Quantifying scenic areas using crowdsourced data

scholarly article published 23 January 2017

Quantifying scenic areas using crowdsourced data is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1177/0265813516687302

P50authorTobias PreisQ7811656
Helen Susannah MoatQ57414185
Chanuki Illushka SeresinheQ58584277
P2860cites workAn Introduction to Statistical LearningQ21473973
Computational social scienceQ24653303
The structure of spatial networks and communities in bicycle sharing systemsQ27306677
Quantifying the link between art and property prices in urban neighbourhoodsQ28603432
Quantifying the Impact of Scenic Environments on HealthQ28607090
Quantifying crowd size with mobile phone and Twitter dataQ28646116
Quantifying the digital traces of Hurricane Sandy on FlickrQ28661772
Citizens as sensors: the world of volunteered geographyQ29395081
Analyzing the Contributor Activity of a Volunteered Geographic Information Project — The Case of OpenStreetMapQ30052113
Would you be happier living in a greener urban area? A fixed-effects analysis of panel dataQ30619669
Using big data to predict collective behavior in the real worldQ30765251
Ensuring the data-rich future of the social sciencesQ33817893
Spatial covariance between aesthetic value & other ecosystem servicesQ34808823
Effect of exposure to natural environment on health inequalities: an observational population studyQ34875745
Predicting the behavior of techno-social systemsQ34993803
Neighborhood greenspace and health in a large urban centerQ35834866
Increasing walking: how important is distance to, attractiveness, and size of public open space?Q36032195
Green space, urbanity, and health: how strong is the relation?Q36933846
Greenspace, urbanity and health: relationships in EnglandQ37121354
Using social media to quantify nature-based tourism and recreationQ37232929
Green space as a buffer between stressful life events and healthQ48882622
Associations between recreational walking and attractiveness, size, and proximity of neighborhood open spaces.Q53464344
Association of park size, distance, and features with physical activity in neighborhood parks.Q53537159
How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey DatasetsQ55835881
Bayesian image restoration, with two applications in spatial statisticsQ56559498
Web Mapping 2.0: The Neogeography of the GeoWebQ57538245
Is Green Space in the Living Environment Associated with People's Feelings of Social Safety?Q58078822
Natural Environments—Healthy Environments? An Exploratory Analysis of the Relationship between Greenspace and HealthQ58078975
P433issue3
P921main subjectCrowdsourced DataQ124857497
P304page(s)567-582
P577publication date2017-01-23
P1476titleQuantifying scenic areas using crowdsourced data
P478volume45

Reverse relations

cites work (P2860)
Q104731086Defining and spatially modelling cultural ecosystem services using crowdsourced data
Q38632987Using deep learning to quantify the beauty of outdoor places

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