Recently, I was working with a colleague on a project involving time series observations of neighborhoods in Los Angeles. We wanted to see if there were patterns in the time series data that described how similar neighborhoods evolved in time. For multivariate data, this is a great application for unsupervised ...
Here, I present a simple graphical tool in R for visual detection and statistical testing of a trend among group means, where the groups are (usually) quantiles. I argue this is a good tool for exploratory data analysis as it allows non-linear trends to be detected.
The Q Method is a mixed method that combines a survey of individuals with factor analysis to determine what distinct perspectives are embedded in a population. In a class on urban sustainability, I demonstrated how this method can be used to reveal students' diverse perspectives on issues about which we assume they mostly agree.
In working with linear fixed-effects panel models, I discovered that I had to develop goodness-of-fit tests and diagnostics on my own, as the libraries for working with these kinds of models haven't progressed that far yet.
Fine-grained customization of citation styles in LaTeX's default bibliography environment can be hard to achieve. Here, I'll describe an alternative to the standard bibliography environment that I found for style customization without sacrificing the raw power of LaTeX.
I experimented with Bayesian networks for land cover classification in the Detroit metro area using census data as predictors. An example of using Bayesian networks for land cover classification in R is presented with code samples.