• Korean Journal of Remote Sensing
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• v.36 no.4
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• pp.637-643
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• 2020

In this study, the information from environmental impact statements was converted into spatial data because environmental data from development sites are collected during the environmental impact assessment (EIA) process. Spatiotemporal big data were built from environmental spatial data for each environmental medium for 2,235 development sites during 2007-2018, available from public data portals. Comparing air-quality monitoring stations, 33,863 measurement points were constructed, which is approximately 75 times more measurement points than that 452 in Air Korea's real-time measurement network. Here, spatiotemporal big data from 2,677,260 EIAs were constructed. In the future, such data might be used not only for EIAs but also for various spatial plans.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.93-102
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• 2021

This paper aims to study the influence of environmental attitudes on the choice of non-professional investors. It highlights the role of environmental performance assurance on investment judgments. This choice is due to the motivation and importance that investors place on the disclosure of environmental information. The main purpose of the research is focused on the empirical approach justified by the use of a questionnaire addressed to 200 non-professional investors. The results show that attitudes towards the environment do not correlate with the importance that gives this category of investors to the environmental information.. Subsequently, the results prove that the disclosure of an environmental assurance report has a positive impact on investment judgments independently of their appreciation of the environmental information concerning that of financial order.

• Journal of Environmental Impact Assessment
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• v.2 no.1
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• pp.31-38
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• 1993

As the environmental concerns have shifted gradually from the environmental pollutions to the Quality of Life (QOL) enhancement, it has become increasingly important to implement comprehensive assessment of environmental quality for public information as well as decision making. This study focuses on development of PEI(Public Environment Index) which has purposes to improve regional environment and analyzes the status of environment by public as one kind of environmental indices. Factors of PEI calculations are air, water, noise, green space and landscape. Factors are composed of 20 items including soiling and odor. Major contents are calculation of PEI, correlation analysis of factors and items of PEI, regression analysis of PEI and objective environmental indicators prepared as a dong unit, and PEI presentation using GIS. Also, for applying PEI effectively, environmental information as a dong unit is to be collected and managed periodically.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.25 no.2
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• pp.69-84
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• 2022

The purpose of this research is to examine the user experience design that effectively exhibits botanical information through a virtual habitat built with 3D modeling and scanning data for the conservatory at Seoul Botanic Park. Seoul Botanic Park's conservatory contains environmental and ecological information on the wide spectrum of diverse plants under twelve cities all over the world. However, the exhibition method, which focuses on maps and information boards, has limitations in delivering diverse plant and habitat information to visitors. Virtual and augmented reality can be used as an effective tool for educating and experiencing the contents of various plant species as it can convey the ecological and environmental conditions of the habitat and local culture at diverse levels. This study experimented with constructing virtual habitats using the Unreal Engine and effectively communicating various botanical information through the interaction. With the introduction of a virtual habitat, we intend to enhance the user experience of park visitors and ultimately explore the possibility of using virtual and augmented reality to convey multi-layered environmental and ecological information of landscape.

• Journal of Environmental Policy
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• v.13 no.4
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• pp.51-78
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• 2014

Unlike traditional environmental problems, current environmental problems occur due to by complex reasons. These complexities highlight the importance of precise spatial based analysis and expeditive use of environmental information when an environmental problem arises. However, the traditional environmental information has many problems because they are mainly numerical based and scattered in various systems. To overcome these problems, providing integrated environmental spatial information is important. Thus, a research was conducted on establishing national environment atlas system and its implications for policies. Firstly, this study selects 275 out of 2,701 materials and information from Ministry of Environment and related organizations. Secondly, total 64 thematic maps specific business support are Produced to support establishment and implementation of environmental policies. In addition, the produced thematic maps are privatized. Thirdly, the study analyzes total 17 systems and environmental thematic maps of Ministry of Environment and relevant organizations to connect the information on the business support thematic maps. As a result, 1,314 applicable spatial information and 39,331 applicable database based on spatial information based are selected, and a standardization plan is established. Fourthly, the study suggests a stepwise implementation plan for developing a national environment atlas system. The development of national environment atlas system will help establishing an environmental policy based on more relevant and accurale information.

• 한국데이터정보과학회:학술대회논문집
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• 2004.10a
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• pp.77-86
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• 2004

Clustering is the process of grouping the data into clusters so that objects within a cluster have high similarity in comparison to one another. In this paper we used k-means clustering of several clustering techniques. The k-means Clustering is classified as a partitional clustering method. We analyze 2002 Gyeongnam social indicator survey data using k-means clustering techniques for environmental information. We can use these outputs given by k-means clustering for environmental preservation and environmental improvement.

• Journal of the Korean Data and Information Science Society
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• v.15 no.4
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• pp.759-771
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• 2004

The decision tree approach is most useful in classification problems and to divide the search space into rectangular regions. Decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud dection, data reduction and variable screening, category merging, etc. We analyze Gyeongnam social indicator survey data using decision tree techniques for environmental information. We can use these decision tree outputs for environmental preservation and improvement.

• Journal of Environmental Impact Assessment
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• v.7 no.2
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• pp.1-3
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• 1998

• The Journal of Information Systems
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• v.25 no.1
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• pp.25-47
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• 2016

Purpose In this study, the relationships among environmental information exchange with suppliers(EIES), green collaboration with suppliers, green learning by environmental information, the adoption of green supply-chain management techniques(AGSMT) (i.e., the green purchasing, product design and production, and the recovery of extra facilities and inventories), environmental performance, and the organizational performance of a firm were empirically investigated. Design/methodology/approach Data for this study were drawn from a survey of the current status of EIES levels and AGSMT usage observed in Korean manufacturing firms. In total, 500 organizations were randomly selected from a population of about 1,000 firms that are listed on the Korean stock market. In order to collect empirical data, this research administered questionnaires with the sample firms. Only chief production executives were selected as respondents. A questionnaire with a cover letter was mailed to each respondent. The survey was conducted during a 3-month period between March 2015 and June 2015. Finally, 78 valid data of the sample firms were collected. Findings The results of this study showed that EIES positively affects the green corporation and learning. According to the results, it was observed that both green corporation and green learning have a positive impact on the levels of AGSMT(i.e., the green purchasing, product design and production). It was also demonstrated that AGSMT has a direct positive impact on environmental performance. In examining the effects of environmental performance on the organizational performance of a firm, significant impact was found.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.25 no.5
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• pp.15-27
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• 2022

Climate change is considered a severe global problem closely related to carbon storage. However, recent urbanization and land-use changes reduce carbon stocks in terrestrial ecosystems. Recently, the role of protected areas has been emphasized as a countermeasure to the climate change, and protected areas allow the area to continue to serve as a carbon sink due to legal restrictions. This study attempted to expand the scope of these protected areas to an evaluation-based environmental spatial information theme map. In this study, the area of each grade was compared, and the distribution of land cover for each grade was analyzed using the Ecological and Nature Map, Environmental Conservation Value Assessment Map and Urban Ecological Map of Sejong Special Self-Governing City. Based on this, the average carbon storage for each grade was derived using the InVEST Carbon model. As a result of the analysis, the high-grade area of the environmental spatial information generally showed a wide area of the natural area represented by the forest area, and accordingly, the carbon storage amount was evaluated to be high. However, there are differences in the purpose of production, evaluation items, and evaluation methods between each environmental spatial information, there are differences in area, land cover, and carbon storage. Through this study, environmental spatial information based on the evaluation map can be used for land use management in the carbon aspect, and it is expected that a management plan for each grade suitable for the characteristics of each environmental spatial information is required.