Some shallow (<7m, water depth) nearshore hardbottom areas of Southeast Florida have been reported to function as important juvenile habitat. I characterized the nearshore fish communities along a 30km stretch of coastline of Broward County, Florida from visual census data. Two-hundred transect-counts, 100 point-counts and 98 rover-diver counts were completed by myself and others during June-August, 2001. The abundance of all fish species and their sizes were recorded. The transects (30m long, 2m wide, 1m high) were laid perpendicular (compass heading 90°) to the innermost edge of hardbottom. Transects were placed every 152m of coastline. Altemately, a point-count or 20 min rover-diver count was also performed over the hard bottom just north of the 30m transect. All counts occurred between approximately 2m and 6m water depth. One hundred-sixty nine species and over 72,000 fish were recorded. Recently settled juveniles (≤ 5cm) were the dominant component (>80%) of the inshore fish community, consisting primarily (>90%) of grunts (Haemulidae).

The purpose of this research was to determine if the integration of census and land cover data could provide evidence of spatial patterns and temporal change for the Upper Tsitsa Catchment. This thesis contributed to academic literature with regards to dasymetric mapping and provided a database for the Ntabelanga and Laleni Ecological Infrastructure Project. The study took place in the Upper Tsitsa Catchment which is located in the north-eastern region of the Eastern Cape and falls within the uMzimvubu Catchment. South Africa National Population Censuses for 2001 and 2011 and the National Land Cover data sets for 2000 and 2013/14 were used to create dasymetric maps depicting demographic changes over time for the catchment area. Spatial statistics were performed on the dasymetric and choropleth map to determine the accuracy of the data that was created. From the results, it was found that although the statistics were skewed, the method was more accurate in displaying the population densities, which was noted during the sampling process of the spatial analysis. It was found that there had been a decrease in the population density within the catchment. This affected the density of several other variables such as population race group, language and employment status statistics as decreases in these values could be due to individuals migrating out of the catchment as well as socio-economic upliftment, such as having better access to services. The use of dasymetric mapping allowed an accurate representation of the population density from the census data to be created. The results of the dasymetric mapping were more accurate as they depicted where the population within the enumeration areas were located, and recognised that some areas were populated while some areas were not. To conclude, it was found that using dasymetric mapping provided reliable and useful data about population density and enables comparison over time.

This dissertation is a comparative analysis of the yeomanry of Forsyth and Hancock counties in Georgia during the ten years prior to the Civil War. The premise argues that definitive characteristics of yeoman culture can only be found in counties that are dominated the yeomanry. Studies that find yeomen in planter dominated counties are defined those yeomen by the institutions that are created by and serve the planter society.

Magister Philosophiae - MPhil / In many countries, an enumeration of all household members remains the most important source of population statistics. According to Statistics South Africa, two population censuses and quite a few household surveys have taken place across the country. The quality of data recorded varies according to the operation. Despite great improvement in data collection and analysis capacities,some of the demographic data provided have not been assessed in terms of quality. The aim of this study was to ascertain the accuracy of demographic data on age and sex collected and the coverage during the population census 2001, General Household Surveys (2004 and 2007), Labour Force Surveys (2005 and 2007) and Community survey 2007 in South Africa. Two methods were applied to assess the quality of data. First, the direct method consists of checking the content and coverage (errors during enumeration, errors of exploitation, concordance in questionnaire). Second, the indirect method lies in the calculation of some indexes, age ratios,sex ratios, graphing of population pyramids and sex ratios curves. The indexes are Whipple’s index, Myer’s index and the Combined index of United Nations. Therefore, the main variables of interest are age, sex, place of residence and ethnic groups. Differentials in the quality according to declaration on age by gender, by ethnic group, by place of residence have been explored. This study has identified some variations in different indexes between 2001 and 2007 and has also evaluated the ethnic, gender and regional differentials. Comparison between indexes of each instrument has been done to measure some variations over years. Also, time-space comparisons were conducted across indexes of different instruments. The quality of data on age was better at national level compared to provincial level. Therefore, based on the measurements and patterns observed in the census and surveys data, the study has made some recommendations on the need for an integrated approach to reduce the gap and improve the quality of declarations on age and sex.

Philosophiae Doctor - PhD / This thesis aims to explore Indian forced migration to the Cape Colony from 1658 to 1834. The forgotten diaspora‘ of its title refers to the first Indians who had come to the shores of South Africa, long before the arrival—between 1860 and 1911—of the indentured Indians. This diaspora has been forgotten, partially because these migrants came as slaves. The author uses data extracted from the newly transcribed Master of the Orphan Chamber (MOOC) series and slave transfers which are housed in the Western Cape Provincial Archives and Records Service (WCARS). The Cape colonial data is considered among the best in the world. Earlier historians such as Victor de Kock, Anna Böeseken, Frank Bradlow and Margaret Cairns, have made us aware of their existence primarily through Transportenkennis and Schepenkennis (transport and shipping information) documents in the Deeds Registry. Not nearly enough, however, is known about these Indian slaves, especially about those who arrived between 1731 and 1834. These lacunae include the number of arrivals; their sex ratios; ages and origins; and the circumstances under which they came. This thesis aims to construct a census of Indian slaves brought to the Cape from 1658 to 1834—along the lines of Philip Curtin's aggregated census of the Trans- Atlantic slave trade, but based on individual case level data coded directly from primary sources. This is the first time the size of the creole population born at the Cape will be established.

L’estimation de fréquence des maladies est nécessaire pour générer des hypothèses étiologiques et évaluer leur l’impact médico-économique. Cependant, il est possible que ces estimations ne reflètent pas uniquement les caractéristiques de fréquence intrinsèque d’une maladie mais aussi de variations dues à des choix méthodologiques qui diffèrent entre études. Cette hypothèse d’une variabilité des fréquences liée à des facteurs méthodologiques a été initialement soulevée par notre premier travail qui visait à estimer la prévalence du syndrome de Gougerot-Sjögren (SGS) primitif au sein de la population française de la Seine-Saint-Denis pendant la période 2007. Malgré une bonne exhaustivité d’identification des cas de 90 % calculée par la méthode de capture-recapture, notre estimation de prévalence de 1,02 cas pour 10 000 habitants est la plus faible estimation de fréquence du SGS primitif publiée dans la littérature à ce jour. En particulier, ce travail a souligné le possible impact des méthodologies de type « recensement » ou « échantillonnage » sur les estimations établies par des études de fréquence. Cette étude a montré aussi pour la première fois une prévalence 2 fois supérieure chez les patients non-européens par rapport aux européens avec des possibles phénotypes distincts. Pour explorer plus en détail l’hypothèse d’une variabilité entre les estimations générées par les approches de « recensement » ou de « échantillon », nous avons réalisé un deuxième travail qui consistait en une méta-analyse de la prévalence de la maladie de Behçet (MB) rapportée par 45 études internationales publiées dans la littérature. Des analyses en sous-groupes et par méta-régression ont montré des variations notables de la prévalence de MB entre zones géographiques mais aussi selon le type d’étude (recensement vs échantillonnage) utilisé. En analyse par méta-régression multivariée, seule la variable « type d’étude » était significativement associée aux valeurs de prévalence de la MB. En conclusion, ces travaux soulignent l’impact de la méthodologie utilisée pour conduire les études de fréquence des maladies. Les différences conceptuelles entre les études de recensement et les études échantillonnage soulevant la question sur la comparabilité des estimations obtenues par ces deux approches. / Estimating the frequency of diseases is of major importance for generating etiologic hypotheses and for assessing their global burden. Although such estimates may reflect the intrinsic frequency characteristics of a disease, they may also reflect variations due to methodological differences between studies. In our first study, we raised this assumption that the variability of disease frequency estimates is linked to methodological factors. This population-based survey aimed at estimating the prevalence of primary Sjögren's syndrome (pSS) in Seine-Saint-Denis, France, during 2007. Despite a high completeness of case-finding, 90%, assessed by capture-recapture analysis, the estimated prevalence of pSS of 1.02 cases per 10,000 adults was the lowest prevalence estimate published in the literature. Also, this study was the first to show a two-fold higher prevalence of pSS in people of non-European than European background and possible ethnicity-related differences in disease phenotypes. In addition, this study highlighted the possible effect of "census" or "sampling" designs on frequency estimates reported from population-based surveys. To explore in more detail the assumption that "census" or "sampling" approaches generate variability in frequency estimates of diseases, we performed a second study, involving a meta-analysis of the prevalence of Behçet's disease (BD) in published reports of 45 international studies. Subgroup and meta-regression analyses showed notable variations in BD prevalence estimates geographically but also by study design (census vs sampling). On multivariate meta-regression analysis, only study design significantly predicted BD prevalence estimates. In conclusion, this thesis highlights the importance of study design in population-based estimates of disease frequency. Conceptual differences between census and sample studies raise questions about the extent to which estimates obtained by either of these two approaches are comparable.

Thesis (M.Sc. (Statistics)) -- University of Limpopo, 2015 / Introduction: The high number of variables from the 2009 General Household Survey is prohibitive to do holistic analysis of data due to high correlations that exist among many variables, making it virtually impractical to apply traditional methods such as multinomial logistic regression. The purpose of this study to identify observed variables that can be explained by a few unobservable quantities called factors, using factor analysis. Methods: Factor analysis is used to describe covariance relationships among 162 variables of interest in the 2009 General Household Survey (GHS) and 2009 Quarterly Labour Force Survey of South Africa (QLFS). Data for the respondents aged 15 years and above was analysed by first applying factor analysis to the 162 variables to produce factor scores and develop models for five core areas: education, health, housing, labour force and social development. Multinomial logistic regression was then used to model educational levels and service satisfaction using identified factor sores. Results: The variability among the 162 variables of interest was described by only 29 factors identified using factor analysis, even though these factors are not measured directly. Multinomial logistic regression (MLR) analysis showed negative and significant impact of education factors (fees too high, violence and absence of parental care) on levels of educational attainment. “Historically advantaged” factor is the only factor significant and positively affects educational levels. Housing and social development factors were regressed against service satisfaction. Housing factors such as the home owners, age of a house and male household heads were found to be significant. Social development factors such as “no problem with health”, sufficient water, high income, household size and telephone access were found to be significant. Labour force factors such as employment, industrial business and occupation, employment history and long-term unemployment have positive and significant impact on levels of education. Conclusion: It can be concluded that factor analysis as a data reduction technique has managed to describe the variability among the 162 variables in terms of just 29 unobservable variables. Using MLR in subsequent analysis, this study has managed to identify factors positively or negatively associated with educational levels and service satisfaction. The study suggests that educational, housing, social development and labour force facilities should be improved and education should be used to improve life circumstances. Keywords: factor analysis, factors, multinomial logistic regression, logits, educational levels of attainment, service satisfaction, quality of service delivery. / DST-NRF, Centre of Excellence in Mathematical and Statistical Sciences (MaSS)

This study addresses student accountablity and the need for a change of focus from groups of children to the individual child. Accountability data gathered for the study came from the Texas State Department of Education.

No description available.

Food deserts are a growing problem in the United States, and occur in areas of low-income where people have limited access to healthy foods. In response, the presence of farmers’ markets has grown exponentially, and improved healthy food access. Additionally, the USDA has strived to connect families to healthy foods through food assistance programs such as the Supplemental Nutrition Assistance Program (SNAP), the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC), and the Senior Farmers’ Market Nutrition Program (SFMNP). This study investigated the relationship between farmers’ markets, their acceptance of food assistance benefits, and their locations within Tennessee food deserts census tracts. Using the 2017 Farmers’ Market Directory, this study merged market data, including geocoded addresses, with the appropriate census tract data from the 2015 Food Access Research Atlas. Chi-square tests of independence and spatial visualizations were used to assess the relationship of census tracts, farmers markets, and food assistance benefits. Of the 1,497 Tennessee census tracts, 18.0% were food deserts. Of these food deserts, 9.3% had at least one market present. Of these food deserts, 92.0% were urban. Of 130 farmers’ markets in Tennessee, 34.6% accepted any food assistance benefits. Additionally, 56.9% of all markets were in areas of high socioeconomic status (SES). Results indicated that markets were clustered in urban areas, and few were identified as food deserts. Additionally, few markets were in food deserts and accepted any food assistance benefit. Due to these findings, the definition of food deserts should be expanded to include additional food retailers other than supermarkets. Also, additional policies and research is needed to reinforce farmers’ markets and food assistance programs as food access interventions.