Some Problems of Mapping the 1971 Census by Computer

1976 ◽  
Vol 8 (5) ◽  
pp. 507-513 ◽  
Author(s):  
A M Kirby ◽  
D Tarn

The paper justifies an intermediate-technology approach to computer mapping, and discusses the application of SYMAP to the presentation of census data. The problems of base-map preparation, data manipulation, and the presentation of line-printer output are all discussed. An example of finished output and an operational FORTRAN program for data amalgamation are presented.

2017 ◽  
Vol 231 ◽  
pp. 797-803 ◽  
Author(s):  
Yong Cai

In a recent article published in this journal, Yaojiang Shi and John Kennedy suggest that China's missing girls problem is much more a statistical artefact than previously known. According to their analysis, unreported female births, or hidden girls, account for 73 per cent of the 15 million missing girls from the 1990–2010 birth cohorts in the 2010 census. Their conclusion is based in part on their fieldwork, but the numerical estimate is grounded on their understanding and analyses of Chinese census data. While the insights from their fieldwork – that China's political system leaves ample room for data manipulation and delayed registration – cannot be faulted, Shi and Kennedy's analyses of Chinese census data are questionable and their conclusion is in contradiction with the “missing girls” shown in other data sources. In this short note, I present three lines of evidence to challenge Shi and Kennedy's conclusion: one from the censuses, one from official education statistics, and one from survey data. For the sake of clarity, I use two terms to describe missing girls: nominal missing – the number of missing girls as revealed by population statistics, and truly missing – the number of missing girls excluding those hidden (unreported) girls. My conclusion backs the conventional wisdom about the missing girls phenomenon in China: the elevated sex ratios in Chinese population, or “missing girls,” is not a statistical artefact, but a real social challenge that China has to face for now and for the foreseeable future.


1980 ◽  
Vol 34 (3) ◽  
pp. 187 ◽  
Author(s):  
Danny W. Turner ◽  
F. Eugene Tidmore
Keyword(s):  

Author(s):  
R.F. Egerton

SIGMAL is a short (∼ 100-line) Fortran program designed to rapidly compute cross-sections for L-shell ionization, particularly the partial crosssections required in quantitative electron energy-loss microanalysis. The program is based on a hydrogenic model, the L1 and L23 subshells being represented by scaled Coulombic wave functions, which allows the generalized oscillator strength (GOS) to be expressed analytically. In this basic form, the model predicts too large a cross-section at energies near to the ionization edge (see Fig. 1), due mainly to the fact that the screening effect of the atomic electrons is assumed constant over the L-shell region. This can be remedied by applying an energy-dependent correction to the GOS or to the effective nuclear charge, resulting in much closer agreement with experimental X-ray absorption data and with more sophisticated calculations (see Fig. 1 ).


1993 ◽  
Vol 32 (01) ◽  
pp. 79-81 ◽  
Author(s):  
P. Millard ◽  
S. McClean

Abstract:The flow of patients through geriatric hospitals has been previously described in terms of acute and long-stay states where the bed occupancy at a census point is modelled by a mixed exponential model. Using data for sixteen years the model was fitted to successive annual census points, in order to provide a description of temporal trends. While the number of acute patients has remained fairly stable during the period, the model shows that there has been a decrease in the number of long-stay patients. Mean lengths of stay in our geriatric hospital before death or discharge have decreased during the study period for both acute and long-stay patients.Using these fits of the mixed exponential model to census data, a method is provided for predicting future turnover of patients. These predictions are reasonably good, except when the turnover patterns go through a period of flux in which assumption of stability no longer holds. Overall, a methodology is presented which relates census analysis to the behaviour of admission cohorts, thus producing a means of predicting future behaviour of patients and identifying where there is a change in patterns.


The university is considered one of the engines of growth in a local economy or its market area, since its direct contributions consist of 1) employment of faculty and staff, 2) services to students, and supply chain links vendors, all of which define the University’s Market area. Indirect contributions consist of those agents associated with the university in terms of community and civic events. Each of these activities represent economic benefits to their host communities and can be classified as the economic impact a university has on its local economy and whose spatial market area includes each of the above agents. In addition are the critical links to the University, which can be considered part of its Demand and Supply chain. This paper contributes to the field of Public/Private Impact Analysis, which is used to substantiate the social and economic benefits of cooperating for economic resources. We use Census data on Output of Goods and Services, Labor Income on Salaries, Wages and Benefits, Indirect State and Local Taxes, Property Tax Revenue, Population, and Inter-Industry to measure economic impact (Implan, 2016).


Author(s):  
Rafael Sanzio Araújo dos Anjos ◽  
Jose Leandro de Araujo Conceição ◽  
Jõao Emanuel ◽  
Matheus Nunes

The spatial information regarding the use of territory is one of the many strategies used to answer and to inform about what happened, what is happening and what may happen in geographic space. Therefore, the mapping of land use as a communication tool for the spatial data made significant progress in improving sources of information, especially over the last few decades, with new generation remote sensing products for data manipulation.


10.28945/2926 ◽  
2005 ◽  
Author(s):  
James N. Morgan ◽  
Craig A. VanLengen

The divide between those who have computer and Internet access and those who do not appears to be narrowing, however overall statistics may be misleading. Measures of computer availability in schools often include cases where computers are only available for administration or are available only on a very limited basis (Gootman, 2004). Access to a computer and the Internet outside of school helps to reinforce student learning and emphasize the importance of using technology. Recent U.S. statistics indicate that ethnic background and other demographic characteristics still have substantial impact on the availability and use of computers by students outside of the classroom. This paper examines recent census data to determine the impact of the household on student computer use outside of the classroom. Encouragingly, the findings of this study suggest that use of a computer at school substantially increases the chance that a student will use a computer outside of class. Additionally, this study suggests that computer use outside of the classroom is positively and significantly impacted by being in a household with adults who either use a computer at work or work in an industry where computers are extensively used.


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