Special Issues

Resource and Environmental Information Modeling

Submission Deadline: 31 October 2025 View: 277 Submit to Special Issue

Guest Editors

Prof. Manchun Li

Email: limanchun@nju.edu.cn

Affiliation: Department of GIS, Nanjing University, China

Homepage:

Research Interests: Geographic information system and Remote Sensing


Dr. Nan Xia

Email: xianan@nju.edu.cn

Affiliation: Department of GIS, Nanjing University, China

Homepage:

Research Interests: analysis and modeling of geographic big data 


Summary

The exploitation and utilization of resources is of great significance to human production and life, while this process have greatly influenced both natural environments and man-made environments. Understanding the interactions between resources and environments from perspective of the geographic information is crucial to the sustainable and high-quality development. This special issue aims to bring together research contributions of a wide range of research topics, from spatial-temporal analysis to geographic knowledge discovery, ensuring comprehensive coverage of the latest trends in geographic modeling on the resources and environments.


Topics of Interest:

This special issue welcomes original research, review articles, case studies, and technical notes related, but are not limited, to the following topics:

1. Spatial analysis and pattern mining of resource and environment.

2. Dynamic evolution process of environment factors and resources.

3. Spatial interaction modeling on socio-economic factors and environments.

4. Geographic intelligence techniques and system simulation.

5. Spatial optimization considering resource and environment constraints.

6. Comprehensive analysis and modeling based on geographic big data.

7. Data integration and geographic knowledge discovering.

8. Policies and recommendations for resource and environment management.

9. Application and demonstration of resource and environmental information system.


Keywords

Geographic information science, Geographic modeling, Resources and environment, GeoAI techniques, Spatial analysis

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