Special Issue "Spatial Databases: Design, Management, and Knowledge Discovery"
A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).
Deadline for manuscript submissions: closed (31 May 2020) | Viewed by 10121
Interests: spatial data science; geographic information systems; data mining and machine learning; spatial index structures and efficient algorithms; uncertain data; geospatial simulation; location-based social networks
Special Issues, Collections and Topics in MDPI journals
The recent explosion in the amount of spatial data calls for specialized systems to manage, search, and mine very large sets of spatial and spatio-temporal data.
This data explosion is facilitated by the vast proliferation of devices such as smartphones, traffic cameras, space telescopes, and Earth observation satellites. For example, NASA’s Earth Observing System Data and Information System (EOSDIS) adds more than 6 TB of data to its archives every day and makes it available to scientists and researchers around the world. As another example, millions of geo-tagged tweets become available on the Twitter API every day.
To handle this data deluge, specialized systems are required to store this data, to make this data actionable for knowledge extraction, and to develop data-driven geo-information systems.
This Special Issue is dedicated to giving an overview of state-of-the-art spatial and spatio-temporal data management, as well as to exploring future trends of concepts, methods, implementations, validations, and applications. We call for original papers from researchers around the world that focus on topics including, but not limited to, the following:
- Big Spatial Data
- Computational Geometry
- Crowdsourcing Spatial Data
- Distributed and Parallel Algorithms
- Earth Observation Data Management
- Efficient Algorithms for GIS
- Geographic Information Systems
- Geospatial Information Retrieval
- Indoor Space
- Moving Objects Databases
- Parallel and Distributed Spatial Databases
- Privacy, Security, and Integrity in Spatial Databases
- Real Applications and Systems
- Recommendation Systems
- Spatial and Spatio-Temporal Data Acquisition
- Spatial Data Mining and Knowledge Discovery
- Spatial Database Design
- Spatial (Road) Networks
- Sensor Networks
- Similarity Searching
- Spatial Access Methods and Indexing
- Spatial Data Streams
- Spatial Database Design and Conceptual Modeling
- Spatio-Temporal and Temporal Databases
- Uncertain, Imprecise, and Probabilistic Data
- Urban Analytics and Mobility
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 1400 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.
- spatial databases
- spatio-temporal data
- big spatial data
- data management
- spatial data mining
- spatial data science
- geographic information systems
- earth observation data
- social media data