Just In Time: defining historical chronographics

The paper is historical in two respects, both concerned with visual representations of past time. Its first purpose is to enquire how visual representations of historical time can be used to bring out patterns in a museum collection. A case study is presented of the visualisation of data with sufficient subtlety to be useful to historians and curators. Such a visual analytics approach raises questions about the proper representation of time and of objects and events within it. It is argued that such chronographics can support both an externalised, objectivising point of view from ‘outside’ time and one which is immersive and gives a sense of the historic moment. These modes are set in their own historical context through original historical research, highlighting the shift to an Enlightenment view of time as a uniform container for events. This in turn prompts new ways of thinking about chronological visualisation, in particular the separation of the ‘ideal’ image of time from contingent, temporary rendered views

Knowledge Cities

“Knowledge Cities” tries to disentangle the myths from the realities of the Knowledge Economy. It argues for a wider definition of the knowledge economy, beyond a simple definition based around ICT and biotechnology and including the creative industries, the public sector and manufacturing. With the right policies in place, there is no reason why the knowledge economy should be characterised by growing inequality

Comparing Data Quality and Cost from Three Modes of On-Board Transit Passenger Surveys

This report presents the findings from a research project investigating the relative data quality and administration costs for three different modes of surveying bus passengers that produce results generalizable to the full passenger population. The three modes, all of which used survey methods distributed or administered onboard the transit vehicle, were: self-complete paper surveys, self-complete online surveys, and interviewer-assisted tablet-based surveys. Results from this study indicate several implications for practitioners choosing a survey mode. First, and most importantly, the analysis reinforces the point that there is no single, best survey mode. The choice of mode must depend on an agency’s priorities for what questions most need to be answered, what population groups are most important to represent, and exactly how the agency chooses to define concepts like a “complete” survey or a “usable” address. Findings suggest several general recommendations for current survey practice: (1) online surveys administered via an invitation distributed on the transit vehicle are not a good option; (2) old-fashioned, low-tech paper survey may still be the best option for many bus passenger surveys; (3) changes in survey results that accompany changes in survey methods should be interpreted with caution; and (4) using a new survey method, especially one relying on more complex technologies, may create unexpected glitches

Uncertainty quantification of coal seam gas production prediction using Polynomial Chaos

A surrogate model approximates a computationally expensive solver. Polynomial Chaos is a method to construct surrogate models by summing combinations of carefully chosen polynomials. The polynomials are chosen to respect the probability distributions of the uncertain input variables (parameters); this allows for both uncertainty quantification and global sensitivity analysis. In this paper we apply these techniques to a commercial solver for the estimation of peak gas rate and cumulative gas extraction from a coal seam gas well. The polynomial expansion is shown to honour the underlying geophysics with low error when compared to a much more complex and computationally slower commercial solver. We make use of advanced numerical integration techniques to achieve this accuracy using relatively small amounts of training data

Knowledge Cities

“Knowledge Cities” tries to disentangle the myths from the realities of the Knowledge Economy. It argues for a wider definition of the knowledge economy, beyond a simple definition based around ICT and biotechnology and including the creative industries, the public sector and manufacturing. With the right policies in place, there is no reason why the knowledge economy should be characterised by growing inequality

The determinants of aggregate domestic merger activity for companies listed on the Johannesburg Stock Exchange

Mergers and acquisitions remain a constant feature of both the local and international markets, but little is definitely know about what determinants of aggregate merger activityThe aim of this research report is to evaluate the dynamic relationship between a selected number of determinants and aggregate merger activity. We limited our selection of determinants to either macroeconomic or market factors, and limited our acquirers listed on the Johannesburg Stock Exchange.We defined aggregate merger activity using three measures, namely, quarterly deal frequency, quarterly deal value and a relative measure, which took the ratio of deal value over the JSE All Share Index. We utilised Gross Domestic Product, the Repurchase Rate, Consumer Price Index (CPI) and Producer Price Index (PPI) as our macroeconomic variables. Our market variables were the JSE All Share Index, the All Bond Index and the USD/ZAR Foreign Exchange Rate. Employing the appropriate data transformations, unit root, regression analysis and cointegration tests we were able to statistically test for the hypothesized relationships.Results indicated that only the Repurchase Rate was applicable in explaining the variation in the deal frequency variable, while none of the chosen determinants were significant in explaining the variation in the deal value and relative deal value measures. Overall, we found in all three cases that the fitted regression model did not explain the variation in our aggregate merger measure well.On a long-term equilibrium basis, we found that the All Bond Index and CPI were cointegrated with the deal frequency measure. The deal value measure had a long-term equilibrium relationship with the JSE All Share Index, while the relative deal value measure had a long term equilibrium relationship with the All Bond Index, CPI and PPIDissertation (MBA)--University of Pretoria, 2012.Gordon Institute of Business Science (GIBS)unrestricte