• The Journal of the Korea Contents Association
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• v.13 no.3
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• pp.318-329
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• 2013

Spatial information has influenced government policy formation, business strategy implementation, and our everyday life enormously. Digital earth enterprises providing global spatial data services emerge as spatial data industry grows rapidly. So it is highly desirable to grasp recent trends in the industry and find critical success factors (CSFs) for the digital earth firms. The purpose of this study is to compare strategies of digital earth enterprises and find CSFs for them. In addition, strategy analysis framework elaborations, systematic analysis of spatial data industry and market segmentation based on value chain are also performed to trace and cope with the volatile industry environment. Derived CSFs are as follows. First, acquisition of differentiated high quality spatial data is needed. Second, customer oriented convergent contents should be developed. Third, advanced platform functionalities must be provided to consumers. Finally, construction of efficient and effective global value chain is desirable.

• Journal of Korea Trade
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• v.25 no.3
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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.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.4
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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.

• Journal of Cadastre & Land InformatiX
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• v.52 no.2
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• pp.121-135
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• 2022

The purpose of this study is to explore the convergence sector of the spatial information industry based on the business transaction data of spatial information companies and to predict the market size of the industry using the Seemingly Unrelated Regression(SUR) model. The convergence part of spatial information industry, which cannot be identified in the Spatial Data Industry Survey, was analyzed by exploring keywords related to spatial information using the business DB of Korea Enterprise Data (2010-2019). The convergence of spatial information businesses mainly appeared in the business relationship between the value chain between Seoul and Gyeonggi Province. The convergence business has the largest sales in the value chain 2 (utilization, service) & 3 (convergence), and also the convergence in the value chain 1 (production, construction) & 2, 2 & 3 stages has doubled in 2019 compared to 2010. In 2019, the total sales of the spatial information industry based on the Statistical Korea were announced at about 8 trillion won, but in this study, the total sales of the spatial information industry were estimated at 28 trillion won considering convergence activities. Finally, when scenario 1 (0.38% population growth, 2020-2024) and 0.07% (2026-2030) were applied using the SUR model to predict the expected market size of the industry, sales decreased by -0.37% to 0.069% in 2025 and 2030 by respectively. When scenario 2 (average wage growth 1.2%) was applied during the same period, sales in the industry increased by 2.326% to 12.185%. In other words, the sales in the spatial information industry depends on Labor, Total Factor Productivity, and Capital Productivity so it is necessary to additional research on policy development and alternatives of enhancing each productivity.

• Journal of the Korea Society of Computer and Information
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• v.21 no.7
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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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.2
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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.

• Journal of the Korea Society of Computer and Information
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• v.20 no.1
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• pp.255-263
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• 2015

In this paper, we suggest a plan to take advantage of the SNS data to proactively identify the information on crime risk factor and to prevent crime. Recently, SNS(Social Network Service) data have been used to build a proactive prevention system in a variety of fields. However, when users are collecting SNS data with simple keyword, the result is contain a large amount of unrelated data. It may possibly accuracy decreases and lead to confusion in the data analysis. So we present a method that can be efficiently extracted by improving the search accuracy through text mining analysis of SNS data.

• Journal of Korea Entertainment Industry Association
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• v.4 no.2
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• pp.58-63
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• 2010

The varieties of situated cognition applications provide various information to a user in a ubiquitous computing environment. In this paper, We propose a system that provides an optimized output using a fusion of temporal data and spatial data from sensing devices.

• 한국공간정보시스템학회:학술대회논문집
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• 2005.05a
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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.

• Journal of the Korea Society of Computer and Information
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• v.21 no.8
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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.