Lesson 8: Visualising and Analysing Geographic Data

Lesson Outline

• Introducing map
• Properties of geographical data
• Typology of map
• Thematic mapping techniques
  • Proportional symbol map
  • Choropleth map
  • Data Classification
• Alternative mapping techniques

Lesson Slides and Hands-on Notes

• Lesson 8: Visualising and Analysing Geographic Data slides.

Hands-on Exercises:

• Hands-on Exercise 8: Choropleth Mapping in R
• Hands-on Exercise 8: Visualising Geospatial Point Data
• Hands-on Exercise 8: Analytical Mapping.

Readings

Core Reading

• The Concept of Map Symbols
• Proportional Symbols
• Choropleth map
• Choropleth Maps
• The Basics of Data Classification

Additional Readings

• Choropleth Maps – A Guide to Data Classification
• Bivariate Choropleth
• Value-by-alpha maps
• What to consider when creating choropleth maps
• Choropleth Mapping with Exploratory Data Analysis
• Cartogram Maps: Data Visualization with Exaggeration
• Cartogram
• When Maps Shouldn’t Be Maps
• What to consider when creating choropleth maps

Visualising Geographic Data: Tableau Methods

Basic Tutorial

• Maps and Geographic Data Analysis in Tableau. This chapter from the User Guide of Tableau provide a comprehensive overview of the mapping concepts and Tableau methods. I strongly recommend you to read the chapter at least once.
• Live Training: Mapping
• Getting Started with Mapping
• Maps in Tableau
• Editing Unrecognized Location
• Spatial Files
• The Density Mark Type (Heat maps)
• Expanding Tableau’s Mapping Capabilities
• Custom Geocoding
• Polygon Maps
• Background Images

Beyond the Basic

• Advanced Mapping with Tableau
• 10 ways to add value to your dashboards with maps
• 3 Ways to Make Magnificent Maps in Tableau
• How to Make Trellis / Tile / Small Multiple Maps in Tableau

GeoVisual Analytics: R methods

sf package

• Simple Features for R
• Reading, Writing and Converting Simple Features
• Manipulating Simple Feature Geometries
• Manipulating Simple Features
• Plotting Simple Features
• Miscellaneous
• Spherical geometry in sf using s2geometry

raster package

• raster reference
• raster package

stars

• stars reference
• Spatiotemporal Arrays: Raster and Vector Datacubes
• Introduction
• stars tidyverse methods
• Statistical modelling with stars objects

tmap package

• tmap reference
• tmap: get started!
• tmap: what is changed in recent versions?
• Tennekes, M., (2018)tmap: Thematic Maps in R, Journal of Statistical Software, 84(6), 1-39.

micromap package

• micromap provides functions simplifies the creation of linked micromap plots.
• Linked Micromaps

geofacet package

• geofacet provides geofaceting functionality for ggplot2. Geofaceting arranges a sequence of plots of data for different geographical entities into a grid that strives to preserve some of the original geographical orientation of the entities.
• Introduction to geofacet