Geospatial Application Development Using Python Programming

Title Page....2

Copyright Page....3

Book Series....4

Table of Contents....6

Detailed Table of Contents....9

Foreword....16

Preface....18

Chapter 1: Introduction to Geospatial Data and Python Programming....22

Chapter 2: Python Programming for Geospatial Applications....60

Chapter 3: Python-Powered Remote Sensing Data....83

Chapter 4: Towards Spatial Data Visualization With Python....115

Chapter 5: Spatial Data Visualization With Python....144

Chapter 6: Exploring Vector and Raster Data Formats for Geospatial Visualization With Python....184

Chapter 7: Geospatial Data Visualization With Folium....208

Chapter 8: Applying Geospatial Data to Choose the Optimal Route During the Road Design Stage....230

Chapter 9: Python Library for Road Network Analysis in the Case of Debre Berhan City....295

Chapter 10: Impacts of Climate Changes on Traffic Flows Using Geospatial Data Analysis....313

Chapter 11: Deep Learning Approach to Estimate the Maize Yield Prediction Using Data From Cameroon....329

Compilation of References....342

About the Contributors....356

Index....363

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.

Coverage:

 The many academic areas covered in this publication include, but are not limited to:

• Academic Challenges
• Data Analysis
• Data Applications
• Geographic Insights
• Geospatial Advancements
• Geospatial Demand
• Geospatial Development
• Innovation in Spatial Analysis
• Programming Skills
• Python Programming