunicazione 的研究部門和 TIM，擁有超過 20 年的數據倉儲、商業智慧和數據挖掘項目經驗。他也是位於意大利羅馬的 Semeion 研究中心的副研究員，從事人工智慧的基礎研究。自 2010 年以來，他在 'Enrico della Valle' 學校教授數據倉儲和高級分析，並已發表超過 30 篇論文。他於 1989 年在 'Sapienza' 義大利羅馬大學獲得電子工程碩士學位。

Massimo Buscema 是位於意大利羅馬的 Semeion 研究中心主任，目前擔任科羅拉多大學（美國丹佛）數學與統計科學系的全職副教授。他在人工智慧領域發表了超過 300 篇科學論文，約 8 本科學書籍，以及 28 項國際專利。Massimo 的研究專注於演算法、人工智慧和人工神經網絡。他目前的項目包括自閉症診斷中的腦電圖（EEG）、地理剖析、同時處理多個數據集的人工神經網絡、深度學習和數據矩陣理論。

Francesca Della Torre 是位於意大利羅馬的 Semeion 研究中心的研究助理。她於 2016 年在 'Tor Vergata' 義大利羅馬大學獲得數學碩士學位。她的技能和專長涵蓋商業智慧、數據科學、高級機器學習、深度學習、計算機視覺、進化演算法、人工智慧、無監督學習及其各自的應用領域。

Weldon Lodwick 是科羅拉多大學丹佛分校數學與統計科學系的教授。他的專業領域包括計算地理信息系統、不確定性理論、模糊集理論、優化及其在醫學等領域的應用。

Giulia Massini 於 1978 年在 'La Sapienza' 義大利羅馬大學獲得社會學學位。她是位於意大利羅馬的 Semeion 研究中心的創始成員之一及副主任。她曾擔任計算機程式設計師和數據科學家，為多篇理論和應用出版物做出貢獻。她的研究專注於圖論、神經網絡中新演算法的創建及自適應人工系統。

Francis Newman 是科羅拉多大學丹佛分校的名譽教授，並擔任該校數學與統計科學系的副教授。他曾擔任科羅拉多大學丹佛安舒茨醫學校區（科羅拉多大學醫院）的首席放射物理學家。他的技能和專長涵蓋放射劑量測定、放射治療物理學、放射腫瘤學、醫學放射物理學、放射治療物理學、放射治療、劑量測定、IMRT、人工神經網絡及優化，特別是在醫學領域的應用。

Riccardo Petritoli 是位於意大利羅馬的 Semeion 研究中心的副研究員。他在機器學習和計算智能方面擁有超過 20 年的經驗，專注於分析自適應系統的設計、實施和應用。