Geoff Cunfer’s “Scaling the Dust Bowl” won’t teach you how to create a GIS or draw a map (it presents the results of his research, not how it unfolded step by step). But it is an excellent demonstration of the interest of maps from data exploration. Maps are sometimes used to show something that numbers would better demonstrate. Here, on the contrary, specific spatial patterns matter. In fact, what we like even more in this paper is the way it weaves together the quantitative and spatial analysis with a thorough, really “humanistic” discussion of different sources on the Dust Bowl, what they show and what they hide. The author’s results contradict received knowledge: he does not stop there but investigates where this knowledge came from and how to make sense of it.
Here, we have too many options! As a relatively recent, marginal technique, promoted by sociologists who like fine-grained descriptions and thinking about time, sequence analysis has produced many papers that we like – not just because they explain the technique rather clearly, but because they tend to care about their sources and categories. So if you want to read just one paper after reading our overview, you should choose among the following depending on your substantive research interests. They are all clear and accessible as regards sequence analysis per se. Continue reading “Favorite papers in sequence analysis”