• Spatial Information Research
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• v.10 no.3
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• pp.481-492
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• 2002

The severity and spatial Patterns of spring drought on the croplands arc investigated using satellite imagery(Landsat ETM+). It is necessary to analyze the area droughty conditions in order to decrease the damage and make the efficient policies. In this context, the information about soil moisture levels, which were fatal factors to the crop growth, was acquired from wetness calculated from Tasseled cap transformation. We confirmed that the wetness values have a strong correlation with NDVI and the principal components. The result showed that the intensity of vegetation covering the surface could be understood as the index of the impacts of drought on croplands and these relationships were effective to classify dry areas in satellite imagery.

• Journal of the Korean Regional Science Association
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• v.33 no.3
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• pp.21-30
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• 2017

The purpose of this study is to analyze the effect of urban characteristics on regional population and to suggest policy implications based on the analysis results. For this purpose, this study used spatial econometrics analysis(SAR, SEM, SAC) using data on 122 eup-myon-dong areas in Incheon Metropolitan City. As a result of the analysis, First, in terms of spatial, population density showed positive (+) effect while employment density has negative (-) effect. Also, the increase in the number of tertiary industries and workers in the industry has a positive (+) effect. Second, in terms of housing, the apartment ratio showed positive (+) effect and the increase of low-rise deteriorated housing has negative (-) effect. Third, the increase in educational facilities and urban parks showed positive (+) effect on population. In conclusion several policy implications for urban management found through this analysis are discussed.

• Journal of Korea Game Society
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• v.19 no.4
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• pp.5-14
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• 2019

This essay analyzes space in augmented reality games, and attempts to offer space analytic standards of mobile augmented reality games in regards to space in existing games. This article proposes categorizing criteria based on the following factors: Analysis of space in existing games, Jason Jerald's Three Virtual Space Horizon Categories, interaction between virtual world and real world, and Lavroff's Three deciding factors of reality perception in virtual reality. It is meaningful that the analysis criteria of the Augmented Reality game space is presented through this analysis.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.3
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• pp.13-29
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• 2021

The purpose of this study was to analyze the spatial distribution and location factors of startups by generation (young and middle-aged) in Seoul. To this end, a research model was established that included factors of industry, population, and startup institutions by generation in 424 administrative districts using the Seoul Business Enterprise Survey(2018), which includes data on the age group of entrepreneurs. As an analysis method, descriptive statistics were conducted to confirm the frequency, average and standard deviation of startups by generation and major variables in the administrative districts of Seoul, and spatial distribution and characteristics of startups by generation were analyzed through global and local spatial autocorrelation analysis. In particular, the spatial distribution of startups in Seoul was confirmed in-depth by categorizing and analyzing startups by major industries. Afterwards, an appropriate spatial regression analysis model was selected through the Lagrange test, and based on this, the location factors affecting startups by generation were analyzed. The main results derived from the research results are as follows. First, there was a significant difference in the spatial distribution of young and middle-aged startups. The young people started to startups in the belt-shaped area that connects Seocho·Gangnam-Yongsan-Mapo-Gangseo, while middle-aged people were relatively active in the southeastern region represented by Seocho, Gangnam, Songpa, and Gangdong. Second, startups by generation in Seoul showed various spatial distributions according to the type of business. In the knowledge high-tech industries(ICT, professional services) in common, Seocho, Gangnam, Mapo, Guro, and Geumcheon were the centers, and the manufacturing industry was focused on existing clusters. On the other hand, in the case of the life service industry, young people were active in startups near universities and cultural centers, while middle-aged people were concentrated on new towns. Third, there was a difference in factors that influenced the startup location of each generation in Seoul. For young people, high-tech industries, universities, cultural capital, and densely populated areas were significant factors for startup, and for middle-aged people, professional service areas, low average age, and the level of concentration of start-up support institutions had a significant influence on startup. Also, these location factors had different influences for each industry. The implications suggested through the study are as follows. First, it is necessary to support systematic startups considering the characteristics of each region, industry, and generation in Seoul. As there are significant differences in startup regions and industries by generation, it is necessary to strengthen a customized startup support system that takes into account these regional and industrial characteristics. Second, in terms of research methods, a follow-up study is needed that comprehensively considers culture and finance at the large districts(Gu) level through data accumulation.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.4
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• pp.499-513
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• 2022

This study targets the rechargeable battery industry, which has been rapidly growing recently. The rechargeable battery industry is closely related to the electric vehicle industry. However, other factors also influence it. Currently, rechargeable battery companies show a pattern of restructuring production space by various means. To determine the causes of these production spaces, the factors affecting regional and national scales were thoroughly examined. As a result, the location factors for rechargeable battery-related companies are determined by cooperative relationships with assembled car companies, government policy regulations, and the stability of supply of key materials. And a spatial strategy was implemented to make the most of these circumstances.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.2
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• pp.18-29
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• 2022

The purpose of this study is to examine the spatial characteristics and factors in the occurrence of COVID-19 from January 20 to August 30 of 2020. The exploratory spatial data analysis and spatial econometrics model are used. The spatial unit of analysis is 255 si-gun-gu in Korea. As a result of the analysis, COVID-19 infection did not appear to be a significant factors(host and environment) influencing the emergence of existing new infectious diseases, but there was a relationship between spatially adjacent areas and their occurrence. It also showed a close relationship with the outbreak pattern of group 4 infectious diseases, another type of new infectious disease in Korea. The result of this study shows that COVID-19 is not a new pattern of emerging infectious diseases. It means that the properties of the space where new infectious diseases appear must be continuously managed in order to effectively control new infectious diseases.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.1
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• pp.54-69
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• 2021

Policy improvement such as the revision of the Road Traffic Act are proposed for personal mobility(especially e-scooter) usage. However, there is not enough discussion to solve the problem of using shared e-scooter. In this study, we analyze the influencing factors that amount of pick-up and drop-off of shared e-scooter by dividing the Seoul into a 200m grid. we develop spatial auotcorrelation model such as spatial lag model, spatial error model, spatial durbin model, and spatial durbin error model in order to consider the characteristics of the aggregated data based on a specific space, and the spatial durbin error model is selected as the final model. As a result, demographic factor, land use factor, and transport facility factors have statistically significant impacts on usage of shared e-scooter. The result of this study will be used as basic data for suggesting efficient operation strategies considering the characteristics of weekday and weekend.

• School Mathematics
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• v.19 no.4
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• pp.663-690
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• 2017

The aim of this study is to look into the meaning and sub-factors of spatial orientation, compare and analyze mathematics curriculums and textbooks of several countries with respect to spatial orientation and offer suggestions to improve teaching spatial orientation in elementary school mathematics in Korea. In order to attain these purposes, this study examined the meaning and sub-factors of spatial orientation through the theoretical consideration regarding various studies on spatial sense. Based on such examination, this study compared and analyzed mathematics curriculums and textbooks used in South Korea, Singapore, Japan, China, Hong Kong, Finland, United States of America, and Germany with respect to contents of mathematics curriculum and textbooks in grades, sub-factors of spatial orientation, and contexts for spatial orientation. In the light of such theoretical consideration and analytical results, this study provided suggestions for improving teaching spatial orientation in elementary schools in Korea as follows: extending content of spatial orientation in mathematics curriculum, emphasizing spatial orientation across the several grades, especially in the upper grades, providing opportunities to learn the sub-factors of location, direction, coordinates, route, and distance variously, and utilizing various familiar and realistic contexts in the world around students.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.4
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• pp.59-67
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• 2015

There are several methods for building optimal eco-villages in a narrow territory. To derive a new optimal eco-village factors by combining environmental factors from ubiquitous sensor network and topography factors, this study attempted to investigate ecological spaces of specific human settlements, to compare those with the spatial analytical results on natural real settlements, and to draw a construction plan for an optimal ecological village. This study presented a new milestone for building eco-villages in the large or small village units of the entire country in the fact that we can find a living space to make natural healing possible by integrating ecological factors and wellbeing spatial configuration using more healthy natural space. Also, this study proposed a practical method to do so.

• Journal of Korean Society for Geospatial Information Science
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• v.14 no.1 s.35
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• pp.13-19
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• 2006

When investigating the damage of a forest fire, quite a few are depending on the naked eye observation. However, if the damage spreads to another area, it is easy to use the satellite images because it is hard to reach all the damaged areas on foot. From this research, we did a statistical interpretation of after fire using satellite image data to classify the damage on first and second factor analysis. As a result, it was more easier to classify the river's plants and ridges between rice fields that were in the forest fire damage area in the second observation then the first observation. Also, we could classify the area by areas that were damaged more or less using the second factor analysis. To verify this, we used the forest fire images collected from the satellite images and the actual survey data collected from spectral radiometer to see if these two datawere correlated and as a result we found out that they were highly involved.