Table of Contents
ISPRS Int. J. Geo-Inf., Volume 7, Issue 5 (May 2018)
- Issues are regarded as officially published after their release is announced to the table of contents alert mailing list.
- You may sign up for e-mail alerts to receive table of contents of newly released issues.
- PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Cover Story (view full-size image) Deriving generalizable methodological recommendations for machine learning methods that incorporate [...] Read more. Deriving generalizable methodological recommendations for machine learning methods that incorporate contextual data in order to predict the next places that people will travel to is often difficult, since they use different datasets, methods for discretizing space, scales of prediction, algorithms, and context data, and therefore lack comparability. This work predicts next places based on a single trajectory dataset, but by systematically varying prediction algorithms, methods for space discretization, scales of prediction, and incorporated context data. We found that the prediction accuracy showed a varying dependency on the method of space discretization and the incorporated contextual factors at different spatial scales. Our study thus aims to provide insights into the individual and combinatory effects of model parameters and algorithms on the next place prediction accuracy. View the paper here.