Learn to work with GIS data using R
A great course for new users of GIS and spatial data and R.
Happy summer! I’ve been spending a LOT of time on the beach and it’s been magical. My favourite thing to do is buy tiny squashes from my local farmers markets which are promptly forgotten at the back of my fridge until I realize they’re there but by then they’ve taken up a new colony of fungi and promptly go in the compost, all for the low price of $7. I’m also on my third attempt this year to permanently give up caffeine so that’s been fun.
I hope your summer has been going just as well. I’ve also been productive! I’ve created a new course to teach people how to program in R. See details below.
Working with spatial data, like shape files and rasters, can be intimidating. Learning to code with spatial data can be even more intimidating! But it doesn’t need to be. I have spent a lot of time over the past couple of years teaching people how to work with and create spatial data in an R environment.
Over the last couple of months, I decided to combine all of this into a single course called “Spatial data and geographic information systems (GIS) in R.” I designed this course to teach you how to navigate the complex world of geospatial data using the versatile R programming language. I’ve currently set the course price at a significant discount, so if you’re really looking to skill up, this would be a great opportunity.
This course is broken down into four modules. Here’s an overview of what you’ll learn:
Introduction to R
This course is perfect if you’re new to R and you haven’t programmed before. You will learn all the basics you need to complete the work and homework.
Importing data into R
Modifying and creating data
Working with dataframes (filtering, renaming, reducing, etc.)
Basic statistics
Vector Data
In the second module, we learn how to work with vector data. This includes points, lines and polygons. You will learn how to work with existing data to answer your questions, as well as create and export new data. We will use data from the last Canadian census, a New York City squirrel survey across Central Park (so cute!) as well as road network data across Toronto, Ontario.
Import, modify, and export shapefiles
Calculate statistical parameters on vector data
Create new vector data
Raster Data
In this module, you learn all the basics of working with raster data. You will learn the structure of this data format, as well as how to calculate important environmental indices using existing, freely available raster data.
Calculate environmental parameters such as air pollution, land surface temperature, and NDVI using raster data
Create your own raster data
Run summary statistics on raster data
Mapping and visualization
In the final module, you learn how to create maps. This includes static maps (suitable for a school report) as well as interactive maps that you can put on a website or application. For example, we will map out the population across each country in the world through an interactive leaflet map. Additionally, we will plot the locations of squirrels across Central Park, and add widgets where you can see the colour and age of each squirrel.
There is currently a promotion going on in which you can sign up and gain full access to the course for $54.99 USD.
And if you haven’t subscribed already, it’s super easy to do, just type your email into the link below.