Spatio-Temporal Mobility Data

Dear Colleagues,

We live in an era where spatio-temporal data are more available than ever before. These data can be collected by different sources, such as camera pics, satellite images, GPS tracking, sensors or loop detectors, and other means. In recent years, researchers have developed several methods, models, and theories to properly maintain, analyze, and extract knowledge and information from such valuable spatio-temporal data. These efforts are not only limited to the applications of spatio-temporal data, but they go beyond organizing the data to extract, filter, transform, and store. In addition, GIS tools make it possible to analyze and provide knowledge to users efficiently. Therefore, utilizing such data can play an essential part in many aspects of daily life.

We are excited to invite you to submit your research to a Special Issue of Earth journal on the topic of “Spatio-Temporal Mobility Data”. This Special Issue aims to utilize the availability of different types of spatio-temporal mobility data and provide methods, techniques, and applications to deal with the challenges that are posed by these types of data. Furthermore, these data can provide knowledge to the end-users, as well as create new services that contribute towards enhancing the quality of life.

Topics of interest include, but are not limited to:

• Methods for collecting, storing, validating, and pre-processing of spatio-temporal data.
• Data fusion techniques for spatio-temporal data from different sources.
• Spatio-temporal data to capture indoor mobility.
• Spatio-temporal data rules in autonomous vehicle applications.
• Spatio-temporal visualization techniques.
• Generating, matching, comparing, and correcting maps using spatio-temporal data.
• Survey papers of methods for storing and analyzing spatio-temporal data.
• Utilizing spatio-temporal data for managing COVID-19.
• Traffic prediction using different spatio-temporal data sources.
• Deep learning approaches to manage and utilize spatio-temporal data.
• Disaster management utilizing spatio-temporal data.
• Deep learning methods to generate new services using spatio-temporal data.
• Applications for managing and analyzing trajectory data.
• Other applications that utilize spatio-temporal data.

The Special Issue “Spatio-Temporal Mobility Data” is jointly organized between “Remote Sensing” and “Earth” journals. Contributors are required to check the website below and follow the specific instructions for authors:
https://www.mdpi.com/journal/remotesensing/instructions
https://www.mdpi.com/journal/earth/instructions

The other special issue could be found at: https://www.mdpi.com/journal/remotesensing/special_issues/spatio_temoral_data.

Prof. Dr. Ramez A. Elmasri
Dr. Mousa Alhajlah
Dr. Tariq Alsahfi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Earth is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• spatio-temporal data analysis
• data fusion
• spatio-temporal visualization
• GIS data
• trajectory data storage and analysis
• map analysis and map databases
• applications of deep learning to spatio-temporal data