Thesis (Ph. D.)--University of Oregon, 2003. / Typescript. Includes vita and abstract. Includes bibliographical references (leaves 107-113). Also available for download via the World Wide Web; free to University of Oregon users.

In 2010, for the first time since 1895, the Argentine census asked those living within its national territory if they were of African descent. While the inclusion of this question followed broader regional shifts to integrate questions on race and ethnicity into national censuses, this historic disjuncture is most astounding in Argentina. No country in Latin America has more successfully constructed itself as a nation donde no hay negros, where there are no blacks, than Argentina. Through a frame analysis of digital texts produced in Argentina between 2010 and 2012 regarding the new census question, this Master's thesis uncovers how government, media and Afro organizational actors understood the meaning of Afrodescendant and the purposes of the census question. As such, this research seeks to expand research on the African diaspora in the Americas by analyzing how racial politics of identification work in a nation-state of hegemonic whiteness. / text

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The problem of this study was the examination of selected case-finding approaches for locating handicapped individuals. It was designed to (1) determine the rank order of effectiveness of selected case-finding approaches, within specific census tracts, in locating handicapped individuals aged three to to twenty-one years inclusive, (2) to project the most effective case-finding approach within census tract areas with specified factors of mean income, median education level, and primary home language, and (3) to determine the probability of locating handicapped individuals by a case-finding approach other than the one determined to be the most effective.

Stereo vision is a very useful, yet challenging technology for a wide variety of applications. One of the greatest challenges is meeting the computational demands of stereo vision applications that require real-time performance. The FPGA (Field Programmable Gate Array) is a readily-available technology that allows many stereo vision methods to be implemented while meeting the strict real-time performance requirements of some applications. Some of the best results have been obtained using non-parametric stereo correlation methods, such as the rank and census transform. Yet relatively little work has been done to study these methods or to propose new algorithms based on the same principles for improved stereo correlation accuracy or reduced resource requirements. This dissertation describes the sparse census and sparse rank transforms, which significantly reduce the cost of implementation while maintaining and in some case improving correlation accuracy. This dissertation also proposes the generalized census and generalized rank transforms, which opens up a new class of stereo vision transforms and allows the stereo system to be even more optimized, often reducing the hardware resource requirements. The proposed stereo methods are analyzed, providing both quantitative and qualitative results for comparison to existing algorithms. These results show that the computational complexity of local stereo methods can be significantly reduced while maintaining very good correlation accuracy. A hardware architecture for the implementation of the proposed algorithms is also described and the actual resource requirements for the algorithms are presented. These results confirm that dramatic reductions in hardware resource requirements can be achieved while maintaining high stereo correlation accuracy. This work proposes the multi-bit census, which provides improved pixel discrimination as compared to the census, and leads to improved correlation accuracy with some stereo configurations. A rotation-invariant census transform is also proposed and can be used in applications where image rotation is possible.

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Connection between distribution of socio-economic characteristics of population and economy in relation to railway network in Czechoslovakia in 1921 and 1930 Abstract Transport is closely related with social and economic processes in space and they affect each other. History of transport, and economy and history of the population are themes quite well covered. Attempts to synthetically cover history of transport and society and its activities in the space have not been numerous, if any they only referred to certain examples, although the transport, especially rail, is mentioned as an important factor of development. The diploma thesis analyzes statistical dependece of selected demographic and socioeconomic characteristics of national censuses in 1921 and 1930 and economic characteristics and agriculural units in 1930 on rail infrastructure in the Czechoslovak Republic. The key statistical data are selected census results (eg. age of population, literacy and inhabitans in the sector of the national economy), results of census of economic and agricultural units (for example units equipment) at the level of administrative units in Czechoslovakia. Spatial data (maps) are an important source, too. These allow statistical and visualization operations in the GIS. They had to be digitized in order to create map...

A thesis submitted to the Faculty of Humanities in fulfilment of the requirements of the degree of Doctor of Philosophy in Demography and Population Studies, University of Witwatersrand, Johannesburg, South Africa 2016 / Census taking dates back to the era of the Roman Empire as can be drawn from the gospel of Luke Chapter 2, Verses 1-5. Under the Roman rule censuses were conducted to keep records for individuals that were eligible for conscription into the army. Later during the colonial era, censuses were conducted to capture individuals that were eligible to pay tax. Currently censuses are widely used in guiding efficient planning and fair resource allocation. Content error, which refers to recording inaccurate information on captured individuals, and coverage error, i.e. either undercounting or over counting of people in a census, presents challenges in achieving these goals. Coverage error is frequent in censuses, especially undercount, which is of interest in this study. In countries that have a well-documented history of census taking like the United States of America, Canada, and China, there are indications that respective censuses recorded substantial numbers of people that were missed. Nigeria and South Africa are some of the countries in Africa where high undercounts have been recorded in censuses. The latter country, which is the focus of this study, recorded undercount estimates of 10.6%, 17%, and 14.6% in the last three censuses of 1996, 2001, and 2011 respectively. These high undercount estimates were the source of controversies that have been associated with the three censuses. The controversies centred on the accuracy of the Post-enumeration Survey (PES). Critiques argue that the PES has been inaccurate in estimating and adjusting the undercount in the respective censuses. For this reason, the accuracy of both the undercount estimates and adjusted counts drawn from this method has also been contested. [Abbreviated abstract. Open document to view full version] / GR2017

"Classification systems change from census to census for a variety of reasons. The change from 1970 U.S Census to 1980 U.S Census classification was so dramatic that studying the changes and making comparisons are too complicated and expensive. Treating the actual census results as unknown, we simulated a new Census data base reflecting the real situation in 1970 & 1980 classification systems. One of our objective is to explain the process by which codes change so that the researchers can better understand how the new data bases were created. The second objective is to show how this newly created data base is then used to study the comparability of the two classification systems. In this project we do not attempt any estimative or predictive inference. We simply simulate the industry and occupation codes in the U.S. Census public-use samples via a model similar to the one used for multiple imputation."

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.