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…
Basic Analytics in R data.frames and tibble When working with tabular data, generally each row represents a record of the phenomena of interest (such as a spatial object, a person…) and each columns represents an Read more…