• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1359-1361
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• 2003

A set of microwave remote sensing data collected with the newly developed UMass Imaging Wind and Rain Airborne Profiler (IWRAP) during the 2002 Atlantic Hurricane Season was analyzed to further our understanding of the effect of precipitation on scatterometer wind vector retrieval. Coincident surface wind speed and precipitation measurements were provided by the UMass Simultaneous Frequency Microwave Radiometer (SFMR). The differences between the wind estimations from IWRAP and SFMR under precipitation conditions of 0-100mm/hr and wind speed of 0-60m/s was calculated, from which the effect of precipitation on the wind vector retrieval using scatterometry is analyzed qualitatively.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.263-263
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• 2017

Rice (Oryza sativa L.) is the world's third largest food crop after wheat and corn. Geographic authentication of rice has recently emerged as an important issue for enhancing human health via food safety and quality assurance. Here, we aimed to discriminate rice from six Asian countries through geographic authentication using combinations of elemental/isotopic composition analysis and chemometric techniques. Principal components analysis could distinguish samples cultivated from most countries, except for those cultivated in the Philippines and Japan. Furthermore, orthogonal projection to latent structure-discriminant analysis provided clear discrimination between rice cultivated in Korea and other countries. The major common variables responsible for differentiation in these models were ${\delta}^{34}S$, Mn, and Mg. Our findings contribute to understanding the variations in elemental and isotopic compositions in rice depending on geographic origins, and offer valuable insight into the control of fraudulent labeling regarding the geographic origins of rice traded among Asian countries.

• Journal of the Korean Geographical Society
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• v.31 no.1
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• pp.38-48
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• 1996

Value objectives have been relatively neglected in geography education. Then in this study I reviewed some value objectives and their contents which have been discussed in geographic education and curriculum in secondary education. Value objectives which are reviewed in geographic education, are regional consciousness, loving home country and nation, international understanding and citizenship, art of landscape, natural and environmental beauty, and human right. But values objectives in geography curriculum are included value incalculation: national development, participation in economic development, etc.. Namely development education is more emphasized than individual life and experience in geographic education. Value objectives should be on the basis of social education and citizenship education for geographic education. Futhermore, it is required to develop teaching methods which help student's socialization and social competence through geography education focused on value objectives and their content.

• Knowledge Management Research
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• v.17 no.3
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• pp.45-64
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• 2016

As the digital retail environement becomes prevalent, consumers are given greater opportunities to make purchases across physical and digital boundaries. Prior research emphasizes that the attractiveness of the digital or online channel is relatively determined by spatial specifics of physical locations. The overall market trend combined with prior research suggests that understanding spatial specifics becomes a key to managing both offline and online sales performance together. In this study, we focus on geographic variation in sales performance through offline and online channels and aim to investigate the channel-level sales difference between central and subsidiary areas. To this end, we obtain sales data of skincare and makeup products from a leading cosmetic company. Next, we examine spatial autocorrelations in data and then employ the spatial error models to study the effects of spatial specifics. The empirical findings are as follows. First, there are significant differences in category-specific and channel-level sales between central and subsidiary areas. Second, Moran's I statistics demonstrate the spatial autocorrelations of each variable. Third, spatial error models outperform simple regression models with lower AIC values. Finally, spatial specifics play a greater role in understanding online sales in subsidiary areas whereas they exert greater influence on offline sales in central areas. We believe our study advances the related theory and knowledge of multi-channel retailing and also contributes practically to location-dependent multi-channel strategies and sales data analytics.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.3
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• pp.96-109
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• 2011

Recently, the geographic information system(GIS) is generally used in various fields with the development of information and communication technology, with expansion of its applications and utilization scope. Especially, utilizing GIS is expected to have positive effects on the geography learning and more helpful for the geographic information observation compared to the picture or 2D based media. The effective visualization of complex geographic data does not only take realization of its visual information but also increases the human ability in analysis and understanding to use the geographic information. In this paper, we examine a method to develop the geography learning contents based on the technology with augmented reality and GIS, and then we have a case study for various kinds of visualization techniques and examples to use in geography learning situation. Moreover, we introduce an example of the manufacturing process from the existing GIS data to augmented reality based geography learning system. From the above, we show that the usefulness of our method is applicable for effective visualization of the three-dimensional geographic information in the geography learning environment.

• Journal of the Korean Society for information Management
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• v.28 no.3
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• pp.163-178
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• 2011

Using the library users' data in Lake County Public Library Systems, Florida, US, this study discussed how geographic information systems can be applied in LIS fields. These data were analyzed with such GIS functions as geocoding, Thiessen polygon, density, buffer, and distance measurement. Results indicate that findings from a study of these functions allowed for, not only a better understanding of the geographic locations of library users and user's library activity patterns, but also for the ability to identify library market areas for future library service planning. Additionally, results from a study of the Thiesen polygon and buffer functions indicated the distance impact on library use. Regarding the travel distance of library users, the measurement of distance using road networks was suggested.

• Journal of the Korean Geographical Society
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• v.48 no.3
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• pp.482-496
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• 2013

This study aims to investigate high school students' misconceptions in the subject of Korean geography, and further to create categories to systematically understand the misconceptions. The researcher asked experienced geography teachers to produce a list of students' geographic misconceptions, and then classified the misconceptions. The following five categories were created: 1) self-centered understanding based on everyday life and experience, 2) confusion by words, 3) inappropriate applications of operational definition or geographic concepts, 4) naive inference, and 5) inflexible generalization. The validity of this classification was established through a panel discussion with experts in geography education. The misconceptions that belonged to the categories of naive inference and inflexible generalization occupied a great portion. The misconception list in this study provides a useful data-set for researchers whose interest lies in misconception, and geography teachers can devise a lesson plan that explicitly emphasizes correct geographic concepts to prevent students from establishing misconceptions.

• Journal of the Korean Association of Geographic Information Studies
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• v.4 no.4
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• pp.8-20
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• 2001

The main purpose of this study is to introduce a new method of evaluation, and to suggest how to apply geographic information system for optimum public facility site selection. For this purpose, a new evaluation model for the site selection is developed. The model provides a simple and easy method of evaluation. It also allows differences among location factors through two step weighting procedures. For a better understanding of the model, solution procedures and visual figures are illustrated with the case of Dalseong-Gun's city hall location example.

• Journal of the Korean Society for Library and Information Science
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• v.34 no.4
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• pp.143-160
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• 2000

The primary purpose of the present study is two-fold: i) to analyze the level of understanding and perception of stakeholders on the dissemination policy of digital geographic information and ii) to explore the policy direction to enhance the user accessibility based upon stakeholder analysis. The study is composed of descriptive analysis with extensive literature review and empirical analysis. The empirical analysis employs qualitative method as well as quantitative one, articulating perception of stakeholders in a comparative manner and suggesting policy directions. Based on the interview and the survey results, the study proposes the overall directions of dissemination policy to facilitate the efficient use of digital geographic information.

• Journal of Distribution Science
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• v.22 no.8
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• pp.37-53
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• 2024

Purpose: Global warming is increasingly aggravated by environmental degradation, a challenge that can be mitigated through strategic logistic policies. This study introduces the dynamics of green trade in environmental goods for the Organisation of Islamic Cooperation (OIC) nations. It is a region known for its high environmental degradation, political risk and instability. This study examines how technological innovation and political factors influence the geographic distribution of green trade among OIC nations from 1994 to 2021 using the structural gravity model. The COVID-19 pandemic further emphasised the need for resilient and eco-friendly approaches. Research design, data and methodology: The main objective of the study is to analyse the impact of technological innovation along with scrutinising political determinants of green trade in the OIC region from 1994 to 2021 using the structural gravity model. Results: The results reveal geographic proximity, RTA, and innovation significantly boost green trade. Similarly, OIC's green trade performance has been impeded by high political risk and instability. Conclusions: The research recommends fostering political stability, and conducting further research using longitudinal studies and machine learning to strengthen the understanding of innovation and green trade in the OIC. This will inform policies for sustainable economic growth through green trade.