• 제목/요약/키워드: Spatial Data Industry

검색결과 265건 처리시간 0.021초

디지털어스 기업들의 전략 비교를 통한 공간정보산업 핵심성공요인의 발견 (Finding Critical Success Factors for Spatial Data Industry by Comparing Strategies of Digital Earth Enterprises)

  • 김종호
    • 한국콘텐츠학회논문지
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    • 제13권3호
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    • pp.318-329
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    • 2013
  • 공간정보는 정부정책 수립과 기업 경영활동 그리고 우리 일상생활 곳곳에 지대한 영향을 미치고 있다. 세계 공간정보산업이 급속도로 성장하면서 글로벌 공간정보서비스를 제공하는 디지털어스 기업들이 출현하고 있다. 이에 따라 공간정보산업의 최근 동향을 짚어보고 공간정보산업의 핵심성공요인을 파악하는 것이 절실히 요구된다. 본 연구는 공간정보 산업의 환경 변화에 대응한 디지털어스 기업들의 전략을 비교 분석한 후 공간정보 산업의 핵심 성공 요인을 도출하였다. 더불어서 공간정보산업 환경변화를 면밀하게 추적하기 위한 공간정보산업의 가치사슬과 시장세분화를 수행하고 디지털어스기업들의 대응전략을 체계적으로 분석하기 위하여 전략 분석 프레임웍도 제시하였다. 도출된 핵심성공요인은 다음과 같다. 첫째, 차별화된 품질의 공간정보 획득을 위해 노력해야 한다. 둘째, 소비자 지향적 융합콘텐츠의 확보에 주력해야 한다. 셋째, 고도화된 플랫폼 기능을 제공해야 한다. 넷째, 효과적이고 효율적인 글로벌 가치사슬의 구성이 필요하다.

Research on Spatial Dependence and Influencing Factors of Korean Intra-Industry Trade of Agricultural Products: From South Korea's Agricultural Trade Data

  • Lv, Hong-Qu;Huang, Chen-Yang
    • Journal of Korea Trade
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    • 제25권3호
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    • pp.116-133
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    • 2021
  • Purpose - Intra-industry trade of agricultural products can eliminate the disadvantage of Korea's traditional agriculture and improve its lack of comparative advantage. The main purpose of this paper is to measure the level and index of intra-industry trade of Korean agricultural products and to explore the spatial dependence and spillover effect associated with this type of trade. The main factors influencing intra-agricultural trade are analyzed from two perspectives: the population and the classification of agricultural products. Design/methodology - First, the level of intra-industry trade of Korean agricultural products is measured. Second, to obtain a more accurate estimate of the influence of various factors, and based on two types of weight matrices, a spatial econometric model is constructed from two aspects: population and classification of agricultural products. The status and the factors influencing intra-industry trade are also studied. Findings - It is concluded that there is a positive spatial correlation between Korea's intra-industry trade in agricultural products and that of its trading partners. The spatial spillover effect of this type of trade is verified by using the spatial autoregressive model (SAR). Labor-intensive agricultural products are found to have a positive spillover effect on intra-industry trade, while land-intensive products do not have a significant effect. Originality/value - In this paper, the two types of agricultural products are meticulously distinguished, and the spatial effect of the intra-industry trade of agricultural products as well as the influence of various factors are analyzed. In addition, the accuracy of the estimation of the coefficients of the factors by using the spatial econometric model is higher than that of the ordinary panel data model.

시공간 데이터 응용을 위한 제약 데이터 모델링 (Constraint Data Modeling for Spatiotemporal Data Application)

  • 정훈조;우성구
    • 디지털산업정보학회논문지
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    • 제6권4호
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    • pp.45-56
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    • 2010
  • This paper suggests constraint data modeling based on constraint data presentation techniques to perform complex spatial database operation naturally. We were able to identify the limitation of extendibility of dimension and non-equal framework via relevant research for former schema of spatial database and query processing. Therefore we described generalized tuple of spatial data and the definition of suggested constraint data modeling. Also we selected MLPQ/PReSTO tool among constraint database prototype and compare standard functionality of ARC/VIEW. Then we design scenario for spatial operation using MLPQ/PReSTO and we suggested application effect after query processing. Based on above explanation, we were able to identify that we can process spatial data naturally and effectively using simple constraint routine on same framework via constraint data modeling.

공간정보산업 융·복합부문 탐색 및 시장규모 전망 연구 (The Exploration of Intersectoral Convergence of Spatial Information Industry and Forecast of its Market Size)

  • 권영현
    • 지적과 국토정보
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    • 제52권2호
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    • pp.121-135
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    • 2022
  • 본 연구의 목적은 공간정보기업의 거래정보를 토대로 공간정보산업의 융·복합부문 탐색과 표면상무관회귀모형을 이용한 동 산업의 시장규모 전망이다. 공간정보산업조사 통계에서 확인할 수 없는 공간정보 융·복합부문은 한국기업데이터의 사업체DB(2010~2019년)를 이용하여 공간정보 관련 핵심키워드를 검색하여 상품별 구매 및 판매데이터를 확보하여 분석하였다. 공간정보사업체의 융·복합은 서울 특정구와 일부 경기도권역과의 가치사슬 간 거래관계에서 나타났다. 해당 융·복합 사업체는 가치사슬 2(활용·서비스)&3(융·복합)단계의 매출액이 가장 크고, 가치사슬 1(생산·구축)&2단계와 2&3단계의 융·복합은 2010년 대비 2019년 매출은 약 2배 가량 상승하였다. 2019년 통계청 기준 공간정보산업의 총매출액은 약 8조원으로 발표되었으나, 본 연구에서는 공간정보산업의 총매출액은 23~27조원, 융·복합 활동을 고려할 때 28~47조원으로 추정되었다. 마지막으로 공간정보산업 미래 시장규모예측을 위하여 표면상무관회귀(SUR: Seemingly Unrelated Regression)모형을 이용하여 2025년 및 2030년에 시나리오 1(인구증가율 0.38%, 2020~2024년), 0.07%(2026~2030년)을 적용할 경우, 공간정보산업 매출액은 -0.37% ~ 0.069% 감소하였다. 동 기간 시나리오 2(평균임금상승률 1.2%)를 적용하면 공간정보산업 매출액은 2.326% ~ 12.185% 증가하였다. 즉, 공간정보산업의 매출액은 노동, 총요소 생산성 및 자본 생산성의 함수이며, 특히 노동생산성과 연구개발 등의 총요소생산성을 제고하는 방향의 정책개발과 대안 수립 연구가 추가적으로 필요하다.

A Study on the Improvement of 'Geospatial Information Open Platform' for Geospatial Information Convergence Industry

  • Song, Ki-Sung;Seok, Sang-Muk;Kwon, Hoe-Yun;Hwang, Jung-Rae
    • 한국컴퓨터정보학회논문지
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    • 제21권7호
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    • pp.31-38
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    • 2016
  • In this paper, we propose a direction for improving 'Geospatial information open platform' service to support the converged and integrated geospatial information. Since there can be a number of issues relating to the support for geospatial information convergence industry, two qualitative surveys were performed to collect opinions comprehensively and specifically. The responses from 165 experts from 5 areas that use geospatial information were used, and the requirements of demanders were divided into the aspect of policy, aspect of data development and distribution, and aspect of data utilization support in order to effectively analyze the survey results. As a result, a total of 26 major issues were derived and it was deemed that it is necessary to find a way to expand the role of 'Geospatial information open platform' from "Open-API Oriented Passive Spatial Information Open Platform" to "Platform that Comprehensively Provides Active Convergence Support Information" order to resolve the issues derived.

Spatial Characteristics and Driving Forces of Cultivated Land Changes by Coupling Spatial Autocorrelation Model and Spatial-temporal Big Data

  • Hua, Wang;Yuxin, Zhu;Mengyu, Wang;Jiqiang, Niu;Xueye, Chen;Yang, Zhang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권2호
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    • pp.767-785
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    • 2021
  • With the rapid development of information technology, it is now possible to analyze the spatial patterns of cultivated land and its evolution by combining GIS, geostatistical analysis models and spatiotemporal big data for the dynamic monitoring and management of cultivated land resources. The spatial pattern of cultivated land and its evolutionary patterns in Luoyang City, China from 2009 to 2019 were analyzed using spatial autocorrelation and spatial autoregressive models on the basis of GIS technology. It was found that: (1) the area of cultivated land in Luoyang decreased then increased between 2009 and 2019, with an overall increase of 0.43% in 2019 compared to 2009, with cultivated land being dominant in the overall landscape of Luoyang; (2) cultivated land holdings in Luoyang are highly spatially autocorrelated, with the 'high-high'-type area being concentrated in the border area directly north and northeast of Luoyang, while the 'low-low'-type area is concentrated in the south and in the municipal area of Luoyang, and being heavily influenced by topography and urbanization. The expansion determined during the study period mainly took place in the Luoyang City, with most of it being transferred from the 'high-low'-type area; (3) elevation, slope and industrial output values from analysis of the bivariate spatial autocorrelation and spatial autoregressive models of the drivers all had significant effects on the amount of cultivated land holdings, with elevation having a positive effect, and slope and industrial output having a negative effect.

범죄발생 위험요소와 연관된 SNS 데이터의 효율적 추출 방법에 관한 연구 (A study on the efficient extraction method of SNS data related to crime risk factor)

  • 이종훈;송기성;강진아;황정래
    • 한국컴퓨터정보학회논문지
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    • 제20권1호
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    • pp.255-263
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    • 2015
  • 본 연구에서는 매년 증가하는 범죄에 대한 예방 측면에서 범죄발생 위험요소에 관한 정보를 사전에 파악하고 범죄발생을 예방하기 위해 SNS 데이터를 활용하는 방안을 제시한다. 최근에 SNS(Social Network Service) 데이터는 다양한 분야에서 선제적 예방 대응체계를 구축하는데 활용됨에 따라 그 중요성 또한 점점 증가하고 있다. 하지만 SNS 데이터를 단순 키워드로 수집하는 경우 관련되지 않은 데이터가 다수 포함되어 정확도 저하와 데이터 분석에 혼란을 초래할 우려가 있다. 이에, SNS 데이터의 텍스트 마이닝 분석을 통해 범죄발생 위험요소의 검색 정확도를 향상시켜 효율적으로 추출할 수 있는 방안을 제시한다.

시간적 데이터와 공간적 데이터의 문맥적 융합 접근방법에 관한 연구 (A Context Fusion Approach for Temporal Data and Spatial Data)

  • 권남기;김정기;이주환;김정현;김원일
    • 한국엔터테인먼트산업학회논문지
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    • 제4권2호
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    • pp.58-63
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    • 2010
  • 유비쿼터스 컴퓨팅 환경에서 다양한 상황인식 어플리케이션들은 각기 다른 정보를 사용자에게 제공한다. 본고에서는 센싱 장치로부터 나오는 시간적, 장소적인 데이터가 서로 융합되어, 사용자에게 최적의 출력을 제공하는 시스템을 소개한다.

Business Trends in Geo-Spatial Information and Service Market

  • 허준
    • 한국공간정보시스템학회:학술대회논문집
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    • 한국공간정보시스템학회 2005년도 GIS/RS 공동 춘계학술대회
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    • pp.351-354
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    • 2005
  • NASA's remote sensing market analysis and forecast projects 3.3 billion dollars in 2005. On the other hand, a market research firm expected that world commercial remote sensing imagery, GIS software, Data, and value-added services will generate 8.3 billion dollar in 2007. It has been widely believed that geo-spatial information and service market is growing rapidly and has a huge potential, but it is not clearly understood where it is now and will be heading in the future. Also, it could be a significant question to answer where the industry in Korea fits the best in the world business trends and where it should be strategically heading to take a large market share. Furthermore, if it could be worth being considered as a Korean strategic industry for the future. Instead of pursuing direct answers to the questions, the author will start reviewing general business practices, major business transactions such as merging and acquisitions (M&A's) and initial public offerings (IPO's), and research on market capitalization and revenue of major companies. Throughout the study, a list of common grounds in the market was uncovered and realized as follows: (1) value-added data matters in geo-spatial information and service market; (2) private sector grows faster; (3) characteristics of multi-national industry; and (4) Dependency on major industry. Based on the findings, the author presents a list of recommendations as conclusions.

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Development of Social Map Prototype for Intelligent Crime Prevention based on Geospatial Information

  • Kwon, Hoe-Yun;Song, Ki-Sung;Seok, Sang-Muk;Jang, Hyun-Jin;Hwang, Jung-Rae
    • 한국컴퓨터정보학회논문지
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    • 제21권8호
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    • pp.49-55
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    • 2016
  • In this study, we proposed the social map system prototype for intelligent crime prevention. For developing the social map system prototype, functional requirements were derived through the analysis of related cases and preceding studies. Derived requirements are providing a variety of map-based safety information, using crowdsourcing data such as SNS, connecting to intelligent CCTV. To satisfy these requirements, the prototype is developed with four main menus: the integrated search menu including social media data, the safety map menu providing a variety of safety and danger information, the community map menu to collect safety and danger information from users, and the CCTV menu providing the link to intelligent CCTV. The social map for intelligent crime prevention in this study is expected to greatly enhance the safety of local community with the provision of prompt response to risk information, safe route, etc. through actual service and user participation.