• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.3
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• pp.44-54
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• 2005

Most advanced countries in GIS field have established and managed georeferenced socioeconomic data systematically and made a great profit on various social and economic areas. In Korea, however, socioeconomic geographical information is relatively poor compared to systems related to geographical and topographical features. This is mainly due to the characteristics of the process from the construction to the utilization of socioeconomic data. That is, from the stage of data construction, socioeconomic data require solutions for frequent changes compared to data on geographical and topographical features and, because of difficulties in marking the positions of individual entities, information is built up through setting appropriate spatial units of aggregation. In the stage of data utilization, the data often need to be combined with other types of socioeconomic data due to the complexity of socioeconomic phenomena. Thus, the this study examined usability of GIS in socioeconomic fields and the spatial dimension of socioeconomic information through representative cases of GIS in developed countries and, based on the results, derived data requirements for socioeconomic GIS found in the construction and utilization of data and proposed solutions for the requirements.

• 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 of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.5
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• pp.393-402
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• 2022

Effective data management of underground facilities is very important in terms of human life. For this, input of up-to-date and high-accuracy data should be preceded. Therefore, it is important to have an efficient data input method. In this study, by developing a sewage facility site survey program using open source software, paper drawings could be replaced with tablet PCs. By using a tablet PC, figures and property information acquired from the field are transmitted in real time through a database server. PostGIS query is developed to automate structured editing to minimize manual work in constructing a GIS (Geographic Information System) database for sewage facilities. did. In addition, the database was built using the sewage facility GIS database building program. As a result of comparing and analyzing the existing sewage facility database construction, work process, and work time, the work process was simplified and work time was shortened. In addition, through simple customization of open source software, it will be able to be used for field surveys and database construction in other fields.

• Journal of Korea Spatial Information System Society
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• v.4 no.2 s.8
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• pp.65-74
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• 2002

The CBD(component based development) method has recently been on the rise as the main current among all fields of developing Information Systems. The developing system by building and integrating of components is encouraged in GIS sphere. Business domain which considerably identifies components occupies GIS shpere rather then any other sphere. Arithmetic function is quite needed in GIS sphere but non-arithmetic functions are also used in GIS sphere as well as in enterprise sphere. Component is characterized by ensuring the reuse of itself. The efficiency of reusing component is promoted as the component is functionally simple and is packed to a minimum. The GIS Component Extraction Method has already been presented in several studies but this study is about the GIS Component Extraction by the Affinity Analysis Method. CBD uses UML on a basis and the core of the UML is consisted of the use case and the class. The purpose of the Affinity Analysis is a study how relate between the use case and the class in a certain business domain and then the results identify the component. The Affinity Analysis is useful not only in GIS but also in every business domain and is considered to be popular as the procedure of this method is not complex at all.

• Journal of Korea Spatial Information System Society
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• v.7 no.2 s.14
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• pp.3-14
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• 2005

The purpose of this study is to present the role of NGIS(National Geographic Information System) and the development strategy for Business GIS in the ubiquitous society. We analyze the level of GIS technology with the ICT(Information Communication Technology) as well as GIS application trends especially in location-based circumstances. Also, we advocate not only making GIS contents to meet the international standards such as GML(Geography Markup Language) and TPEG(Transport Protocol Experts Group) but applying GIS as a killer application to oncoming diverse ICT areas including LBS(Location -Based Service), Telematics, ITS(Intelligent Transport System), gCRM(geographic Customer Relationship Management), DMB(Digital Multimedia Broadcasting), u(ubiquitous)-City and u-Town. Finally, we build a conceptual Business GIS model based on NGIS for QoS, standardization, R&D, education, and security.

• Journal of the Korean Association of Geographic Information Studies
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• v.4 no.1
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• pp.1-17
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• 2001

This research is primarily intended to develop a decision-making support system about the natural environment in the country by integrating various formats of spatial data into a comprehensive GIS database. The first part of the research is to design GIS database as a means of combining thematic cartographic data with field survey records. Ecosystem records acquired by a field sampling have been reproduced as digital thematic maps. The database also included various natural environment related data (map for forestry, soil, national park etc.) collected from many other agencies. The second part of the research is devoted to the design of efficient man-machine interfaces. A key concern in the GUI (graphic user interface) design process was to address the need to handle and to manage large databases by non-GIS experts. The system has been checked experimentally, enabled the users to quarry the data required simply and execute spatial analysis accommodating versatile alternatives in decision-making process. Detailed visual maps can be generated over large areas quickly and easily. The system will serve to increase the scientific and objective decision-making by overcoming serious constraints suffered from the past non-GIS-based approach. It is anticipated that this research output could be used as a valuable reference in building a nationwide natural environment GIS-DB (database) in the central and local governments.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2006.05a
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• pp.37-42
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• 2006

GIS분야에 대한 다양한 연구가 진행됨에 따라 그 활용에 대한 관심도 확대되고 있다. Open GIS Consortium에서는 GML(Geography Markup Language)을 개발하여 이를 GIS 응용분야에 활용하고자 하는 연구가 활발히 진행되고 있다. GML데이터에서 의미 있는 정보를 추출하기 위해서는 데이터 마이닝 기법 활용이 필수적이다 최근에 데이터마이닝 기법 중 연관규칙을 이용한 탐색 방법이 제안되었다. 그러나 이 방법은 전체 데이터를 대상으로 의미 있는 정보를 탐색 하므로, 데이터 내에 포함되어 있는 부분 속성인 지리 공간적 연관성을 탐색하는데 한계를 가지고 있다. 따라서 녈 연구에서는 GML데이터에서 부분적 속성을 고려한 지역적 연관규칙 탐색 기법을 제안한다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2004.03a
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• pp.133-139
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• 2004

우리나라의 경우 1990년대에 들어와서 산불발생건수 및 피해지역이 지속적으로 증가하고 있으며 산불피해지 복원기술은 주로 사방복구와 조림 등 녹화기술에 집중되어 있는 실정이다. 본 연구에서는 동해안 산불피해지를 중심으로 산불특성, 임지환경을 고려한 내화수종의 선발 및 GIS 분석 기법을 적용하여 내화수림대를 조성하고 Virtual GIS의 활용을 통하여 공간정보자료가 산불피해지역 복원에 있어서의 경관생태학적 접근연구에 어떻게 활용될 수 있는 것인가에 대한 적용기법을 개발하고자 하였다. 본 연구에서는 GIS 분석기법을 적용하여 대형산불방지를 위한 산불 연소 특성을 고려한 내화수종을 GIS의 공간 분석을 이용하여 조성된 내화수림대에 적정 임분배치를 수행하였다. 아울러 연구 대상지의 나무 생장 모델을 이용하여 경년에 따른 산림경관을 조성하였으며 Virtual GIS를 활용하여 현실세계와 가장 유사한 3차원 지형을 구축하고 Tracking Simulation을 수행하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.214-214
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• 2012

본 논문은 최근 세계적으로 활발히 진행되고 있는 수리정보화시스템의 한 부분이 될 수 있는 하천정보화시스템의 구축의 근간이 되는 3차원 하천 자료 모형으로 개발된 아크리버 (Arc River)자료 모형을 소개한다. Arc River는 지리정보시스템(GIS)에 기반하여 수립되었고 최신 하천 유동 및 하상 계측기법으로 확보된 방대한 양의 관측 자료를 수집, 저장, 처리, 검색, 그리고 분석할 수 있게 하는 표준화된 자료 모형 (data model)이다. Arc River는 지난 10년간 유역 자료 모형의 표준으로 사용되어 온 Arc Hydro 모델의 한계를 극복하여 3차원에서 시공간적으로 변화하는 복수의 하천 관측 자료를 효율적으로 연계하고 GIS에서 활용할 수 있도록 설계되었다. 본 논문은 Arc River의 다양한 설계 원리에 대해 설명하고 실제 ADCP 자료를 활용하여 활성화된 Arc River의 예를 제시한다. Arc River는 향후 하천을 유지, 관리, 해석에 있어 필요한 3차원 하천정보화시스템의 구축의 근간을 이루고 국내에서도 그 활용을 범위를 넓힐 것으로 기대한다.

• Korean Journal of Remote Sensing
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• v.38 no.5_2
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• pp.661-667
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• 2022

As remote sensing and GIS have been considered to be essential technologies for disasters information production, researches on developing methods for analyzing spatial data, and developing new technologies for such purposes, have been actively conducted. Especially, it is assumed that the use of remote sensing and GIS for disaster management will continue to develop thanks to the launch of recent satellite constellations, the use of various remote sensing platforms, the improvement of acquired data processing and storage capacity, and the advancement of artificial intelligence technology. This spatial issue presents 10 research papers regarding ship detection, building information extraction, ocean environment monitoring, flood monitoring, forest fire detection, and decision making using remote sensing and GIS technologies, which can be applied at the disaster prediction, monitoring and response stages. It is anticipated that the papers published in this special issue could be a valuable reference for developing technologies for disaster management and academic advancement of related fields.