IS&T RCS Tutorial - GIS Using Python: xarray (Hands-on)

Xarray is a Python library that has a goal "working with labelled multi-dimensional arrays simple, efficient, and fun!". This tool is often used in the fields like climate science, oceanography, and remote sensing. In these fields one will often work with raster type data that have dimensions representing coordinates (e.g. latitude and longitude) and time (e.g. year or days) and one or more values (e.g. Carbon Dioxide concentration or a heat index value for each cell in the grid). Xarray provides tools to manage, subset, and analyze this type of data by incorporating the use of labels. In this tutorial we will cover the basics on understanding the terminology used to describe the Xarray object and go over on how to get started using xarray. Prerequisite: Basic programming in Python and some understanding of numpy.