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A COMPLETE 3-Hour Introduction to Spatial and GIS Data in R
Highest Rated
Rating: 4.8 out of 5(20 ratings)
83 students

A COMPLETE 3-Hour Introduction to Spatial and GIS Data in R

Complete real world projects using R and spatial data. No coding experience necessary!
Highest Rated
Created byPriya Patel
Last updated 6/2024
English

What you'll learn

  • Start a GIS and spatial data project from start to finish, completely in R
  • Become prepared to enter the GIS workforce by elevating your geospatial skillset
  • Learn the most popular libraries and tools for working with spatial data in R
  • No prior coding experience needed, you will learn R from scratch.
  • Create beautiful web maps and static maps for your projects
  • Work with a wide variety of spatial data types, including vector and raster data.
  • Learn how to plot and create beautiful maps
  • Hands-on learning with step-by-step code walkthroughs after each lecture
  • Manipulate and summarize raster data to extract information from satellite imagery and other sources

Course content

6 sections • 31 lectures • 3h 19m total length

  • Introduction1:46

Requirements

  • No programming experience needed.

Description

If you are entering the field of GIS and want to learn how to get started with R programming and spatial data, this is the course for you. We go over all the basis of how to work with spatial data in an R environment. This course is designed for academics, consultants and individuals looking to enter the GIS field.

Here are a few examples of the projects you will work on: 

  1. Calculate vegetation across Washington and extract values at points of interest

  2. Interpolate air quality values in areas with missing data

  3. Calculate the average salary across major neighbourhoods using a Census shape file

  4. And more!

By the end of this course you will have learnt the following: 

  1. Work with different data types (vector, raster, etc.)

  2. Conduct GIS analysis

  3. Create beautiful maps

  4. Work with real-world data.

More benefits:

  1. All slides are provided

  2. All spatial data sets are provided

  3. Lifetime access to the course, forever.

No prior experience is necessary - just bring your enthusiasm to learn and an eagerness to harness the power of spatial data. By the end of this course, you'll be equipped with the essential tools to tackle spatial challenges and confidently venture into more advanced data science pathways.

My goal is to help you discover the fascinating intersection of data and location through user-friendly lectures, hands-on exercises, and engaging projects. I will guide you step-by-step, ensuring you feel confident working with Geographic Information Systems (GIS) and exploring diverse spatial datasets.

Who this course is for:

  • Individuals interested in R, GIS, or spatial data science.

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