Spatial Data Science and Knowledge Discovery
A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).
Deadline for manuscript submissions: 31 December 2025
Special Issue Editors
Interests: spatial data infrastructure (SDI); land administration; cadastre; IoT; citizen science; mixed method research; land use policy; catchment management; health informatics
Special Issues, Collections and Topics in MDPI journals
Interests: Map Generalization and Scale Transformation; Map Design and Spatial Information Visualization; Spatial Analysis and Big Data Mining; Geographic Information Engineering and Smart Services
Interests: geocomputation; spatial statistics; geographically weighted (GW) modelling; spatio-temporal big data analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Spatial data science and knowledge discovery have emerged as pivotal fields in addressing complex challenges related to urbanization, environmental sustainability, and resource management. The integration of advanced geospatial technologies, artificial intelligence, and big data analytics has revolutionized our ability to extract actionable insights from spatial datasets.
This Special Issue aims to showcase cutting-edge research that bridges theoretical innovation with practical applications, fostering interdisciplinary collaboration to advance spatial data science methodologies and their real-world impact. This Special Issue seeks to highlight transformative research that addresses global challenges through spatial data science. By combining geospatial analysis with emerging technologies such as AI, IoT, and cloud computing, we aim to advance methodologies that improve living spaces, inform policy, and promote sustainable development. Submissions may include original research, reviews, and interdisciplinary studies that align with the themes.
We invite contributions that explore novel approaches, tools, and case studies in spatial data science and knowledge discovery. Topics of interest include, but are not limited to, the following:
- Spatial Data Mining and Machine Learning: Development of algorithms for pattern recognition, clustering, and predictive modeling in geospatial contexts.
- Spatial Heterogeneity and Drivers: Analysis of regional disparities, spatiotemporal dynamics, and driving mechanisms using spatial autocorrelation, geographically weighted regression (GWR), or mixed GWR (MGWR) techniques.
- 3D Modeling and Digital Twins: Innovations in 3D spatial modeling, urban digital twins, and their applications in smart cities and cultural heritage preservation.
- Geospatial Knowledge Graphs: Integration of domain knowledge with spatial data for enhanced decision-making in environmental and urban planning.
- Spatial Sampling and Inference: Methodological advances in spatial statistics, uncertainty modeling, and scalable solutions for large datasets.
- Applications in Sustainability: Case studies on land-use optimization, non-grain cultivation dynamics, climate resilience, and public health.
We look forward to your submissions.
Dr. Dev Raj Paudyal
Prof. Dr. Jingzhong Li
Dr. Binbin Lu
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
- spatial data science
- geospatial AI
- knowledge discovery
- 3D modeling
- smart cities
- sustainability
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