R Spatial Workshop for 2018 AWRA GIS Conference

Prior to the start of the workshop everyone will need to have the software installed and tested. You will need to have R and RStudio. Get the latest versions of...

R and Spatial Data

This workshop provides an introduction to working with spatial data in R and doing exploratory spatial data analysis (ESDA). Examples of ESDA methods include lagged scatter...

First we need to install several R packages. Note the use of the terms package and library in R - you encounter both, and if you want to...

So, to begin, what is R and why should we use R for spatial analysis? Let’s break that into two questions - first, what is R and why should we...

The sf Simple Features for R package by Edzer Pebesma is a move from the sp S4 or new style class representation of spatial data in R, and...

While there is an sp SpatialGridDataFrame object to work with rasters in R, the prefered method far and away is to use the raster package by Robert...

There are a number of packages available now in R for mapping and in particular interactive mapping and visualization of spatial data - we’ll take a quick look at a...

ESDA focuses on visualizing and summarizing both the statistical and spatial distributions of data, with an emphasis on assessing if sites near each other have similar values of an attribute...