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    위치 정보와 연계된 사진 서비스를 이용한 중국의 경관자원 분포와 계절별 선호도 분석 = Analysis of Landscape Resources Distribution and Seasonal Affinity using Geotagged Panoramio Photo Collections in China

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    https://www.riss.kr/link?id=A100154802

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This study evaluated the geographical landscape of China using the Panoramio geotagged photos that contains the location and time information. I extracted meaningful information from Panoramio data, which were built with voluntary participation of many users in a Web 2.0 environment. As a result, the method used in this study was useful to overcome the lack of data for GIS analysis. I could found the tendency of information diffusion and the distribution status of representative landscape resources in China, using GIS(Geographic Information Systems) with spatio-temporal data analysis. In this study was able to analyze the trend of monthly Chinese people`s movement and was able to analyze the Chinese people`s preferred region on a seasonal basis.
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    This study evaluated the geographical landscape of China using the Panoramio geotagged photos that contains the location and time information. I extracted meaningful information from Panoramio data, which were built with voluntary participation of man...

    This study evaluated the geographical landscape of China using the Panoramio geotagged photos that contains the location and time information. I extracted meaningful information from Panoramio data, which were built with voluntary participation of many users in a Web 2.0 environment. As a result, the method used in this study was useful to overcome the lack of data for GIS analysis. I could found the tendency of information diffusion and the distribution status of representative landscape resources in China, using GIS(Geographic Information Systems) with spatio-temporal data analysis. In this study was able to analyze the trend of monthly Chinese people`s movement and was able to analyze the Chinese people`s preferred region on a seasonal basis.

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    참고문헌 (Reference)

    1 배선학, "웹 2.0 기반의 지리정보를 활용한 경관자원 평가-구글어스를 사례로-" 한국사진지리학회 20 (20): 1-12, 2010

    2 배선학, "구글 파노라미오(Panoramio) 사진의 위치정보를 이용한 경관자원 평가" 한국지형학회 18 (18): 11-20, 2011

    3 Antoniou, V., "Web 2.0 geotagged photos: Assessing the spatial dimension of the phenomenon, Geomatica" 64 (64): 99-110, 2010

    4 Hochmair, H., "Positional Accuracy of Flickr and Panoramio Images in Europe, Geospatial Crossroads@ GI Forum’12" 14-23, 2012

    5 Ji, R., "Mining flickr landmarks by modeling reconstruction sparsity, ACM Transactions on Multimedia Computing" 7S (7S): 1-22, 2011

    6 Zheng, Y., "Mining Travel Patterns from Geotagged Photos" 3 (3): 1-18, 2012

    7 Jiang, K., "Learning from contextual information of geo-tagged web photos to rank personalized tourism attractions" 119 : 17-25, 2013

    8 Peca, I., "KD-photomap: Exploring photographs in space and time" 291-292, 2011

    9 Kisilevich, S., "Event-based analysis of people’s activities and behavior using Flickr and Panoramio geotagged photo collections, Information Visualisation (IV)" 289-296, 2010

    10 Yanai, K., "Detecting cultural differences using consumer-generated geotagged photos" 12-, 2009

    1 배선학, "웹 2.0 기반의 지리정보를 활용한 경관자원 평가-구글어스를 사례로-" 한국사진지리학회 20 (20): 1-12, 2010

    2 배선학, "구글 파노라미오(Panoramio) 사진의 위치정보를 이용한 경관자원 평가" 한국지형학회 18 (18): 11-20, 2011

    3 Antoniou, V., "Web 2.0 geotagged photos: Assessing the spatial dimension of the phenomenon, Geomatica" 64 (64): 99-110, 2010

    4 Hochmair, H., "Positional Accuracy of Flickr and Panoramio Images in Europe, Geospatial Crossroads@ GI Forum’12" 14-23, 2012

    5 Ji, R., "Mining flickr landmarks by modeling reconstruction sparsity, ACM Transactions on Multimedia Computing" 7S (7S): 1-22, 2011

    6 Zheng, Y., "Mining Travel Patterns from Geotagged Photos" 3 (3): 1-18, 2012

    7 Jiang, K., "Learning from contextual information of geo-tagged web photos to rank personalized tourism attractions" 119 : 17-25, 2013

    8 Peca, I., "KD-photomap: Exploring photographs in space and time" 291-292, 2011

    9 Kisilevich, S., "Event-based analysis of people’s activities and behavior using Flickr and Panoramio geotagged photo collections, Information Visualisation (IV)" 289-296, 2010

    10 Yanai, K., "Detecting cultural differences using consumer-generated geotagged photos" 12-, 2009

    11 Van Laere, O., "Combining multi-resolution evidence for georeferencing Flickr images, Scalable Uncertainty Management" Springer 347-360, 2010

    12 Mamei, M., "Automatic Analysis of Geotagged Photos for Intelligent Tourist Services" 146-151, 2010

    13 Majid, A., "A context-aware personalized travel recommendation system based on geotagged social media data mining" 27 (27): 662-684, 2013

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2022 평가 재인증평가 신청대상 (재인증)
    2019-01-01 등재 등재학술지 유지 (계속평가) KCI등재
    2016-01-01 등재 등재학술지 유지 (계속평가) KCI등재
    2012-01-01 등재 등재 1차 FAIL (등재유지) KCI등재
    2009-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2008-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2006-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 1.09 1.09 1.02
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.92 0.89 1.343 0.07
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