Spatio-Temporal and Constraint Databases
A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).
Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 6822
Special Issue Editors
Interests: constraint databases; spatial and spatiotemporal databases; GIS; spatiotemporal data analysis; computational algebraic geometry
Special Issues, Collections and Topics in MDPI journals
Interests: databases; computational linguistics; bioinformatics; geoinformatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
During the last three decades, the topic of constraint databases has evolved into a mature area of computer science with sound mathematical foundations and with a profound theoretical understanding of the expressive power of a variety of query languages. Constraint databases are especially suited for applications in which possibly infinite sets of continuous data, which have a geometric interpretation, need to be stored in a computer. Today, the most important application domains of constraint databases are geographic information systems (GIS), spatial databases, and spatiotemporal databases. In these applications, infinite geometrical sets of continuous data are finitely represented by means of finite combinations of polynomial equality and inequality constraints that describe these data sets (in mathematical terms, these geometrical data sets are known as semi-algebraic sets, and they have been extensively studied in real algebraic geometry). On the other hand, constraint databases provide us with a new view on classic (linear and non-linear) optimization theory.
For this Special Issue, we encourage authors to address the topic of spatiotemporal data from either a theoretical or an applications perspective. We especially welcome papers that use spatiotemporal data in the context of constraint databases.
Topics include but are not limited to:
- Spatiotemporal data and databases;
- Trajectory data and databases;
- Uncertainty in spatiotemporal data;
- Query evaluation techniques;
- Query optimization;
- Linear constraint spatiotemporal data;
- Non-linear constraint spatiotemporal data;
- Constraints-based data visualization;
- Data mining spatiotemporal data.
Prof. Dr. Bart Kuijpers
Prof. Dr. Peter Revesz
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. ISPRS International Journal of Geo-Information is an international peer-reviewed open access monthly 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 1900 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.
Keywords
- Constraint databases
- Spatial databases
- Spatiotemporal databases
- GIS
- Spatiotemporal data analysis
- Computational algebraic geometry
- Query languages
- Logical query languages
- Query evaluation and optimization
- Data mining
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