Geospatial Application Development Using Python Programming

Academics and researchers currently grapple with a pressing issue; the demand for precise and insightful geographical information has surged across various fields, encompassing urban planning, environmental monitoring, agriculture, and disaster management. This surge has revealed a substantial knowledge gap, underscoring the need for effective applications that can bridge the gap between cutting-edge technologies and practical usage. Geospatial Application Development Using Python Programming emerges as the definitive solution to this challenge. This comprehensive book equips academics, researchers, and professionals with the essential tools and insights required to leverage the capabilities of Python programming in the realm of spatial analysis. It goes beyond merely connecting these two realms; it actively fosters their collaboration. By advancing knowledge in spatial sciences and highlighting Python's pivotal role in data analysis and application development, this book plays a crucial part in addressing the challenge of effectively harnessing geographical data. Tailored to meet the discerning needs of scholars, researchers, and professionals, this book represents an invaluable resource. It offers a comprehensive reference for those aiming to enhance their proficiency in spatial analysis and computer programming, thus encouraging innovation and progress in this dynamic field. For educators and students aspiring to excel in the use of spatial technology and Python programming, this book serves as a catalyst for advancement, contributing to the solution of effectively meeting the increasing demand for precise geographical data and its diverse applications. Geospatial Application Development Using Python Programming is the needed transformative response to a critical academic challenge.

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.