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Extracting and understanding urban areas of interest using geotagged photos · Study

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Extracting and understanding urban areas of interest using geotagged photos

Yingjie Hu, Song Gao, Krzysztof Janowicz, Bailang Yu, Wenwen Li, Sathya Prasad

2015-09-25articleComputers Environment and Urban Systems310 citationsclosed

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Human Mobility and Location-Based Analysis Geographic Information Systems Studies Urban Design and Spatial Analysis

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References

2007Citizens as sensors: the world of volunteered geography

2008OpenStreetMap: User-Generated Street Maps

2007The wisdom hierarchy: representations of the DIKW hierarchy

2010How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets

2009Social Media Use in the United States: Implications for Health Communication

2009Mapping the world's photos

2021Exploring Millions of Footprints in Location Sharing Services

2012Crowdsourcing Geographic Knowledge

Cited by

2018Social Media data: Challenges, opportunities and limitations in urban studies

2019Discovering the tourists' behaviors and perceptions in a tourism destination by analyzing photos' visual content with a computer deep learning model: The case of Beijing

2018Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs

2019Identifying urban spatial structure and urban vibrancy in highly dense cities using georeferenced social media data

2016Delineation of an urban agglomeration boundary based on Sina Weibo microblog ‘check-in’ data: A case study of the Yangtze River Delta

2020Visualizing and exploring POI configurations of urban regions on POI-type semantic space

2020Volunteered geographic information research in the first decade: a narrative review of selected journal articles in GIScience

2017Depicting urban boundaries from a mobility network of spatial interactions: a case study of Great Britain with geo-located Twitter data

Details

Year2015

Typearticle

VenueComputers Environment and Urban Systems

Languageen

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Identifiers

doi10.1016/j.compenvurbsys.2015.09.001

openalex_workW1764053936

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