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Creating Maps with R

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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.


01 - Introduction
  • 01 - Why create maps with R
  • 02 - Base knowledge
  • 03 - GitHub repository and exercise files

  • 02 - 1. Mapping Fundamentals
  • 01 - How to choose a map
  • 02 - Geo marker and scatter plots
  • 03 - Geo bubble charts
  • 04 - Choropleth Shaded area maps
  • 05 - Hexbin maps or hexagonally binned choropleth
  • 06 - Dot density
  • 07 - Cartograms Distorted area maps

  • 03 - 2. Processing GIS Data from Excel
  • 01 - Standardize country names with {countrycode}
  • 02 - Join shapefiles with data in Excel files
  • 03 - Convert addresses to coordinates with geocoding
  • 04 - Challenge Geolocate all US state capitol buildings
  • 05 - Solution Geolocate all US state capitol buildings

  • 04 - 3. Working with GIS Data Formats
  • 01 - GIS data formats Raster or vector
  • 02 - Vector GIS data sf and sp
  • 03 - Work with sf datasets and the tidyverse
  • 04 - Challenge Visualizing continent populations
  • 05 - Solution Visualizing continent populations

  • 05 - 4. Static Maps with ggplot2
  • 01 - Use geom_sf to visualize geo locations
  • 02 - ggplot2 choropleth and continuous data
  • 03 - ggplot2 choropleth and discrete data
  • 04 - Label maps with ggrepel package
  • 05 - Zoom into regions with coords_sf()
  • 06 - Transform CRS with coord_sf()
  • 07 - Challenge Label a geobubble chart of Germany's biggest cities
  • 08 - Solution Label a geobubble chart of Germany's biggest cities
  • 09 - Challenge Visualize state coastline length with choropleth
  • 10 - Solution Visualize state coastline length with choropleth

  • 06 - 5. Interactive Maps with Leaflet
  • 01 - The basics of using Leaflet
  • 02 - Use Leaflet to visualize geo locations
  • 03 - Add labels and pop-ups to Leaflet maps
  • 04 - Leaflet choropleth and continuous data
  • 05 - Leaflet choropleth and discontinuous data
  • 06 - Set a background color with leaflet.extras
  • 07 - Challenge Add pop-up labels to a map of German cities
  • 08 - Solution Add pop-up labels to a map of German cities
  • 09 - Challenge Interactive choropleth of state coastline length
  • 10 - Solution Interactive choropleth of state coastline length

  • 07 - 6. CRS, Projections, and Map Tiles
  • 01 - Base maps and tiles
  • 02 - What are projections and CRS
  • 03 - Geographics vs. projected CRS
  • 04 - How to choose CRS and use them with {sf}

  • 08 - Conclusion
  • 01 - What else can you learn about creating maps in R
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    تاریخ انتشار: 23 دی 1401
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