• Title/Summary/Keyword: spatial patterns

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Distributed Processing Method of Hotspot Spatial Analysis Based on Hadoop and Spark (하둡 및 Spark 기반 공간 통계 핫스팟 분석의 분산처리 방안 연구)

  • Kim, Changsoo;Lee, Joosub;Hwang, KyuMoon;Sung, Hyojin
    • Journal of KIISE
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    • v.45 no.2
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    • pp.99-105
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    • 2018
  • One of the spatial statistical analysis, hotspot analysis is one of easy method of see spatial patterns. It is based on the concept that "Adjacent ones are more relevant than those that are far away". However, in hotspot analysis is spatial adjacency must be considered, Therefore, distributed processing is not easy. In this paper, we proposed a distributed algorithm design for hotspot spatial analysis. Its performance was compared to standalone system and Hadoop, Spark based processing. As a result, it is compare to standalone system, Performance improvement rate of Hadoop at 625.89% and Spark at 870.14%. Furthermore, performance improvement rate is high at Spark processing than Hadoop at as more large data set.

The Relationship between Residential Distribution of Immigrants and Crime in South Korea

  • Park, Yoonhwan
    • Journal of Distribution Science
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    • v.16 no.7
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    • pp.47-56
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    • 2018
  • Purpose - This study aims to not only investigate spatial pattern of immigrants' residence and crime occurrences in South Korea, but shed light on how geographic distribution of immigrants and immigrant segregation affect crime rates. Research design, data, and methodology - Th unit of analysis is Si-Gun-Gu municipal level entities of South Korea. The crime data was obtained by Korea National Police Agency and two major types(violence and property) of crime were measured. Most demographic, social, and economic variables were derived from Korean Census Data in 2015. In order to examine spatial patterns of immigrants' distribution and crime rates in South Korea, the present study utilized GIS mapping technique and Exploratory Spatial Data Analysis(ESDA) tools. The causal linkage was investigated by a series of regression models using STATA. Results - Spatial inequality between urban metropolitan vs rural areas was visualized by mapping. Assuming large Moran's I value, spatial autocorrelation appeared to be quite strong. Several neighborhood characteristics such as residential stability and economic prosperity were found to be important factors leading to crime rate change. Residential distribution and segregation for immigrants were negatively significant in the regression models. Conclusions - Unlike the traditional arguments of social disorganization theory, immigrant segregation appeared to reduce violent crime rate and the high proportion of immigrants also turned out to be a crime prevention factor.

Quantitative Assessment of Input and Integrated Information in GIS-based Multi-source Spatial Data Integration: A Case Study for Mineral Potential Mapping

  • Kwon, Byung-Doo;Chi, Kwang-Hoon;Lee, Ki-Won;Park, No-Wook
    • Journal of the Korean earth science society
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    • v.25 no.1
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    • pp.10-21
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    • 2004
  • Recently, spatial data integration for geoscientific application has been regarded as an important task of various geoscientific applications of GIS. Although much research has been reported in the literature, quantitative assessment of the spatial interrelationship between input data layers and an integrated layer has not been considered fully and is in the development stage. Regarding this matter, we propose here, methodologies that account for the spatial interrelationship and spatial patterns in the spatial integration task, namely a multi-buffer zone analysis and a statistical analysis based on a contingency table. The main part of our work, the multi-buffer zone analysis, was addressed and applied to reveal the spatial pattern around geological source primitives and statistical analysis was performed to extract information for the assessment of an integrated layer. Mineral potential mapping using multi-source geoscience data sets from Ogdong in Korea was applied to illustrate application of this methodology.

Environmental Planning Contermeasures Considering Spatial Distribution and Potential Factors of Particulate Matters Concentration (미세먼지 농도의 공간적 현황 및 잠재영향인자를 고려한 환경계획적 대응 방향)

  • Sung, Sun-Yong
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.23 no.1
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    • pp.89-96
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    • 2020
  • Adverse impact of Particulate Matters(PM10, PM2.5; PMs) significantly affects daily lives. Major countermeasures for reducing concentration of PMs were focused on emission source without considering spatial difference of PMs concentration. Thus, this study analyzed spatial·temporal distribution of PMs with observation data as well as potential contributing factors on PMs concentration. The annual average concentration of PMs have been decreased while the particulate matter warnings and alerts were significantly increased in 2018. The average concentration of PMs in spring and winter was higher than the other seasons. Also, the spatial distribution of PMs were also showed seasonality while concentration of PMs were higher in Seoul-metropolitan areas in all seasons. Climate variables, emission source, spatial structure and potential PM sinks were selected major factors which could affects on ambient concentrations of PMs. This paper suggest that countermeasures for mitigating PM concentration should consider characteristics of area. Climatic variables(temperature, pressure, wind speed etc.) affects concentrations of PMs. The effects of spatial structure of cities(terrain, ventilation corridor) and biological sinks(green infrastructure, urban forests) on concentration of PMs should be analyzed in further studies. Also, seasonality of PMs concentration should be considered for establishing effective countermeasures to reduce ambient PMs concentration.

The Characteristics of Temporal and Spatial Distribution of Surface Ozone Concentration in Jeju Island (제주지역 지표 오존 농도의 시.공간적 분포 특성)

  • Lee, Gi Ho;Kim, Dae Jun;Heo, Cheol Gu
    • Journal of Environmental Science International
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    • v.13 no.4
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    • pp.377-387
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    • 2004
  • This study has been performed to clarify the characteristics of temporal and spatial distribution of surface ozone concentration over Jeju Island, one of the cleanest areas in Korea with low emissions of air pollutants. Ozone data are monitored at four sites in Jeju Island. These monitoring sites are located at two urban area(referred to Ido and Donghong), coastal area(Gosan site) and forest site(Chuna site). Ozone data has been routinely collected at these sites for the late four years. The patterns of seasonal cycle of ozone concentrations at all stations show the bimodal with the peaks on spring and autumn and a significant summer minimum. However, the patterns of diurnal variations at rural station, i.e., Gosan and Chuna sites are considerably different to those at urban stations such as Ido and Donghong sites. The patterns of $\DeltaO_3$ variations are very similar with those of monthly mean ozone concentrations and $\DeltaO_3$ values are exceeded 30 ppb, at urban stations. This may be that urban stations are more influenced by local photochemical reactions rather than rural stations. In order to assess the potential roles of meteorological parameters on ozone formation, the meteorological parameters, such as radiation, temperature, and wind are monitored together with ozone concentrations at all stations. The relationships of meteorological parameters to the corresponding ozone concentration are found to be insignificant in Jeju Island. However, at Gosan and Donghong stations, when the sea breeze blew toward the station, the ozone concentration is considerably increased.

The Structure and Spatial Patterns of Unemployment in Germany (독일 실업문제의 구조적 특성과 공간적 전개양상)

  • Ahn, Young-Jin;Lee, Won-Ho
    • Journal of the Korean association of regional geographers
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    • v.7 no.2
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    • pp.1-16
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    • 2001
  • This paper is to examine the trends and structures of unemployment as well as its spatial patterns in Germany. Germany once achieved a well-developed employment system and full employment. Since 1970, however, unemployment has been one of the major issues in Germany. During the last three decades the unemployment rate has risen to unprecedented levels and stayed high. After the German unification, especially, labor market is characterized by the mass unemployment and the structural selective process of unemployment to be imposed on German workers. And regarding to the spatial patterns of massive unemployment, this study shows critical disparities between South and North Germany being overlapped with new disparities between East and West Germany. We can explain the regional differentiation of unemployment on the base of typical mismatch of labour market allocation. It is also shown that massive unemployment is related not only to policy shifts in labor market but also to structural transformation after the unification.

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Analysis of Geographical Patterns of Intellectual Property Applications by Region (지역별 지식재산 출원의 지리적 패턴 분석)

  • Shin, Su-Yeon;Jung, Sang-Hoon
    • Journal of the Korean Regional Science Association
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    • v.39 no.2
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    • pp.31-46
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    • 2023
  • This study aims to analyze the spatial patterns of intellectual property across various regions through an in-depth analysis of intellectual property trends and their influential factors. While there's an overall upsurge in intellectual property applications in the Seoul metropolitan areas, a more detailed inspection reveals divergent patterns based on the type of intellectual property - with patent rights primarily increasing in certain non-Seoul areas and trademark rights seeing a rise predominantly within Seoul. Our findings also suggest that the growth in intellectual property applications correlates positively with improvements in public transportation accessibility, expansion of knowledge-based service industries, and a rise in large enterprises, although the relationships vary by intellectual property type. These results indicate the significant influence of geographical factors and industrial structures on knowledge-generation activities, thereby suggesting a need for region-specific policies to bolster these capacities.

Spatial Information Processing between Hippocampus and Prefrontal cortex: a Hypothesis Based on Anatomy and Physiology

  • Jung, Min-Whan
    • Animal cells and systems
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    • v.2 no.1
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    • pp.65-69
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    • 1998
  • The hippocampus and prefrontal cortex are regarded as the highest-order association cortices. The hippocampus has been proposed to store "cognitive maps" of external environments, and the prefrontal cortex is known to be involved in the planning of behavior, among other functions. Considering the prominent functional roles played by these structures, it is not surprising to find direct monosynaptic projections from the hippocampus to the prefrontal cortex. Rhythmic stimulation of this projection patterned after the hippocampal EEG theta rhythm induced stable long-term potentiation of field potentials in the prefrontal cortex. Comparison of behavioral correlates of hippocampal and prefrontal cortical neurons during an a-arm radial maze, working memory task shows a striking contrast. Hippocampal neurons exhibit clear place-specific firing patterns, whereas prefrontal cortical neurons do not show spatial selectivity, but are correlated to different stages of the behavioral task. These data lead to the hypothesis that the role of hippocampal projection to the prefrontal cortex is not to impose spatial representations upon prefrontal activity, but to provide a mechanism for learning the spatial context in which particular behaviors are appropriate.propriate.

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A Study on Spatial Composition of Educational Facilities by Design Process Model (설계과정 모델별 교육시설 공간구성에 관한 연구)

  • Yang, Kum-suek
    • The Journal of Sustainable Design and Educational Environment Research
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    • v.5 no.2
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    • pp.1-13
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    • 2006
  • The purpose of this study is to clarify the actual conditions of spatial composition of educational facilities by design process model. This article discuses about the characteristics of the floor plan composition and the site plan patterns of 49 middle and high schools in gyeongnam province. The results of this study are summarized as follows; 1) Comparing to traditional middle and high school facilities, it occurs various types of plane and the area is somewhat expanded in the school with same class size, however, it needs to improve facility standards in its reality to deal with the change of future educational environment actively. 2) Spatial composition of educational facilities should functionally designed considering that the characteristics of design process model. In facilities arrangement of middle and high schools, it shows diverse forms of arrangement from existing uniform straight type, however, most of schools do not being against the simple in their external space. Therefore, it requires an expansion of space siæ and facilities for the change of school life outside class.

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Spatial Prediction Based on the Bayesian Kriging with Box-Cox Transformation

  • Choi, Jung-Soon;Park, Man-Sik
    • Communications for Statistical Applications and Methods
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    • v.16 no.5
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    • pp.851-858
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    • 2009
  • In the last decades, there has been much interest in climate variability because its change has dramatic effects on humanity. Especially, the precipitation data are measured over space and their spatial association is so complicated. So we should take into account such a spatial dependency structure while analyzing the data. However, in linear models for analyzing the data, data sets show severely skewed distribution. In the paper, we consider the Box-Cox transformation to satisfy the normal distribution prior to the analysis, and employ a Bayesian hierarchical framework to investigate the spatial patterns. The data set we considered is monthly average precipitation of the third quarter of 2007 obtained from 347 automated monitoring stations in Contiguous South Korea.