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Visualizing Geospatial Data in R

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$12

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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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.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Introduction to R

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Introduction to Data Visualization with ggplot2

What You Will Learn

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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

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

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

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

Course Instructors

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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...

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Course Cover

$12

$6

49% OFF

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