• Journal of the Korean Geographical Society
• /
• v.47 no.2
• /
• pp.268-281
• /
• 2012

In spite of the usefulness of migration statistics in spatially understanding social processes and identifying social effects of spatial processes, services and analyses of the statistics have been restricted due to the complexity of their data structure. In addition, flow mapping functionality which is a useful method to explore and visualize the migration statistics has yet to be fully represented in modern GIS applications. Given this, the purpose of this research is to demonstrate the possibility of flow mapping and the exploratory spatial analysis of the migration statistics in a Web GIS environment. For this, the characteristics of the statistics were examined from database, GIS, and cartographic perspectives. Then, O-D structure of the migration statistics was converted to spatial data appropriate to f low mapping based on the characteristics. The interface of Web GIS is specialized the migration statistics and provides exploratory visualization by allowing dynamic interactions such as spatial focusing and attribute filtering.

• The Korean Journal of Applied Statistics
• /
• v.29 no.3
• /
• pp.487-503
• /
• 2016

Urban-to-rural migration for farming has recently emerged as a new way to vitalize rural economies in a fast-aging rural Korea. In this paper, we analyze the 2013 data of returning farmers with statistical network methods. We identify urban to rural migration hubs with centrality measures and find migration trends based on regional clusters with similar features via statistical network models. We also fit a latent distance model to investigate the role of distance in migration.

• The Korean Journal of Applied Statistics
• /
• v.22 no.3
• /
• pp.443-461
• /
• 2009

In order to overcome the lack of Korean credit rating migration data, we consider an empirical Bayes procedure to estimate credit rating migration matrices. We derive the posterior probabilities of Korean credit rating transitions by utilizing the Moody's rating migration data and the credit rating assignments from Korean rating agency as prior information and likelihood, respectively. Metrics based upon the average transition probability are developed to characterize the migration matrices and compare our Bayesian migration matrices with some given matrices. Time series data for the metrics show that our Bayesian matrices are stable, while the matrices based on Korean data have large variation in time. The bootstrap tests demonstrate that the results from the three estimation methods are significantly different and the Bayesian matrices are more affected by Korean data than the Moody's data. Finally, Monte Carlo simulations for computing the values of a portfolio and its credit VaRs are performed to compare these migration matrices.

• The Korean Journal of Community Living Science
• /
• v.18 no.3
• /
• pp.455-467
• /
• 2007

Recently, there has been a gradual growth of retired in-migrants in high-amenity, rural areas in Korea. However, little has known about that the retirement migration is a blessing or a blight for a local economy in Korea. Therefore, in this study, we intend to explore the relationship between retirement migration and economic development of rural communities in Korea. For this purpose, we used the 1995 and 2000 census data and annual regional statistics for 138 counties in Korea. Based on the previous empirical studies, economic development was measured by 3 indicators such as GRDP (Gross Regional Domestic Product), job creation in the wholesale and retail sector, and the increase of local tax. Also, cross-tab, scatter plot, and correlation were analyzed using the SPSS Windows Program. The finding are as follows: First, from 1995 to 2000, nearly 11 percent of rural counties showed 10 percent and over increase of in-migration rate among retirees. Second, correlation statistics showed a close relationship between retirement in-migrant flows and economic resurgence. In particular, retirement in-migration rates were significantly tied to the job creation of the wholesale and retail sector (r=.19, p<.05) as well as car ownership rate (r=.58, p<.001) resulting in the increase of local tax. However, there was non-significantly positive correlation between retirement in-migrant flows and GRDP change (r=.13). Knowledge of these relationships will be important to policy-makers and for understanding the role that retirement in-migration play in stimulating economic growth of rural communities in Korea.

• Journal of Korean Academy of Nursing Administration
• /
• v.16 no.4
• /
• pp.437-445
• /
• 2010

Purpose: The purpose of this study was to identify the factors influencing intention of migration by Korean hospital nurses. Methods: Using cross sectional correlational design, data were collected from 512 nurses working in 7 hospitals ranging in size from 300 to 900 beds in D city and K province of Korea. Data were analyzed by descriptive statistics, chi-square, and multiple hierarchical regression using the SPSS program. Results: There were significant differences in intention of migration by age, educational background, marital status, work experience, and yearly incomes. Although there was high intention of migration of the subjects, the level of preparation for migration was relatively low. The variables that were independently associated with intention of migration were graduates of RN-BSN program, personal factors of subjects, and environmental factors. Those who had lower perception on nursing images and work condition had significantly higher intention of migration than those who had higher perception. Full model accounted for 37.3% of the variance in intention of migration. Conclusion: To prevent brain drain of competent nurses in Korea, appropriate strategies to enhance work condition should be developed and the effect of migration of nurses should be investigated in further studies.

• Genomics & Informatics
• /
• v.17 no.4
• /
• pp.37.1-37.8
• /
• 2019

Isolation-with-migration (IM) models have become popular for explaining population divergence in the presence of migrations. Bayesian methods are commonly used to estimate IM models, but they are limited to small data analysis or simple model inference. Recently three methods, IMa3, MIST, and AIM, resolved these limitations. Here, we describe the major problems addressed by these three software and compare differences among their inference methods, despite their use of the same standard likelihood function.

• Journal of Korean Society of Rural Planning
• /
• v.23 no.2
• /
• pp.43-54
• /
• 2017

When an age of low growth and population decline, population migration plays an important role in spatial structure of region. There have been many researches on migration and regional spatial structure. The purpose of this study is to examine the changes of Gwangju and Jeonnam region's spatial structure and central area using social network analysis methods. For analysis it was used that population and migration data and passenger OD(Origin and Destination) travel data released by Statistics Korea and Korea Transport Database(KTDB). Using Gephi 0.8.2, migration and passenger OD networks were visualized, and this describe network flow and density. The results of the network centrality analysis show that the most populated village is not always network center though population mass is an important factor of central places. The average eigenvector centrality of 2010 migration is the lowest during 2005-2015, and it means few regions have high centralities. When comparing migration and travel networks, travel data is more effective than migration data in determining the central location considering spatial functions.

• Journal of Korean Academy of Nursing
• /
• v.47 no.5
• /
• pp.676-688
• /
• 2017

Purpose: The purpose of this study was to analyze the migration patterns of new nurses and experienced nurses and to identify the factors influencing inter-regional migration for solving regional imbalances of clinical nurses in South Korea. Methods: This study involved a secondary analysis of data from the Health Insurance Review and Assessment Service (HIRA). Data were analyzed using descriptive statistics and multiple logistic regression analysis. Results: New nurses tended to migrate from Kyunggi to Seoul. However, experienced nurses tended to migrate from Seoul and Chungchung to Kyunggi. Significant predictors of inter-regional migration among new nurses were location and nurse staffing grade of hospitals. Significant predictors of inter-regional migration among experienced nurses were location, hospital type, nurse staffing grade, ownership of hospitals and age of nurses. Conclusion: Inter-regional migration occupied a small portion of total hospital movement among clinical nurses. The regional imbalances of nurses were not caused by the migration from non-metropolitan areas to Seoul. Nurse shortage problems in the small and medium hospitals of the non-metropolitan area can be solved only through improvement of work environment.

• Journal of the Korean association of regional geographers
• /
• v.16 no.5
• /
• pp.590-609
• /
• 2010

The purpose of the study is to propose and evaluate Exploratory Spatial Data Analysis(ESDA) methods for examining age-specific population migration characteristics. First, population migration pyramid which is a pyramid-shaped graph designed with in-migration, out-migration, and net migration by age (or age group), was developed as a tool exploring age-specific migration propensities and structures. Second, various spatial statistics techniques based on local indicators of spatial association(LISA) such as Local Moran''s $I_i$, Getis-Ord ${G_i}^*$, and AMOEBA were suggested as ways to detect spatial dusters of age-specific net migration rate. These ESDA techniques were applied to age-specific population migration of Daegu Metropolitan City. Application results demonstrated that suggested ESDA methods can effectively detect new information and patterns such as contribution of age-specific migration propensities to population changes in a given region, relationship among different age groups, hot and cold spot of age-specific net migration rate, and similarity between age-specific spatial clusters.

• The Korean Journal of Applied Statistics
• /
• v.33 no.3
• /
• pp.347-355
• /
• 2020

An Isolation-with-Migration (IM) model is used to estimate extant population sizes, the splitting time of populations split away from their common ancestral populations, and migration rates between the extant populations. An evolutionary model such as IM models is estimated by analyzing DNA sequences sampled from the extant populations in the model. When a true model includes an unsampled 'ghost' population without data, the unsampled population is often ignored from the evolutionary model to infer. In this paper, we conduct a simulation study to investigate the effect of an unsampled population on the estimation of the size of the sampled population. When there exists an unsampled population that shares migrations with the sampled population, the size estimation of the sampled population was biased. However, the size estimation was improved if an evolutionary model, including the unsampled population, was estimated.