• Journal of Korean Society of Rural Planning
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• v.21 no.2
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• pp.1-10
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• 2015

This study consists of an observation of the changes in management and agricultural production of Shinbuk-eup based on the data from the Agricultural, Forestry & Census Report Survey. The following is a short summary and suggestions of the research. First, taking a look at the farming conditions of Shinbuk-eup, it shows that it is extremely polarized into rice paddies and vegetable cropping. Second, using the Tobit model to analyze the factor of determination of farmable lands of the farmers in Shinbuk-eup, the higher the number of family members, the less the hired work, and the more the experience in farming, have larger farmable lands. Meanwhile, the younger the farmer, their land mass is higher, however, after reaching their threshold age, their lands decrease.

• International Journal of Human Ecology
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• v.9 no.1
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• pp.53-62
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• 2008

This paper examines the changes in housing characteristics occupied by two or more households from 1995-2005, as a replicated follow-up study done by the previous decade of 1985-1995. The data analyzed were based on the Population and Housing Census in 1995, 2000, and 2005 by the Korean National Statistical Office. Results showed decreasing trends in the percentages of housing units occupied by multi-households and of households sharing a housing unit, while the average number of households for a shared housing unit was increasing. Detached dwellings in dongs (neighborhood) including ordinarily single-family detached ones, mainly multi-family houses, were the most often shared with other households even in the trend of the decreasing number of the detached housing. Further research is suggested to focus on housing circumstances of households sharing a detached dwelling in Dongs by the type of detached dwellings.

• The Korean Nurse
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• v.23 no.5 s.128
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• pp.78-89
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• 1984

This study is designed to investigate the nursing educational system and nursing curriculum. Data for analysis were based on the 1983 educational census report of Korean Nurses Association, curriculum of 44 Schools of Nursing sampled for comparison and li

• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.3
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• pp.1-12
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• 2004

Nowadays, a satellite image is widely utilized in identifying and predicting urban spatial growth. It provides essential informations on horizontal expansion of urbanized areas. However, its usefulness becomes very limited in analyzing density of urban development. On the contrary, zonal data, typically census data, provides various density information such as population, number of houses, floor information within a given zone. The problem of the zonal data in analyzing urban growth is that the size of the zone is too big. The minimum administration unit, Dong, is too big to match the satellite images. This study tries to derive synergy effects by matching the merits of the two information sources-- image data and zonal data. For this purpose, basic statistical unit (census block size) is utilized as a zonal unit. By comparing the image and zonal data of 1985 and 2000 of Daegu metropolitan area, this study concludes that urban growth pattern is better explained when the two types of data are properly used.

• Journal of the Korea Institute of Building Construction
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• v.3 no.1
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• pp.161-168
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• 2003

This study has researched upon customers' request in the remodelling of residential buildings, and that the research results could be used as a reference data when the remodelling work is under implementation. This study also has collected the residents' upgrading request on their residential buildings, and graded the requests according to their importance. For those purposes, this study classified the problem items through classified analyses and, built the census items, based on the results. Then, the residents' requests on the residential building were presented by importance rates through coupled analysis census. Also, the importance rates have been related to the construction items which predict the importance of each construction item. The main purposes of this study are setting up the direction of the remodelling of residential buildings and predicting the customer requests in the future, even though the remodelling of residential building in Korea has not been activated yet. The research results are expected to be used as a basic data in the remodelling and construction of residential buildings.

• Journal of Korean Society of Rural Planning
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• v.24 no.2
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• pp.79-89
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• 2018

The main purpose of this study is to explore the factors that affect the transformation of over-depopulated rural villages. Specifically, we investigated the reasons of the rapid decrease in the number of over-populated rural villages shown by recent census data in spite of the continuing decrease of population in rural area. We used a binary-logit model and the Census of Agriculture, Forestry and Fisheries data(2010, 2015). The main results are summarized as followed: First, the over-depopulated rural villages with strong agronomic base are more likely to exit from over-depopulation. Second, returners from urban to rural have a positive impacts on the revival of over-depopulated rural areas. Thirds, improving the basic services accessibility of rural residents is also critical for keeping rural community more sustainable. These findings can be used to make effective strategies to revive the depopulated rural villages.

• Spatial Information Research
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• v.22 no.3
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• pp.35-46
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• 2014

Population data are usually provided at administrative spatial units in Korea, so areal interpolation is needed for fine-grained analysis. This study aims to compare various methods of areal interpolation for population subgroups rather than the total population. We estimated the number of elderly people and single-person households for small areal units from Dong data by the different interpolation methods using 2010 census data of Seoul, and compared the estimates to actual values. As a result, the performance of areal interpolation methods varied between the total population and subgroup populations as well as between different population subgroups. It turned out that the method using GWR (geographically weighted regression) and building type data outperformed other methods for the total population and households. However, the OLS regression method using building type data performed better for the elderly population, and the OLS regression method based on land use data was the most effective for single-person households. Based on these results, spatial distribution of the single elderly was represented at small areal units, and we believe that this approach can contribute to effective implementation of urban policies.

• Asian Journal of Turfgrass Science
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• v.9 no.2
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• pp.131-136
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• 1995

The herb, shrub, understory and canopy strata, which arbitrarily delineated by size classes, were sampled separately. The former one were sampled by the pin-point quadrat method. And remaining three by size quadrats, diversity (H= =$\Sigma$ Pi log Pi) of of each stratum was estimated for each set of census data. Species diversity within a stratum was independent of sample plot size above a minimum cumulative area. Diversity based on plotless and plot samples could he determined by the same equation, and by pooling the data needed to estimate diversity of each stratum.

• Communications for Statistical Applications and Methods
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• v.6 no.3
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• pp.781-790
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• 1999

In this paper we consider estimation of cancer incidence rates for local areas. The raw estimates usually are based on small sample sizes and hence are usually unreliable. A hierarchical Bayes generalized linear model is used which connects the local areas thereby enabling one to 'borrow strength' Random effects with pairwise difference priors model the spatial structure in the data. The methods are applied to cancer incidence estimation for census tracts in a certain region of the state of New York.

• Journal of Korean Academy of Nursing Administration
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• v.22 no.3
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• pp.209-219
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• 2016

Purpose: To analyze the proportion of medical institutions meeting the legal standard for nurse staffing. Methods: Data collected from 29,282 institutions between 1996 and 2013 were analyzed. Nurse staffing was measured as daily patient census per registered nurse (RN). The standard for general hospitals, hospitals, and clinics is 2.5 or less, and that for long-term care hospitals is 6.0 or less of the daily patient census per RN. Clinics may substitute nursing assistants for RNs by 50% or 100% depending on their daily inpatient census; long-term care hospitals may substitute nursing assistants for RNs by two thirds of the required number of RNs. Results: The proportion of general hospitals, hospitals, clinics, and long-term care hospitals meeting the standards was 63%, 19%, 63%, and 94%, respectively, in 2013. While general hospitals had an increase in the proportion during the 1996-2013 period, small changes were found in hospitals and clinics. In 2013, nurses were estimated to care for 16 (interquartile range: 12~24) patients per shift in general hospitals. Three quarters of clinics had no RNs in 2013. Conclusion: Many medical institutions did not meet the legally mandated minimum staffing level. The government must implement policy actions for all medical institutions to meet the legal standards.