• Title/Summary/Keyword: Spatial Effect

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Development of GIS-based Regional Crime Prevention Index to Support Crime Prevention Activities in Urban Environments

  • Seok, Sang-Muk;Kwon, Hoe-Yun;Song, Ki-Sung;Lee, Ha-Kyung;Hwang, Jung-Rae
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.1
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    • pp.41-48
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    • 2017
  • In this study, we proposed GIS-based Regional Crime Prevention Index (RCPI) development method designed to support local governments with systematic crime prevention activities. The public interest in safe urban environment is increasing rapidly. The government is putting efforts into crime prevention activities to eliminate the criminal opportunities in advance. CPTED is method to prevent crimes in the city by improving environmental factors that cause crime. It is used by local governments to promote the crime prevention activities centering on the expansion of CCTVs and street lamps and the improvement of street environment. However, most policies were terminated as one-off programs and it is necessary to monitor the effect of such policies on a continuous basis. In order to alleviate issues, this study proposed RCPI as part of crime safety assessment in urban environments. The estimation of RCPI in City A of Gyeonggi-do showed relative differences in 31 districts (dong), indicating that it is also possible to evaluate the crime safety in the local community on the level of the administrative dong, the smallest administrative district in the urban environments. As a crime map, the RCPI will be used effectively as he reference to support the decision making process for local government in the future.

An estimation of surface reflectance for Advanced Himawari Imager (AHI) data using 6SV

  • Seong, Noh-hun;Lee, Chang Suk;Choi, Sungwon;Seo, Minji;Lee, Kyeong-Sang;Han, Kyung-Soo
    • Korean Journal of Remote Sensing
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    • v.32 no.1
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    • pp.67-71
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    • 2016
  • The surface reflectance is essential to retrieval various indicators related land properties such as vegetation index, albedo and etc. In this study, we estimated surface reflectance using Himawari-8 / Advanced Himawari Imager (AHI) channel data. In order to estimate surface reflectance from Top of Atmosphere (TOA) reflectance, the atmospheric correction is necessary because all of the TOA reflectance from optical sensor is affected by gas molecules and aerosol in the atmosphere. We used Second Simulation of a Satellite Signal in the Solar Spectrum Vector (6SV) Radiative Transfer Model (RTM) to correct atmospheric effect, and Look-Up Table (LUT) to shorten the calculation time. We verified through comparison Himawri-8 / AHI surface reflectance and Proba-V S1 products. As a result, bias and Root Mean Square Error (RMSE) are calculated about -0.02 and 0.05.

Dynamic analysis method for the progressive collapse of long-span spatial grid structures

  • Tian, Li-min;Wei, Jian-peng;Hao, Ji-ping;Wang, Xian-tie
    • Steel and Composite Structures
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    • v.23 no.4
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    • pp.435-444
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    • 2017
  • In the past, the progressive collapse resulting from local failures during accidents has caused many tragedies and loss of life. Although long-span spatial grid structures are characterised by a high degree of static indeterminacy, the sudden failure of key members may lead to a catastrophic progressive collapse. For this reason, it is especially necessary to research the progressive collapse resistance capacity of long-span spatial grid structures. This paper presents an evaluation method of important members and a novel dynamic analysis method for simulating the progressive collapse of long-span spatial grid structures. Engineering cases were analysed to validate these proposed method. These proposed methods were eventually implemented in the progressive collapse analysis of the main stadium for the Universiade Sports Center. The roof of the structure was concluded to have good resistance against progressive collapse. The novel methods provide results close to practice and are especially suitable for the progressive collapse analysis of long-span spatial grid structures.

Analysis of Determinants of Regional Unemployment Rate Using Dynamic Spatial Panel Model (동적공간패널모형을 이용한 지역 실업률 결정요인 분석)

  • Kim, So-Youn;Ryu, Su-Yeol
    • Asia-Pacific Journal of Business
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    • v.13 no.1
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    • pp.277-288
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    • 2022
  • Purpose - This study analyzed the determinants of local unemployment rate in Korea using panel data from 16 metropolitan cities and provinces from 2000 to 2018. Design/methodology/approach - We use a dynamic spatial panel model that considers characteristics of the regional unemployment rate such as the common factors effect, spatial dependence, and serial correlations. Findings - The local unemployment rate is affected by the past and present values of the national unemployment rate. And it is significantly affected by the past local unemployment rate and the past neighboring unemployment rate because spatial dependence and serial correlations are clearly present. In addition, when the industrial structure diversity and labor productivity were high, the regional unemployment rate decreased, and when the education level was high, the regional unemployment rate increased. Research implications or Originality - In order to reduce regional unemployment rate, it is necessary to plan and establish regional customized industrial structure policies under the stance of diversification rather than specializing the regional industrial structure and accompany improvement of the quality of education with the number of years of education. In addition, the redistribution of labor from low labor productivity sectors to high labor productivity sectors through technology development will help to reduce the local unemployment rate.

Estimation of spatial distribution of precipitation by using of dual polarization weather radar data

  • Oliaye, Alireza;Bae, Deg-Hyo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.132-132
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    • 2021
  • Access to accurate spatial precipitation in many hydrological studies is necessary. Existence of many mountains with diverse topography in South Korea causes different spatial distribution of precipitation. Rain gauge stations show accurate precipitation information in points, but due to the limited use of rain gauge stations and the difficulty of accessing them, there is not enough accurate information in the whole area. Weather radars can provide an integrated precipitation information spatially. Despite this, weather radar data have some errors that can not provide accurate data, especially in heavy rainfall. In this study, some location-based variable like aspect, elevation, plan curvature, profile curvature, slope and distance from the sea which has most effect on rainfall was considered. Then Automatic Weather Station data was used for spatial training of variables in each event. According to this, K-fold cross-validation method was combined with Adaptive Neuro-Fuzzy Inference System. Based on this, 80% of Automatic Weather Station data was used for training and validation of model and 20% was used for testing and evaluation of model. Finally, spatial distribution of precipitation for 1×1 km resolution in Gwangdeoksan radar station was estimates. The results showed a significant decrease in RMSE and an increase in correlation with the observed amount of precipitation.

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Test of the Scale Effect of MAUP in Crime Study: Analyses of Sex Crime Using Nation-Wide Data of Eup-Myon-Dong and Si-Gun-Gu (범죄연구에 있어 가변적 공간단위 문제(MAUP)의 스케일효과 검증 : 전국 읍면동과 시군구를 대상으로 한 성범죄 분석)

  • Cheong, Jinseong;Park, Jongha
    • The Journal of the Korea Contents Association
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    • v.15 no.10
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    • pp.150-159
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    • 2015
  • This study attempted to test the scale effect of MAUP, particularly focusing on the spatial autocorrelation of sex crime, correlations among neighborhood structural variables, and causal mechanism leading to sex crime. Analysis results of nation-wide Eup-Myon-Dong and Si-Gun-Gu data discovered that the spatial autocorrelation, correlations among independent variables, and determinant coefficient of multiple regression of Si-Gun-Gu level were generally bigger and stronger than those of Eup-Myon-Dong, which appeared to be due to the averaging effect. Regarding the causal effect to sex crime, two interesting results were found: First, the ratio of non-apartment residency lowered sex crime at both levels contrary to the hypothesis. Second, the ratio of food and lodging increased sex crime only at Eup-Myon-Dong level. These suggested that future research need to perform more detailed analyses dividing data into subsets such as urban vs. rural and/or economically advantaged vs. disadvantaged areas.

Random Amplitude Variability of Seismic Ground Motions and Implications for the Physical Modeling of Spatial Coherency

  • Zerva, A.
    • Computational Structural Engineering : An International Journal
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    • v.1 no.2
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    • pp.139-150
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    • 2001
  • An initial approach for the identification of physical causes underlying the spatial coherency of seismic ground motions it presented. The approach relies on the observation that amplitude and phase variability of seismic data recorded over extended areas around the amplitude and phase of a common, coherent component are correlated. It suffices then to examine the physical causes for the amplitude variability in the seismic motions, in order to recognize the causes for the phase variability and, consequently, the spatial coherency. In this study, the effect of randomness in the shear wave velocity at a site on the amplitude variability of the surface motions mi investigated by means of simulations. The amplitude variability of the simulated motions around the amplitude of the common component is contained within envelope functions, the shape of which suggests, on a preliminary basis, the trend of the decay of coherency with frequency.

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Spatial Selectivity Estimation Using Wavelet

  • Lee, Jin-Yul;Chi, Jeong-Hee;Ryu, Keun-Ho
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.459-462
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    • 2003
  • Selectivity estimation of queries not only provides useful information to the query processing optimization but also may give users with a preview of processing results. In this paper, we investigate the problem of selectivity estimation in the context of a spatial dataset. Although several techniques have been proposed in the literature to estimate spatial query result sizes, most of those techniques still have some drawback in the case that a large amount of memory is required to retain accurate selectivity. To eliminate the drawback of estimation techniques in previous works, we propose a new method called MW Histogram. Our method is based on two techniques: (a) MinSkew partitioning algorithm that processes skewed spatial datasets efficiently (b) Wavelet transformation which compression effect is proven. We evaluate our method via real datasets. With the experimental result, we prove that the MW Histogram has the ability of providing estimates with low relative error and retaining the similar estimates even if memory space is small.

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A Hybrid Spatial Differencing Scheme for Discrete Ordinates Method in 2D Rectangular Enclosures (2차원 사각 밀폐 공간에서의 구분 종좌표법을 위한 하이브리드 공간 차분법)

  • Kim, Il-Kyoung;Kim, Woo-Seung
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.23 no.1
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    • pp.104-113
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    • 1999
  • A hybrid spatial differencing scheme for the discrete ordinates method is proposed to predict radiative heat transfer in two-dimensional rectangular enclosures. Since this scheme takes the advantages of the diamond scheme and step scheme and includes the characteristics of medium, more accurate and stable results can be obtained. In its development several spatial differencing schemes are examined to address the effect of numerical smearing (or false scattering). Predictions from the proposed hybrid scheme are compared to those of other schemes for transparent, purely absorbing, purely scattering, or absorbing-emitting-isotropically scattering media. It is found that the proposed scheme predicts stable and less smeared results than others.

The effect of spatial layout on space use pattern in subway station (지하철 역사의 공간구조와 여객의 공간사용패턴 분석 연구)

  • Kim, Young-Ook;Kim, Chan-Ju;Cho, In-O;Kim, Ah-Hyun;Nam, Sung-Won
    • Proceedings of the KSR Conference
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    • 2007.05a
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    • pp.418-429
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    • 2007
  • This study aims to investigate the relationship between spatial layout and space use pattern in subway station. Details investigation is carried out using space syntax method and observation of people's movement in Kangnam subway station. Space syntax method describes spatial layout quantitatively. The study reveals that space use pattern can be predicted by spatial layout of subway station using space syntax method. This study suggests that by applying space syntax method in planning stage we can design subway station objectively considering passenger's movement.

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