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

Exploring open geospatial data assets

As we mentioned at the start of this chapter, over the last two decades, geospatial data has become highly available to the public due to the rise of internet-connected technologies as well as the rise of numerous open source communities. In this section of the book, we’re going to cover open geospatial data assets that are provided by government agencies, NGOs, citizen scientists, and some amazing geospatial communities.

Human geography

Human geographic data or anthropogeographic data is a branch of geographic data that deals with humans and their relationship to the area around them.

United States Census Bureau data

Within the United States, the Census Bureau is one of the best sources of geo-demographic data. Geo-demographic data is location-based data that segments individuals based on their locale as well as their demography. The Census Bureau collects this data via various programs including the decennial census as well...