Overview

In geospatial analysis, navigating the complexities of data interpretation and analysis presents a formidable challenge. Traditional methods often need to efficiently handle vast volumes of geospatial data while providing insightful and actionable results. Scholars and practitioners grapple with manual or rule-based approaches, hindering progress in understanding and addressing pressing issues such as climate change, urbanization, and resource management. Ethics, Machine Learning, and Python in Geospatial Analysis offers a solution to the challenges faced by leveraging the extensive library support and user-friendly interface of Python and machine learning. The book's meticulously crafted chapters guide readers through the intricacies of Python programming and its application in geospatial analysis, from fundamental concepts to advanced techniques. Scholars and practitioners can now enhance their analytical capabilities and unlock deeper insights from geospatial data with the guidance of this pivotal book. From manipulating data structures to employing machine learning algorithms, it equips readers with the tools and knowledge to tackle complex geospatial problems confidently and precisely. With Ethics, Machine Learning, and Python in Geospatial Analysis, the era of cumbersome manual processes gives way to a new frontier of efficient, data-driven analysis, empowering scholars to make meaningful contributions to geospatial science.

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Mohammad Gouse Galety has been working in CS since 1999. He is now a Professor in the CS department of Samarkand International University of Technology, Samarkand, Uzbekistan. He holds two PhDs in web mining and image processing of CS and two master's degrees in computers. The first master's degree in computer applications and the second in computer science. His research interests span computer and information science, mainly web mining, IoT, and AI. He (co)author of more than 50 journal papers and international conference proceedings indexed by Springer, Scopus, four patents, and five books. He is a Fellow of the IEEE. As of 2022, Google Scholar reports over 280 citations to his work. Since 1999, he has served in different national and international organizations like Sree Vidyanikethan Degree College, India; Emeralds Degree College, Tirupati, India; Brindavan College of Engineering, India; Kuwait Educational Center, Kuwait, Ambo University, Ethiopia; Debre Berhan University, Ethiopia, Lebanese French University, Erbil, Iraq, CUE, Erbil, Iraq. He teaches undergraduate and postgraduate students several courses on computer science and information technology/science engineering. Arul Kumar Natarajan works as an Assistant Professor at Samarkand International University of Technology, Uzbekistan. He received a Ph.D. in Computer Science from Bharathidasan University, India, in 2019. Arul Kumar has contributed to students' academic growth, amassing 14 years of teaching experience. His roles have included serving as an Assistant Professor at Christ University in India, Debre Berhan University in Ethiopia, and Bishop Heber College in India before joining Samarkand International University of Technology in 2024. His research areas are Cybersecurity and Artificial Intelligence. He published more than 30 WoS/Scopus Indexed publications. He published 19 patents in physics, communication, and computer science. He has chaired many technical sessions and delivered more than 15 invited talks at the national and international levels. He has completed over 33 certifications from IBM, Google, Amazon, etc. He passed the CCNA: Routing and Switching Exam in 2017 from CISCO. He also passed the Networking Fundamentals in the year 2017 exam from Microsoft. Tesfaye Fufa graduated from Jima University with a Bachelor's Degree in Information Technology in July 2012 and received a Master of Science in Software Engineering from Adama Science and Technology University. Previously, he worked from 2013–2020 as a lecturer at Debre Berhan University, Ethiopia. He is currently working as an Associate Researcher II, Satellite Operator and Development at the Space Science and Geospatial Institute. His research interests include artificial intelligence, network security, cloud computing, big data, image processing, and data science. He has written more than four journal papers.

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