Acquisition and Analysis of Spatial Data for Sustainability Assessment
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".
Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 2954
Special Issue Editors
Interests: geographic information systems (GISs); spatial data analysis; building information modeling; geomatics; sustainability research; cartography
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing applications; building information modelling; digital elevation models; vulnerability and hazard assessment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Spatial data are a critical resource, enabling the study of patterns and relations between locations and variables in geographic information systems (GIS). Spatial data can be acquired by using a variety of techniques, devices, and sources, influencing the models later used in GIS-based analyses, such as those within the scope of sustainability assessments. Digital tools that support the integration of heterogeneous data and the production of spatial analytics also enable the effective presentation of results, and have become essential in the multidisciplinary aspects involved in sustainability-related research.
This Special Issue of Sustainability aims to be a platform for researchers to publish innovative high-quality research papers, reviews, case studies, and position papers focusing on spatial data acquisition or spatial data analyses in a sustainability assessment context. A nonexhaustive list of potential topics is provided below:
- Spatial data acquisition methodologies to obtain inputs for resources, energy, and land use studies;
- Planar, 3D, and spatiotemporal simulation or modelling of data in such studies;
- Methodological aspects of geospatial data analysis impacting sustainability assessments;
- Data handling techniques for the spatialization of sustainability-related indicators;
- Case studies of GIS-based resources and environmental evaluations;
- Impacts of spatial data models, quality, transformation, and processing in sustainability assessments;
- Applications for spatial data mining, geovisualization, or spatial decision-support systems in sustainability-related case studies.
Dr. Alexandre B. Gonçalves
Dr. Ana Paula Falcão
Guest Editors
Manuscript Submission Information
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Keywords
- spatial data
- remote sensing applications
- GIS
- geomatics
- spatial indicators
- geovisualization
- sustainability assessment
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