• 대한공간정보학회지
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• 제17권1호
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• pp.141-147
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• 2009

상점의 정보, 서비스업 등을 영위하기 위한 공간입지에 대한 정보(인구생태학적 변수, 사회생태학적 변수)의 탐색적 자료 분석을 위해 공간 특성분석이 필요하다. 따라서 본 연구에서는 지리적 공간상에서 공간객체간의 상호의존성과 상호작용과 통계적 상관분석을 이용하여 서비스업종간의 상관분석법을 제시하고자 하며, 또한 근린상권의 업종 간 상관관계분석의 도출을 통하여 공간특성에 대한 분석을 하기 위함이다.

• Spatial Information Research
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• 제20권6호
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• pp.69-76
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• 2012

본 연구에서는 산업연관분석을 통해 공간정보산업의 특징을 도출하였다. 이를 위하여 공간정보산업을 재분류하고 이에 맞게 산업연관표를 수정하여 공간정보산업을 분석하였으며 생산유발계수, 영향력계수, 감응력계수를 도출하였다. 그 결과 공간정보산업은 생산유발효과는 작으나 전방연쇄효과가 매우 큰 산업으로 확인되었다. 이를 기반으로 공간정보산업 육성을 위한 정책의 방향성을 '산업생태계 조성, 고도화와 활용도 향상 병행, 장기적 관점 수립'으로 제시하였다.

• Journal of the Korean Data and Information Science Society
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• 제15권1호
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• pp.83-94
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• 2004

In this study we analyze categorical data by means of spatial statistics and echelon analysis. To do this, we first determine the hierarchical structure of a given contingency table by using echelon dendrogram then, we detect candidates of hotspots given as the top echelon in the dendrogram. Next, we evaluate spatial scan statistics for the zones of significantly high or low rates based on the likelihood ratio. Finally, we detect hotspots of any size and shape based on spatial scan statistics.

• 한국산업융합학회 논문집
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• 제26권4_2호
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• pp.669-678
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• 2023

Recently, spatial information has been applied to various fields and its usability is increasing day by day. In particular, in the field of civil engineering and construction, BIM based on spatial information is being applied to all construction industries and related research has been conducted. BIM is a technology that utilizes spatial information from the design phase and aids in the construction and maintenance of buildings, including the management of their attributes. However, to apply BIM technology to existing buildings, it takes a lot of time and money to produce models based on design drawings along with current surveying. In this study, quantitative and qualitative analysis was conducted to determine the applicability of the acquired data and the applicability of BIM by generating data and analyzing the accuracy using UAV images and ground lidar, which are representative spatial information acquisition methods. Quantitative analysis revealed that TLS (Terrestrial Laser Scanner) showed reliable accuracy in both planar and elevation measurements, whereas unmanned aerial images exhibited lower accuracy in elevation measurements, resulting in reduced reliability. Qualitative analysis indicated that neither TLS nor unmanned aerial images alone provided perfect completeness. However, the combination of both spatial information sources, tailored to specific needs, resulted in the most comprehensive completeness. Therefore, it is concluded that the appropriate utilization of spatial information acquired through unmanned aerial images and TLS holds the potential for application in the fields of BIM and reverse engineering.

• Journal of the Korean Data and Information Science Society
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• 제17권4호
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• pp.1141-1150
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• 2006

In this study, we performed spatial cluster analysis which considered spatial information using earthquake data for Korean peninsula occurred on 1978 year to 2005 year. Also, we look into how to be clustered for regions using earthquake magnitude and frequency based on spatial scan statistic. And, on the basis of the results, we constructed earthquake map by earthquake outbreak risk and gave a possible explanation for the results of spatial cluster analysis.

• 지적과 국토정보
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• 제50권2호
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• pp.101-115
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• 2020

자율주행 분야 글로벌 동향 파악 및 공간정보 서비스 활성화 방안 도출을 위해 빅데이터 분석방법을 활용하였다. 사용된 빅데이터는 뉴스기사와 특허문헌을 상호 연계하여 활용하고, 뉴스 기사를 통한 동향 분석, 특허문헌 정보를 활용한 기술 분석이 진행 되었다. 본 논문에서는 자율주행에 대한 주요 뉴스에서 토픽모델을 기반으로 한 LDA(Latent Dirichlet Allocation)를 활용하여 빅데이터화 하고 주요 단어를 추출하였다. 특허정보의 주요 단어를 기반으로 적용된 워드넷(WordNet)을 활용하여 공간정보와 연계성 분석, 글로벌 기술 동향 분석을 실시하고 공간정보 분야의 동향 분석 및 예측을 실시하였다. 본 논문에서는 주요뉴스와 특허문헌 정보를 기반으로 한 빅데이터 분석방법으로 자율주행 분야와 공간정보와의 연계성 분석을 통하여 최신 동향과 미래를 예측하는 방법을 제시한다. 빅데이터 분석으로 도출된 자율주행 분야 공간정보의 글로벌 동향은 플랫폼 얼라이언스, 비지니스 파트너쉽, 기업 인수합병, 합작회사 설립, 표준화 및 기술개발로 도출되었다.

• 한국측량학회지
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• 제34권6호
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• pp.579-589
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• 2016

This research focuses on accomplishing analysis problems and issues by examining the policies and systems related to geo-spatial big data which have recently arisen, and suggests political and systemic improvement plan for service activation. To do this, problems and probable issues concerning geo-spatial big data service activation should be analyzed through the examination of precedent studies, policies and planning, pilot projects, the current legislative situation regarding geo-spatial big data, both domestic and abroad. Therefore, eight political and systematical improvement plan proposals are suggested for geo-spatial big data service activation: legislative-related issues regarding geo-spatial big data, establishing an exclusive organization in charge of geospatial big data, setting up systems for cooperative governance, establishing subsequent systems, preparing non-identifying standards for personal information, providing measures for activating civil information, data standardization on geo-spatial big data analysis, developing analysis techniques for geo-spatial big data, etc. Consistent governmental problem-solving approaches should be required to make these suggestions effectively proceed.

• Journal of the Korean Data and Information Science Society
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• 제17권4호
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• pp.1181-1190
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• 2006

Statistical analyses for spatial data are important features for various types of fields. Spatial data are taken at specific locations or within specific regions and their relative positions are recorded. Lattice data are synoptic observation covering an entire spatial region, like cancer rates corresponding to each county in a state. Until now, the echelon analysis has been applied only to univariate spatial data. As a result, it is impossible to detect the hotspots on the multivariate spatial data In this paper, we expand the spatial data to time series structure. And then we analyze them on the time space and detect the hotspots. Echelon dendrogram has been made by piling up each multivariate spatial data to bring time spatial data. We perform the structural analysis of temporal spatial data.

• 한국지구과학회지
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• 제25권1호
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• pp.10-21
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• 2004

Recently, spatial data integration for geoscientific application has been regarded as an important task of various geoscientific applications of GIS. Although much research has been reported in the literature, quantitative assessment of the spatial interrelationship between input data layers and an integrated layer has not been considered fully and is in the development stage. Regarding this matter, we propose here, methodologies that account for the spatial interrelationship and spatial patterns in the spatial integration task, namely a multi-buffer zone analysis and a statistical analysis based on a contingency table. The main part of our work, the multi-buffer zone analysis, was addressed and applied to reveal the spatial pattern around geological source primitives and statistical analysis was performed to extract information for the assessment of an integrated layer. Mineral potential mapping using multi-source geoscience data sets from Ogdong in Korea was applied to illustrate application of this methodology.

• Advances in aircraft and spacecraft science
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• 제10권6호
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• pp.545-554
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• 2023

The widespread introduction of unmanned aircrafts has led to the understanding of the need to organize a common information space for manned and unmanned aircrafts, which is reflected in the Russian Unmanned aircraft system Traffic Management (RUTM) project. The present article deals with the issues of spatial information database (DB) organization, which is the core of RUTM and provides storage of various data types (spatial, aeronautical, topographical, meteorological, vector, etc.) required for flight safety management. Based on the analysis of functional capabilities and types of work which it needs to ensure, the architecture of spatial information DB, including the base of source information, base of display settings, base of vector objects, base of tile packages and also a number of special software packages was proposed. The issues of organization of these DB, types and formats of data and ways of their display are considered in detail. Based on the analysis it was concluded that the optimal construction of the spatial DB for RUTM system requires a combination of different model variants and ways of organizing data structures.