Spatial Statistics: Methods and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D1: Probability and Statistics".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 636
Special Issue Editor
Special Issue Information
Dear Colleagues,
Spatial statistics and modeling has become an essential discipline in various fields, including ecology, epidemiology, urban planning, and environmental science. As data are becoming increasingly complex and voluminous, the need for robust statistical methods that can effectively analyze spatial phenomena is more critical than ever. This Special Issue aims to highlight the latest advancements in spatial statistical methodologies and their diverse applications.
Contributors to this Special Issue are invited to present innovative techniques that address both theoretical and practical challenges in spatial analysis. From novel estimation methods to sophisticated modeling approaches, the articles included in this Special Issue should exemplify the dynamic interplay between methodology and real-world applications. Additionally, the selected studies should showcase the utility of spatial statistics and modeling in tackling pressing issues, such as disease mapping, resource management, and urban development.
We invite readers to explore the rich array of research presented in this Special Issue, which not only underscores the importance of spatial statistics and modeling in contemporary research but also inspires further inquiry and innovation in this vibrant field.
Dr. Hanchen Yu
Guest Editor
Manuscript Submission Information
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Keywords
- spatial statistics
- spatial modeling
- spatial analysis
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