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Introduction to Maps in R Shiny and Leaflet

Features Includes:
  • Self-paced with Life Time Access
  • Certificate on Completion
  • Access on Android and iOS App

Course Preview Video

  • Author

    Edwin

  • Categories

    All Development

  • Duration

    02:20:45

  • 0 Students Enrolled

Description

Welcome to the Introduction to Maps in R Shiny and Leaflet course. In this course we will be

creating a fully functional web gis application using the R programming language. This application

will be comprised of different types of maps ranging from point maps to heatmaps, to choropleth maps.

We will also be using different datasets ranging from dataframes to spatial dataframes, which we

will use to transform and visualize our data on different types of maps, depending on the use case.

Once we have completed the course we will be equipped with extremely valuable skills, that we can

use to build sophisticated web map applications of any kind and tell spatial data stories that almost anyone

can interpret and understand.

Some of the skills you will acquire from taking this course range from:

  • Working with spatial data in the R programming language
  • Installing and using R studio
  • Using the leaflet web mapping library
  • Creating a variety of maps and integrating it into a single application
  • Building a dashboard in R Shiny
  • Creating map legends and colour palettes
  • Styling maps using embedded html functions
  • Working with dataframes
  • Using R terminal operations

Who this course is for:

  • R programmers at any level
  • GIS Developers at any level
  • Developers at any level
  • An interest in spatial data story telling through Maps
  • Anyone who wants to learn GIS programming using R
  • The curious mind

Basic knowledge
  • Little or no understanding of GIS
  • Basic understanding of dataframes
  • Very basic understanding of programming
  • Very basic understanding of R programming
  • Be able to install and setup R Studio

What will you learn
  • R Programming
  • Web Mapping
  • Web GIS Programming
  • Working with dataframes
  • Web mapping with the Leaflet library
  • Building a GIS application 
Course Curriculum
Number of Lectures: 20 Total Duration: 02:20:45
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