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Introduction to Maps in R Shiny and Leaflet

Learn to build powerful web map apps! Master mapping technologies and create interactive, custom map solutions. Perfect for developers.

4.3(59)
3,319students
2h 20m
Certificate
EBISYS R&D
EBISYS R&DBig Data Engineering

Course Content

Introduction to Maps in R Shiny and Leaflet is an all-levels Udemy course taught by EBISYS R&D. It runs 2h 20m, is taught in English, and includes a certificate of completion. Learners rate it 4.3 out of 5 from 59 reviews, with 3,319 students enrolled. It is a paid course, last updated June 2020.

Unlock the power of interactive mapping with our Introduction to Maps in R Shiny and Leaflet course! Learn to build fully functional web GIS applications using the versatile R programming language.

This course takes you from the basics to creating compelling visualizations. You'll explore a range of map types, including:

  • Point Maps: Effectively display individual data points.
  • Heatmaps: Visualize data density and patterns.
  • Choropleth Maps: Present data aggregated by geographic regions.

We'll work with diverse datasets, from standard dataframes to specialized spatial dataframes, mastering the techniques to transform and visualize them effectively for different use cases.

By the end of this course, you'll gain highly valuable skills to develop sophisticated web map applications for any purpose. You'll be able to tell impactful spatial data stories that are easily understood by a broad audience.

Key skills you'll acquire:

  • Working with Spatial Data in R: Learn the fundamentals of handling geographic data within the R environment.
  • RStudio Proficiency: Master the use of RStudio, the leading IDE for R development.
  • Leaflet Web Mapping Library: Become proficient in using Leaflet, a powerful JavaScript library for creating interactive maps.
  • Map Integration: Combine various map types into a cohesive and functional application.
  • R Shiny Dashboard Development: Build interactive dashboards to showcase your maps and data.
  • Map Legends & Color Palettes: Create clear and informative map legends and choose effective color schemes.
  • HTML Styling: Customize map appearance using embedded HTML functions.
  • Dataframe Manipulation: Effectively work with and prepare dataframes for mapping.
  • R Terminal Operations: Gain confidence in using the R terminal for efficient data management.

Whether you're a data scientist, analyst, or GIS enthusiast, this course provides the foundation to create impactful and insightful geographic visualizations.

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