Intro to Geospatial with R

...actually, with R but powered by Quarto

Why R or Quarto ?

"If the only tool you have is a hammer, it is tempting to treat everything as if it were a nail" (Abraham Maslow, 1966)

The idea here is to add more tools to your toolbox
Some tasks can be done much more efficiently using one tool or the other
R is useful for much more stuff than statistical computing, e.g., for geospatial and for data science - from data mining, cleaning/wrangling, exploration, ML, to visualization
R was designed to handle tabular data (by the way, geospatial data is also tabular!)
RStudio IDE is ever evolving (and it's free!), but what's an IDE ?
Quarto is where you bring R, Python, and even Jupyter notebooks all together
Quarto makes reproducible analysis easy, e.g., enables you to weave together content and executable code into a finished document (as a html, or a presentation, or pdf, or even a Shiny app)

Show you how to setup your R / Quarto environment so that it's ready to go when you need it
Show you some useful packages (i.e., libraries)
Show you some basic codes and some spatial stuff that R does nicely
Show you how to find the help you need

Install R and RStudio
If you run on Win, it's good to install RTools
Install Quarto
Use Git to have version control (see here for some quick instructions or here for some more detail)
Create a new Rproj
Create a new Quarto document
Welcome to tidyverse and the %>% (i.e., pipe operator)
Get familiar with RStudio, e.g., Help > Cheat Sheets as well as the Help > Keyboard Shortcuts Help