Intelligent Information Systems for Geospatial Data: AI-Driven Methods and Applications

Dear Colleagues,

The rapid advancement of artificial intelligence and data science methodologies is transforming how we process, analyze, and leverage geospatial information systems to address complex challenges. This Special Issue of Information seeks cutting-edge research focused on novel computational frameworks, intelligent algorithms, and information system architectures designed specifically for geospatial data processing and analytics.

We welcome submissions that advance the theoretical foundations and practical implementations of intelligent information systems in the geospatial domain. This includes (but is not limited to) the following: machine learning and deep learning approaches for spatial data mining; big Earth data management systems; knowledge representation for geospatial ontologies; distributed computing frameworks for spatiotemporal analytics; the semantic integration of heterogeneous geodata sources; and human–computer interaction paradigms for geovisualization.

Papers should primarily emphasize computational innovations, system architectures, data processing methodologies, and algorithmic advances with clear technical contributions to the field of information systems. Interdisciplinary studies that demonstrate how intelligent information systems can effectively process and extract knowledge from complex geospatial data are particularly encouraged. Applications to domains such as natural resource evaluation, urban planning, disaster response, or public health should primarily serve to validate the proposed information systems and computational methods.

Topics of interest include (but are not limited to) the following:

• AI-driven geospatial analytics and decision-making;
• Spatiotemporal modeling for disaster risk mitigation;
• Remote sensing innovations for environmental monitoring;
• Sustainable urban planning using big Earth data;
• Geospatial approaches to biodiversity conservation and ecosystem services;
• Health geography and spatial epidemiology;
• Resource management and circular economy applications;
• Open-source tools and frameworks for geospatial intelligence.

Dr. Yi Huang
Dr. Shaohua Lei
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 250 words) can be sent to the Editorial Office for assessment.

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. 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 1800 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.