Hands On Training

Spatial Analysis with sf and raster in R

Name: Spatial Analysis with sf and raster in R
Brand: Careervira
Price: 74 USD
Availability: InStock
Rating: 5.0 (3 reviews)

DataCamp

(3)

Course Report

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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

R is an excellent tool for spatial analysis. The new sf package makes vector analysis in R easy. You no longer need to do spatial analysis in GIS software such as ArcGIS or QGIS. Or convert your results into another system. Now you can move all your spatial analysis workflows into R. Learn how buffering, spatial joins, and computing intersections are used to geoprocess vectors. It will be possible to simplify distance measurement. Raster can be used to reclassify, crop, mask, extract and crop data. The last chapter of this course will teach you how to create R maps using the ggplot2 and tmap packages. This chapter also shows you how to do a mini-analysis which combines all your new skills.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Visualizing Geospatial Data in R

What You Will Learn

Analyze spatial data using the sf and raster packages

You will read in spatial data, manipulate vectors using the dplyr package and learn how to work with coordinate reference systems

You'll also learn how to perform geoprocessing of vectors including buffering, spatial joins, computing intersections, simplifying and measuring distance

With rasters, you will aggregate, reclassify, crop, mask, and extract. The last chapter of the course is devoted to showing you how to make maps in R with the ggplot2 and tmap packages and performing a fun mini-analysis that brings together all your new s

Course Content

Expand all sections

Module 1: Vector and Raster Spatial Data in R

Module 2: Preparing layers for spatial analysis

Module 3: Conducting spatial analysis with the sf and raster packages

Module 4: Combine your new skills into a mini-analysis

Course Instructors

Zev Ross

President, ZevRoss Spatial Analysis

Zev is the President of ZevRoss Spatial Analysis, a company that focuses on data science, machine learning, and development of data applications with a focus on spatial data. He is the author or co-a...

Course Reviews

Average Rating Based on 3 reviews

5.0

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