Introduction to Maps in R Shiny and Leaflet
Building web map applications like a pro
Lectures -20
Resources -1
Duration -2 hours
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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
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
- Introduction 08:51 08:51
Installation and Setup
1 Lectures
Creating the Earthquake OSM Map
6 Lectures
Creating the Earthquake Dark Map
4 Lectures
Creating the Heatmap
2 Lectures
Creating the Choropleth Map
5 Lectures
Project Source Code
1 Lectures
Instructor Details
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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