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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The purpose of this research is to observe and analyze trends in Canada's metropolitan and non-metropolitan age structure by comparing census years 1971 and 1981. In an effort to identify salient temporal and spatial trends, two types of analyses will be conducted: the index of age diversity and the cluster analysis. These analyses will be applied to age data taken from the 1971 and 1981 censuses. Twenty-five metropolitan areas and ten non-metropolitan areas were used and aggregated provincially. The age structure was divided into seven age groups. The research shows that variations In conditions over space and time affect age composition to some extent. Although the degree of diversity may be similar, the internal age composition may be different. The research will also invalidate the claim that city size is correlated with their index of age diversity. factors such as fertility, changes in the role of women, increases in life expectancy, sex ratios, marital status, migration, and cultural practices are offered as determinants of age composition and change. / Thesis / Master of Arts (MA)

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."