• Spatial Information Research
• /
• v.14 no.2 s.37
• /
• pp.223-234
• /
• 2006

In order to examine spatio-temporal characteristics of coastal water quality, we applied GIS spatial analysis to the water quality data collected from observation points located on Korean coastal area during 1997$\sim$2004. The water quality parameters measured included: chlorophyll-a, pH, DO, COD, SS, dissolved inorganic nitrogen, dissolved inorganic phosphorous, salinity, temperature. The water quality data used in this paper was obtained only at selected sites even though they are potentially available at any location in a continuous surface. Thus, it is necessary to estimate the values at unsampled locations so as to analyze spatial distribution patterns of coastal water quality, Owing to this reason, we applied IDW(inverse distance weighted) interpolation method to water quality data and evaluated the usefulness of IDW method. After IDW interfolation method was applied, we divided the Korean coastal area into 46 sections and examined spatio-temporal patterns of each section using GIS visualization technique. As a result of evaluation, we can blow that IDW interpolation and GIS are useful for understanding spatial and temporal distribution characteristics of coastal water quality data which is collected from a wide area far many years.

• Journal of Korean Society of Rural Planning
• /
• v.10 no.3 s.24
• /
• pp.41-51
• /
• 2004

This study aims to develop a potential evaluation method for urban spatial expansion using remote sensing (RS) and geographic information system (GIS). A multi-criteria evaluation method with several criteria and their weighting values was introduced to evaluate the score and quantification of the potential surface around the existing cities. The six criteria with one geographic factor, slope, and five accessibility factors, time distance from center of the city, national road, interchange of expressway, a big city, and station, were defined for the potential. RS techniques were applied for classification of the actual urban expansion maps between two periods, and GIS functions were used for score of accessibility criteria with a distance decay function from geographic, road and several point maps, which was developed in this study. The new methodology was applied to a test area, Suwon, between 1986 and 1996. In order to optimize the six weighting values, this study made new findings to search the optimal combination of the weighting values from new methodology, weighted scenario method for intensity order (WSM), combined with intensity order and AHP method, including a trial and error method for sensitivity analysis to make the intensity order. The optimal combination of the weighting values by the new method generated the optimal potential surface, considering spatial trend of urban expansion in the test area.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.10 no.3
• /
• pp.104-112
• /
• 2007

This paper aims to analyze academic and technological progresses of GIS as reviewing research trends of GIS journals for which four major GIS journals, KAGIS(The Korean Association of Geographic Information Studies), KSISS(Korea Spatial Information System Society), KOGSIS(The Korean Society for Geospatial Information System), GISAK(Geographic Information System Association of Korea) have been selected. As the authors suppose that subjects of academic articles reflect academic and social demands, total 1,222 articles that have been published by the four journals from 1993 to 2006 were reviewed and analyzed by content analysis method. Because of large volumes and variety of research scopes, all topics in the papers were classified into several categories with title and keywords referenced in each paper and the categories were analyzed into 5 years period. Thus, from the analysis results, this paper asserts that research trends and academic progresses are well-structured to review recent GIS areas in Korea and the outcomes of the analysis can be an adequate guidelines to establish NGIS policies and strategies.

• Proceedings of the Korean Geotechical Society Conference
• /
• 2003.03a
• /
• pp.475-480
• /
• 2003

Traditionally, the statistical methods analyze the relationship between landslide occurrence and related factors(soil depth, soil strength, slope angle, vegetation, etc.) in GIS technique. However, those methods have no mechanical meaning. Therefore, the deterministic model is suggested in this research. The method analyzes the mechanical equilibrium of a potential slide block and then calculates a slope safety factor. Since this method is able to consider the balance of forces applied to the slope and is a more reasonable method for an individual site. In this research, the spatial data is obtained, managed and analyzed using GIS technique. The infinite slope model is used to evaluate factor of safety and analyze the slope stability.

• Proceedings of the KSRS Conference
• /
• 2005.10a
• /
• pp.721-724
• /
• 2005

In this study the spatial distribution characters of forest in forest damaged area were first considered by analyzing spatial data and monitoring forest landscape. Then suitable tree species on each site were selected through the weighted score analysis of GIS analysis methods. Finally, the best forest stand arrangement method could be presented on the 3D based simulation system for the advanced reforestation technology in Korea. For this purpose, the virtual reforestation system was implemented by using the concept of virtual GIS and CBD (Component Based Development) method. By use of this system the change offorest landscape of burnt forest area some years after reforestation practice could be detected and monitored by applying the site index and 3D modeling method.

• Spatial Information Research
• /
• v.11 no.3
• /
• pp.213-226
• /
• 2003

With the increasing demand of processing massive geographic data, conventional GISs based on the single processor architecture appear to be problematic. Especially, performing complex GIS operations on the massive geographic data is very time consuming and even impossible. This is due to the processor speed development does not keep up with the data volume to be processed. In the field of GIS, this PC clustering is one of the emerging technology for handling massive geographic data effectively. In this study, a MPI(Message Passing Interface)-based parallel processing approach was conducted to implement the existing raster GIS operations that typically requires massive geographic data sets in order to improve the processing capabilities and performance. Specially for this research, four types of raster CIS operations that Tomlin(1990) has introduced for systematic analysis of raster GIS operation. A data decomposition method was designed and implemented for selected raster GIS operations.

• Journal of Multimedia Information System
• /
• v.4 no.4
• /
• pp.249-254
• /
• 2017

Digital vector maps must be compressed effectively for transmission or storage in Web GIS (geographic information system) and mobile GIS applications. This paper presents a polyline compression method that consists of polyline feature-based hybrid simplification and second derivative-based data compression. Experimental results verify that our method has higher simplification and compression efficiency than conventional methods and produces good quality compressed maps.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2001.05a
• /
• pp.513-517
• /
• 2001

• 한국ITS학회:학술대회논문집
• /
• 2008.11a
• /
• pp.46-53
• /
• 2008

• The Journal of the Korea Contents Association
• /
• v.6 no.12
• /
• pp.121-127
• /
• 2006

As information technologies are improving, geographical information system (GIS) technologies are also developing rapidly and demands for spatial analysis with GIS are increasing. Particularly, the spatial analyses with GIS researches have been noted rather than general GIS researches. However, most GIS researches focus on space dimension: a density-based clustering method (DBSCAN) or a DBSCAN algorithm using region expressed as Weight (DBSCAN-W) but the importance of rational decision making based on time dimension has been neglected. This study adopts system dynamics in order to put time dimension in GIS-based optimum allocation.