In developmental arenas, it is well accepted that multiple observations are needed to obtain a robust characterization of individuals' behavioral tendencies across time and context. In this paper, we fuse core ideas from the study of lifespan development with intraindividual variability based approaches to personality and methods used to characterize the topography of geographic landscapes. We generalize the notion of density distributions into bivariate and multivariate space and draw parallels between the resulting behavioral landscapes and geographic landscapes. We illustrate through an empirical example how multiple time-scale study designs, measures of intraindividual variability, and methods borrowed from geography can be used to describe both an individual's behavioral landscape and changes in the behavioral landscape.
Keywords: ecological momentary assessment; emotional variability; intensive longitudinal data; longitudinal analysis.