• Journal of Korean Society for Geospatial Information Science
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• v.6 no.1 s.11
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• pp.19-26
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• 1998

In general, GIS provides a user with geographical information according to his requirements after a computer stores digitized spatial data from real scenes. Geographical information from digitized spatial data lacks of reality due to the exclusion of real scenes. However, Augmented Reality(AR) allows a user to see the real world with virtual objects superimposed upon or composited with the real world. Therefore it enhances a user's perception of the real world. In this paper, we present the development on 3D geographical information guide system using augmented reality that displays the real world with virtual objects such as building name, road name, etc., in real time.

• Journal of Korean Society for Geospatial Information Science
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• v.3 no.2 s.6
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• pp.137-149
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• 1995

A spatial index is necessary to support an efficient search in a geographical information system (GIS) that is important in these days. In this paper, we design and implement a geographical data manager, called GOOD (Geo-object Oriented Data Manager) 2.0, by extending GOOD 1.0 with a spatial index processing module. That is, R-tree and R*-tree are used as a spatial index in this paper to make an efficient search possible. In addition, this paper conducts a performance evaluation to measure the improvement in search efficiency and analyzes the results of the performance evaluation. When the performance evaluation is carried out, we consider various environment factors to allow an GIS administrator to use the results as a basic data in selecting an appropriate spatial index.

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1531-1538
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• 2014

The causes of cancer are diverse, complex, and only partially understood. Many factors including health behaviors, socioeconomic environments and geographical locations can directly damage genes or combine with existing genetic faults within cells to cause cancerous mutations. Collecting the cancer data and reporting the statistics, therefore, are important to help identify health trends and establish normal health changes in geographical areas. In this article, we analyzed cancer data and demon-strated how spatial patterns of the age-standardized rate and health indicators can be examined visually and simultaneously using linked micromap plots. As a result of data analysis, the age-standardized rate has positive correlativity with thyroid and breast cancer, but the rate has negative correlativity with smoking and drinking. In addition, the regions with high age-standardized rate are located in southwest and the areas of high population density while the standardized mortality ratio is higher in southwest and northeast where there are lots of rural areas.

• Korean Journal of Pharmacognosy
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• v.44 no.4
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• pp.332-335
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• 2013

Geographical classification of A. gigas was performed in the present study using UHPLC-DAD combined with multivariate data analysis techniques. Six active constituents were isolated from A. gigas; nodakenin, marmesin, decursinol, demethylsuberosin, decursin and decursinol angelate. One hundred sixty eight A. gigas samples were simultaneously determined using UHPLC-DAD. A principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) was used to classify the samples according to geographical origins (Korea and China). The origins of A. gigas from Korea and China were correctly classified by 81.6% and 93.8% using PLS-DA Y prediction. This result demonstrates the potential use of UHPLC-DAD combined with multivariate analysis techniques as an accurate and rapid method to classify A. gigas according to their geographical origin.

• Journal of Technology Innovation
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• v.16 no.1
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• pp.165-190
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• 2008

The purpose of this study is to find problems of Geographical Cluster and to analyze relationships between problems of a Geographical Cluster and its performance. The problems of geographical cluster include those of technical fusion, increase of incidental expenses, conditions of settlement, and absence of industrial infrastructures, and performance factors are satisfaction with the cluster policy and within cluster firm's performance. According to the results of analyses based on the data collected from 75 firms located in the Gumi electronic industry cluster complex, first, problems of technical fusion, and absence of industrial infrastructures had a negative(-) effect on satisfaction with the cluster policy. Second, absence of industrial infrastructures had also a negative(-) effect on within cluster firm's performance. In the conclusion, further discussion, limitation of this study and future direction were suggested.

• Economic and Environmental Geology
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• v.42 no.6
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• pp.645-654
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• 2009

Recently there have been increasing consumers' interests in the geographical origin of foods, due to the FTA (Free Trade Agreement) in the global market. Especially, in Korea, in relation to BSE (bovine spongiform encephalopathy), it is considered to be urgent to develop analytical techniques for distinguishing the geographical origin of beef. Korea is facing conclusion of FTA with many countries, and there is a deep national concern about the distinction of the geographical origin of food. Diverse analytical techniques have been used in many of recent researches to obtain data for distinguishing the geographical origin of foods produced in various countries. In this paper, we reviewed national and international researches about tracing of geographical origin and food authentication using stable isotopes. Improvement of the isotopic techniques and their numerous application have been provided useful information of their geographical origin in food products. Furthermore, we expect that this study could be detecting of many frauds and illegal transaction of food products. We look forward to active progressing research of detecting food origin using isotope analysis and numerous application about imported food products.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.173-183
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• 2017

We investigate the factors affecting the price of apartments using the spatial and temporal data of private real estate prices. The factors affecting the price of apartment were analyzed using geographical and temporal weighted regression (GTWR) model which incorporates the temporal and spatial variation. In contrast to the OLS, a general approach used in previous studies, and GWR method which is most widely used for analyzing spatial data, GTWR considers both temporal and spatial characteristics of the house price, and leads to better description of the house price determination. Year of construction and floor area are selected as the significant factors from the analysis, and the house price are affected by them temporally and geographically.

• Korean Journal of Ecology and Environment
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• v.49 no.3
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• pp.236-243
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• 2016

It was a case study to use as a basic data for efficient the preservation and management of subalpine coniferous forest in national parks. It is based on inhabitation condition of 210 individuals of Abies koreana Wilson that was found through local investigation in the sub-alpine zone of Jirisan National Park and Songnisan National Park. It analyzed the effect of the geographical location and topographical features, which are the basics of location environment, on the growth of A. koreana. The variables related to the growth of A. koreana are tree height and diameter at breast height. Topographical features include geographical longitude, altitude above sea level, slope of the mountains, aspect that describes the direction in which a slope faces and topographical wetness index. Topographical features were extracted through GIS spatial analysis. It used canonical correlation analysis to estimate whether the two variables groups have related to each other and how much they are related, if any, and estimated the effect of the geographical and topographical features on the growth structure of A. koreana using multiple regression analysis. The tree height and diameter at breast height that represent the growth structure of A. koreana show greater relation to geographical latitude distribution than topographical feature and the geographical and topographical factors show greater relation to diameter at breast height than tree height. The growth structure's variable and geographical and topographical variable of A. koreana have meaningful relation and the result shows that geographical and topographical variables explain 18.1% of the growth structure. The variables that affect the diameter at breast height of A. koreana are geographical latitude, topographical wetness index, aspect and altitude, which are put in order of statistical significance. The higher the latitude is, the smaller the diameter at breast height. Depending on the topographical feature, it becomes bigger. The variable that affects the tree height is topographical wetness index, which was the only meaningful variable. Overall, the tree height and diameter at breast height that are related to the growth structure of A. koreana are affected by geographical and topographical feature. It showed that the geographical feature affected it the most. Especially the effect of water among the topographical features is expected to be bigger than the other topographical factors. Based on the result, it is expected that geographical and topographical feature is an important factor for the growth structure of A. koreana. Even though it considered only the geographical and topographical features and used spatial analysis data produced by GIS, the research results will be useful for investigating and researching the growth environment of coniferous forest inhabiting in sub-alpine zone of national parks and are expected to be used as basic data for establishing measures to efficiently manage and preserve evergreen needleaf tree such as A. koreana.

• Journal of Biosystems Engineering
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• v.25 no.6
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• pp.497-502
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• 2000

For the analysis of geothermal energy utilization in agriculture the relations between soil temperature and geographical variables such as latitude longitude and sea level in Korea were analyzed and the regression equations were suggested among them. The measured soil temperature data for four years in eighteen cities were used to get the soil temperature fitting equation depending on the soil depth and the time of year in each city. The mean correlation coefficient for those data fitting was 0.980. the correlation coefficient of regression analysis for the mean soil temperature($T_{m}$) on the geographical variables such as latitude longitude and height above sea level was 0.958 and those for soil surface temperature amplitude(Tss) and phase constant(tp) were 0.889, 0.835, respectively. The relation between the apparent thermal diffusivity of the soil and the three geographical variables was not significant. The regression equations for the mean soil temperature($T_{m}$) soil surface temperature amplitude(Tss) and phase constant(tp) adopting latitude($X_{1}$) longitude($X_2$) height above sea level($X_3$) were as follows : $T_{m}$=50.049 - $0.849X_1$-$0.03131X_2$-$0.00622X_3$Tss=-6.970 +$0.584X_1$+$0.00530X_2$-$0.00214X_3$tp=70.353 - $1.404X_1$+ $0.02098X_2$+ $0.00312X_3$

• Food Quality and Culture
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• v.3 no.1
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• pp.20-26
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• 2009

The purpose of this study was to investigate the characteristics of dining-out customers by their behaviors based on geographical regions and visiting days in relation to restaurant attraction at ski resorts in Korea. The data were collected from six ski resorts. Three of the ski resorts were located in Kyunggi Province close to a metropolitan area, namely Seoul. The other three resorts were located in Kangwon Province, which is considered to be distant from the Seoul metropolitan area. A total of 599 usable questionnaires were utilized in the data analysis. Descriptive statistics and a cross tabulation analysis with chi square were used to examine the demographic characteristics of the respondents and the significant differences between geographical regions as well as between weekdays and weekends. The responding customers consisted of 57.3% (n=343) males and 42.7% (n=256) females. With respect to age, 15.5% were less than 20 yr., 44.6% were $20{\sim}30$ yr., and 28.0% were $30{\sim}40$ yr. The most recognizable occupations were student (32.9%) followed by office worker (33.2%). Twenty-seven percent of the respondents had less than one year of skiing experience and the majority (32.9%) had more than $1{\sim}3$ yr of experience. The major findings obtained from this study include statistically significant differences in the customers' demographical characteristics of age, occupation, skiing experience, and residential area according to the geographical regions of Kyunggi Province and Kangwon Province (p<0.05). All six of the customers' behavioral attributes, including transportation, reason to visit, staying days, purpose of visit, spending expenses, and usage of discount programs, showed significant differences between geographical groups (p<0.05). Finally, restaurant attraction was associated with the purpose of visiting and spending expenses by customers at the ski resorts (p<0.001).