• Journal of Korea Society of Industrial Information Systems
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• v.6 no.3
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• pp.51-64
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• 2001

Schema integration is one of the most difficult issues in the heterogeneous and distributed geographic database systems (GDSs). As the use of spatial information in various application areas becomes increasingly popular, the integration of geographic information has become a crucial task for decision makers. Most existing schema integration techniques described in the database literature, however, do not address the problems of managing heterogeneities among complex objects that contain visual data and/or spatial and temporal information. The difficulties arise not only from the semantic conflicts, but also from the different representations of spatial models. Consequently, it is much more complex to achieve interoperability in the area of geographic databases. This research attempts to provide a solution to such problems. The research reported in this paper describes a schema integration methodology and a prototype toolkit developed to assist in schema integration activities for GDSs.

• Journal of the Korean association of regional geographers
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• v.12 no.1
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• pp.172-178
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• 2006

There has been tremendous increase of disaster related damages since 1990's. Especially flood occurred in summer season highly populated area has led to demolish a lot of facilities and buildings within a short time period. This is to figure out the way to predict the vulnerable flood inundation area by past records of inundation and and geographic information available. The comparative study on 1998 and 1999 flood inundation area in Munsan and Gokneung river shows that 5 degree of slope and 10 m elevation level are dividing index to draw the vulnerable area. This study is to suggest the relatively easy method to predict flood vulnerable area and to apply the results to prepare for protecting the facilities and the people with other thematic geographic database.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.206-216
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• 2006

The primary purpose of this study is firstly, to ascertain the suitability of the IT BSC (balanced scorecard) methodology for the performance analysis of EGIS(environment geographic information system), secondly, to analyze the outcome of EGIS using the methodology, and finally to present guidelines for effectively managing the performance of EGIS. This study has rebuilt the IT BSC methodology based on the previous study on the performance analysis of GIS and EGIS whose performance over the past five years has been evaluated. According to the analysis, the integrated performance is estimated at 105.3 points. This figure indicates that the cumulative performance of EGIS is more than the baseline of goal, 100.0 points. The feature of this study is to develop a new methodology suitable for the EGIS performance analysis and to evaluate and quantify the total performance of EGIS objectively through the application of the new methodology.

• Journal of the Korean Association of Geographic Information Studies
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• v.5 no.4
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• pp.56-64
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• 2002

In order to establish and promote geographic information activities in controled environment maximizing interoperability and the degree of reusability of geographic information resources scattered in distributed platforms, standardization is recognized as one of the basic solutions essentially being performed at the community level, where intends to align with international standards. This paper describes some technical aspects of standardization needed to build a systematic mechanism of national geographic information standards development, giving approach to conceptual analysis especially directed by ISO(International Organization for Standardization). Following some enumerated benefits for profile based national standard architecture and the brief review from canadian approach we suggest herein a overview of national and community level standardization framework, which identify its primary elements consisting of common basis for standard development mechanism based on profiles.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.13
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• pp.5299-5303
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• 2014

Background: To explore etiology for providing scientific clues for the prevention of lung cancer. Materials and Methods: Data for lung cancer incidence and meteorological geographic factors from 25 counties in Zhejiang province of China during 2011 were studied. Stepwise multiple regression and correlation analysis were performed to analyze the geographic distribution and epidemiology of lung cancer. Results: 8,291 new cases (5,998 in males and 2,293 females) of lung cancer during 2011 in Zhejiang province were reported in the 25 studied counties. Reported and standardized incidence rates for lung cancer were 58.0 and 47.0 per 100,000 population, respectively. The incidence of lung cancer increased with age. Geographic distribution analysis shows that the standardized incidence rates of lung cancer in northeastern Zhejiang province were higher than in the southwestern part, such as in Nanhu, Fuyang, Wuxing and Yuyao counties, where the rates were more than 50 per 100,000 population. In the southwestern Zhejiang province, for instance, in Yueqing, Xianju and Jiande counties, the standardized incidence rates of lung cancer were lower than 37 per 100,000 population. Spearman correlation tests showed that forest coverage rate, air quality index (AQI), and annual precipitation level are associated with the incidence of lung cancer. Conclusions: Lung cancer in Zhejiang province shows obvious regional differences. High incidence appears associated with low forest coverage rate, poor air quality and low annual precipitation. Therefore, increasing the forest coverage rate and controlling air pollution may play an important role in lung cancer prevention.

• Journal of Korean Society for Geospatial Information Science
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• v.15 no.4
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• pp.21-29
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• 2007

The National Geographic Information Clearinghouse (NGIC) in Korea has been established to share dispersed geographic information in many government organizations. The NGIC has become a main hub for sharing and exchanging geographic information in Korea. However, due to rapid technological advancement, citizens not only require more information but also demand more functions for NGIC. In this regards, this research tries to find the way of developing NGIC from a means of 'information sharing' to an arena of 'information use'. To do so, it suggests new technical frameworks and functionalities for NGIC. Then it recommend policy measures to improve current NGIC.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.10
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• pp.1935-1942
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• 2017

Recently, a compression algorithm is widely used as a method for compressing geographic information data. However, such a compression algorithm has a problem that the continuity of the map data is insufficient to actually apply it to the geographic information data compression, and the compression rate is lowered because it can not be compressed into a single data. Therefore, in this paper, we have designed and implemented a Run-Length / Byte-Packing compression algorithm that enables compression of geographic information by combining the advantages of compression algorithms and improves compression and restoration speed. As a result of evaluating the implemented algorithm, it was confirmed that the proposed algorithm improved about 5% on average compared with the existing compression algorithm, and it was confirmed that the compression rate and the restoration speed were improved.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.2
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• pp.108-120
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• 2008

This paper discusses the prediction of deforestation areas using probability models from forest census database, Geographic information system (GIS) database and the land cover database. The land cover data was analyzed using remotely-sensed (RS) data of the Landsat TM data from 1989 to 2001. Over the analysis period of 12 years, the deforestation area was about 40ha. Most of the deforestation areas were attributable to road construction and residential development activities. About 80% of the deforestation areas for residential development were found within 100m of the road network. More than 20% of the deforestation areas for forest road construction were within 100m of the road network. Geographic factors and vegetation change detection (VCD) factors were used in probability models to construct deforestation occurrence map. We examined the size effect of area partition as training area and validation area for the probability models. The Bayes model provided a better deforestation prediction rate than that of the regression model.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10d
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• pp.240-243
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• 2007

Geographic routing has been considered as an efficient simple, and scalable routing protocol for wireless sensor networks since it exploits pure location information instead of global topology information to route data packets. Geographic routing requires the sources nodes to be aware of the location of the sinks. In this paper, we propose a scheme named Sink Location Service for geographic routing in wireless Sensor Networks, in which the source nodes can get and update the location of sinks with low overhead. In this scheme, a source and a sink send data announcement and query messages along two paths respectively by geographic routing. The node located on the crossing point of the two paths informs the source about the location of the sink. Then the source can send data packet to the sink by geographic routing. How to guarantee that these two paths have at least one crossing point in any irregular profile of sensor network is the challenge of this paper.

• Journal of the Korean Association of Geographic Information Studies
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• v.3 no.4
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• pp.73-86
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• 2000

This study focused on extracting an efficient method in the fruit cropping distribution mapping with various classification methods using multi-temporal satellite images and Geographic Information Systems(GIS). For this study, multi-temporal Landsat TM images, in observation data and existing fruit cropping area statistics were used to compare and analyze the properties of fruit cropping and seasonal distribution per classification method. As a result, this study concludes that Maximum Likelihood Method with earlier autumn satellite image was most efficient for the fruit cropping mapping using Landsat TM image. In addition, it was clarified that cropping area per administrative boundary was prepared and distribution pattern was identified efficiently using GIS spatial analysis.