• Title/Summary/Keyword: Spatial clustering analysis

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Cluster of Parasite Infections by the Spatial Scan Analysis in Korea

  • Bae, Kyoung-Eun;Chang, Yoon Kyung;Kim, Tong-Soo;Hong, Sung-Jong;Ahn, Hye-Jin;Nam, Ho-Woo;Kim, Dongjae
    • Parasites, Hosts and Diseases
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    • v.58 no.6
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    • pp.603-608
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    • 2020
  • This study was performed to find out the clusters with high parasite infection risk to discuss the geographical pattern. Clusters were detected using SatScan software, which is a statistical spatial scan program using Kulldorff's scan statistic. Information on the parasitic infection cases in Korea 2011-2019 were collected from the Korea Centers for Disease Control and Prevention. Clusters of Ascaris lumbricoides infection were detected in Jeollabuk-do, and T. trichiura in Ulsan, Busan, and Gyeongsangnam-do. C. sinensis clusters were detected in Ulsan, Daegu, Busan, Gyeongsangnamdo, and Gyeongsangbuk-do. Clusters of intestinal trematodes were detected in Ulsan, Busan, and Gyeongsangnam-do. P. westermani cluster was found in Jeollabuk-do. E. vermicularis clusters were distributed in Gangwon-do, Jeju-do, Daegu, Daejeon, and Gwangju. This clustering information can be referred for surveillance and control on the parasitic infection outbreak in the infection-prone areas.

Analyzing the spectral characteristic and detecting the change of tidal flat area in Seo han Bay, North Korea using satellite images and GIS (위성영상과 GIS를 이용한 북한 서한만 지역의 간석지 분광특성 및 변화 탐지)

  • Jo, Myung-Hee
    • Journal of the Korean Association of Geographic Information Studies
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    • v.8 no.2
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    • pp.44-54
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    • 2005
  • In this study the tidal area in Seo han bay, North Korea was detected and extracted by using various satellite images (ASTER, KOMPSAT EOC, Landsat TM/ETM+) and GIS spatial analysis. Especially, the micro-landform was classified through the spectral characteristic of each satellite image and the change of tidal flat size was detected on passing year. For this, the spectral characteristics of eight tidal flat area in Korea, which are called as Seo han bay, Gwang ryang bay, Hae iu bay, Gang hwa bay, A san bay, Garorim bay, Jul po bay and Soon chun bay, were analyzed by using multi band of multi spectral satellite images such as Landsat TM/ETM+. Moreover, the micro-landform tidal flat in Seo han bay, North Korea was extracted by using ISODATA clustering based on the result of spectral characteristic. In addition, in order to detect the change of tidal flat size on passing years, the ancient topography map (1918-1920) was constructed as GIS DB. Also, the tidal flat distribution map based on the temporal satellite images were constructed to detect the tidal flat size for recent years. Through this, the efficient band to classify the micro-landform and detect its boundary was clarified and one possibility of KOMPSAT EOC application could be also introduced by extracting the spatial information of tidal flat efficiently.

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A Space-Time Cluster of Foot-and-Mouth Disease Outbreaks in South Korea, 2010~2011 (구제역의 시.공간 군집 분석 - 2010~2011 한국에서 발생한 구제역을 사례로 -)

  • Pak, Son Il;Bae, Sun Hak
    • Journal of the Korean association of regional geographers
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    • v.18 no.4
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    • pp.464-472
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    • 2012
  • To assess the space-time clustering of FMD(Foot-and-Mouth Disease) epidemic occurred in Korea between November 2010 to April 2011, geographical information system (GIS)-based spatial analysis technique was used. Farm address and geographic data obtained from a commercial portal site were integrated into GIS software, which we used to map out the color-shading geographic features of the outbreaks through a process called thematic mapping, and to produce a visual representation of the relationship between epidemic course and time throughout the country. FMD cases reported in northern area of Gyounggi province were clustered in space and time within small geographic areas due to the environmental characteristics which livestock population density is high enough to ease transmit FMD virus to the neighboring farm, whereas FMD cases were clustered in space but not in time for southern and eastern area of Gyounggi province. When analyzing the data for 7-day interval, the mean radius of the spatial-time clustering was 25km with minimum 5.4km and maximum 74km. In addition, the radius of clustering was relatively small in the early stage of FMD epidemic, but the size was geographically expanded over the epidemic course. Prior to implementing control measures during the outbreak period, assessment of geographic units potentially affected and identification of risky areas which are subsequently be targeted for specific intervention measures is recommended.

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Analysis of the taxi telematics history data based on a state diagram (상태도에 기반한 택시 텔레매틱스 히스토리 데이터 분석)

  • Lee, Jung-Hoon;Kwon, Sang-Cheol
    • Journal of Korea Spatial Information System Society
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    • v.10 no.1
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    • pp.41-49
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    • 2008
  • This paper presents a data analysis method for the taxi telematics system which generates a greate deal of location history data. By the record consist of the basic GPS receiver-generated fields, device-added fields such as taxi operation status, and framework-attached fields such as matched link Identifier and position ratio in a link, each taxi can be represented by a state diagram. The transition and the state definition enable us to efficiently extract such information as pick-up time, pick-up distance, dispatch time, and dispatch distance. The analysis result can help to verify the efficiency of a specific taxi dispatch algorithm, while the analysis framework can invite a new challenging service including future traffic estimation, trajectory clustering, and so on.

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Design Characteristics of Village Parks Through analysis of Structuring Themes -The Case of Seoul City- (형태주제 분석을 통한 마을마당의 설계특성 -서울시의 사례-)

  • Kim, Shin-Won;Heo, Jun
    • Journal of the Korean Institute of Landscape Architecture
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    • v.28 no.2
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    • pp.71-84
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    • 2000
  • In this study, design characteristics of Village Parks in Seoul are investigated through an analysis of structuring themes expressed in spatial design. The goals and objectives of this study are: to emphasize the significance of design themes; and to demonstrate an approach to the design of landscapes through an analysis of structuring themes. For conducting this study, geometric forms and naturalistic forms were examined first. That is, the following 15 structuring themes were examined, as guiding themes: the 90$^{\circ}$rectangular theme; the 45$^{\circ}$/90$^{\circ}$angular theme; the 30$^{\circ}$/60$^{\circ}$ angular theme; circles on circle; concentric circles and radii; arcs and tangents; circle segments; the ellipse; the spiral; the meander; the free ellipse and scallops; the free spiral; the irregular polygon; the organic edge; and clustering and fragmentation. Forty five Village Parks in Seoul, built between 1996 and 1997, were analyzed through these 15 structuring themes. An analysis of Village Parks was conducted by the following two categories: land shape and structuring themes; and design directions and structuring themes. The research results are as follows; 1) Geometric forms are more frequently applied than naturalistic forms. 2) Regardless of land shape, geometric forms derived from simple primary shapes, the square and the circle, are frequently used. And the meander and the irregular polygon among naturalistic forms are frequently used. 3) Regarding design directions and structuring themes, design concepts, symbolic meanings and spatial forms are, to some degree, integrated. 4) The spiral is not applied among geometric forms. And the meander and the irregular polygon, as naturalistic forms, are frequently utilized. Research findings obtained from this study could be used in the designing of future Village Parks. For a profound study, future, research is needed in two-dimensional plans and three-dimensional elements of Village Parks.

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A Spatial Data Mining Method by Clustering Analysis (클러스터링 분석에 의한 공간데이터마이닝 방법)

  • 손은정;강인수;김태완;이기준
    • Proceedings of the Korean Information Science Society Conference
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    • 1998.10b
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    • pp.161-163
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    • 1998
  • 지리정보시스템과 같이 방대한 양의 공간데이터를 다루는 응용시스템에서 공간데이터베이스로부터 규칙적인 특성이나, 혹은 관심 있는 지식을 추출해내는 공간데이터마이닝의 역할은 매우 중요하다. 이를 위해 지금까지 이루어진 방법들에는 여러 가지가 있지만 그 중에서 대표적인 방법이 클러스터링으로 이는 단지 기하학적인 거리에 기반을 둔 공간적인 집중성과 분포도를 찾는 데에만 한정되어 있다. 그러나, 공간데이터마이닝을 위해서는 공간클러스터가 형성된 원인을 분석하는 것 또한 필요하다. 따라서 본 연구에서는 공간 클러스터링에서 얻어진 결과를 다른 공간적인 객체와의 연관성을 분석하여 공간적 집중성과 분포도를 유발하는 원인을 찾는 방법을 다룬다. 우선 몇 가지의 거리를 정의하는 것에 의해 클러스터와 공간객체사이의 연관성을 분석하는 방법을 제시하고, 생성된 공간 클러스터가 다수의 공간객체에 영향을 받을 경우, 그 공간 클러스터를 각각 단위클러스터로 분리하는 방법을 제시한다.

Ichthyofaunistic Biogeography of the East Sea: Comparison between Benthic and Pelagic Zonalities

  • Kafanov, Alexander I.;Volvenko, Igor V.;Pitruk, Dmitry L.
    • Ocean and Polar Research
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    • v.23 no.1
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    • pp.35-49
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    • 2001
  • An ichthyofauna analysis of the East Sea using quantitative investigation procedures for latitudinal variations of the species richness and clustering of the species list is presented to illustrate the application of the adopted geographical scaling (less than 1:10,000,000) which provides a principal opportunity for common benthic and pelagic biogeographical zonation. The distribution of both pelagic and benthic marine fish biota at a scale of biosphere (or its major sections) was highly influenced by spatial nonuniformity of hydrological structure associated with the various water circulations and frontal zones. Following zoogeographical zonations were established for the East Sea: Osaka, East Korea, Primorye, North Primorye, Northern East Sea, Uetsu, Tsugaru, Soya and West Sakhalin.

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Spatio-temporal Load Analysis Model for Power Facilities using Meter Reading Data (검침데이터를 이용한 전력설비 시공간 부하분석모델)

  • Shin, Jin-Ho;Kim, Young-Il;Yi, Bong-Jae;Yang, Il-Kwon;Ryu, Keun-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.11
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    • pp.1910-1915
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    • 2008
  • The load analysis for the distribution system and facilities has relied on measurement equipment. Moreover, load monitoring incurs huge costs in terms of installation and maintenance. This paper presents a new model to analyze wherein facilities load under a feeder every 15 minutes using meter reading data that can be obtained from a power consumer every 15 minute or a month even without setting up any measuring equipment. After the data warehouse is constructed by interfacing the legacy system required for the load calculation, the relationship between the distribution system and the power consumer is established. Once the load pattern is forecasted by applying clustering and classification algorithm of temporal data mining techniques for the power customer who is not involved in Automatic Meter Reading(AMR), a single-line diagram per feeder is created, and power flow calculation is executed. The calculation result is analyzed using various temporal and spatial analysis methods such as Internet Geographic Information System(GIS), single-line diagram, and Online Analytical Processing (OLAP).

Analysis of Area Type Classification of Seoul Using Geodemographics Methods (Geodemographics의 연구기법을 활용한 서울시 지역유형 분석 연구)

  • Woo, Hyun-Jee;Kim, Young-Hoon
    • Journal of the Korean association of regional geographers
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    • v.15 no.4
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    • pp.510-523
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    • 2009
  • Geodemographics(GD) can be defined as an analytical approach of socio-economic and behavioral data about people to investigate geographical patterns. GD is based on the assumptions that demographical and behavioral characteristics of people who live in the same neighborhood are similar and then the neighborhoods can be categorized with spatial classifications with the geographical classifications. Thus, this paper, in order to identify the applicability of the geographical classification of the GD, explores the concepts of the geodemographics into Seoul city areas with Korea census data sets that contain key characteristics of demographic profiles in the area. Then, this paper attempt to explain each area classification profile by using clustering techniques with Ward's and k-means statistical methods. For this as as as, this paper employs 2005 Census dataset released by Korea National Statistics Office and the neighborhood unit is based on Dong level, the smallest administrative boundary unit in Korea. After selecting and standardizing variables, several areas are categorized by the cluster techniques into 13, this paps as distinctive cluster profiles. These cluster profiles are used to cthite a short description and expand on the cluster names. Finally, the results of the classification propose a reasonable judgement for target area types which benefits for the people who make a spatial decision for their spatial problem-solving.

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Locational Characteristics of Survived and Closed Coffee Shops by Spatial Cluster Type (커피전문점 생존 및 폐업 분포의 군집 유형별 생멸 특성)

  • Park, Sohyun;Eo, Jeongmin;Lee, Keumsook
    • Journal of the Economic Geographical Society of Korea
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    • v.23 no.4
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    • pp.408-424
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    • 2020
  • This study attempts to analyze the spatial clustering of survived and closed coffee shops based on the land price and land use for each coffee shop location. The locational characteristics of survived and closed coffee shops for each cluster type are identified through various locational properties such as transport factors (physical accessibility), shop properties (franchise information, newly open/closed business experience), and spatial density (kernel density estimation). To this end, we categorize the clusters of survived and closed coffee shops into three types (general locational distribution type, commercialization type of residential area and location type of commercial center), and then analyze their locational characteristics. As the result, we found that the locations of newly open and closed coffee shops show different distribution characteristics, even though they are classified into the same type due to the double sidedness of new open and closed locations. The results of this study can be provided as basic data for planning the location of coffee shop as well as regional commercial district.