Volunteered geographic information research in the first decade: a narrative review of selected journal articles in GIScience
More than 10 years have passed since the coining of the term volunteered geographic
information (VGI) in 2007. This article presents the results of a review of the literature …
information (VGI) in 2007. This article presents the results of a review of the literature …
An overview of microblog user geolocation methods
X Luo, Y Qiao, C Li, J Ma, Y Liu - Information processing & management, 2020 - Elsevier
Geographical locations of microblog users are essential for user profiling, event localization
and target advertising, to name a few. Automatic identification of user locations from the …
and target advertising, to name a few. Automatic identification of user locations from the …
Using social media to estimate visitor provenance and patterns of recreation in Germany's national parks
Social media data are increasingly utilised as a low-cost alternative to visitor surveys in
characterising nature-based recreation. However, the information available on individual …
characterising nature-based recreation. However, the information available on individual …
[HTML][HTML] From Twitter to traffic predictor: Next-day morning traffic prediction using social media data
The effectiveness of traditional traffic prediction methods, such as autoregressive or spatio-
temporal models, is often extremely limited when forecasting traffic dynamics in early …
temporal models, is often extremely limited when forecasting traffic dynamics in early …
Beyond spatial proximity—classifying parks and their visitors in London based on spatiotemporal and sentiment analysis of Twitter data
Parks are essential public places and play a central role in urban livability. However,
traditional methods of investigating their attractiveness, such as questionnaires and in situ …
traditional methods of investigating their attractiveness, such as questionnaires and in situ …
Identifying home locations in human mobility data: an open-source R package for comparison and reproducibility
Q Chen, A Poorthuis - International Journal of Geographical …, 2021 - Taylor & Francis
Identifying meaningful locations, such as home or work, from human mobility data has
become an increasingly common prerequisite for geographic research. Although location …
become an increasingly common prerequisite for geographic research. Although location …
Exploring the uncertainty of activity zone detection using digital footprints with multi-scaled DBSCAN
The density-based spatial clustering of applications with noise (DBSCAN) method is often
used to identify individual activity clusters (ie, zones) using digital footprints captured from …
used to identify individual activity clusters (ie, zones) using digital footprints captured from …
Exploration of OpenStreetMap missing built-up areas using twitter hierarchical clustering and deep learning in Mozambique
Accurate and detailed geographical information digitizing human activity patterns plays an
essential role in response to natural disasters. Volunteered geographical information, in …
essential role in response to natural disasters. Volunteered geographical information, in …
Private, public, personal: Shifting patterns in geospatial data sources in geographic research
G Appiah, M Kaufman, B Cooney… - Annals of the American …, 2024 - Taylor & Francis
Geospatial data sources include data collected by the public sector (ie, government), private
sector (ie, industry), or through field work. Of these categories, the private sector, especially …
sector (ie, industry), or through field work. Of these categories, the private sector, especially …
Please forget where I was last summer: The privacy risks of public location (meta) data
The exposure of location data constitutes a significant privacy risk to users as it can lead to
de-anonymization, the inference of sensitive information, and even physical threats. In this …
de-anonymization, the inference of sensitive information, and even physical threats. In this …