Film, History and Memory

Film, History and Memory examines the relationship between film and history, exploring the multiplicity of ways in which films depict, contest, reinforce or subvert historical understanding. This volume broadens the focus from 'history', the study of past events, to 'memory', the processes – individual, generational, collective or state-driven – by which meanings are attached to the past. This approach acknowledges how the significance of the historical film lies less in its empirical qualities than in its powerful capacity to influence public thinking and discourses about the past, whether by shaping collective memory, popular history and social memory, or by retrieving suppressed or marginalized histories. This study aims to contribute to the growing literature on history and film through the breadth of its approach, both in disciplinary and geographical terms. Contributors are drawn not only from the discipline of history but also film studies, film practice, art history, languages and literature, and cultural studies.

A practical taxonomy of methods and literature for managing uncertain spatial data in geographic information systems

Perfect information is seldom available to man or machines due to uncertainties inherent in real world problems. Uncertainties in geographic information systems (GIS) stem from either vague/ambiguous or imprecise/inaccurate/incomplete information and it is necessary for GIS to develop tools and techniques to manage these uncertainties. There is a widespread agreement in the GIS community that although GIS has the potential to support a wide range of spatial data analysis problems, this potential is often hindered by the lack of consistency and uniformity. Uncertainties come in many shapes and forms, and processing uncertain spatial data requires a practical taxonomy to aid decision makers in choosing the most suitable data modeling and analysis method. In this paper, we: (1) review important developments in handling uncertainties when working with spatial data and GIS applications; (2) propose a taxonomy of models for dealing with uncertainties in GIS; and (3) identify current challenges and future research directions in spatial data analysis and GIS for managing uncertainties.

The validity of classical trajectory and perturbative quantal methods for electron-impact ionization from excited states in H-like ions

To test the validity of classical trajectory and perturbative quantal methods for electron-impact ionization of H-like ions from excited states, we have performed advanced close-coupling calculations of ionization from excited states in H, Li 2+ and B 4+ using the R -matrix with pseudo states and the time-dependent close-coupling methods. Comparisons with our classical trajectory Monte Carlo (CTMC) and distorted-wave (DW) calculations show that the CTMC method is more accurate than the DW method for H, but does not improve with n and grows substantially worse with Z , while the DW method improves with Z and grows worse with n .