Introduction to Maps in R Shiny and Leaflet
Introduction to Maps in R Shiny and Leaflet, available at $44.99, has an average rating of 3.55, with 20 lectures, based on 58 reviews, and has 3316 subscribers.
You will learn about R Programming Web Mapping Web GIS Programming Working with dataframes Web mapping with the Leaflet library Building a GIS application This course is ideal for individuals who are R programmers at any level or GIS Developers at any level or Developers at any level or An interest in spatial data story telling through Maps or Anyone who wants to learn GIS programming using R or The curious mind It is particularly useful for R programmers at any level or GIS Developers at any level or Developers at any level or An interest in spatial data story telling through Maps or Anyone who wants to learn GIS programming using R or The curious mind.
Enroll now: Introduction to Maps in R Shiny and Leaflet
Summary
Title: Introduction to Maps in R Shiny and Leaflet
Price: $44.99
Average Rating: 3.55
Number of Lectures: 20
Number of Published Lectures: 20
Number of Curriculum Items: 20
Number of Published Curriculum Objects: 20
Original Price: R849.99
Quality Status: approved
Status: Live
What You Will Learn
- R Programming
- Web Mapping
- Web GIS Programming
- Working with dataframes
- Web mapping with the Leaflet library
- Building a GIS application
Who Should Attend
- 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
Target Audiences
- 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
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
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Installation and Setup
Lecture 1: Installation and Setup
Chapter 3: Creating the Earthquake OSM Map
Lecture 1: Creating your first map
Lecture 2: Creating a menu item
Lecture 3: Adding markers
Lecture 4: Adding circle markers
Lecture 5: Creating a legend
Lecture 6: Adding a layers control
Chapter 4: Creating the Earthquake Dark Map
Lecture 1: Adding the second menu item
Lecture 2: Adding circle markers
Lecture 3: Adding a legend
Lecture 4: Change map based on zoom level
Chapter 5: Creating the Heatmap
Lecture 1: Adding the third menu item
Lecture 2: Adding the heatmap data
Chapter 6: Creating the Choropleth Map
Lecture 1: Adding the fourth menu item
Lecture 2: Downloading and transforming data
Lecture 3: Preparing data for styling
Lecture 4: Creating and styling the choropleth map
Lecture 5: Creating the legend
Chapter 7: Project Source Code
Lecture 1: Source Code
Instructors
-
EBISYS R&D
Big Data Engineering
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 2 votes
- 3 stars: 4 votes
- 4 stars: 17 votes
- 5 stars: 33 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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