Geospatial Application Development Using Python Programming

Author:   Galety ,  Natarajan ,  Gedefa ,  Lemma
Publisher:   IGI Global
ISBN:  

9798369317549


Pages:   350
Publication Date:   26 April 2024
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Geospatial Application Development Using Python Programming


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Overview

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.

Full Product Details

Author:   Galety ,  Natarajan ,  Gedefa ,  Lemma
Publisher:   IGI Global
Imprint:   IGI Global
ISBN:  

9798369317549


Pages:   350
Publication Date:   26 April 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Arul Kumar Natarajan is currently working as an Assistant Professor at Christ (Deemed to be University), Bangalore, INDIA. He received a Ph.D. degree in Computer Science from Bharathidasan University, India, in 2019. His research areas are Computer Networks, Cyber Security, and the Internet of Things (IoT). He published more than 30 research papers in both journals and conferences. He published 4 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. Additionally, 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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