In today’s lab, we will be looking at some of the more fundamental exploratory analysis tools. Cluster Analysis (using K-Means), and Quadrat Analysis. K-Means Clustering Clustering algorithms are useful for separating data into groups with Read more…
Principal Component Analysis Eigenvectors, Eigenvalues, Identity Matrices It is helpful to have some background in linear algebra. For our purposes, though, we’ll start with a remote sensing example. A visual example To start our exploration Read more…
Working with spatial data sf & sp packages The tools for handling spatial data in R were built around the SP package. However, recently, the sf (simple features) package has been developed to conform with Read more…