Python Programming for Geospatial Applications

Author:

Das Deepthi1,Natarajan Arul Kumar2ORCID

Affiliation:

1. Christ University, India

2. Samarkand International University of Technology, Uzbekistan

Abstract

Geospatial solutions represent a pivotal toolset for analyzing, interpreting, and visualizing spatial data across diverse domains, facilitating informed decision-making and fostering innovation. This book chapter provides a comprehensive overview of geospatial solutions, emphasizing their critical role in addressing spatially explicit challenges and driving efficiency, productivity, and innovation across various sectors. Furthermore, it explores the integration of Python programming in geospatial applications, highlighting its versatility and extensive ecosystem of libraries and tools tailored for spatial data analysis and visualization. The fundamentals of web mapping are discussed in depth, elucidating spatial representation, technologies, and tools commonly employed in web mapping applications. Also, the chapter explores Python's role in retrieving geospatial data with Python, visualization methods, and interactive web mapping.

Publisher

IGI Global

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