This study analyses the 1996 South African population census from a feminist perspective by focusing on the questions pertaining to the household. It considers the issue of gender power relations operating at the level of the household and challenges the underlying patriarchal ideology embedded in the census itself. The study into households is situated within the context of current development discourse and practice, and is premised on the role of the census as a key national resource providing information on all sectors of society. Individual structured interviews were carried out with members of the census task team who provided valuable insight into the process of census making. Interviews with academics and activists working on gender issues were also conducted. A semi-structured focus group discussion was conducted with five women living in the Molweni district in KwaZulu-Natal in August 1998 to gather information on productive, reproductive and community managing work and activities. The study makes an argument about the importance of including unpaid reproductive work in our national statistics. The census questionnaire is analysed and a few adjustments are recommended that may allow for the inclusion of unpaid, reproductive labour in the national statistical system. / Thesis (M.A.)-University of Natal, Durban, 2001.

This thesis defines a novel and intuitive method to visually represent attribute uncertainty, and spatial boundary uncertainty generated from choropleth maps. Like all data, it is not possible to know exactly how far from the truth spatial data used for choropleth mapping is. When spatial data is used in a decision-making context a visual representation of data correctness may become a valuable addition. As an example, the visualisation of uncertainty is illustrated using choropleth mapping techniques superimposed on New Zealand 2001 census data, but other spatial datasets could have been employed. Both attribute and spatial uncertainty are considered, with Monte Carlo statistical simulations being used to model attribute uncertainty. A visualisation technique to manage certain choropleth spatial boundary issues (i.e. the modifiable areal unit problem - MAUP) and uncertainty in attribute data is introduced, especially catering for attribute and choropleth spatial boundary uncertainty simultaneously. The new uncertainty visualisation method uses the quadtree spatial data model (SDM) in a novel manner. It is shown that by adapting the quadtree SDM to divide according to uncertainty levels possessed by attributes (associated with areal units), rather than divide on the basis of homogeneous regions (as the original quadtree design was intended), a measure of attribute and choropleth spatial boundary uncertainty can be exhibited. The variable cell size of the structure expresses uncertainty, with larger cell size indicating large uncertainty, and vice versa. The new quadtree SDM was termed the trustree. A software suite called TRUST v1.0 (The Representation of Uncertainty using Scale-unspecific Tessellations) was developed to create square trustree visualisations. The visual appeal and representational accuracy of the trustree was investigated. Representative accuracy and visual appeal increased when using hexagonal tessellations instead of the quadtree�s traditional square tessellation. In particular, the Hexagonal or Rhombus (HoR) quadtree designed by Bell et al. (1989) was used to programme TRUST v1.1. Using the HoR quadtree in rhombic mode (TRUST v1.1.1) produced Orbison�s optical illusion, so it was disregarded. However, the HoR trustree (the hexagonal tessellation produced by TRUST v1.1.2) was adopted for further research and user assessment. When assessed using an Internet survey, the HoR trustree adequately displayed choropleth spatial boundary uncertainty, but not attribute uncertainty. New trustree visualisations, the value-by-area (VBA) trustree and adjacent HoR trustree were developed to help increase the expression of attribute uncertainty. Upon reassessment, the new trustree visualisations were deemed usable to express attribute uncertainty and choropleth spatial boundary uncertainty at a modest 58% usable (HoR trustree), 80% usable (VBA trustree) and 85% usable (adjacent HoR trustree). A usability test (where participants were asked to spot different levels of uncertainty) validated these results, whereby the HoR trustree achieved a 65% accuracy level and the VBA trustree achieved an 80% accuracy level. The user assessments helped to highlight that the trustree could be used in two ways, to express detail within or clutter over areal units. The HoR trustree showed (1) a level of detail (or resolution) metaphor, where more detail represented more accuracy and/or the reverse, (2) a metaphor of clutter, where the data structure output was sufficiently dense as to cover spatial information, in effect hiding uncertain areas. Further Internet survey testing showed the trustree tessellation works better when representing a metaphor of detail. Attribute and spatial uncertainty can be effectively expressed depending on the tessellation level used. Overall, the new TRUST suite visualisations compare favourably with existing uncertainty visualisation techniques. Some uncertainty visualisation methods consistently performed better than the TRUST visualisations such as blinking areas, adjacent value and non-continuous cartograms. Other methods like colour saturation, image sharpness and a three-dimensional surface frequently performed with less usability. Therefore, the TRUST visualisations have found their place amongst other uncertainty visualisation methods. However, survey results showed that TRUST is a viable option for visualising two forms of uncertainty - attribute and spatial uncertainty. No other visualisation method has these capabilities. Further research could include a laboratory assessment of TRUST and also incorporating vagueness and temporal uncertainty concepts. Additionally, end-user testing could provide a valuable insight into uncertainty visualisation for everyday use. Adopting uncertainty methods to uncertainty, such as the technique presented here, into the mainstream decision making environment could be considered a fundamental objective for future investigation in spatial studies.

Thesis (M.S.)--University of Michigan, 1984. / eContent provider-neutral record in process. Description based on print version record.

Thesis (M.S.)--University of Michigan, 1984. / eContent provider-neutral record in process. Description based on print version record.

Thesis (M.S.)--University of Michigan, 1989.

Thesis (M.S.)--University of Michigan, 1989.

Thesis (M.A.(Demography and Population Studies))--University of the Witwatersrand, Faculty of Humanities, School of Social Sciences, 2016 / BACKGROUND: Under-5 children in KwaZulu-Natal are highly exposed to dying before reaching five years of life. Studies have been conducted to understand the demographic and socioeconomic factors that influence under-5 mortality, both nationally and internationally, with some contradicting findings on the association between some socioeconomic and demographic factors and under-5 mortality. While some studies found child mortality to be significantly associated with rural geographical place of residence, the reverse has also been established. The purpose of this study was to examine the association between socioeconomic and demographic factors and under-5 mortality in KwaZulu-Natal, South Africa. DESIGN: The study was cross-sectional, and utilises 2011 Census secondary data set from Statistics SA. Overall, the census revealed that 55 476 children under the age of 5 had died in the 12 months prior to the census nationally. In KwaZulu-Natal this figure was 15 356. The 10% sample showed that 1 474 under-5 children had died in the same period in KwaZulu-Natal. STATA 12.0 was used for the analysis. Binary logistic regression model was used to examine the association between under-5 mortality and the independent variables. RESULTS: The major findings of the study indicated that (i) male children were 1.22 times more likely to die compared to female children under the age of 5 years; (ii) mothers who had no schooling (AOR=1.82); mothers with primary level of education (AOR=2.43); and mothers with secondary level of education (AOR=1.77), were more likely to experience under-5 mortality compared to mothers with tertiary level education; (iii) mothers whose age at first birth was between 15-19 years (AOR=1.47) and those whose age at first birth was between 25-34 years (AOR=2.14) were more likely to experience under-5 mortality compared to mothers whose age at first birth was between 35-49 years; (iv) Black mothers were more likely to experience under-5 mortality compared to Indian mothers (AOR=5.99); (v) mothers who were employed were 1.22 times more likely to experience under-5 mortality compared to unemployed mothers. Lastly, under-5 mortality was less likely amongst mothers in the medium households compared to those from low income households (AOR=0.65). CONCLUSION: This study found that socioeconomic and demographic factors substantively determine under-5 mortality in KwaZulu-Natal. Evidence from this study suggest that interventions aimed at reducing under-5 mortality should focus on black women, the younger women, the less educated and those with low household income. / MT2017

Errata slip inserted. Bibliography: leaves 282-298. Aims to contribute to a clearer understanding of the nature of current patterns of population change in the peri-urban region; conceptualized as a set of overlapping zones of net growth representing the product of four demographic processes (suburbanisation, counterurbanisation, population retention, centripetal migration). Considers three key aspects of peri-urban growth dynamics in the context of Adelaide's peri-urban region.

A number of mostly informal areas in Nelson Mandela Bay have experienced rapid expansion over the past decade or so. Census data available for these areas is outdated and does not provide enough information for local authorities to accurately plan for tasks such as service delivery management and resource allocation. In this dissertation, a GIS based demographic and Quality of Life study of informal settlements and previously disadvantaged areas within Nelson Mandela Bay is undertaken to address this issue. The study aims to integrate GIS technology into a demographic and Quality of Life survey to significantly improve the collection, analysis, interpretation, display and management of survey data and to provide the accurate and necessary updates required between census collections. Data relating to informal settlements were captured from aerial photographs and satellite imagery and demographic and Quality of Life data were collected from field surveys. The results demonstrated that the use of GIS technology provided more accurate information for demographic variables, including the number of dwellings, dwelling type, size of the population and population dynamics. A specific demographic trend observed through spatial analysis included the identification of backyard shacks predating formal structures in settlements. The analysis and representation of the Quality of Life field survey data in GIS demonstrated how residents' perceptions of problems and issues in their neighbourhoods are better interpreted, understood and managed when analyzed within a spatial context. This research concluded that GIS based demographic and QOL studies are vital for providing accurate social and spatial information for municipalities, particularly in urban environments of developing countries, and for providing the necessary updates to censuses occurring every ten years.

This essay concerns itself with the measurement of poverty. Through a lens of gender sensitivity, combined with three dimensions of gender, this essay analyses the quality of various SDG indicators. The paper has incorporated a methodology based on a qualitative content analysis, this method proves as an excellent way to analyse the strength of indicators relating to the SDG:s, as well as proves to work in symbiosis with the analytical framework of this essay. Through the analysis of this essay, it has been concluded that the instances as the SDG:s measure poverty proves to be insufficient. As the overall quality, combined with in some instances, the quantity of measurement instances holds sub-standard characteristics, the goal of leaving no one behind proves to be quite difficult to overcome.