Hands On Training

Visualizing Geospatial Data in R

DataCamp

(3)

1 Coupon Available

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

You want to get the most value for your money. Where should you buy a house? A map might be the best place to start. Because of the many objects in R, spatial analysis can be difficult.

This course will introduce you to spatial data. The course starts with data frames, which are objects that you already know. It then moves to special objects in the SP and raster packs that are used for representing spatial data in R. Finally it will allow you to use tmap when creating maps.

By the end of the course, you will be able create maps of small towns, North East USA population distributions, North American people distributions, and New York City median income neighborhoods.

Highlights

Pedagogy

Top 1 Percentile

Rating & Reviews

Top 30 Percentile

Parameters

Pedagogy

Acquire all major R Programming skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in R Programming, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs. With a focus on cultivating industry-relevant skills, this course ensures that learners attain a skillset aligned with current industry demands.

Rating & Reviews

This highly acclaimed course is among the top-rated in R Programming, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in R Programming.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

We'll talk about what makes spatial data special and introduce you to the common types of spatial data we'll be working with throughout the course

You'll learn how to explore and subset these objects by exploring a world map

You'll look at some much finer detail datasets, both spatially and demographically

In this chapter you'll follow the creation of a visualization from raw spatial data files to adding a credit to a map

Course Content

Expand all sections

Module 1: Basic mapping with ggplot2 and ggmap

Module 2: Point and polygon data

Module 3: Raster data and color

Module 4: Data import and projections

Course Instructors

Charlotte Wickham

Assistant Professor at Oregon State University

Charlotte is an Assistant Professor in the Department of Statistics at Oregon State University and an avid R programmer with a passion for teaching. Her interests lie in spatiotemporal data, statisti...

Course Reviews

Average Rating Based on 3 reviews

5.0

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