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Creating Maps with R

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Charlie Joey Hadley

2:31:47

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  • 01 - Why create maps with R.mp4
    00:46
  • 02 - Base knowledge.mp4
    01:16
  • 03 - GitHub repository and exercise files.mp4
    01:43
  • 01 - How to choose a map.mp4
    05:40
  • 02 - Geo marker and scatter plots.mp4
    02:55
  • 03 - Geo bubble charts.mp4
    02:07
  • 04 - Choropleth Shaded area maps.mp4
    02:39
  • 05 - Hexbin maps or hexagonally binned choropleth.mp4
    03:25
  • 06 - Dot density.mp4
    02:31
  • 07 - Cartograms Distorted area maps.mp4
    01:28
  • 01 - Standardize country names with {countrycode}.mp4
    01:18
  • 02 - Join shapefiles with data in Excel files.mp4
    05:01
  • 03 - Convert addresses to coordinates with geocoding.mp4
    07:49
  • 04 - Challenge Geolocate all US state capitol buildings.mp4
    00:45
  • 05 - Solution Geolocate all US state capitol buildings.mp4
    03:23
  • 01 - GIS data formats Raster or vector.mp4
    02:40
  • 02 - Vector GIS data sf and sp.mp4
    01:20
  • 03 - Work with sf datasets and the tidyverse.mp4
    03:52
  • 04 - Challenge Visualizing continent populations.mp4
    00:36
  • 05 - Solution Visualizing continent populations.mp4
    02:35
  • 01 - Use geom_sf to visualize geo locations.mp4
    05:53
  • 02 - ggplot2 choropleth and continuous data.mp4
    06:46
  • 03 - ggplot2 choropleth and discrete data.mp4
    06:14
  • 04 - Label maps with ggrepel package.mp4
    05:14
  • 05 - Zoom into regions with coords_sf().mp4
    03:37
  • 06 - Transform CRS with coord_sf().mp4
    02:25
  • 07 - Challenge Label a geobubble chart of Germany's biggest cities.mp4
    00:32
  • 08 - Solution Label a geobubble chart of Germany's biggest cities.mp4
    04:45
  • 09 - Challenge Visualize state coastline length with choropleth.mp4
    00:33
  • 10 - Solution Visualize state coastline length with choropleth.mp4
    04:11
  • 01 - The basics of using Leaflet.mp4
    02:57
  • 02 - Use Leaflet to visualize geo locations.mp4
    05:41
  • 03 - Add labels and pop-ups to Leaflet maps.mp4
    05:06
  • 04 - Leaflet choropleth and continuous data.mp4
    06:17
  • 05 - Leaflet choropleth and discontinuous data.mp4
    06:03
  • 06 - Set a background color with leaflet.extras.mp4
    01:25
  • 07 - Challenge Add pop-up labels to a map of German cities.mp4
    00:35
  • 08 - Solution Add pop-up labels to a map of German cities.mp4
    06:04
  • 09 - Challenge Interactive choropleth of state coastline length.mp4
    00:39
  • 10 - Solution Interactive choropleth of state coastline length.mp4
    06:20
  • 01 - Base maps and tiles.mp4
    06:17
  • 02 - What are projections and CRS.mp4
    02:36
  • 03 - Geographics vs. projected CRS.mp4
    02:33
  • 04 - How to choose CRS and use them with {sf}.mp4
    04:23
  • 01 - What else can you learn about creating maps in R.mp4
    00:52
  • Description


    If you need to learn more about creating maps with R, this beginner-friendly course introduces an end-to-end mapping workflow and shows you how to import your data directly from Excel to create both static and interactive maps. Instructor Charlie Joey Hadley explains mapping fundamentals, like geo markers, scatter plots, hexbin maps, cartograms, and more. Charlie walks you through processing GIS data from Excel and working with GIS data formats such as raster, vector, sf, and sp. She demonstrates how to create, label, and transform static maps with ggplot2, then dives into building interactive, mobile-ready maps using Leaflet, an HTML widget package for creating interactive maps with R. Plus, Charlie covers base maps and tiles, projections, the Coordinate Reference System (CRS), and more.

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    Focused display
    Charlie Joey Hadley
    Charlie Joey Hadley
    Instructor's Courses
    I'm extremely pleased to split my time between being a Data Coach at Admiral Group and as an independent data science training consultant. I've been working in data science and developing data curricula in some capacity since 2012, from redesigning Wolfram's programming training courses to building a data visualisation service at University of Oxford and now as the very first Data Coach in Admiral's UK Data Academy. I'm also a Visiting Lecturer at BCU delivering their Data Science for Healthcare Applications Masters' module.
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 45
    • duration 2:31:47
    • Release Date 2022/11/26