• Title/Summary/Keyword: Spatial location pattern

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A Feasibility Study on the Lifelong Education Program of Holography Using Simple Hologram Making Tools

  • Park, Mi-Soo;Choi, Yoon-Hee;Ha, Sung-Jae;Gentet, Philippe;Lee, Jae-Hyun;Hwang, Lee-Hwan;Kwon, Soon-Chul;Lee, Seung-Hyun
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.128-136
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    • 2020
  • In this paper, we presented a simple hologram recording set for learners to broaden their program choices and experience holographic techniques with lifelong education programs. In order to obtain quality 3D images, the quality of light sources and recording mediums, which are the main elements of hologram recording, must be good. In addition, due to the characteristics of the hologram, the ambient vibrations shall be minimized for accurate interference pattern recording. The simple hologram recording set presented in this paper has not significantly restricted in space and location, and anyone can easily experience it at a reasonable price compared to the existing hologram production method. Also, it can make two different type of hologram (transmission and reflection) for providing easy access to recording and reconstruction of the hologram. Experiments have shown that holographic manufacturing practices are a very useful way to educate the public on optics and photonics technologies.

A study on the location and school district of elementary schools at Chongro-gu, Seoul (GIS를 이용한 학군 설정의 시론적 연구 -종로구 국민학교 학군을 중심으로-)

  • ;;Choi, Woun-Sik;Yoon, Sung-Hee
    • Journal of the Korean Geographical Society
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    • v.30 no.3
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    • pp.311-323
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    • 1995
  • This study attempts to examine the location and district of elementary schools at Chongro-gu. For the convenience of the analysis, the data are analysed with the methods of GIS network model. For the purpose data was collected from Statistical Yearbook of Education in 1994 and Census of Housing and Population in 1990. Results may be summarized as follows. First of all, spatial pattern of elementary school at Chongro-gu shows outward diffusion because of problems, rising of land value, and out-migration of population in the area. Secondly, for the analysis of locational situation this paper uses the data such as population of 5-9 age, the number of housing, accessibility, and land value. The location of elementary school is ciassified into 4 types; the best area, better area, worse area, the worst area. The best area is Pyongchana-dong, Buam-dong, and Ewha-dong and the worst area is Chongro 1ga-dona, Chonaro 2ga-dong and Sechongno-dong. Thirdly, the alternative plans of school district are presented for the maximum equity and efficience, and security of school attendantes. The former emphasizes the minimization of commuting distance, the later emphasizes the minimization of the an comfortable facilities such as main streets in school district. Present school district which is based upon administrative dong should be changed to roadbased school district.

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Exploring Spatial Patterns of Theft Crimes Using Geographically Weighted Regression

  • Yoo, Youngwoo;Baek, Taekyung;Kim, Jinsoo;Park, Soyoung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.35 no.1
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    • pp.31-39
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    • 2017
  • The goal of this study was to efficiently analyze the relationships of the number of thefts with related factors, considering the spatial patterns of theft crimes. Theft crime data for a 5-year period (2009-2013) were collected from Haeundae Police Station. A logarithmic transformation was performed to ensure an effective statistical analysis and the number of theft crimes was used as the dependent variable. Related factors were selected through a literature review and divided into social, environmental, and defensive factors. Seven factors, were selected as independent variables: the numbers of foreigners, aged persons, single households, companies, entertainment venues, community security centers, and CCTV (Closed-Circuit Television) systems. OLS (Ordinary Least Squares) and GWR (Geographically Weighted Regression) were used to analyze the relationship between the dependent variable and independent variables. In the GWR results, each independent variable had regression coefficients that differed by location over the study area. The GWR model calculated local values for, and could explain the relationships between, variables more efficiently than the OLS model. Additionally, the adjusted R square value of the GWR model was 10% higher than that of the OLS model, and the GWR model produced a AICc (Corrected Akaike Information Criterion) value that was lower by 230, as well as lower Moran's I values. From these results, it was concluded that the GWR model was more robust in explaining the relationship between the number of thefts and the factors related to theft crime.

Agglomeration Patterns of Advertising Industries and Spatial Networks of Advertisement Production (광고산업의 집적 특성과 광고제작의 공간적 네트워크)

  • Koo, Yang-Mi
    • Journal of the Korean Geographical Society
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    • v.45 no.2
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    • pp.256-274
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    • 2010
  • The aim of this study is to examine agglomeration patterns of advertising industries and spatial networks of advertisement production in Korea. The focus of analysis is the agglomeration pattern of advertising industries within Seoul because these are agglomerated in Seoul like other business services. Analysis methods are local Moran's I index and location quotient with the regional percentages of each sector's number of employees. Clusters in Gangnam Area are related to start-up advertising firms and global agencies entering domestic advertising markets. Network analysis is used to investigate the spatial networks of TV advertisement production between advertising agencies(AA) and film productions(FP). After transformation of AA-FP network matrix to regional matrix centrality index and brokerage scores are calculated. This analysis shows individual region's different role and position in the AA-FP network. Many agencies in or out of Gangnam Area outsource most advertisement makings to film productions in Gangnam Area. Advertising industry dusters in Gangnam Area is important as of the destination of advertisement production networks and the circulation of those networks.

Design and Implementation of Driving Pattern based Map Matching on Smart Phone (스마트폰에서 운전자 이동패턴을 이용한 맵매칭 설계 및 구현)

  • Hwang, Jae-Yun;Choi, Se-Hyu
    • Spatial Information Research
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    • v.23 no.4
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    • pp.47-56
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    • 2015
  • Recently, there has been an increase in the number of people who use the smart-phone navigation for using various latest functions such as group driving and location sharing. But smart-phone has a limited storage space for one application, since a lot of applications with different purposes are installed in the smart-phone. For this reason, road network data with a large space of memory used for map matching in the device for navigation cannot be stored in the smart-phone for this reason map matching is impossible. Besides, smart-phone which doesn't use the external GPS device, provides inaccurate GPS information, compared to the device for navigation. This is why the smart-phone navigation is hard to provide accurate location determination. Therefore, this study aims to help map matching that is more accurate than the existing device for navigation, by reducing the capacity of road network data used in the device for navigation through format design of a new road network and conversion and using a database of driver's driving patterns. In conclusion, more accurate map matching was possible in the smart-phone by using a storage space more than 80% less than existing device at the intersection where many roads cross, the building forest that a lot of GPS errors occur, the narrow roads close to the highway. It is considered that more accurate location-based service would be available not only in the navigation but also in various applications using GPS information and map in the future Navigation.

Geospatial Analysis and Modeling in Korea: A Literature Review (한국의 지리공간분석 및 모델링 연구)

  • Lee, Sang-Il;Kim, Kam-Young
    • Journal of the Korean Geographical Society
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    • v.47 no.4
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    • pp.606-624
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    • 2012
  • The main objective of this paper is to provide an adequate and comprehensive review of what has been done in South Korea in the field of geospatial analysis and modeling. This review focuses on spatial data analysis and spatial statistics, spatial optimization, and geosimulation among various aspects of the field. It is recognized that geospatial analysis and modeling in South Korea got through the initial stage during the 1990s when computer and analytical cartography and GIS were introduced, moved to the growth stage during the first decade of the $21^{st}$ century when there was a surge of relevant researches, and now is heading for its maturity stage. In spatial data analysis and spatial statistics, various topics have been addressed for spatial point pattern data, areal data, geostatistical data, and spatial interaction data. In spatial optimization, modeling and applications related to facility location problems, districting problems, and routing problems have been mostly researched. Finally, in geosimulation, while most of research has focused on cellular automata, studies on agent-based model and simulation are in beginning stage. Among all these works, some have fostered methodological advances beyond simple applications of the standard techniques.

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A study on Locational and Regional Pattern of Leisure Facilities at Kangnam-gu, Seoul (서울시의 활동여가시설의 입지유형에 관한 연구 - 강남구를 중심으로 -)

  • Choi, Woun-Sik;Kim, Min
    • Journal of the Korean Regional Science Association
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    • v.10 no.2
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    • pp.17-29
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    • 1994
  • This study attempts to examine the regional distribution and the locational pattern of leisure facilities at Kangnam-gu in Seoul. For the convenience of the analysis the facilities are classified into public and private sector and then the facilities are classified into 11 types: mineral spring resort, play ground, neighborhood park, swimming pool, gymnasium, bowling, pingpong, aerobic, golf practice, health, and billiard facilities. For the purpose data was collected from statistical yearbook in 1993 and lists of registered facility at department of living physics of Kangnam-gu office. The data of the density of facilities and the opportunity of facilities per facilities type and per region are analysed with the technology of GIS. Results may be summarized as follows. First of all, correlation between the results of Location-Allocation model and the results of Interaction model is very high. Secondly, on comparing the density of facilities with the opportunity of the facility use per eleven facility types, three discrete spatial pattems are found. The mineral spring resort facility type with the highest unbalanced density and opportunity of facility use is to be found. Play ground, neighborhood park, swimming pool, gymnasium, bowling, pingpong, and aerobic facility types have the high unbalanced density and opportunity of facility use. The golf practice, health, and billiard facility types have spatially balanced density and opportunity of facility use. Thirdly, as comparing the density and the opportunity of the facility use per 'dong' administration unit, the spatial patterns of the public and the private facilities are different in density of the facility use and otherwise two are similar in the opportunity of the facility use. Fourthly, patterns of facilities users have different charateristics based on facility use time, expense, residence, and access time and four regional patterns are to be found ; user favorable, facility profitable, user balanced, and unfavorable.

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Mining Spatio-Temporal Patterns in Trajectory Data

  • Kang, Ju-Young;Yong, Hwan-Seung
    • Journal of Information Processing Systems
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    • v.6 no.4
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    • pp.521-536
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    • 2010
  • Spatio-temporal patterns extracted from historical trajectories of moving objects reveal important knowledge about movement behavior for high quality LBS services. Existing approaches transform trajectories into sequences of location symbols and derive frequent subsequences by applying conventional sequential pattern mining algorithms. However, spatio-temporal correlations may be lost due to the inappropriate approximations of spatial and temporal properties. In this paper, we address the problem of mining spatio-temporal patterns from trajectory data. The inefficient description of temporal information decreases the mining efficiency and the interpretability of the patterns. We provide a formal statement of efficient representation of spatio-temporal movements and propose a new approach to discover spatio-temporal patterns in trajectory data. The proposed method first finds meaningful spatio-temporal regions and extracts frequent spatio-temporal patterns based on a prefix-projection approach from the sequences of these regions. We experimentally analyze that the proposed method improves mining performance and derives more intuitive patterns.

A Comparison of Spatio-Temporal Variation Pattern of Sea Surface Temperature According to the Regional Scale in the South Sea of Korea (지역 규모에 따른 한국 남부해역 표층수온의 시·공간적 변동 패턴 비교)

  • Yoon, Dong-Young;Choi, Hyun-Woo
    • Journal of the Korean Association of Geographic Information Studies
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    • v.14 no.4
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    • pp.182-193
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    • 2011
  • In order to compare the spatio-temporal variation pattern of sea surface temperature (SST) in Korea's Southern areas of the sea according to a regional scale, this study has selected the winter and summer seasons for 31 years (1980~2010) in a period aspect and selected three areas of the sea such as the Western areas of the sea (region B) and Eastern areas of the sea (region C) around Jeju Island in addition to overall Southern areas of the sea (region A) in regional aspect. The regression analysis was applied to find out a temporal variation pattern of SST, and the weighted mean center (WMC) of SST as well as analysis of a standard deviational ellipse (SDE) was respectively applied. As a result of regression analysis of SST, it showed a rising long-term trend for all two seasons in three regions. However, though the average SST for 31 years was all similar in three regions in the summer season, the region C appeared more highly than region B in the winter season. The spatial variation pattern of SST for two seasons showed that it is respectively different from each other in three regions. The spatial variation pattern of SST appeared as E-W direction in region A, SE-NW direction in region B and SW-NE direction in region C. In addition, the relationship between the location of the WMC of SST and the average SST showed correlation in regions A and B in the winter season, whereas it appeared that there is no correlation in region C. Accordingly, it can be known that the regional scale should be considered in case of analysis of spatio-temporal variation patterns of SST.

A Study on Policy Trends and Location Pattern Changes in Smart Green-Related Industries (스마트그린 관련 산업의 정책동향과 입지패턴 변화 연구)

  • Young Sun Lee;Sun Bae Kim
    • Journal of the Economic Geographical Society of Korea
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    • v.27 no.1
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    • pp.38-52
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    • 2024
  • Digital transformation industry contributes to the improvement of productivity in overall industrial production, the smart green industry for carbon neutrality and sustainable growth is growing as a future industry. The purpose of this paper is to explore the status and role of the industry in the future industry innovation ecosystem through the analysis of the growth drivers and location pattern changes of the smart green industry. The industry is on the rise in both metropolitan and non-metropolitan areas, and the growth of the industry can be seen in non-metropolitan and non-urban areas. In particular, due to the smart green industrial complex pilot project, the creation of Gwangju Jeonnam Innovation City, and the promotion of new and renewable energy policies, the emergence of core aggregation areas (HH type) in the coastal areas of Honam and Chungcheongnam-do, and the formation of isolated centers (HL type) in the Gyeongsang region, new and renewable energy production companies are being accumulated in non-metropolitan areas. Therefore, the smart green industry is expected to promote the formation of various specialized spokes in non-urban areas in the future industrial innovation ecosystem that forms a multipolar hub-spoke network structure, where policy factors are the triggers for growth.