• 제목/요약/키워드: Spatial Clusters

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공간군집특성을 고려한 우리나라 물부족 핫스팟 지역 분석 (Spatial analysis of water shortage areas in South Korea considering spatial clustering characteristics)

  • 이동진;김태웅
    • 한국수자원학회논문집
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    • 제57권2호
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    • pp.87-97
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    • 2024
  • 본 연구에서는 국가물관리기본계획의 2030년 물부족량 전망자료를 이용하여 공간군집특성을 고려한 우리나라 물부족 핫스팟 지역을 분석하였다. 물부족 최심 군집지역 도출을 위하여 표준유역 기준의 과거 최대 가뭄(약 50년 빈도)에 대한 물부족량 자료를 이용하여, Local Moran's I와 Getis-Ord Gi* 통계량으로 공간군집분석을 수행하였다. 클러스터맵(Cluster Map)을 통해 물부족 공간군집 대상지역을 선정하고, 공간적 군집 특성은 p-값 및 모란 산점도를 통해 적정성을 검증하였다. 분석 결과, 한강권역 내 1개 군집[임진강하류(#1023) 및 주변]과 낙동강권역 내 2개 군집 [대종천(#2403) 및 주변, 가화천(#2501) 및 주변] 지역이 물부족이 심각한 핫스팟 지역으로 나타났으며, 한강권역 내 1개 군집[남한강하류 (#1007) 및 주변]과 낙동강권역 내 1개 군집[병성천(#2006) 및 주변] 지역이 물부족 HL (해당지역은 물부족량이 많고 주변지역은 물부족량이 적은) 지역으로 나타났다. 표준유역단위 공간군집분석을 수행할 경우 물부족 공간군집지역 전체가 통계량 기준을 100% 만족하여 통계적으로 유의미한 결과가 도출되었다. 이는 표준유역 단위로 공간군집분석을 할 경우 가변적 공간단위 문제를 일정 부분 해결한 것으로 공간군집분석의 정확성이 상대적으로 높아졌다.

THE PROPERTIES OF DUST EMISSION IN THE GALACTIC CENTER REGION REVEALED BY FIS-FTS OBSERVATIONS

  • Yasuda, A.;Kaneda, H.;Takahashi, A.;Nakagawa, T.;Kawada, M.;Okada, Y.;Takahashi, H.;Murakami, N.
    • 천문학논총
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    • 제27권4호
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    • pp.221-222
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    • 2012
  • We present the results of far-infrared spectral mapping of the Galactic center region with FIS-FTS, which covered the two massive star-forming clusters, Arches and Quintuplet. We find that two dust components with temperatures of about 20 K and 50 K are required to fit the overall continuum spectra. The warm dust emission is spatially correlated with the [OIII] $88{\mu}m$ emission and both are likely to be associated with the two clusters, while the cool dust emission is more widely distributed without any clear spatial correlation with the clusters. We find differences in the properties of the ISM around the two clusters, suggesting that the star-forming activity of the Arches cluster is at an earlier stage than that of the Quintuplet cluster.

WASHINGTON PHOTOMETRY OF THE GLOBULAR CLUSTERS IN THE VIRGO GIANT ELLIPTICAL GALAXY M86

  • Park, Hong-Soo
    • 천문학회지
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    • 제45권3호
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    • pp.71-84
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    • 2012
  • We present a photometric study of the globular clusters (GCs) in the Virgo giant elliptical galaxy M86 based on Washington $CT_1$ images. The colors of the GCs in M86 show a bimodal distribution with a blue peak at ($C-T_1$) = 1.30 and a red peak at ($C-T_1$) = 1.72. The spatial distribution of the red GCs is elongated similar to that of the stellar halo, while that of the blue GCs is roughly circular. The radial number density profile of the blue GCs is more extended than that of the red GCs. The radial number density profile of the red GCs is consistent with the surface brightness profile of the M86 stellar halo. The GC system has a negative radial color gradient, which is mainly due to the number ratio of the blue GCs to the red GCs increasing as galactocentric radius increases. The bright blue GCs in the outer region of M86 show a blue tilt: the brighter they are, the redder their mean colors get. These results are discussed in comparison with other Virgo giant elliptical galaxies.

Segmentation and Classification of Lidar data

  • Tseng, Yi-Hsing;Wang, Miao
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.153-155
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    • 2003
  • Laser scanning has become a viable technique for the collection of a large amount of accurate 3D point data densely distributed on the scanned object surface. The inherent 3D nature of the sub-randomly distributed point cloud provides abundant spatial information. To explore valuable spatial information from laser scanned data becomes an active research topic, for instance extracting digital elevation model, building models, and vegetation volumes. The sub-randomly distributed point cloud should be segmented and classified before the extraction of spatial information. This paper investigates some exist segmentation methods, and then proposes an octree-based split-and-merge segmentation method to divide lidar data into clusters belonging to 3D planes. Therefore, the classification of lidar data can be performed based on the derived attributes of extracted 3D planes. The test results of both ground and airborne lidar data show the potential of applying this method to extract spatial features from lidar data.

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사회적 경제에 관한 경제지리학의 연구 주제 (Economic Geographical Research Agenda for Social Economy)

  • 주성재;노경란
    • 한국경제지리학회지
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    • 제21권2호
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    • pp.173-191
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    • 2018
  • 이 연구는 사회적 경제에 관한 학술적 관심과 정책적 적용이 증가하는 추세에 주목하여 사회적 경제를 공간적 관점에서 바라보는 지리학의 연구 주제를 정리하려는 목적으로 이루어졌다. 사회적 경제가 갖는 사회적 가치의 추구라는 지향성은 독특한 공간 특성을 나타낼 것이라 보았고, 이를 위해 사회혁신, 사회적 경제조직, 사회적 기업 등 관련 개념을 통해 공간적 의미를 갖는 요소를 도출하였다. 사회적 경제의 공간적 맥락을 이해하는 방법으로서 사회적 기업가정신이 발현되는 공간의 성격, 사회적 경제조직의 의사결정이 갖는 장소기반의 맥락, 사회적 문제 해결이라는 수요와 사회적 경제조직의 활동을 지원하는 공급의 특성이 상호작용하며 만들어가는 공간의 특성에 주목할 것이 제안된다. 사회혁신클러스터에 대해서는 기존의 산업클러스터와 차별화되는 특성을 밝히는 것이 중요함을 지적한다. 지역사회와 갖는 밀착의 본질, 당위성, 요소에 대해서는 착근성 개념을 적용할 것을 제안한다.

Bootstrap Method for k-Spatial Medians

  • Jhun, Myoung-Shic
    • Journal of the Korean Statistical Society
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    • 제15권1호
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    • pp.1-8
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    • 1986
  • The k-medians clustering method is considered to partition observations into k clusters. Consistency and advantage of bootstrap confidence sets of k optimal cluster centers are discussed. The k-medians and k-means clustering methods are compared by using actual data sets.

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Revealing Natures of Ultra-diffuse Galaxies: Failed Giant Galaxies or Dwarf Galaxies?

  • Lee, Jeong Hwan;Kang, Jisu;Lee, Myung Gyoon;Jang, In Sung
    • 천문학회보
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    • 제42권2호
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    • pp.39.3-40
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    • 2017
  • Ultra-diffuse galaxies (UDGs) are an unusual galaxy population. They are ghostlike galaxies with fainter surface brightness than normal dwarf galaxies, but they are as large as MW-like galaxies. The key question on UDGs is whether they are 'failed' giant galaxies or 'extended' dwarf galaxies. To answer this question, we study UDGs in massive galaxy clusters. We find an amount of UDGs in deep HST images of three Hubble Frontier Fields clusters, Abell 2744 (z=0.308), Abell S1063 (z=0.347), and Abell 370 (z=0.374). These clusters are the farthest and most massive galaxy clusters in which UDGs have been discovered until now. The color-magnitude relations show that most UDGs have old stellar population with red colors, while a few of them show bluer colors implying the existence of young stars. The stellar masses of UDGs show that they have less massive stellar components than the bright red sequence galaxies. The radial number density profiles of UDGs exhibit a drop in the central region of clusters, suggesting some of them were disrupted by strong gravitational potential. Their spatial distributions are not homogeneous, which implies UDGs are not virialized enough in the clusters. With virial masses of UDGs estimated from the fundamental manifold, most UDGs have M_200 = 10^10 - 10^11 M_Sun indicating that they are dwarf galaxies. However, a few of UDGs more massive than 10^11 M_Sun indicate that they are close to failed giant galaxies.

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SEJONG OPEN CLUSTER SURVEY (SOS). 0. TARGET SELECTION AND DATA ANALYSIS

  • Sung, Hwankyung;Lim, Beomdu;Bessell, Michael S.;Kim, Jinyoung S.;Hur, Hyeonoh;Chun, Moo-Young;Park, Byeong-Gon
    • 천문학회지
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    • 제46권3호
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    • pp.103-123
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    • 2013
  • Star clusters are superb astrophysical laboratories containing cospatial and coeval samples of stars with similar chemical composition. We initiate the Sejong Open cluster Survey (SOS) - a project dedicated to providing homogeneous photometry of a large number of open clusters in the SAAO Johnson-Cousins' UBV I system. To achieve our main goal, we pay much attention to the observation of standard stars in order to reproduce the SAAO standard system. Many of our targets are relatively small sparse clusters that escaped previous observations. As clusters are considered building blocks of the Galactic disk, their physical properties such as the initial mass function, the pattern of mass segregation, etc. give valuable information on the formation and evolution of the Galactic disk. The spatial distribution of young open clusters will be used to revise the local spiral arm structure of the Galaxy. In addition, the homogeneous data can also be used to test stellar evolutionary theory, especially concerning rare massive stars. In this paper we present the target selection criteria, the observational strategy for accurate photometry, and the adopted calibrations for data analysis such as color-color relations, zero-age main sequence relations, Sp - MV relations, Sp - $T_{eff}$ relations, Sp - color relations, and $T_{eff}$ - BC relations. Finally we provide some data analysis such as the determination of the reddening law, the membership selection criteria, and distance determination.

Pattern Recognition of Meteorological fields Using Self-Organizing Map (SOM)

  • Nishiyama Koji;Endo Shinichi;Jinno Kenji
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2005년도 학술발표회 논문집
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    • pp.9-18
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    • 2005
  • In order to systematically and visually understand well-known but qualitative and rotatively complicated relationships between synoptic fields in the BAIU season and heavy rainfall events in Japan, these synoptic fields were classified using the Self-Organizing Map (SOM) algorithm. This algorithm can convert complex nonlinear features into simple two-dimensional relationships, and was followed by the application of the clustering techniques of the U-matrix and the K-means. It was assumed that the meteorological field patterns be simply expressed by the spatial distribution of wind components at the 850 hPa level and Precipitable Water (PW) in the southwestern area including Kyushu in Japan. Consequently, the synoptic fields could be divided into eight kinds of patterns (clusters). One of the clusters has the notable spatial feature represented by high PW accompanied by strong wind components known as Low-Level Jet (LLJ). The features of this cluster indicate a typical meteorological field pattern that frequently causes disastrous heavy rainfall in Kyushu in the rainy season. From these results, the SOM technique may be an effective tool for the classification of complicated non-linear synoptic fields.

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A Feature of Stellar Density Distribution within Tidal Radius of Globular Cluster NGC 6626 in the Bulge Direction

  • Chun, Sang-Hyun;Lim, Dong-Wook;Kim, Myo-Jin;Sohn, Young-Jong
    • 천문학회보
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    • 제35권2호
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    • pp.82.1-82.1
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    • 2010
  • We have investigated the spatial configuration of stars within the tidal radius of metal poor globular cluster NGC 6626 in the bulge direction. Data were obtained in near-IR J,H,Ks bands with wide-field ($20'\times20'$) detector, WIRCam at CFHT. To trace the stellar density around target cluster, we sorted cluster's member stars by using a mask filtering algorithm and weighting the stars on the color-magnitude diagram. From the weighted surface density map, we found that the stellar spatial distributions within the tidal radius appear asymmetric and distorted features. Especially, we found that more prominent over-density features are extending toward the direction of Galactic plane rather than toward the directions of the Galactic center and its orbital motion. This orientation of the stellar density distribution can be interpreted with result of disk-shock effect of the Galaxy that the cluster had been experienced. Indeed, this over-density feature are well represented in the radial surface density profile for different angular sections. As one of the metal poor globular clusters with extended horizontal branch (EHB) in the bulge direction, NGC 6626 is kinematically decoupled from the normal clusters and known to have disk motion of peculiar motion. Thus, our result will be able to add further constraints to understand the origin of this cluster and the formation of bulge region in early universe.

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