• Title/Summary/Keyword: Spatial Clusters

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On a Modified k-spatial Medians Clustering

  • Jhun, Myoungshic;Jin, Seohoon
    • Journal of the Korean Statistical Society
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    • v.29 no.2
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    • pp.247-260
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    • 2000
  • This paper is concerned with a modification of the k-spatial medians clustering. To find a suitable number of clusters, the number k of clusters is incorporated into the k-spatial medians clustering criterion through a weight function. Proposed method for the choice of the weight function offers a reasonable number of clusters. Some theoretical properties of the method are investigated along with some examples.

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Industrial Clusters and Their Boundaries: A Case Study for Plants in the Cincinnati metropolitan Area (씬씨내티 대도시지역의 산업군집과 경계설정)

  • Lee, Bo-Young
    • Journal of the Korean association of regional geographers
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    • v.6 no.3
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    • pp.169-184
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    • 2000
  • Industrial clusters and their boundaries are identified by factor and hot spot analyses for the greater Cincinnati metropolitan area in USA. While traditional input-output approach identified aspatial industrial clusters, this study combines traditional approach with GIS techniques to identify their boundaries. Combining the results of input-output industrial clusters with the leading industries groups, we have identified five leading industry clusters. They are food (20), chemicals (28), metal manufacturing (32), metal products (33), and machinery (35). We also used hot spot analysis to visualize each industry cluster on the research area by using Arcview software. Determining the degree to which such industries are associated spatially and their spatial delimitation may be an additional approach to measuring the efficiency of the spatial organization of an economy. It is hoped that the industrial clusters and industrial spatial clusters approaches may also proved the basis for the development of new models of the spatial arrangement of industry at a level more aggregated than that of the single plant or firm.

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How to quantify the similarity of 2D distributions: Comparison of spatial distribution of Dark Matter and Intracluster light

  • Yoo, Jaewon;Ko, Jongwan;Sabiu, Cristiano G.;Chun, Kyungwon;Shin, Jihye;Hwang, Ho Seong;Smith, Rory;Kim, Hyowon
    • The Bulletin of The Korean Astronomical Society
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    • v.46 no.2
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    • pp.67.4-68
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    • 2021
  • In studying the dynamical evolution of galaxy clusters, one intriguing approach is to compare the spatial distributions of various components, such as the dark matter, the member galaxies, the gas, and the intracluster light (ICL; the diffuse light from stars, which are not bound any individual cluster galaxy). If we find a visible component whose spatial distribution coincides with the dark matter distribution, then we could draw a dark matter map without requiring laborious weak lensing analysis. Furthermore, if the component traces the dark matter distribution better for more relaxed galaxy cluster, we could use the similarity as a dynamical stage estimator of the galaxy cluster. We present a novel new methodology to quantify the similarity of two or more 2-dimensional spatial distributions. We apply the method to a sample of galaxy clusters at different dynamical stages simulated within N-cluster Run, which is an N-body simulation using the galaxy replacement technique. Among the various components (stellar particles, galaxies, ICL), the velocity defined ICL+ brightest cluster galaxy (BCG) component traces the dark matter best. Between the sample galaxy clusters, the relaxed clusters show stronger similarity of the spatial distribution between the dark matter and ICL+BCG than the dynamically young clusters.

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Observational Evidence of Merging and Accretion in the Milky Way Galaxy from the Spatial Distribution of Stars in Globular Clusters

  • Chun, Sang-Hyun
    • The Bulletin of The Korean Astronomical Society
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    • v.38 no.2
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    • pp.76-76
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    • 2013
  • The current hierarchical model of galaxy formation predicts that galaxy halos contain merger relics in the form of long stellar streams. In order to find stellar substructures in galaxy, we focused our investigation on the stellar spatial density around globular clusters and on the quantitative properties of the evolved sequences in the color-magnitude diagrams (CMDs). First, we investigated the spatial configuration of stars around five metal-poor globular clusters in halo region (M15, M30, M53, NGC 5053, and NGC 5466) and one metal-poor globular cluster in bulge region (NGC 6626). Our findings indicate that all of these globular clusters show strong evidence of extratidal features in the form of extended tidal tails around the clusters. The orientations of the extratidal features show the signatures of tidal tails tracing the clusters' orbits and the effects of dynamical interactions with the galaxy. These features were also confirmed by the radial surface density profiles and azimuthal number density profiles. Our results suggest that these six globular clusters are potentially associated with the satellite galaxies merged into the Milky Way. Second, we derived the morphological parameters of the red giant branch (RGB) from the near-infrared CMDs of 12 metal-poor globular clusters in the Galactic bulge. The photometric RGB shape indices such as colors at fixed magnitudes, magnitudes at fixed colors, and the RGB slope were measured for each cluster. The magnitudes of the RGB bump and tip were also estimated. The derived RGB parameters were used to examine the overall behavior of the RGB morphology as a function of cluster metallicity. The behavior of the RGB shape parameters was also compared with the previous observational calibration relation and theoretical predictions of the Yonsei-Yale isochrones. Our results of studies for stellar spatial distribution around globular clusters and the morphological properties of RGB stars in globular clusters could add further observational evidence of merging scenario of galaxy formation.

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Spatial Configuration of Stars Around Three Metal-poor Globular Clusters in the Galatic Bulge, NGC 6266, NGC 6273, and NGC 6681 : Surface Density Map and Radial Density Profile

  • Han, Mihwa;Chun, Sang-Hyun;Choudhury, Samyaday;Chiang, Howoo;Lee, Sowon;Sohn, Young-Jong
    • Journal of Astronomy and Space Sciences
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    • v.34 no.2
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    • pp.83-97
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    • 2017
  • We present extra-tidal features of spatial configuration of stars around three metal-poor globular clusters (NGC 6266, NGC 6273, NGC 6681) located in the Galactic bulge. The wide-field photometric data were obtained in BVI bands with the MOSAIC II camera at CTIO 4 m Blanco telescope. The derived color-magnitude diagrams (CMDs) contain stars in a total $71^{\prime}{\times}71^{\prime}$ area including a cluster and its surrounding field outside of the tidal radius of the cluster. Applying statistical filtering technique, we minimized the field star contaminations on the obtained cluster CMDs and extracted the cluster members. On the spatial stellar density maps around the target clusters, we found overdensity features beyond the tidal radii of the clusters. We also found that the radial density profiles of the clusters show departures from the best-fit King model for their outer regions which support the overdensity patterns.

Spatial Configuration of Stars around Metal-Poor Globular Clusters in the Galactic Bulge

  • Han, Mi-Hwa;Chun, Sang-Hyun;Chang, Cho-Rhong;Jung, Mi-Young;Lim, Dong-Wook;Sohn, Young-Jong
    • Bulletin of the Korean Space Science Society
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    • 2009.10a
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    • pp.30.1-30.1
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    • 2009
  • We present extra-tidal features of spatial configuration of stars around three metal-poor globular clusters (NGC 6273, NGC 6266, NGC 6681) located in the Galactic bulge. The accurate wide-field photometric data were obtained in BVI bands with the MOSAICII camera at CTIO Blanco 4m telescope. The derived color-magnitude diagrams (CMDs) covered a total $71'\times71'$ area including a cluster and its surrounding field outside of the tidal radius of the cluster. Applying the statistical technique of the CMD-mask algorithm, we minimized the field star contaminations on the obtained CMDs and chose properly the cluster's member stars. On the spatial stellar density maps around the target clusters, we found overdensity features beyond the tidal radii of the clusters. We also found that the radial density profiles of the clusters show departures from the best-fit King model for the outer region of clusters. The results add further observational evidence that the observed metal-poor bulge clusters would be originated from accreted satellite systems, indicative of the merging scenario of the formation of the Galaxy.

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County Level Clustering on Alcohol and HIV Mortality

  • Park, Byeonghwa
    • Communications for Statistical Applications and Methods
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    • v.20 no.1
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    • pp.53-62
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    • 2013
  • This study focuses on spatial/temporal relationship deaths caused by Human Immunodeficiency Virus (HIV) and Alcohol Use Disorder (AUD). Several studies have found links between these two diseases. By looking for clusters in mortality of Alcohol and HIV related deaths this study contributes to the field through the identification of exact spatial/temporal time of high and low occurrence risks based on the observed over the expected number of deaths. This study does not provide political or social interpretations of the data. It merely wants to show where clusters are found.

The Identification of Industrial Clusters in the Chungbuk Region in Korea

  • Cho, Cheol-Joo
    • World Technopolis Review
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    • v.6 no.2
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    • pp.130-147
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    • 2017
  • This paper aims to identify the spatial concentrations and linkage properties of industrial clusters in the Chungbuk Province region in Korea using a three-step approach, which is composed of the cluster index, Getis-Ord's $Gi^*$, and qualitative input-output analysis. The results of the study reveal: a) what industrial sectors are concentrated and where they are; b) where the spatially interdependent industries are; and c) how the industrial sectors of the identified clusters in different locations are vertically interconnected. In addition, the degree of strength of the interindustry linkages between industrial clusters are assessed. Based on the findings, some plausible industrial policies are suggested.

Tidal Stripping Substructure on Spatial Distribution of Stars in Several Globular Clusters from UKIRT Observation

  • Sohn, Young-Jong;Chun, Sang-Hyun;Kang, Minhee
    • The Bulletin of The Korean Astronomical Society
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    • v.38 no.2
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    • pp.78.1-78.1
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    • 2013
  • The hierarchical model of galaxy formation predicts that galaxy halos contain merger relics in the form of long stellar stream. Thus, tidal substructure of stars around globular clusters, such as tidal tails, could be an essential evidence of the merging scenario in the formation of the Galaxy. From April 2010 to December 2012, we obtained $45^{\prime}{\times}45^{\prime}$ wide-field JHKs near-infrared photometric imaging data for about 20 globular clusters in the Milky Way, and examined the stellar density distribution around globular clusters. Here, we introduce the preliminary results of stellar spatial distributions and radial surface density profiles of four globular clusters. In order to minimize the field star contamination and identify the cluster's member candidates stars, we used a statistical filtering algorithm and gave weights on the CMDs of globular clusters. In two-dimensional stellar density maps, we could found tidal stripping structures for some globular clusters. The orientation of tidal substructure seems to associate with the effects of dynamical interactions with the Galaxy and cluster's orbit. Indeed, the radial surface density profile accurately describes this stripping structures as a break in the slope of profile. The observational results could give us further observational evidence of merging scenario of the formation of the Galaxy.

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Analyzing Spatial Patterns of Manufacturing Employment of the Disaster Safety Sector in South Korea (우리나라 재난안전분야의 제조업 고용 공간패턴 분석)

  • Kim, Geunyoung
    • Journal of the Society of Disaster Information
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    • v.18 no.2
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    • pp.351-363
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    • 2022
  • Purpose: The objective of this research is to find manufacturing employment clusters of the disaster safety sector in South Korea. Method: The LISA(Local Indicator of Spatial Association) analysis method is applied to the employment data of 229 local governments categorized by the 2019 Korean Standard Industry Classification and Disaster Safety Industry Special Classification. The LISA method identifies the spatial dependency of employment and the spatial cluster of industries. Result: Three research findings are summarized. First, employment of the disaster safety industry in South Korea occupies about six percent of the total manufacturing industry. The annual proportion is in increasing trend. Second, the employment cluster of the disaster safety industry is located in the western side of the Seoul metropolitan region. Third, manufacturing businesses of industrial safety goods preventing industrial accidents are concentrated in regions of Busan, Ulsan, Changwon, Gyeongnam, and Gimhae, where heavy and chemical industries and industrial complexes are formed. Conclusion: Investment and promotion policies are suggested to the manufacturing employment clusters of the disaster safety industry for fostering these regions. Research results can be used to the better policies for industrial development and employment improvement of manufacturing clusters of the disaster safety industry in South Korea.