• 한국공간정보시스템학회:학술대회논문집
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• 2005.05a
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• pp.9-14
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• 2005

교통정책과 계획수립에 가장 중요한 의사결정 과정은 통행수요 분석이고, 이에 활용되고 있는 필수적인 기초 데이터베이스는 분석용 네트워크와 기종점 통행량이 있다. 통행수요 추정과정의 합리성이 보장되도록 하기 위해서는 이러한 기본 입력 자료의 신뢰성은 중요하다. 하지만, 일반적으로 분석용 네트워크를 구축할 때 예산과 분석기간의 제약 때문에 실세계의 교통망 중 많은 부분을 단순화 시켜서 구축한다. 또한 기 구축된 네트워크에 대해서도 변경되는 교통망을 반영하기 위해 네트워크를 수정, 편집할 때에도 많은 재원과 시간이 소요된다. 본 연구에서는 이러한 문제점을 보완하고자 교통분석 목적의 패키지(EMME/2, TranPlan) 혹은 범용의 GIS 패키지(ArcGIS)에서 직접 이용할 수 있도록 기 구축된 네트워크를 기반으로 GIS 데이터로의 변환 혹은 네트워크를 추출하는 양방향 데이터 교환 시스템을 개발하였다. 이러한 GIS-T 통합 시스템은 네트워크의 편집과 분석에 효율적인 환경을 제공하여 보다 현실적인 교통망 모델링을 반영할 것으로 기대되며 다양한 교통문제에 대한 분석에 효과적인 도구로 활용될 수 있을 것이다.

• Spatial Information Research
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• v.21 no.5
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• pp.7-14
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• 2013

Recently, BIM(Building Information Model) is widely applied to all stages of SOC (Social Overhead Capital)facilities life cycle from planning to maintenance. While BIM is an analysis tool focussing the inner space of facilities, GIS is principally applied to analyzing relationship between facilities. Therefore, integrating BIM and GIS, we expect to get a potential synergy effect in aspects of effective information management and various analysis for SOC facilities. This paper deals with prioritizing SOC facilities for applying BIM/GIS integrating platform to local governments. First, investigate facilities required by law, and identify SOC facilities suitable for SOC characteristics. Second, analyze the effectiveness and applicability of BIM/GIS integrating platform applying each facility. For the purpose, we quantify effectiveness and applicability in aspects of UIS management and GIS functions. Lastly, prioritize the SOC facilities applying BIM/GIS integrating platform.

• Annual Conference of KIPS
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• 2001.10a
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• pp.81-84
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• 2001

3 차원 GIS 소프트웨어를 개발하기 위한 기술로는 공간데이터처리 및 공간분석기술, 컴퓨터그래픽스 및 가상현실 기술에 이르기까지 다양한 연구가 요구된다. 지리정보 가시화(Visualization)에 관한 연구는 여러 GIS 응용분야에서 주요한 부분이 된다. 현재 2 차원 기 구축된 데이터를 이용하여 3차원으로 가시화 및 분석을 수행할 수 있다는 것은 데이터와 소프트웨어 재사용 및 비용측면에서 중요한 의미를 가진다. 본 논문에서는 2차원 데이터와 최소한의 3차원 부가정보(빌딩높이, 도로폭등)를 이용하여 규칙기반 모델링(Rule-Based Modeling)을 통해 3 차원으로 모델링 해 낼 수 있는 3 차원 장면 모델러 컴포넌트 설계 방법을 제안한다. 시설물의 다양한 상세도 제어가 가능한 LOD(level-of detail) 모델러와 3 차원 장면을 효율적으로 관리하기 위한 장면 그래프(scene graph) 컴포넌트 설계 기술을 소개한다. 장면 모델러 컴포넌트 분석을 위해 처리하는 입력 데이터, 수작업 3 차원 모델링 여부, 소프트웨어 재사용성, 상호운용성, 구축 비용 등을 기준으로 분석하였다.

• 한국공간정보시스템학회:학술대회논문집
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• 2002.03a
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• pp.29-37
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• 2002

지난 수십년간 GIS(Geographic Information System) 분야에서는 소프트웨어의 비약적인 발전과 더불어 광대한 양의 공간데이터 구축이 이루어졌다. 이러한 공간데이터는 분산되어 있으며 지리정보 응용시스템의 특정 포맷으로 동일한 지역과 데이터로 중복 구축되어 비용의 낭비뿐만 아니라 신규 구축 시 필요한 시간 및 인력의 낭비를 가져오고 있다. 이를 방지하기 위하여 이기종간 분산되어 있는 공간데이터를 공유 및 관리하기 위한 메타데이터 구축이 절실히 요구되어 국제표준단체(ISO/TC 211)를 통한 메타데이터 표준이 진행되고 있으며 국내의 경우 한국전산원을 주도로 이루어지고 있다. 본 연구는 국제 표준화 동향에 발맞춰 현재 진행되고 있는 국내 메타데이터 표준의 동향을 살펴보고 이를 기반으로 생성된 국내 표준 DTD 및 XML을 이용한 실제 응용사례를 분석하였다. 본 연구를 통하여 향후 분산된 공간데이터의 관리 및 공유를 위한 메타데이터의 효율적인 구축을 할 수 있다.

• Korean Journal of Remote Sensing
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• v.15 no.2
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• pp.91-105
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• 1999

Spatial data integration using multiple geo-based data sets has been regarded as one of the primary GIS application issues. As for this issue, several integration schemes have been developed as the perspectives of mathematical geology or geo-mathematics. However, research-based approaches for statistical/quantitative assessments between integrated layer and input layers are not fully considered yet. Related to this niche point, in this study, spatial data integration using multiple geoscientific data sets by known integration algorithms was primarily performed. For spatial integration by using raster-based GIS functionality, geological, geochemical, geophysical data sets, DEM-driven data sets and remotely sensed imagery data sets from the Ogdong area were utilized for geological thematic mapping related by mineral potential mapping. In addition, statistical/quantitative information extraction with respective to relationships among used data sets and/or between each data set and integrated layer was carried out, with the scope of multiple data fusion and schematic statistical assessment methodology. As for the spatial integration scheme, certainty factor (CF) estimation and principal component analysis (PCA) were applied. However, this study was not aimed at direct comparison of both methodologies; whereas, for the statistical/quantitative assessment between integrated layer and input layers, some statistical methodologies based on contingency table were focused. Especially, for the bias reduction, jackknife technique was also applied in PCA-based spatial integration. Through the statistic analyses with respect to the integration information in this case study, new information for relationships of integrated layer and input layers was extracted. In addition, influence effects of input data sets with respect to integrated layer were assessed. This kind of approach provides a decision-making information in the viewpoint of GIS and is also exploratory data analysis in conjunction with GIS and geoscientific application, especially handing spatial integration or data fusion with complex variable data sets.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.3
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• pp.13-22
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• 2012

The spatial structure analysis using the existing space syntax has a weakness only to apply the road factor. Hence, it is necessary to perform a new spatial structure analysis considering the regional characteristics factor as well as the road factor. The purpose of this study is to propose a modified spatial structure analysis which adopts road and regional characteristics factors using the existing space syntax and GIS and then to apply it to the spatial structure analysis of the urbanized areas in Hapdeok town. For the new analysis, the experts' survey has been conducted to derive the spatial structure factors of the area and their relative weights. Specifically, it drew the road factor as well as the regional characteristics factors such as road, district, land value, and building density. This study shows that the existing spatial structure analysis considering only the road factor does not reflect the actual spatial structure but the modified spatial structure analysis considering the road factor and the regional characteristics factors more accurately analyzes the spatial structure of Hapdeok town. Hapdeok is not an area where road networks were developed along main development axis and its centrality was changed, but an area where road networks were developed by effectiveness and equity and its centrality was changed by downtown decline. The towns like Hapdeok is more suitable for applying the modified spatial structure analysis method considering the regional characteristics factors. Further research is required for selecting characteristics factors and appropriate parameters in the modified spatial structure analysis. Further case studies await in other cities for conducting its verification.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.1
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• pp.3-11
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• 2011

This paper aims to develop a web based GIS system which is able to evaluate and visualize the overall degree (in terms of pleasantness and aesthetics) of pedestrian friendliness of the environment, as well as pedestrians' convenience through a Walkability Indicators that simplify pedestrian environment elements into a quantitative index in accordance with characteristics of pedestrian space. To make this goal come true, we developed and applied Walkability index which can measure the pedestrian environment through reflecting quantitative Indicators based on GIS supplementing the limit of Literature Review. In addition, in order to develop index we utilized AHP(Analytic Hierarchy Process) and we displayed measurement result on study area through web GIS Services. The proposed pedestrian measurement system is expected to be applicable in the visualization of pedestrian movements and the evaluation of convenience levels of pedestrian environment.

• Journal of the Korean association of regional geographers
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• v.14 no.2
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• pp.114-125
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• 2008

Colored dissolved organic matter(CDOM) is an important component of ocean color that can be used as an invaluable tool in water quality and ocean color studies. With the largest source of coastal CDOM appearing to be from freshwater discharge into the ocean, coastal predictive models will do much to refine our knowledge about major processes that control CDOM distributions in coastal waters and provide a better insight into the global carbon cycle. This study aims at developing a GIS-based watershed-scale predictive model of CDOM distributions in Neponset river watersheds that can be used to appraise our understanding of CDOM sources and distributions in coastal waters and predict the response of CDOM concentration to changes in land use patterns. Weighting factors are developed for CDOM freshwater sources after extensive groundtruthing from various landuse types in the watershed. This model makes use of a publicly available DEM(Digital elevation model) as the base data for analysis. Stream networks, discharge, and land use data are used from public repositories while sub- watershed delineation, pour-points, and land use parcels are generated using Spatial Analysis of ArcGIS 9.2 to estimate the CDOM loading from various sources to the lower tributaries of rivers. The Neponset Watershed in eastern Massachusetts is selected as the site for development of the model.

• Journal of Korean Society for Geospatial Information Science
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• v.11 no.4 s.27
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• pp.53-60
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• 2003

GIS was introduced to spatial information of complex and various facility systematically and scientifically. And, recently, new trend has been spread by Mobile GIS owing to its fast development of information and communication technology. However, these Mobile GIS techniques were introduced in maintenances of various facilities. Due to its mismanagement, the use became insufficient in facilities causing database creation to require realism and mobility. Therefore, in this research to road facility of various facilities, it deduced improving the work process by using a Mobile GIS to analyze work process of the road facility database creation. And, through an experiment, by comparing and analyzing road facilities database creation process by existing method and improving method, could improvement of road facility database creation using a Mobile GIS.

• Journal of the Korean Geotechnical Society
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• v.20 no.7
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• pp.33-44
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• 2004

This paper is focused on the spatial variability of measured strong motion data during earthquake and its relationship with the performance of water distribution pipelines and residential buildings. Analyses of strong motion and the correlations of peak ground velocity (PGV) and pipeline and building damage were conducted with a very large geographical information system (GIS) database including the relationship of time and earthquake intensity and the measured location, and Kriging spatial statistics. Kriging was used to develop regressions of pipeline repair rate (RR) and residential building damage ratio (DR) associated with $90\%$ confidence peak ground velocity (PGV). Such regressions using Kriging provide an explicit means of characterizing the uncertainty embodied in the strong motion data compared with other spacial statistics such as inverse distance method.