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Interactive Visualization and Plotting with Julia

You're reading from   Interactive Visualization and Plotting with Julia Create impressive data visualizations through Julia packages such as Plots, Makie, Gadfly, and more

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781801810517
Length 392 pages
Edition 1st Edition
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Author (1):
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Diego Javier Zea Diego Javier Zea
Author Profile Icon Diego Javier Zea
Diego Javier Zea
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Table of Contents (19) Chapters Close

Preface 1. Section 1 – Getting Started
2. Chapter 1: An Introduction to Julia for Data Visualization and Analysis FREE CHAPTER 3. Chapter 2: The Julia Plotting Ecosystem 4. Chapter 3: Getting Interactive Plots with Julia 5. Chapter 4: Creating Animations 6. Section 2 – Advanced Plot Types
7. Chapter 5: Introducing the Grammar of Graphics 8. Chapter 6: Creating Statistical Plots 9. Chapter 7: Visualizing Graphs 10. Chapter 8: Visualizing Geographically Distributed Data 11. Chapter 9: Plotting Biological Data 12. Section 3 – Mastering Plot Customization
13. Chapter 10: The Anatomy of a Plot 14. Chapter 11: Defining Plot Layouts to Create Figure Panels 15. Chapter 12: Customizing Plot Attributes – Axes, Legends, and Colors 16. Chapter 13: Designing Plot Themes 17. Chapter 14: Designing Your Own Plots – Plot Recipes 18. Other Books You May Enjoy

Creating choropleth maps

Choropleth maps are pretty standard in diverse types of media. Usually, they display established geographical entities, such as countries and provinces, using polygons. Following this, we can indicate the value of a variable for a region using the color inside its polygon. Usually, we will use the color or hue to identify the values of a categorical variable. For qualitative and ordinal variables, we use color luminance and saturation instead.

We can read the polygons that are needed to create choropleth maps from a vector file in one Geographic Information System (GIS) file format. The Julia language ecosystem offers the pure Julia Shapefile and GeoJSON packages to read files in the homonymous GIS formats. To read other GIS formats, both vector and raster images, you can use the GDAL or ArchGDAL packages. These last packages are wrappers to the Geospatial Data Abstraction Library (GDAL), which can read and write multiple GIS formats.

The Shapefile and...

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