Data Structures in R

Before I learned R, I had previously only programmed in Matlab. Matlab and R have comparable options for data types and treat objects very similarly, but R, and specifically the Tidyverse, has this whole other vocabulary for data structures. Understanding the differences between matrices, data frames, and other data structures made learning R easier for… Continue reading Data Structures in R

Vocab Words: Euclidean and Cartesian

Here on Spatially Challenged, I post things people ask me about. The bigger topics (SAGA GIS, data sources, Word tricks, etc.) get turned into series of how-to posts, and the smaller questions inspired a series of vocab posts. Today we're talking about the words Euclidean and Cartesian. Euclidean means "related to Euclid." Euclid was a… Continue reading Vocab Words: Euclidean and Cartesian

Vocab Word: Multicollinearity

I'm going to continue highlighting words I get asked about regularly. Today's feature: multicollinearity! This is a word you've probably heard about in stats class, but might not know specifically what it is or why it matters. We worry about multicollinearity when we are using multiple independent variables to model one output. One of your… Continue reading Vocab Word: Multicollinearity

Defining Common Terrain Derivatives

Last month I shared some ways to calculate terrain derivatives in SAGA, focusing on the Basic Terrain Analysis function. Today I'm going to give you a quick overview of what each derivative means and some of its potential uses. Let's start with the most intuitive ones. Slope is how fast elevation is changing. A higher… Continue reading Defining Common Terrain Derivatives