• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.80-84
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• 2005

본 연구에서는 지점강우를 이용하여 크리깅 기법을 통해 공간적으로 분포된 강우자료를 생성하였으며, HEC-GeoHMS 모형을 이용하여 대상유역의 지형자료, 수문매개변수를 격자크기에 따라 공간적으로 분포시켰다. 유출해석은 공간 분포된 강우의 적용을 용이하게 하기 위하여 준 분포형 접근방법인 Modified Clark 모형을 적용하였으며, 공간 평균된 강우는 Clark 모형을 적용하여 유출 모형을 수행하였다. 정규크리깅과 일반크리깅 기법에 의해 산정된 강우를 이용하여 격자크기에 따른 유출해석을 수행한 결과를 토대로 지점강우량을 공간분포 시킬 경우의 격자크기에 따른 유출 수문곡선의 변화를 파악하였다. 공간 분포된 강우와 공간 평균된 강우를 이용한 유출 모의 결과를 토대로 공간 분포 강우의 적용성을 평가하는데 있다.

• The Transactions of the Korea Information Processing Society
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• v.3 no.1
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• pp.153-159
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• 1996

Linear models for spatial data are proposed by example in the paper. This method was introduced to Korea for the first time in the early part of 1990's. The correlation of spatial patterns is computed by Moran Index., and then correlogram is proposed as the method to identify correlation of spatial patterns. Due to computational difficulties with ML, an alternative estimator has been used as an eigenvalue method.

• Journal of Korea Water Resources Association
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• v.33 no.2
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• pp.159-167
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• 2000

The purpose of this study is to estimate the stochastic monthly runoff model for the Kunwi south station of Wi-stream basin in Nakdong river system. This model was based on the theory of Box-Jenkins multiplicative ARlMA and the state-space model to simulate changes of monthly runoff. The forecasting monthly runoff from the pair of estimated effective rainfall and observed value of runoff in the uniform interval was given less standard error then the analysis only by runoff, so this study was more rational forecasting by the use of effective rainfall and runoff. This paper analyzed the records of monthly runoff and effective rainfall, and applied the multiplicative ARlMA model and state-space model. For the P value of V AR(P) model to establish state-space theory, it used Ale value by lag time and VARMA model were established that it was findings to the constituent unit of state-space model using canonical correction coefficients. Therefore this paper confirms that state space model is very significant related with optimization factors of VARMA model.

• Journal of Korea Water Resources Association
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• v.31 no.2
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• pp.177-187
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• 1998

The spatially integrated model (SIM) which can evaluate temporal variation of groundwater quality is proposed in the stream-aquifer setting entered by nonpoint source contaminants. And the developed SIM included unsaturated soil zone and was tested against the spatially distributed model (SDM) of the coupled advection-dispersion and Richards equations for the various hydrologic and aquifer simulating conditions. The result of the comparison showed that the average concentration responses of saturated aquifer and groundwater outflow between the SIM and the SDM was in good agreement, except for the case of the large dispersivity ratio and thick aquifer system. And it is shown that for the cases of the large dispersivity ratio and thick aquifer system the performance of the nonlinear SIM is better than that of the linear SIM for evaluating the average concentration of groundwater outflow response.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.685-692
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• 2007

본 연구에서는 로저스의 개혁확산이론(Rogers, 2003)과 데이비스의 기술수용모형(Davis, 1989)을 바탕으로 실감공간기술에 대한 잠재적 사용자의 태도를 분석하였다. 개혁확산이론과 기술수용모형을 바탕으로 한 선행 연구들을 통해 새로운 미디어의 채택에 영향을 미치는 다양한 요인들을 고찰할 수 있었다. 개혁확신이론을 통해서는 개인의 심리적 수준은 물론 인구통계학적 수준, 사회적 수준 등 다양한 요인과 그 하부 요인이 도출되었으며, 기술수용모형을 통해서는 개혁확산이론을 통해 도출된 다양한 변인들이 실감공간기술에 적용될 수 있다는 가설을 설계할 수 있었다. 개혁확산 이론과 기술수용모형을 통해 이미 설명된 기존의 뉴미디어들과 달리 실감공간기술이 개발 진행 중이라는 점과 그 다양한 발전 가능성이라는 특징을 고려했을 때, 실감공간기술의 확산을 어떻게 예측하고 설명할 수 있는지 고찰하는 것 또한 본 연구의 목적이라고 할 수 있다. 본 연구에서는 실감공간기술에 대한 잠재적 사용자들의 사용의도에 영향을 미치는 요인의 영향력을 살펴봄으로써 실감공간기술의 다양한 활용 방안에 대하여 모색하였다.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.3
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• pp.125-140
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• 2017

Until recently, regression based spatial interpolation methods and Kriging based spatial interpolation methods have been largely used to estimate land price or housing price, but less attention has been paid on comparing the performance of these spatial interpolation methods. In this regard, this research applied regression based spatial interpolators and Kriging based spatial interpolators for estimating the land prices in Dalseo-gu, Daegu metropolitan city and evaluated the accuracy of eight spatial interpolators. OLS, SLM, SEM, and GWR were used as regression based spatial interpolators while SK, OK, UK, and CK were employed as Kriging based spatial interpolators. The global accuracy was statistically evaluated by RMSE, adjusted RMSE, and COD. The relative accuracy was visually compared by three-dimensional residual error map and scatterplot. Results from statistical and visual analyses indicate that GWR reflecting the spatial non-stationarity was a relatively more accurate spatial predictor to estimate land prices in the study area than SAR and Kriging based spatial interpolators considering the spatial dependence. The findings from this research will contribute to the secondary research into analyzing the urban spatial structure with land prices.

• Spatial Information Research
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• v.11 no.3
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• pp.227-240
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• 2003

The primary focus of this study is to provide a general methodology which can be utilized to understand and analyze environmental issues such as long term ecosystem dynamics and land use/cover change by development of 2D dynamic landscape models and model-based simulation. Change processes in land cover and ecosystem function can be understood in terms of the spatial and temporal distribution of land cover resources. In development of a system to understand major processes of change and obtain predictive information, first of all, spatial heterogeneity is to be taken into account because landscape spatial pattern affects on land cover change and interaction between different land cover types. Therefore, the relationship between pattern and processes is to be included in the research. Landscape modeling requires different approach depending on the definition, assumption, and rules employed for mechanism behind the processes such as spatial event process, land degradation, deforestration, desertification, and change in an urban environment. The rule-based models are described in the paper for land cover change by natural fires. Finally, a case study is presented as an example using spatial modeling and simulation to study and synthesize patterns and processes at different scales ranging from fine-scale to global scale.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.1
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• pp.54-69
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• 2021

Policy improvement such as the revision of the Road Traffic Act are proposed for personal mobility(especially e-scooter) usage. However, there is not enough discussion to solve the problem of using shared e-scooter. In this study, we analyze the influencing factors that amount of pick-up and drop-off of shared e-scooter by dividing the Seoul into a 200m grid. we develop spatial auotcorrelation model such as spatial lag model, spatial error model, spatial durbin model, and spatial durbin error model in order to consider the characteristics of the aggregated data based on a specific space, and the spatial durbin error model is selected as the final model. As a result, demographic factor, land use factor, and transport facility factors have statistically significant impacts on usage of shared e-scooter. The result of this study will be used as basic data for suggesting efficient operation strategies considering the characteristics of weekday and weekend.

• The Korean Journal of Applied Statistics
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• v.10 no.1
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• pp.121-136
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• 1997

Spatial data is collected on a regular Cartesian lattice. In this paper we consider the model indentification of spatial autoregressive(SAR) models using AIC, BIC, pattern method. The proposed methods are considered as an application of AIC, BIC, 3-patterns for SAR models through three directions; row, column and diagonal directions. Using the Monte Carlo simulation, we test the efficiency of the proposed methods for various SAR models.

• Environmental and Resource Economics Review
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• v.7 no.1
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• pp.61-84
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• 1997

본 연구는 기존의 특성가격기법(特性價格技法)(hedonic price technique)에 공간(空間)개념을 도입한 계량경제모형을 이용하여 분석하였다. 이 공간시차모형은 기존의 모형과 달리 특성변수의 변화에 따른 직(直) 간접효과(間接效果)를 동시에 포착할 수 있는 장점을 가지고 있다. 또한 공간시차모형의 회귀진단 및 가설검정 결과는 공간시차모형이 적합한 것으로 나타났다. 이 경우 공간시차를 고려하지 않은 OLS 회귀분석 결과의 계수들은 편기추정(biased)된 동시에 효율적(efficiency)이지 못하다는 것이다. 회귀분석 결과는 주택에 자본화된 대기오염에 대한 잠재가격(潛在價格)(marginal implicit price)은 주택평균가격의 약 1.5% 정도인 것으로 추정된다.