I'm interested in characterizing data from a one-dimensional point process... say, testing for stationarity, or measuring the degree of clustering at different length scales. This sounds like a spatial statistics problem but the available tools all seem focused on 2+ dimensional data. Time series methods have the right dimensionality but seem focused on regularly spaced data. Does anyone know of an R package that implements spatial statistics methods for one-dimensional data? So far I've come up pretty dry. -- Dave