Urban Geospatial Analytics Based on Big Data
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental Sciences".
Deadline for manuscript submissions: 20 May 2025 | Viewed by 44
Special Issue Editors
Interests: spatial analysis; spatial information systems; GIS; spatial relationships
Interests: waste management; recycling; reuse; recovery; materials from waste; circular economy; sustainable development
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue on “Urban Geospatial Analytics Based on Big Data” invites submission of recent research papers on this promising area of geospatial analytics applications. The call is open to a wide range of thematic articles covering the latest applications of big data and applied geographic information systems in various fields such as urban planning, real estate management, transportation and logistics management, and agriculture, among others. A very important aspect is crisis management and civil protection in natural disasters through rapid analysis of unfolding events and their ongoing monitoring. Another area of application of geo-information systems is the management of public health and health care availability. Yet another important group of applications is the processing of information at the location of various phenomena, especially those with high variability over time. Geographic information systems are an effective tool for monitoring pollution levels, which is crucial in engineering and environmental protection and in with regard to sustainable development.
This Special Issue aims to offer readers knowledge on expanding the application of spatial information systems, multi-criteria spatial analysis, and statistical models for decision support at various levels in many fundamental applications.
Dr. Anna Kochanek
Prof. Dr. Agnieszka Generowicz
Guest Editors
Manuscript Submission Information
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Keywords
- geospatial data
- databases
- spatial analysis
- spatial information systems
- GIS
- spatial relationships
- big data
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