‘The greatest loss was a loss of our history’: natural disasters,marginalised identities and sites of memory

This paper examines intersections between space, materiality, memory and identity in relation to lesbian and gay experiences of recent disasters in Australia. Drawing on interviews with lesbians and gay men in two disaster sites, the paper argues that disaster impacts may include the loss of sites of memory that inform and underpin the formation and maintenance of marginalised identities. We explore the ways in which social marginality is experienced by sexual minorities during disasters as a result of threats to sites of lesbian and gay memory. The paper contributes to scholarship in geographies of memory by investigating the impacts of disasters on how memory is spatially located and experienced.     

Application of X-ray fluorescence imaging to ceramics from the American Southwest

We have used synchrotron-based X-ray fluorescence imaging (XRFI) to examine sherds of painted ceramics from prehistoric cultures of the American Southwest. These sherds are very well suited to XRFI analysis. Paints can generally be detected and distinguished by the fluorescence intensities of their constituent elements. Spatial maps of element distributions yield the spatial distribution of pigments. Pigments can be distinguished that are (or have become) visually similar; layers that have been obscured by overpainting can be examined; and pigment residues can be distinguished from surface contaminants deposited after painting and firing. As a result, XRFI allows the painted motifs to be clarified and hidden features to be revealed. Furthermore, the very rapid scanning and high sensitivity elemental detection possible with synchrotron-based XRFI facilitate measurements on large collections of sherds, allowing an integrative rather than anecdotal analysis.     

The Statistical Modeling of Flow Data When the Poisson Assumption Is Violated

The Poisson model typically provides a poor fit to flow data but more complex models are difficult to operationalize, especially with production or attraction constraints. Quasi- and pseudo-likelihood approaches retain the attractive computational features of the Poisson model. A shopping model example suggests the latter approach to be preferable.