• Journal of the Korean association of regional geographers
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• v.13 no.3
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• pp.290-300
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• 2007

In this study, web document frequency of city place name is analyzed and it is used as the dataset for rank-size analysis. The search keywords are compared in the context of spatial meaning and the different domain corpus is applied. The acquired search results are applied for the further analysis. Firstly, the rank-size analysis is applied to compare the result between population and document frequency. Secondly, in case of correlation analysis, the significant changes are revealed when the spatial criteria for search keywords are increased. In case of corpus, COM, NET, and ORG shows the higher coefficient values. Lastly, the cluster analysis is applied to classify the list of cities that shows the similarity and difference. These analyses have a significant role in representing the rank-size distribution of city names that are reflected on the web documents in the information society.

• Journal of the Korean Geographical Society
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• v.47 no.6
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• pp.884-898
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• 2012

Place names represent a lot of information about the region and the life of the local residents. In particular, old geographical names have more spatial informations than recent place names. This paper tried to analyze the distribution and characteristic of 'Dumo' which is one of the ancient place names and was studied by Nam youngwoo in 1996 for the first time. After considering the etymology and phonological structure of 'Dumo', the name 'Dumo' included the geographic conditions related to a mountain and river in itself. The total number of place names in the line of 'Dumo' which were collected by the author were 417 and they were distributed evenly on the Korean Peninsula. 85% of them were used for the human place names and 73% of the human place names were served as settlement names standing for a village or an administrative district. Thus the author analyzed the location and diffusion of 220 of settlement names in depth. As a result, villages named in the line of 'Dumo' preferred southern or eastern exposure and located in front of a mountain and around a river. After a village name 'Dumo' was set up, it produces other similar names in the line of 'Dumo' near the village so most place names of 'Dumo' were found with several names of 'Dumo' not alone.

• Journal of the Korean association of regional geographers
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• v.18 no.2
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• pp.188-202
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• 2012

The purpose of this study is to review a good sample for a healthy city to adapt its strategy. People has interested in the urban environment and their health in the region with a step-up in income and the improvement of living conditions. They has realized that urban environment is closely related to their quality of life, concentrated on development of clean city and healthy city from the point of urban planning. The movement of healthy city has been spread out from Europe on 1986, and WHO(World Health Organization) has been supporting the practical work to improve upon the physical or social condition on each regional level. The policy of healthy city has promoted centering around each local government which is made up of networking with others globally to interchange informations. This study reviewed a successful case of Kobe city in detail and will provide further useful insights into planners in building appropriate policies.

• Journal of the Economic Geographical Society of Korea
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• v.20 no.2
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• pp.158-172
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• 2017

This study analyzes the time-space variability for the weekly passenger flow of the Seoul Subway system based on the dynamic visualization methods. For the purpose, we utilize one-week T-card transaction databases. By applying data mining algorithms, we extract passenger data for edge flows, on/off passengers at each subway station per minute interval time. It is practically intractable to analyze such spatio-temporal passenger flows by general statistical techniques. We employ dynamic visualization methods to analyze intuitively and to grasp effectively characteristics of the diurnal passenger flows on the Seoul Metropolitan Subway system during one week. As the result, we found that substantial differences exist on the spatio-temporal distribution patterns among days as well as between weekdays and weekend. We also investigates the time-space variability among eight major centers, and we found wide differences in their spatio-temporal distribution patterns.

• Journal of the Korea Society for Simulation
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• v.22 no.3
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• pp.7-14
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• 2013

In this paper, there is a research for providing environmental data to reflect environmental effects to the simulation for the aviation weapon systems by the construction of the synthetic battlefield. The results of the aviation engagement simulation are able to differ by environmental effect. This paper analyzes the real aviation battlefield and designs the synthetic battlefield based on the analysis. In order to construct the designed synthetic battlefield, we collects the real environmental data for the atmosphere and structures the collected data using GIS (Geographic information system interpolation). The main objective of this paper is to design the synthetic battlefield based on the derived environmental factors from the analysis of the real aviation battlefield, and it constructs the designed synthetic battlefield by the collection of real atmosphere data. The constructed synthetic battlefield provides the environmental data which are requested from the distributed simulation system, and it makes the system reflect environmental effects to the simulation.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.933-933
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• 2012

최근 들어 우리나라를 포함한 전 세계적으로 극심한 기후변화와 기상이변으로 집중호우에 의한 피해가 급증하고 있으며, 기상재해에 따른 강우-유출 현상에 관한 정확한 해석이 필요하게 되었다. 국내의 경우에도 1990년 중반부터 매년 국지적 집중호우나 이상호우로 인해 재산 및 인명피해가 속출하고 있다. 대상유역으로 선정한 우이천 유역 또한 강북구의 대표적인 상습침수지역으로 피해 받고 있는 상황이며, 이를 예방하기 위해 홍수범람도 작성, 재해지도 작성 등의 지리정보시스템 기법 및 각종 수해대책이 활발하게 진행되고 있지만 아직은 미비한 실정이다. 본 연구에서는 우이천 유역에 대한 강우-유출 해석을 위한 분포형 모형인 Vflo$^{TM}$의 적용성을 검토 분석하는 데에 의의를 두었다. 또한 각 격자크기별로 유출량의 변화를 타 모형과의 비교를 통하여 적정성을 검토하였다. 이를 위해 대상유역의 1:1000 수치지형도를 이용하여 50m, 100m, 150m, 200m의 DEM을 생성하였고 ArcGIS 프로그램의 Hydro툴을 이용하였다. DEM을 보간하기 전 총 세 곳의 Sink를 발견하여 조정한 후 Filling하였으며 수치지형도와 정밀토양도로부터 초기 입력자료를 생성한 후 ASCII 파일로 변환하여 분포형 모형에 적용하였다. 또한 VfloTM 를 통해 구성한 격자망을 실제 흐름 방향을 고려하여 최종 유출구로 흐를 수 있도록 격자망을 재구성하였으며, 강우의 공간적 분포 방법으로 Cokriging 기법을 사용하였다. 분석 결과 격자 크기가 작은 경우 오히려 첨두유량이 작게 산정되었는데 이는 배수계통의 변화 및 수치지형도와는 다른 지표면 특성으로 인한 것으로 사료된다. 또한 배수구역의 최적화 결과 전반적으로 실측치와 유사한 값을 나타내었으며, 타 모형과 비교한 결과 비슷하거나 조금 나은 결과를 보였다.

• Economic and Environmental Geology
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• v.38 no.1
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• pp.33-43
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• 2005

The purpose of this study is to make and validate landslide susceptibility map using artificial neural network and GIS in Kangneung area. For this, topography, soil, forest, geology and land cover data sets were constructed as a spatial database in GIS. From the database, slope, aspect, curvature, water system, topographic type, soil texture, soil material, soil drainage, soil effective thickness, wood type, wood age, wood diameter, forest density, lithology, land cover, and lineament were used as the landslide occurrence factors. The weight of the each factor was calculated, and applied to make landslide susceptibility maps using artificial neural network. Then the maps were validated using rate curve method which can predict qualitatively the landslide occurrence. The landslide susceptibility map can be used to reduce associated hazards, and to plan land use and construction as basic data.

• Korean Journal of Remote Sensing
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• v.16 no.1
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• pp.37-45
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• 2000

Since being launched for ocean observing in 1997, the SeaWiFS sensor has supplied data on ocean chlorophyll distribution and environmental conditions of the atmosphere. Until now, a lot of SeaWiFS data have been archived and utilized for ocean monitoring and land observation. The SeaWiFS sensor has 1km spatial resolution, therefore, it is difficult to obtain data at the coastal zone. Since atmospheric correction algorithms at the coastal area have not been confirmed for chlorophyll algorithm, the ocean color data analysis for coastal zone is not common. In particular, domestic coastal areas have high suspended sediments concentrations and higher absorption influence of colored dissolved organic matter (CDOM), released from in-land, than open-sea. Thus, a useful algorithm for analysis of chlorophyll distribution in domestic coastal areas has not been developed. In this study, empirical algorithms, using data from the ocean color sensor, were developed for monitoring of chlorophyll distribution of coastal areas. In the process of the development of the algorithms, we can find that the red band (665nm) should be used for analyzing of domestic coastal areas near the Yellow Sea.

• Korean Journal of Remote Sensing
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• v.25 no.4
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• pp.321-338
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• 2009

The objective of this paper is to compare spatial prediction capabilities of univariate kriging algorithms for generating GIS-based thematic maps from ground survey data with asymmetric distributions. Four univariate kriging algorithms including traditional ordinary kriging, three non-linear transform-based kriging algorithms such as log-normal kriging, multi-Gaussian kriging and indicator kriging are applied for spatial interpolation of geochemical As and Pb elements. Cross validation based on a leave-one-out approach is applied and then prediction errors are computed. The impact of the sampling density of the ground survey data on the prediction errors are also investigated. Through the case study, indicator kriging showed the smallest prediction errors and superior prediction capabilities of very low and very high values. Other non-linear transform based kriging algorithms yielded better prediction capabilities than traditional ordinary kriging. Log-normal kriging which has been widely applied, however, produced biased estimation results (overall, overestimation). It is expected that such quantitative comparison results would be effectively used for the selection of an optimal kriging algorithm for spatial interpolation of ground survey data with asymmetric distributions.

• Korean Journal of Remote Sensing
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• v.26 no.1
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• pp.29-38
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• 2010

It is necessary to develop an integration model which can account for various data acquired at different measurement scales in environmental thematic mapping with high-resolution ground survey data and relatively low-resolution remote sensing data. This paper presents and applies a multi-scale geostatistical methodology for downscaling of thematic maps generated from lowresolution remote sensing data. This methodology extends a traditional ordinary kriging system to a block kriging system which can account for both ground data and remote sensing data which can be regarded as point and block data, respectively. In addition, stochastic simulation based on block kriging is also applied to describe spatial uncertainty attached to the downscaling. Two downscaling experiments including SRTM DEM and MODIS Leaf Area Index (LAI) products were carried out to illustrate the applicability of the geostatistical methodology. Through the experiments, multi-scale geostatistics based on block kriging successfully generated relatively high-resolution thematic maps with reliable accuracy. Especially, it is expected that multiple realizations generated from simulation would be effectively used as input data for investigating the effects of uncertain input data on GIS model outputs.