Precision-recall operating characteristic (P-ROC) curves in imprecise environments

Traditionally, machine learning algorithms have been evaluated in applications where assumptions can be reliably made about class priors and/or misclassification costs. In this paper, we consider the case of imprecise environments, where little may be known about these factors and they may well vary significantly when the system is applied. Specifically, the use of precision-recall analysis is investigated and compared to the more well known performance measures such as error-rate and the receiver operating characteristic (ROC). We argue that while ROC analysis is invariant to variations in class priors, this invariance in fact hides an important factor of the evaluation in imprecise environments. Therefore, we develop a generalised precision-recall analysis methodology in which variation due to prior class probabilities is incorporated into a multi-way analysis of variance (ANOVA). The increased sensitivity and reliability of this approach is demonstrated in a remote sensing application.

Dilemmas in Framing Research Studies in Engineering Education

There has been considerable debate about the need for more empirical, evidence based studies of the impact of various interventions and practices in engineering education. A number of resources including workshops to guide engineering faculty in the conduct of such studies have emerged over recent years. This paper presents a critique of the evolution of engineering education research and its underlying assumptions in the context of the systemic reform currently underway in engineering education. This critique leads to an analysis of the ways in which our current understanding of engineering, engineering education and research in engineering education is shaped by the traditions and cultural characteristics of the profession and grounded, albeit implicitly, in a particular suite of epistemological assumptions. It is argued that the whole enterprise of engineering education needs to be radically reconceptualized. A pluralistic approach to framing scholarship in engineering education is then proposed based on the principles of demonstrable practicality, critical interdisciplinarity and holistic reflexivity. This new framework has implications for engaging and developing faculty in the context of new teaching and learning paradigms, for the evaluation of the scholarship of teaching and for the research-teaching nexus.

The global sports-media nexus: Reflections on the 'Super League Saga' in Australia

Despite the social and (increasingly) commercial significance of sport and sporting bodies worldwide, they remain under-represented in the mainstream management literature. One of the more recent and dramatic examples of the global sports-media nexus is the 'Super League saga' in Australia. This paper recounts the tale of the Super League saga, providing a holistic analysis of the events and competitive issues arising by drawing on literatures concerning the economic nature and value of sports leagues, the resource-based view of the firm and the nature of psychological contracts in changing environments. The analysis confirms the general monopolistic tendencies of professional sports leagues in an increasingly global industry driven by the sports-media nexus, in accord with a number of comparable cases internationally. The particular conditions of the Australian marketplace that exacerbate this tendency beyond, for example, that found in the USA, and differences in the outcomes of battles between rival leagues are also considered. The Super League saga portrays the importance of effective management of resources key to the production of the 'rugby league product' including, among others, the often over-looked importance of careful management of local resources for the success of global strategies, and, where human resources are key, the importance of psychological contracting. The holistic analysis of the Super League saga in Australia affords lessons that extend well beyond the realm of sports.

Monitoring the composition and form of urban environments based on the vegetation-impervious surface-soil (VIS) model by sub-pixel analysis techniques

The majority of the world's population now resides in urban environments and information on the internal composition and dynamics of these environments is essential to enable preservation of certain standards of living. Remotely sensed data, especially the global coverage of moderate spatial resolution satellites such as Landsat, Indian Resource Satellite and Systeme Pour I'Observation de la Terre (SPOT), offer a highly useful data source for mapping the composition of these cities and examining their changes over time. The utility and range of applications for remotely sensed data in urban environments could be improved with a more appropriate conceptual model relating urban environments to the sampling resolutions of imaging sensors and processing routines. Hence, the aim of this work was to take the Vegetation-Impervious surface-Soil (VIS) model of urban composition and match it with the most appropriate image processing methodology to deliver information on VIS composition for urban environments. Several approaches were evaluated for mapping the urban composition of Brisbane city (south-cast Queensland, Australia) using Landsat 5 Thematic Mapper data and 1:5000 aerial photographs. The methods evaluated were: image classification; interpretation of aerial photographs; and constrained linear mixture analysis. Over 900 reference sample points on four transects were extracted from the aerial photographs and used as a basis to check output of the classification and mixture analysis. Distinctive zonations of VIS related to urban composition were found in the per-pixel classification and aggregated air-photo interpretation; however, significant spectral confusion also resulted between classes. In contrast, the VIS fraction images produced from the mixture analysis enabled distinctive densities of commercial, industrial and residential zones within the city to be clearly defined, based on their relative amount of vegetation cover. The soil fraction image served as an index for areas being (re)developed. The logical match of a low (L)-resolution, spectral mixture analysis approach with the moderate spatial resolution image data, ensured the processing model matched the spectrally heterogeneous nature of the urban environments at the scale of Landsat Thematic Mapper data.