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Introduction to Maps in R Shiny and Leaflet

person icon Edwin Bomela

4.2

Introduction to Maps in R Shiny and Leaflet

Building web map applications like a pro

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Edwin Bomela

category icon Data Science,R Programming

Lectures -20

Resources -1

Duration -2 hours

4.2

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Course 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

Goals

What will you learn in this course:

  • R Programming

  • Web Mapping

  • Web GIS Programming

  • Working with dataframes

  • Web mapping with the Leaflet library

  • Building a GIS application

Prerequisites

What are the prerequisites for this course?

  • 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

Introduction to Maps in R Shiny and Leaflet

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction
1 Lectures
  • play icon Introduction 08:51 08:51
Installation and Setup
1 Lectures
Tutorialspoint
Creating the Earthquake OSM Map
6 Lectures
Tutorialspoint
Creating the Earthquake Dark Map
4 Lectures
Tutorialspoint
Creating the Heatmap
2 Lectures
Tutorialspoint
Creating the Choropleth Map
5 Lectures
Tutorialspoint
Project Source Code
1 Lectures
Tutorialspoint

Instructor Details

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Edwin Bomela

Big Data Engineering and Consulting, involved in multiple projects ranging from Business Intelligence, Software Engineering, IoT and Big data analytics. Expertise are in building data processing pipelines in the Hadoop and Cloud ecosystems and software development.

Currently consulting at one of the top business intelligence consultancies helping clients build data warehouses, data lakes, cloud data processing pipelines and machine learning pipelines. The technologies he uses to accomplish client requirements range from Hadoop, Amazon S3, Python, Django, Apache Spark, MSBI, Microsoft Azure, SQL Server Data Tools, Talend and Elastic MapReduce.

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