Week 3 videos

Grammar of graphics and choropleth maps lecture

Apologies for intermittent coughing throughout (probably just as well I was at home…)

The grammar of graphics

• Introduction 1m11s
• The grammar of graphics 2m58s
• The grammar of graphics layers 3m28s
• Apply GG to cartography 3m06s

Data scales

• Data measurement scales 7m30s
• The limitations of nominal-ordinal-ratio scales 2m32s
• Data scales in relation to cartography 2m55s

Colour and classification

• Colour: it’s complicated 1m35s
• Available colour palettes 7m19s
• Classification methods 0m58s

Live demo of tmap

• tmap demonstration 1: loading libraries and data 1m48s
• tmap demonstration 2: making maps, changing palettes 5m22s
• tmap demonstration 3: changing the style 3m03s

Wrapping up

• Summary 1m17s

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Data wrangling with dplyr pipelined workflows lecture

• Introduction 3m50s

Meet the pipe

• A workflow using base R functions 4m41s
• Using pipes instead 4m29s

tidyverse functions

• A big old beast of a dataset 2m17s
• filter 6m56s
• select 6m11s
• mutate 7m51s

Demonstration and wrap

• A workflow to cut that big dataset down to size 3m50s
• Ask for help! 1m20s

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Making maps in R

These are from 2020, but remain relevant today!

Videos supporting each section are linked below. These use a different data set to demonstrate some of the ideas. You can download that dataset here, if you’d like to try following along. Video ‘cuts’ might overlap a little.

Introduction

• Lab intro (4:33 min)

Selecting and tidying the data

• Filtering and selecting data (6:07 min)
• Mutating data (3:09 min)
• Pipelines (10:17 min)

How to use the tmap functions

• Introduction to tmap (2:58 min)
• Colour palettes 1 (3:15 min)
• Colour palettes 2 (6:36 min)
• The number of classes (3:27 min)
• The classification style (7:24 min)
• Other map frills (2:50 min)