Trends of Big data, crowdsource and Artificial Intelligence in geo-information sciences: Experiences and Challenges

  E-mail   Print

Guest Editor
Prof. Ali Mansourian
Lund University, Sweden
Email: ali.mansourian@nateko.lu.se

Manuscript Topics
Geo-information science has a trend on increasing the interest on Big data, user generated and crowd sourced data as well as the use of Artificial Intelligence techniques in spatial modelling, simulation and analysis. A review of recent studies on the above mentioned areas shows that there are differences in a way Big Geodata are conceptualized and their management is understood. Similarly, geo-tagged crowdsources data and Volunteered Geographic Information (VGI), their applications, uncertainties, and reliability as well as techniques for enriching them and their role in enriching authority geodata are discussed and there are different opinions on these. Application of AI techniques for spatial modelling, simulation and analysis has come into consideration, further, with more possibilities on handling complex analysis using high performance computing techniques.

This special issue aims to gather and publish original and/or applied research articles relevant to the trend, mentioned above, in geospatial information science with the aim of sharing experiences and challenges. Also demonstrating different perspectives and introducing the techniques and ideas are the aims.

Paper submission
 All manuscripts will be peer-reviewed before their acceptance for publication.
The deadline for manuscript submission is 15th October 2018

Instructions for authors
http://www.aimspress.com/news/115.html
Please submit your manuscript to online submission system
http://oeps.aimspress.com/aimsgeo/ch/author/login.aspx

Open Access Journals
Blog:
More
Open Access Journals