Big Data in Geocomputation for the Built Environment
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental Sciences".
Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 5898
Special Issue Editors
Interests: software engineering; model-driven engineering; automatic code generation; quality metrics; metadata repository; reuse of UML artifacts
Special Issues, Collections and Topics in MDPI journals
Interests: spatial planning; spatial simulation; geodemographics; urban modelling; geocomputation; urban simulation models; planning environmental studies on climate change
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
During the past few decades, the main problem in geographical analysis was the lack of spatial data availability. The growth of availability of spatiotemporal data in urban environment produced renewed approaches to traditional geocomputational models and methods. Geocomputational models and methods are very promising to define a road map towards sustainable, and hence safer, built environments, because they support the complex decision-making process on which the solution of most real-life problems is based. This Special Issue encourages the submission of papers reporting about the adoption of geocomputational models and methods to solve real-life problems. The contributions must put a special emphasis on the interactions between people and the sustainable, and hence safer, development of the built environments.
Welcome papers should provide, through real-life case studies, clear evidence of the benefits arising from the adoption of geocomputational models and methods. The papers must cover both the theoretical and the experimental aspects.
Contributions on the following topics are particularly welcome:
- Citizen sensing and open data;
- Crowdsourcing and citizen science data;
- Geospatial uncertainty;
- Spatial databases;
- Spatial data mining;
- GISs technology;
- Open geospatial science;
- Agent-based spatial modeling;
- Cellular automata spatial modeling;
- Spatial statistical models;
- Environmental modeling;
- Urban modeling;
- Land use dynamics;
- Geographic visualization and visual analytics;
- Complex systems analysis;
- Machine learning methods for environmental planning;
- Built environment;
- Environmental protection;
- Case studies.
You are cordially invited to contribute to the Special Issue. There is no restriction on the length of papers; this ensures that sufficient information is provided for the results to be reproduced.
The deadline for manuscripts submission is 30 September 2020.
Prof. Dr. Paolino Di Felice
Prof. Dr. Beniamino Murgante
Guest Editors
Manuscript Submission Information
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