Book Image

Applied Geospatial Data Science with Python

By : David S. Jordan
3 (1)
Book Image

Applied Geospatial Data Science with Python

3 (1)
By: David S. Jordan

Overview of this book

Data scientists, when presented with a myriad of data, can often lose sight of how to present geospatial analyses in a meaningful way so that it makes sense to everyone. Using Python to visualize data helps stakeholders in less technical roles to understand the problem and seek solutions. The goal of this book is to help data scientists and GIS professionals learn and implement geospatial data science workflows using Python. Throughout this book, you’ll uncover numerous geospatial Python libraries with which you can develop end-to-end spatial data science workflows. You’ll learn how to read, process, and manipulate spatial data effectively. With data in hand, you’ll move on to crafting spatial data visualizations to better understand and tell the story of your data through static and dynamic mapping applications. As you progress through the book, you’ll find yourself developing geospatial AI and ML models focused on clustering, regression, and optimization. The use cases can be leveraged as building blocks for more advanced work in a variety of industries. By the end of the book, you’ll be able to tackle random data, find meaningful correlations, and make geospatial data models.
Table of Contents (17 chapters)
Part 1:The Essentials of Geospatial Data Science
Free Chapter
Chapter 1: Introducing Geographic Information Systems and Geospatial Data Science
Part 2: Exploratory Spatial Data Analysis
Part 3: Geospatial Modeling Case Studies

Working with Geographic and Projected Coordinate Systems

Contrary to what some may believe, the Earth is not flat. In fact, early Greek people began theorizing that the Earth was not flat as early as 500 BC when Pythagoras proposed that it was round. Pythagoras derived his theory that the Earth was round based on the sunlight that is projected off the Moon’s surface. He noted that the line between the light and dark zones of the Moon is curved. Thus, he concluded that the Moon was a sphere, and thus, all celestial bodies must also be spheres.

Sometime between 384 and 322 BC, Aristotle, another Greek philosopher, added additional evidence supporting the spherical Earth model. His evidence came from studying the consistency in the curvature of lunar eclipses and noted that only a spherical Earth could produce such consistency.

Aristotle also observed that, as the Greek people sailed for new lands in the north and south, there were changes in the altitude of constellations...