Hidden treasures! : Census Bureau data and where to find it!

Mode of access: Internet.

First year qualifying report: neural networks for extracting wind vectors from satellite scatterometer data

The ERS-1 Satellite was launched in July 1991 by the European Space Agency into a polar orbit at about km800, carrying a C-band scatterometer. A scatterometer measures the amount of radar back scatter generated by small ripples on the ocean surface induced by instantaneous local winds. Operational methods that extract wind vectors from satellite scatterometer data are based on the local inversion of a forward model, mapping scatterometer observations to wind vectors, by the minimisation of a cost function in the scatterometer measurement space.par This report uses mixture density networks, a principled method for modelling conditional probability density functions, to model the joint probability distribution of the wind vectors given the satellite scatterometer measurements in a single cell (the `inverse' problem). The complexity of the mapping and the structure of the conditional probability density function are investigated by varying the number of units in the hidden layer of the multi-layer perceptron and the number of kernels in the Gaussian mixture model of the mixture density network respectively. The optimal model for networks trained per trace has twenty hidden units and four kernels. Further investigation shows that models trained with incidence angle as an input have results comparable to those models trained by trace. A hybrid mixture density network that incorporates geophysical knowledge of the problem confirms other results that the conditional probability distribution is dominantly bimodal.par The wind retrieval results improve on previous work at Aston, but do not match other neural network techniques that use spatial information in the inputs, which is to be expected given the ambiguity of the inverse problem. Current work uses the local inverse model for autonomous ambiguity removal in a principled Bayesian framework. Future directions in which these models may be improved are given.

Inferring migration flows from the migration propensities of infants: Mexico and Indonesia

The need for methods of indirectly estimating migration flows is particularly important in developing countries, where migration data are often incomplete and inaccurate. This paper focuses on the use of an indirect internal migration estimation method applied to Mexican and Indonesian census data. It shows that the mobility propensities of infants can be used to infer the corresponding propensities of all other age groups. However, the promise of this method is reduced in instances of inadequate data, and great care must be taken to identify outlying values in the data and to correct obviously erroneous patterns. Future work increasingly will be directed to this issue.

Elements of scalable data processing

Cooperating objects (COs) is a recently coined term used to signify the convergence of classical embedded computer systems, wireless sensor networks and robotics and control. We present essential elements of a reference architecture for scalable data processing for the CO paradigm.

Comuns: An Open-Data Provider, Explorer and Analytic Toolbox Based on FOSS

Contém resumo

Mesurer la pratique religieuse: différentes enquêtes, différents taux? Analyse comparative à partir de la Suisse

In Switzerland, national census data imply that 84.5 percent are affiliated with religious groups and national survey data imply that 15 percent attend a service on a given weekend in 2009. Research in other countries has shown that attendance is often over-reported, but the level of over-report varies across countries. Thus, in the United States, polls show high and stable levels of religious practice, while Church participation surveys indicate rates twice lower. This article assesses the validity of self-reported affiliation and attendance in Switzerland using the 2009 Swiss National Congregations Study (NCS). Results confirm the observation offered by others that the Swiss census undercounts the persuasions absent from the stylized response categories and they show for the first time that Swiss probably over-report their church attendance, though not as much as in the United States.

Long-Stay Activity Report 2001

This report presents data collected through a survey of long-stay units in 2001. The aim of the survey is to provide statistics on the number of beds available for long-term care, how the beds are used and the types of patients who occupy these beds. In order to present the data this report has been divided into a number of sections. This introductory section examines how data was collected and analysed and gives a summary of the results. Download document here

Long-Stay Activity Report 2000

This report presents data collected through a survey of long-stay units in 2000. The aim of the survey is to provide statistics on the number of beds available for long-term care, how the beds are used and the types of patients who occupy these beds. In order to present the data this report has been divided into a number of sections. This introductory section examines how data was collected and analysed and gives a summary of the results Download the Report here

Long Stay Activity Report for 2006

Long Stay Activity Report for 2006 This report presents data collected through a survey of long-stay units in 2006. The aim of the survey is to provide statistics on the number of beds available for long-term care, how the beds are used and the types of patients who occupy these beds. In order to present the data this report has been divided into a number of sections. This introductory section examines how data was collected and analysed and gives a summary of the results. Click here to download PDF 2mb

Long Stay Activity Report for 2011

This report presents data collected through a survey of long-stay units in 2011. The aim of the survey is to provide statistics on the number of beds available for long-term care, how the beds are used and the types of patients who occupy these beds. In order to present the data this report has been divided into a number of sections. This introductory section examines how data was collected and analysed and gives a summary of the results.   Click here to download PDF 2.8mb  

A tale of two logits, compositional data analysis and zero observations

The application of compositional data analysis through log ratio trans-formations corresponds to a multinomial logit model for the shares themselves.This model is characterized by the property of Independence of Irrelevant Alter-natives (IIA). IIA states that the odds ratio in this case the ratio of shares is invariant to the addition or deletion of outcomes to the problem. It is exactlythis invariance of the ratio that underlies the commonly used zero replacementprocedure in compositional data analysis. In this paper we investigate using thenested logit model that does not embody IIA and an associated zero replacementprocedure and compare its performance with that of the more usual approach ofusing the multinomial logit model. Our comparisons exploit a data set that com-bines voting data by electoral division with corresponding census data for eachdivision for the 2001 Federal election in Australia

Use of variability in national and regional data to estimate the prevalence of lymphangioleiomyomatosis.

Background: Understanding the true prevalence of lymphangioleiomyomatosis (LAM) is important in estimating disease burden and targeting specific interventions. As with all rare diseases, obtaining reliable epidemiological data is difficult and requires innovative approaches.Aim: To determine the prevalence and incidence of LAM using data from patient organizations in seven countries, and to use the extent to which the prevalence of LAM varies regionally and nationally to determine whether prevalence estimates are related to health-care provision.Methods: Numbers of women with LAM were obtained from patient groups and national databases from seven countries (n = 1001). Prevalence was calculated for regions within countries using female population figures from census data. Incidence estimates were calculated for the USA, UK and Switzerland. Regional variation in prevalence and changes in incidence over time were analysed using Poisson regression and linear regression.Results: Prevalence of LAM in the seven countries ranged from 3.4 to 7.8/million women with significant variation, both between countries and between states in the USA. This variation did not relate to the number of pulmonary specialists in the region nor the percentage of population with health insurance, but suggests a large number of patients remain undiagnosed. The incidence of LAM from 2004 to 2008 ranged from 0.23 to 0.31/million women/per year in the USA, UK and Switzerland.Conclusions: Using this method, we have found that the prevalence of LAM is higher than that previously recorded and that many patients with LAM are undiagnosed.

Rivers Regional Patterns in Historic Data

A report produced by the Department of Natural Resources on the historical pattern the rivers take.