• Title/Summary/Keyword: Spatial Information.

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A Study on the Spatial Data Infrastructure Development Methods in Abu Dhabi through Gap Analyses on Spatial Information between the Emirate of Abu Dhabi and the Republic of Korea (한국-아부다비 공간정보 격차분석을 통한 아부다비 공간정보인프라의 발전 방안 연구)

  • Kim, Kirl
    • Spatial Information Research
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    • v.23 no.3
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    • pp.101-111
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    • 2015
  • The Emirate of Abu Dhabi is swiftly rising into a newly industrialized country by achieving economic prosperity among the Islamic cultural regions of Middle East and North Africa(MENA). Abu Dhabi Emirate is performing the conversion from oil economy to non-oil economy and the sustainable urban development policy. However, there are various social and environmental problems in Abu Dhabi. In order to solve the urban problems caused by the rapid economic growth and the changes in society and environment, Abu Dhabi is recognizing the importance of spatial information and triggering the establishment of spatial information. Spatial information is regarded as a basic infrastructure for urban construction and enlarged as a blue ocean market in Abu Dhabi. However, the base of spatial data infrastructure in Abu Dhabi is not well managed in comparison to that of Korea. Especially, Abu Dhabi has some characteristics that it depends on foreign multinational companies and it does not have its own systemic organization and law system. To advance into Abu Dhabi spatial data market under-controlled by global vendors, it is necessary to identify the advantage and disadvantage on spatial data infrastructure of Abu Dhabi and required to establish the advance methods into niche markets by considering priority order of spatial information. Thus, this study aims to analyze the gap of spatial information between Abu Dhabi and Korea and suggest the short and long term development methods for spatial data infrastructure of Abu Dhabi. The results of gap analyses will be the milestone for Korean companies' advance into MENA.

An Evaluation of the Importance of Major Indicators for Measuring the Level of Spatial Informatization in Local Governments (지방정부의 공간정보화 수준 측정을 위한 주요 지표의 중요도 평가)

  • Kim, Yeon-Seong;Seo, Won-Chan;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.5
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    • pp.985-994
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    • 2022
  • This study diagnoses the maturity level of local government's spatial information policy in the face of the digital transformation period. To this end, by using the stratification (AHP) analysis technique, for the spatial information expert group, the importance evaluation is performed along with the selection of measurement indicators of the level of spatial informatization. First, the current status and indicators in terms of spatial information policies of local governments are studied through theoretical considerations. In addition, by examining previous studies, differentiation from this study is presented. In this study, 3 indicators and 18 detailed items of spatial informatization level evaluation indicators could be selected. As a result of the evaluation, the overall importance ranking for the measurement index was 0.125 (12.5%) for the establishment and utilizations of GIS Systems provided by local governments, 0.109 (10.9%) for the quality management of basic spatial information, 0.107 (10.7%) for the establishment and utilization of its own spatial information. 0.073 (7.3%) for the collaboration and sharing within the institution, 0.071 (7.1%) for the operation of education and support system on spatial information, 0.065 (6.5%) for the securing a dedicated organization and professional human resources, and interest at the institutional level were derived in the order of 0.053 (5.3%). The results of this study are expected to be usefully utilized as basic data to evaluate the level of spatial information policies promoted by local governments. In addition, if the local government's spatial information policy is pursued centering on the major indicators derived from the study, it is expected that efficient policy operation will be possible.

An Accuracy Analysis on Quantity Take-off Using BIM-based Spatial Object (BIM 기반의 공간객체를 이용한 물량산출 정확성 분석)

  • Cha, You-Na;Kim, Seong-Ah;Chin, Sang-Yoon
    • Journal of KIBIM
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    • v.4 no.4
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    • pp.13-23
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    • 2014
  • After being introduced, Building Information Modeling (BIM) has been actively applied to the cost estimation of construction projects, and various studies on BIM based quantity take-off have been carried out. In practice, however, these calculations take considerable time, because BIM based quantity take-off is further conducted along with 2D-based quantity take-off. Studies on the quantity take-off using BIM spatial objects have been carried out on early stages of projects, but how this method differs from the existing quantity take-off method and how accurate it is in comparison have rarely been verified. Therefore, by comparing 2D based quantities with quantities through BIM spatial objects, this study analyzed the accuracy of quantity take-off using BIM spatial objects. To this end, the properties of BIM spatial objects and quantity calculable spatial types were analyzed, and existing 2D-based quantities and quantities extracted from BIM spatial objects were compared through a case study. As a result, the quantity of spatial objects found to be more by about 7.13% in 0.05% and therefore, this difference should be considered during quantity take-off using BIM spatial objects. Through the results of this study, we can improve the accuracy of quantity take-off using BIM spatial objects in the early stage of a construction project.

Computing The Spatial Skyline (Spatial Skyline을 계산하는 기하 알고리즘)

  • Son, Wan-Bin;Ahn, Hee-Kap;Hwang, Seung-Won
    • Proceedings of the Korean Information Science Society Conference
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    • 2008.06b
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    • pp.588-591
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    • 2008
  • 본 논문은 Data mining에서 선호도 분석 등에 사용되는 Skyline Query[2] 중 자료의 속성에 spatial한 성질이 있을 때 사용할 수 있는 Spatial Skyline Query[3] 문제에 대해 연구한다. 우선 Spatial Skyline 집합을 추출하기 위한 기존의 알고리즘의 문제점을 짚어보고 보다 개선된 알고리즘을 제시한다. 또한 전체 Spatial Skyline 집합이 아닌 그 중 더 의미 있을 수 있는 부분 집합을 좀 더 빠른 시간 복잡도에 구하는 방법 또한 제시한다.

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Detection of Hotspots on Multivariate Spatial Data

  • Moon, Sung-Ho
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.4
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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.

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A Study on Construction & Management of Urban Spatial Information Based on Digital Twin (디지털트윈 기반의 도시 공간정보 구축 및 관리에 관한 연구)

  • Lih, BongJoo
    • Journal of Cadastre & Land InformatiX
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    • v.53 no.1
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    • pp.47-63
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    • 2023
  • The Seoul Metropolitan Government is building and operating digital twin-based urban spatial information to solve various problems in the city and provide public services. Two essential factors to ensure the stable utilization of spatial information for the implementation of such a digital twin city are the latest and quality of the data. However, it is time-consuming and costly to maintain continuous updating of high-quality urban spatial information. To overcome this problem, we studied efficient urban spatial information construction technology and the operation, management, and update procedures of construction data. First, we demonstrated and applied automatic 3D building construction technology centered on point clouds using the latest hybrid sensors, confirmed that it is possible to automatically construct high-quality building models using high-density airborne lidar results, and established an efficient data management plan. By applying differentiated production methods by region, supporting detection of urban change areas through Seoul spatial feature identifiers, and producing international standard data by level, we strengthened the utilization of urban spatial information. We believe that this study can serve as a good precedent for local governments and related organizations that are considering activating urban spatial information based on digital twins, and we expect that discussions on the construction and management of spatial information as infrastructure information for city-level digital twin implementation will continue.

Main Memory Spatial Database Clusters for Large Scale Web Geographic Information Systems (대규모 웹 지리정보시스템을 위한 메모리 상주 공간 데이터베이스 클러스터)

  • Lee, Jae-Dong
    • Journal of Korea Spatial Information System Society
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    • v.6 no.1 s.11
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    • pp.3-17
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    • 2004
  • With the rapid growth of the Internet geographic information services through the WWW such as a location-based service and so on. Web GISs (Geographic Information Systems) have also come to be a cluster-based architecture like most other information systems. That is, in order to guarntee high quality of geographic information service without regard to the rapid growth of the number of users, web GISs need cluster-based architecture that will be cost-effective and have high availability and scalability. This paper proposes the design of the cluster-based web GIS with high availability and scalability. For this, each node within a cluster-based web GIS consists of main memory spatial databases which accomplish role of caching by using data declustering and the locality of spatial query. Not only simple region queries but also the proposed system processed spatial join queries effectively. Compare to the existing method. Parallel R-tree spatial join for a shared-Nothing architecture, the result of simulation experiments represents that the proposed spatial join method achieves improvement of performance respectively 23% and 30% as data quantity and nodes of cluster become large.

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A Study on the Development of Indoor Spatial Data Model Using CityGML ADE (CityGML ADE를 이용한 실내공간 데이터모델 개발에 관한 연구)

  • Kang, Hye Young;Hwang, Jung Rae;Lee, Ji Yeong
    • Spatial Information Research
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    • v.21 no.2
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    • pp.11-21
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    • 2013
  • W ith the recent increasing build and application for 3D spatial information, the importance of management and application for spatial information based on indoor space has been increased. Especially, Due to the increasing of the scale and complexity of the building according to the development of construction technologies several studies have been conducted to provide the services based on indoor space such as indoor navigation for disaster. Therefore, to efficient manage and service for information of complicated indoor space, it is necessary to extend and develop 3D spatial model and services that have been developed for outdoor space. In this paper, Indoor Spatial Data Model(ISDM) is developed to support building spatial information for complicated indoor space and location based services through topological information. ISDM contains a feature model which is a CityGML Application Domain Extension(ADE) model and a topology model that refers the IndoorGML.

A Study on Position Matching Technique for 3D Building Model using Existing Spatial Data - Focusing on ICP Algorithm Implementation - (기구축 공간데이터를 활용한 3차원 건물모델의 위치정합 기법 연구 - ICP 알고리즘 구현 중심으로 -)

  • Lee, Jaehee;Lee, Insu;Kang, Jihun
    • Journal of Cadastre & Land InformatiX
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    • v.51 no.1
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    • pp.67-77
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    • 2021
  • Spatial data is becoming very important as a medium that connects various data produced in smart cities, digital twins, autonomous driving, smart construction, and other applications. In addition, the rapid construction and update of spatial information is becoming a hot topic to satisfy the diverse needs of consumers in this field. This study developed a software prototype that can match the position of an image-based 3D building model produced without Ground Control Points using existing spatial data. As a result of applying this software to the test area, the 3D building model produced based on the image and the existing spatial data show a high positional matching rate, so that it can be widely used in applications requiring the latest 3D spatial data.

Constructing PKIMS based on SDI(Spatial Data Infrastructure) Supporting Efficient Park Administrative Service -Case of Daegu Metropolitan Cty- (효율적 공원행정업무 지원을 위한 공간정보통합체계기반 KIMS(ParK Information Management System) 구축 -대구광역시를 중심으로-)

  • Jo, Yun-Won
    • Journal of Korean Society for Geospatial Information Science
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    • v.17 no.2
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    • pp.37-46
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    • 2009
  • In this study the infrastructure of PKIMS(ParK Information Management System) was constructed based on SDI(Spatial Data Infrastructure) not only to provide the consistent spatial information of the space called park but also to share the latest information so that administrative officers could make people satisfied for their information request and promote consistent policy for the park management. PKIMS was developed by integrating with SDI for all life cycle of spatial data such as the data generation, use and share so that the efficiency and executive of administrative services could be acquired. Moreover, this construction of successful application system based on SDI would be the very good sample for implementation of NSDI(National Spatial Data Infrastructure).

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