Moran’s I Spatial Autocorrelation The data For this exercise, we will use the Pennsylvania county-level lung cancer counts for 2002. The data are provided by the SpatialEpi package, which we will install for this exercise. Read more…
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…