Psychological Real Estate: Fractured Female Identity in the Victorian Novel

"Psychological Real Estate: Fractured Female Identity in the Victorian Novel" examines the use of domestic space in three Victorian novels, Charlotte Bronte's Jane Eyre (1847), Mary Elizabeth Braddon's Lady Audley's Secret (1862), and George Eliot's Middlemarch (1871-2). Because Victorian gender identity was conceived of in spatial terms, this thesis explores how the three female authors use complicated domestic environments to engage the problem of conventional Victorian femininity. In the Victorian mindset, a woman's place is confined to the home, or private sphere; however, even the private sphere is intruded upon by public spaces. Expected to conform to the Victorian formulation of femininity in public spaces within the home, women had only their private spaces to cultivate the unique, individualistic aspects of their selves. This thesis explores the ways in which the female protagonists negotiate these gender encoded spaces to argue that because Victorian women had to maintain separate and often disparate identities within domestic space, their identities became problematically fractured. Additionally, in each of these texts, the authors use the failure or loss of the estate, the structure which rigidly upholds the gendered binaries, to expose the harm such fracturing identity formulation caused for Victorian society as a whole. This thesis concludes by examining the final residences of the female characters and arguing that the authors use these final private spaces to assert more feminist re-envisionings of their society's construction of femininity.

Victorian Dominant Land Cover, 2009-2013

There is a demand for regularly updated, broad-scale, accurate land cover information in Victoria from multiple stakeholders. This paper documents the methods used to generate an annual dominant land cover (DLC) map for Victoria, Australia from 2009 to 2013. Vegetation phenology parameters derived from an annual time series of the Moderate Resolution Imaging Spectroradiometer Vegetation Indices 16-day 250 m (MOD13Q1) product were used to generate annual DLC maps, using a three-tiered hierarchical classification scheme. Classification accuracy at the broadest (primary) class level was over 91% for all years, while it ranged from 72 to 81% at the secondary class level. The most detailed class level (tertiary) had accuracy levels ranging from 61 to 68%. The approach used was able to accommodate variable climatic conditions, which had substantial impacts on vegetation growth patterns and agricultural production across the state between both regions and years. The production of an annual dataset with complete spatial coverage for Victoria provides a reliable base data set with an accuracy that is fit-for-purpose for many applications.