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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