Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Geospatial data mining techniques and applications
- Machine learning for spatial data analysis
- Spatial clustering methods in data mining
- Geospatial big data challenges and solutions
- GIS applications in predictive modeling
- Data mining for environmental monitoring
- Spatial data visualization and interpretation
- Machine learning algorithms for geospatial data
- GIS in urban analytics and planning
- Geospatial data integration and fusion techniques
- Applications of AI in geospatial analysis
- Spatial regression models in data mining
- Geospatial data mining for disaster management
- Innovative applications of machine learning in GIS
- Geospatial data mining in agriculture
- Spatial decision support systems and data mining
- GIS for social media data analysis
- Geospatial data mining for transportation studies
- Machine learning for land use classification
- Future trends in geospatial data mining
All papers must be original and not previously published or submitted elsewhere.
