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

Understanding projected coordinate systems

The GCS tells you where data is located on the Earth’s surface. A PCS tells you how to draw and locate your data on a flat, two-dimensional plane. As mentioned previously, both the Earth and GCS models are spherical. However, most mapping mediums, be it a paper map or a mobile screen, are two-dimensional, flat surfaces. A PCS tells you how to convert the GCS spherical model to a flat model of the Earth’s surface.

It is often useful to develop a mental map by thinking about an orange. An orange is typically spherical and can be thought of as the Earth. As you peel an orange, you can lay its peel somewhat flat on a surface, but in order to get it completely flat, you must begin to tear the orange peel. Each tear in the orange peel can be thought of as distortion that is added to the model. A PCS, also known as a map projection, is essentially doing the same thing; it is tearing the GCS to allow it to be represented on our flat...