• 제목/요약/키워드: Spatial Data Types

검색결과 631건 처리시간 0.027초

GIS 기반 공간정보를 이용한 해양부문의 기후변화 취약성 평가 (Vulnerability Assessment for Ocean to Climate Change Using Spatial Information Based on GIS)

  • 박선민;이우균;권태협;이버들;손요환;조용성
    • Spatial Information Research
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    • 제19권3호
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    • pp.1-9
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    • 2011
  • 자연 및 인간 시스템에 큰 영향을 주고 있는 해양 부문의 기후변화 적응 대책 수립을 위해서는 기본적으로 해양에 대한 기후변화 취약성 평가가 이루어져야 한다. 본 연구에서는 해양 부문의 취약성 평가를 위해 민감성, 적응성, 노출 등의 규준을 설정하고, 각 규준에 적합한 평가지표를 선정 후 지표별 공간자료를 구축하였다. 해양부문에서는 평가지표 자료가 육지영역과 해양영역으로 구분되어 있었으나, 본 연구에서는 행정구역별 육지영역 자료를 해양 영역으로 외삽을 통해 통합하였다. 그 결과, 해양부 문의 취약성을 해양영역에서 공간별로 다양하게 나타낼 수 있었다. 민감성의 경우, 남서쪽 해역이 동해와 서해에 비하여 월등히 높은 값이 나타났고, 노출의 경우 서해와 서 남해 해역이 변화율이 높게 나타났다. 반면 적응성의 경우, 동해가 적응성이 가장 높게 나타났으며 전라남도와 제주도 북쪽 해역 또한 다른 행정구역에 비하여 적응성이 높게 나타났다. 이 세 가지 규준을 통하여 평가한 결과 상대적으로 적응성이 높지만 노출과 민감성은 월등히 높은 값을 나타낸 남서쪽 해역이 두드러지게 취약성이 높게 평가되었다. 하지만 본 연구에서 진행된 해양 부문의 취약성 평가는 제한적인 지표를 사용하였기 때문에 적절한 취약성 평가에 필요한 지표들의 자료구축이 필요하다.

Data Correlation-Based Clustering Algorithm in Wireless Sensor Networks

  • Yeo, Myung-Ho;Seo, Dong-Min;Yoo, Jae-Soo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제3권3호
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    • pp.331-343
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    • 2009
  • Many types of sensor data exhibit strong correlation in both space and time. Both temporal and spatial suppressions provide opportunities for reducing the energy cost of sensor data collection. Unfortunately, existing clustering algorithms are difficult to utilize the spatial or temporal opportunities, because they just organize clusters based on the distribution of sensor nodes or the network topology but not on the correlation of sensor data. In this paper, we propose a novel clustering algorithm based on the correlation of sensor data. We modify the advertisement sub-phase and TDMA schedule scheme to organize clusters by adjacent sensor nodes which have similar readings. Also, we propose a spatio-temporal suppression scheme for our clustering algorithm. In order to show the superiority of our clustering algorithm, we compare it with the existing suppression algorithms in terms of the lifetime of the sensor network and the size of data which have been collected in the base station. As a result, our experimental results show that the size of data is reduced and the whole network lifetime is prolonged.

산재재활전문병원 재활센터의 규모 및 공간구성에 관한 연구 (A Study on the Area Calculation and Spatial Composition of Medical Rehabilitation Center in the Workplace Accident Rehabilitation Hospitals)

  • 이특구;최광석
    • 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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    • 제14권2호
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    • pp.3-14
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    • 2008
  • The rehabilitation for the workplace accident victims is basically aimed to get them back to their working place through the secondary care processes which have some more special and more professional rehabilitation than any others, after the primary treatments like operation in an acute hospital since the accident. They need more concentrative rehabilitation efforts according to classified injury types during the period of acute, sub-acute and convalescent. This study is for the partial research of rehabilitation hospital for workers' accident victims and presents design data which can be used for the appropriate area calculation and spatial composition. Drawing documents analysis, interviews, observation were used to examine the condition of existing rehabilitation hospitals.

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Standardizing Agriculture-related Information Scheme at Various Spatial Resolutions of Remote Sensor Data

  • Kim, Seong J.;Jung, In K.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.561-563
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    • 2003
  • This study is to present a standardized scheme for providing agriculture-related information at various spatial resolutions of satellite images including LANDSAT +ETM, KOMPSAT-1 EOC, ASTER VNIR and IKONOS panchromatic (Pan) and multi-spectral (M/S) images. The satellite images were interpreted especially for identifying agricultural areas, crop types, agricultural facilities and structures. The results were compared with the land cover/land use classification system suggested by Ministry of Construction & Transportation based on NGIS (National Geographic Information System) and Ministry of Environment based on satellite remote sensing data. The results by IKONOS image will be provided to KOMPSAT-2 project for agricultural application.

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Estimation of Winter Wheat Sown Area Using Temporal Characteristics of NDVI

  • Uchida, S.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.231-233
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    • 2003
  • Agricultural land use generally shows specific temporal characteristics of NDVI obtained from satellite data. In terms of winter wheat, a higher value compared with other land use types in May and a considerably low value in June could be discriminative features of temporal change of NDVI. In this study, the author examined methods for estimating winter wheat sown area in sub-pixel level of coarse resolution satellite data using temporal characteristics of NDVI. Application of the methods to the major grain production area in China exhibited properly a spatial distribution pattern of winter wheat sown area.

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대기오염도의 공간적 분포 변화 분석 -수도권 지역을 대상으로- (Spatial Distributions of the Ambient Levels of Air Pollutants in Seoul Metropolitan Area)

  • 권오상;안동환;김원희
    • 자원ㆍ환경경제연구
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    • 제13권1호
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    • pp.83-117
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    • 2004
  • 본 연구는 수도권지역 대기오염 측정망의 오염물질별 연평균 오염도 측정치를 이용하여 최근 10년간의 수도권내 대기오염도의 공간적 분포 및 그 변화를 분석하였다. 분석을 위해 커널확률밀도함수를 추정하고, 또한 지니계수와 엔트로피계열의 불평등지수를 계측하였으며, 분석기간중 오염도의 공간적 분포 변화에 대한 통계적 검정을 실시하였다. 분석결과 최근 10년간 수도권 지역의 $SO_2$, $NO_2$, $O_3$와 CO 등 대기오염물질 오염도의 지역격차는 대체로 일정한 수준을 유지하거나 아니면 완화되는 것으로 나타났다. 또한 순위상관 분석 결과 분석기간 중 오염물질의 공간적 분포에 상당한 정도의 동태적 변화가 있었던 것으로 나타났다.

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Prediction of rock fragmentation and design of blasting pattern based on 3-D spatial distribution of rock factor

  • 심현진;한창연;남현우
    • 지반과기술
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    • 제3권3호
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    • pp.15-22
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    • 2006
  • The optimum blasting pattern to excavate a quarry efficiently and economically can be determined based on the minimum production cost, which is generally estimated according to rock fragmentation. Therefore, it is a critical problem to predict fragment size distribution of blasted rocks over an entire quarry. By comparing various prediction models, it can be ascertained that the result obtained from Kuz-Ram model relatively coincides with that of field measurements. Kuz-Ram model uses the concept of rock factor to signify conditions of rock mass such as block size, rock jointing, strength and others. For the evaluation of total production cost, it is imperative to estimate 3-D spatial distribution of rock factor for the entire quarry. In this study, a sequential indicator simulation technique is adopted for estimation of spatial distribution of rock factor due to its higher reproducibility of spatial variability and distribution models than Kriging methods. Further, this can reduce the uncertainty of predictor using distribution information of sample data. The entire quarry is classified into three types of rock mass and optimum blasting pattern is proposed for each type based on 3-D spatial distribution of rock factor. In addition, plane maps of rock factor distribution for each ground level are provided to estimate production costs for each process and to make a plan for an optimum blasting pattern.

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대학 캠퍼스 공간적 지표에 의한 유형화에 관한 연구 (A Study on the Classification by the Spatial Index of the University Campuses)

  • 김천일;신소영;김익환
    • 교육시설 논문지
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    • 제23권4호
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    • pp.3-10
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    • 2016
  • This paper presents the investigation results on the classification of the university campuses. For the classification, we selected the spatial index as the evaluation indicator since the environmental factors and maintenance methods vary from university campus to university campus. For the study, we used eight spatial indices of the 30 national universities. This paper provides the spatial characteristics of different campus types, presents campus classification analysis as a future research approach to campus maintenance, and provides the data for the future study of comparison among universities. The results are as follows. 1) The classification investigation categorized the university campuses into three groups. Type 1 is a large-scale type, located near downtown. Type 2 is a medium-scale type, located at a remote site from downtown. Type 3 is a small-scale type, which is located comparatively near downtown. 2) Type 1 is a large-scale mixed area type, and 13 universities belong to this group. Type 2 is a medium-scale suburban area type, and six universities are in this group. Finally, Type 3 is a small-scale downtown area type, and 11 universities belong to this group.

건축문화유산의 공간경험 디자인 - 지능형 콘텐츠 서비스 플랫폼과 정보표현체계 - (Designing Augmented Spatial Experiences of Architectural Heritage - Information Modeling for Intelligent Content Service Platform -)

  • 장선영;김성준;김성아
    • 대한건축학회논문집:계획계
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    • 제35권4호
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    • pp.15-24
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    • 2019
  • Currently, museums and architectural heritage provide augmented user experiences by incorporating various media technologies. They still, however, suffer from the limitation of entertainment-based and the provision of location-based simple and repetitive contents. In addition, while acting as a key medium of experience for architectural heritage, the concept of space is not properly reflected in current services. The purpose of this study is to design user space experience considering such characteristics of architectural heritage. The spatial experience content and content production platform are defined. This software platform creates content that enhances the experience of the place by giving a context-based digital data associated with space and objects. The spatial experience content is designed as a series of experience sequences. The composition of the sequence borrows the method of film and narrative which segment and connect consecutive experiences on a scene basis considering user's detailed spatial experience. Therefore, content components can be combined and reproduced in various types. Augmented contents were extracted by using rule-based reasoning function of ontology at the moment. As a practical example of architectural heritage, the Seokjojeon Hall is used to reveal a spatial experience scenario.

서울지역 지하수시스템의 수문지질학적 특성 분석을 위한 지리정보시스템의 활용 (GIS Application to Urban Hydrogeological Analysis of Groundwater System in Seoul Area)

  • 김윤영;이강근
    • Spatial Information Research
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    • 제7권1호
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    • pp.103-117
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    • 1999
  • 도시지역에서 지하수 산출특성, 흐름 및 오염현상은 인위적인 양수, 지하구조물, 다양한 오염원 지면 포장으로 인한 지하수 함양의 국지적 변동 등의 영향을 받는 매우 복잡한 특성을 가진다. 서울지역 지하수시스템을 분석하기 위해 지리정보시스템 환경에서 수문지질학적 데이터베이스를 구축하였다. 지하수 수위변화의 주요인은 한강수계, 지하철 지형, 강우 등이고 이들을 이용하여 지하수시스템에 대한 영향을 분석하였다. 그리고 그 자료와 분석결과를 ARC/INFO에 데이터 베이스로 저장하고 실세계의 현상과 비구 분석하였다. 구축된 내용은 지하수 오염원의 분포, 대수층의 수리상수, 한강수위 변화에 대한 지하수 영향간 지하철 역사의 대규모 양수로 인한 지하수시스템의 변화 둥이다. 자료의 특성에 맞는 자료 형태로 저장하고 표현할 수 있도록 하였다.

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