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Spatial Science Commons

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Full-Text Articles in Spatial Science

Analysis Of Flickr, Snapchat, And Twitter Use For The Modeling Of Visitor Activity In Florida State Parks, Hartwig H. Hochmair, Levente Juhasz Sep 2019

Analysis Of Flickr, Snapchat, And Twitter Use For The Modeling Of Visitor Activity In Florida State Parks, Hartwig H. Hochmair, Levente Juhasz

Levente Juhasz

Spatio-temporal information attached to social media posts allows analysts to study human activity and travel behavior. This study analyzes contribution patterns to the Flickr, Snapchat, and Twitter platforms in over 100 state parks in Central and Northern Florida. The first part of the study correlates monthly visitor count data with the number of Flickr images, snaps, or tweets, contributed within the park areas. It provides insight into the suitability of these different social media platforms to be used as a proxy for the prediction of visitor numbers in state parks. The second part of the study analyzes the spatial distribution …


Comparing The Spatial And Temporal Activity Patterns Between Snapchat, Twitter And Flickr In Florida, Levente Juhasz, Hartwig H. Hochmair Sep 2019

Comparing The Spatial And Temporal Activity Patterns Between Snapchat, Twitter And Flickr In Florida, Levente Juhasz, Hartwig H. Hochmair

Levente Juhasz

Social media services generate enormous amounts of spatiotemporal data that can be used to characterize and analyse user activities and social behaviour. Although crowdsourced data have the advantage of comprehensive spatial and temporal coverage compared to data collected in more traditional ways, the various social media platforms target different user groups, which leads to user selection bias. Since data from social media platforms are used for a variety of geospatial applications, understanding such differences and their implications for analysis results is important for geoscientists. Therefore, this research analyses differences in spatial and temporal contribution patterns to three online platforms, namely …


Comparing The Spatial And Temporal Activity Patterns Between Snapchat, Twitter And Flickr In Florida, Levente Juhasz, Hartwig H. Hochmair Jun 2019

Comparing The Spatial And Temporal Activity Patterns Between Snapchat, Twitter And Flickr In Florida, Levente Juhasz, Hartwig H. Hochmair

GIS Center

Social media services generate enormous amounts of spatiotemporal data that can be used to characterize and analyse user activities and social behaviour. Although crowdsourced data have the advantage of comprehensive spatial and temporal coverage compared to data collected in more traditional ways, the various social media platforms target different user groups, which leads to user selection bias. Since data from social media platforms are used for a variety of geospatial applications, understanding such differences and their implications for analysis results is important for geoscientists. Therefore, this research analyses differences in spatial and temporal contribution patterns to three online platforms, namely …


Analysis Of Flickr, Snapchat, And Twitter Use For The Modeling Of Visitor Activity In Florida State Parks, Hartwig H. Hochmair, Levente Juhasz Jun 2019

Analysis Of Flickr, Snapchat, And Twitter Use For The Modeling Of Visitor Activity In Florida State Parks, Hartwig H. Hochmair, Levente Juhasz

GIS Center

Spatio-temporal information attached to social media posts allows analysts to study human activity and travel behavior. This study analyzes contribution patterns to the Flickr, Snapchat, and Twitter platforms in over 100 state parks in Central and Northern Florida. The first part of the study correlates monthly visitor count data with the number of Flickr images, snaps, or tweets, contributed within the park areas. It provides insight into the suitability of these different social media platforms to be used as a proxy for the prediction of visitor numbers in state parks. The second part of the study analyzes the spatial distribution …


Introduction: Spatial Big Data And Everyday Life, Agnieszka Leszczynski, Jeremy Crampton Sep 2016

Introduction: Spatial Big Data And Everyday Life, Agnieszka Leszczynski, Jeremy Crampton

Geography Faculty Publications

Spatial Big Data—be this natively geocoded content, geographical metadata, or data that itself refers to spaces and places—has become a pervasive presence in the spaces and practices of everyday life. Beyond preoccupations with “the geotag” and with mapping geocoded social media content, this special theme explores what it means to encounter and experience spatial Big Data as a quotidian phenomenon that is both spatial, characterized by and enacting of material spatialities, and spatializing, configuring relations between subjects, objects, and spaces in new and unprecedented ways.