Replication data for: Quantifying tourism booms and the increasing footprint in the Arctic with social media datadoi:10.18710/QEOFPYDataverseNO2020-02-061Runge, Claire A.; Daigle, Remi M.; Hausner, Vera H., 2020, "Replication data for: Quantifying tourism booms and the increasing footprint in the Arctic with social media data", https://doi.org/10.18710/QEOFPY, DataverseNO, V1, UNF:6:czqP04pzsqnMiDPqDgKLpg== [fileUNF]Replication data for: Quantifying tourism booms and the increasing footprint in the Arctic with social media datadoi:10.18710/QEOFPYRunge, Claire A.Daigle, Remi M.Hausner, Vera H.UiT The Arctic University of NorwayRConnectedCONNECT247474DataverseNOUiT The Arctic University of NorwayRunge, Claire A.Runge, Claire Alice2019-03-22Earth and Environmental SciencesSocial SciencesArctictourismtourism managementtrend analysisFlickrgeographysocial mediapassive crowdsourcingspatiotemporal trendsenvironmental impactsArctic tourism has rapidly increased in the past two decades. We used social media data to examine localized tourism booms and quantify the spatial expansion of the Arctic tourism footprint. We extracted geotagged locations from over 800,000 photos on Flickr and mapped these across space and time. We critically examine the use of social media as a data source in data-poor regions, and find that while social media data is not suitable as an early warning system of tourism growth in less visited parts of the world, it can be used to map changes at large spatial scales. Our results show that the footprint of summer tourism quadrupled and winter tourism increased by over 600% between 2006 and 2016, although large areas of the Arctic remain untouched by tourism. This rapid increase in the tourism footprint raises concerns about the impacts and sustainability of tourism on Arctic ecosystems and communities. This boom is set to continue, as new parts of the Arctic are being opened to tourism by melting sea ice, new airports and continued promotion of the Arctic as a ‘last chance to see’ destination. Arctic societies face complex decisions about whether this ongoing growth is socially and environmentally sustainable.2004-01-012017-12-312017-12-042018-05-07NorwayFinlandIcelandFaroe IslandsRussian FederationGreenlandSvalbard and Jan MayenCanadaUnited StatesAlaska180-1806090Datasets derived from geospatially tagged photographsplease see manuscript for full description of methods.https://www.flickr.comhttps://www.flickr.com/services/api/<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>Runge CA, Daigle RM, Hausner VH. 2020. Quantifying tourism booms and the increasing footprint in the Arctic with social media data. PLOS ONE 15:e0227189.10.1371/journal.pone.0227189Runge CA, Daigle RM, Hausner VH. 2020. Quantifying tourism booms and the increasing footprint in the Arctic with social media data. PLOS ONE 15:e0227189.Arctic_Flickr_footprint_byyearseason.tab847text/tab-separated-valuesUNF:6:KBnYvwOlStVgdrbYH3B9Ig==Data on the footprint of Arctic tourism in the Arctic between 2004 and 2017, as estimated from Flickr photo uploads (see manuscript for details).Arctic_Flickr_nphotos_byyearseason.tab287text/tab-separated-valuesUNF:6:38kZzr3tTR4dOUV5Fgz+bQ==Data on the number of photos contributed to Flickr globally and in the Arctic between 2004 and 2017. yearseasonUNF:6:Jtnp/lg+DtBjSyeSHESheg==year2010.52004.0.0.02010.54.055340076063922017.084.0UNF:6:6RV0/+mneSDKH8vPJ8NlCg==seasonUNF:6:qWCa8VIVYe3WyZ2Owtl/Og==typeUNF:6:mMTK08Sl3t1rl06rTjepwA==sample_size1118.0.4807.01222.821428571428456.0241.01117.26565746497828.0UNF:6:7Tdc+COpISeNUflKj90dVQ==footprint6.887109487737075E-43.5818057176949096E-484.03.65709893097979E-5.8.721813547756617E-40.00.00384855881618991UNF:6:EsPMk34ZTu/SPR6jEaErag==footprint_percent84.00.00.384855881618991.0.03581805717694910.003657098930979790.068871094877370750.08721813547756617UNF:6:keBGaK1btB6/9Ana1Yub7g==yearseasonUNF:6:OZpXLVv+fpfiU7+mZ/wlLw==year2010.528.02010.50.04.10510071153581452017.02004.0.UNF:6:LDqwxGoNgLGmQOukBNZoJg==seasonUNF:6:vdwRZ/kGWG///mePOFM5Sw==Total Flickr Photos2.31337858E81.407351822142857E81.578452165E80.0.28.07827070.06.668535161780985E7UNF:6:QFpYLXxyZpOeV+Vv8jeuZA==Arctic photos28588.53571428571423044.525615.01043511928628.0.0.081980.0287.0UNF:6:95L84OUhXeA7hPs6XXyauA==Global increase16.2952313492249528.0.14.4887888085011661.00.06.81848935220665623.0901279789244UNF:6:6uLNk01Z+oQMaFS8X9ehgQ==Percent Traffic0.01.6510638053649526E-44.02021234086809E-43.08385811803383E-5.1.3749064601103E-41.0786397099223014E-428.0UNF:6:y8T2kN2K8ciG4GJ6lM5xhw==00_Readme.txtContains descriptions of data files and column headerstext/plainFlickr_density_mapping.rR script to create rasters of Flickr PUD across the Arctictype/x-r-syntaxFlickr_photos_per_year.RR script to download global stats on number of photos submitted to Flickrtype/x-r-syntaxFlickr_PUDper100kmcell_summer.tifRaster of tourism intensity in Arctic summer at 100km resolutionimage/tiffFlickr_PUDper100kmcell_winter.tifRaster of tourism intensity in Arctic winter at 100km resolutionimage/tiffFlickr_PUDper10kmcell_summer.tifRaster of tourism intensity in Arctic summer at 10km resolutionimage/tiffFlickr_PUDper10kmcell_winter.tifRaster of tourism intensity in Arctic winter at 10km resolutionimage/tiffFlickr_spatialoverlaps_for_gams.rR script to create hexagonal grids, spatial overlap grid with accessibility and protected area shapefiles to estimate coverage in each grid cell. Spatial overlap of each grid cell with Flickr data. type/x-r-syntaxGAM_footprint.rR script to calculate Arctic tourism footprint and make tables & figures for manuscript. type/x-r-syntaxGAM_models.rR script to make GAM models of accessibility vs presence/absence of tourists and make tables & figures for manuscript.type/x-r-syntaxGAM_model_input.RR script to calculate PUD (photo-unit-days) in each grid cell. type/x-r-syntaxraw_data_download.rR script to download Flickr data for the Arctictype/x-r-syntax