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Big Geospatial Data and Data Science

ISSN 2523-9007

Aims & Scope

The journal promotes and expedites the dissemination of new research results.There is an exciting and large volume of research activity in the field worldwide.The goal of this journal is to provide a platform for academicians and scientists all over the world to share, promote, and discuss various new issues and developments in different areas of big geospatial data and data science.

All manuscripts must be prepared in English and are subject to a rigorous and fair peer-review process. Generally, accepted papers will appear online within 3 weeks followed by printed hard copy. The journal publishes original papers including but not limited to the following fields:

Geospatial big data management - curation, discovery and access
Big data analytics - methods, tools, and best practices
Web and Cloud-based processing of geospatial big data - standards, interoperability, geospatial workflows, and provenance
Hyper-dimensional geospatial data visualization - methods, tools, and applications
Social aspects of geospatial big data - collaboration, crowdsourcing, and volunteer geographic information
Directions and trends of geospatial big data science - AI, cognitive computing and beyond
Geospatial big data applications - agriculture, natural resources, disasters, and environment

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