| Zdroj: |
Batista e Silva, F 2022, ' Geospatial data fusion for continental assessments of land use, activities and population distribution ', PhD, Vrije Universiteit Amsterdam, Italy . https://doi.org/10.6084/m9.figshare.19507777 |
| Popis: |
This thesis advances the use of geospatial data fusion as a means to bridge the gap between the conventional, yet limited, data sources and the geospatial data from emerging, unconventional, yet disparate, sources and formats. The project showcases different applications of this concept relevant to the assessment of human activity at European scale. Underpinning each application in the thesis is the research question: How can geospatial data from diverse sources and with different properties be combined to enhance the spatial representation of human activity? The thesis focuses on developing an ensemble of data fusion protocols to integrate geospatial data from both conventional and unconventional data sources with very different characteristics into consistent data frameworks to fill specific data, information and knowledge gaps. Within the geospatial sciences, data fusion has been used mainly in the remote sensing domain. This project tries to unlock the potential of data fusion for a broader set of geographical information science applications, with focus areas on land use (Chapters 2, 3, 4), sector-specific activities (Chapters 5, 6) and population distribution (Chapters 7, 8). The outcomes stretch beyond the production of fancier digital maps. The thesis synthesizes new information from structured data fusion approaches, where the results are more than the sum of the parts, allowing new insight about the spatial dimension of socio-economic phenomena, to ultimately feed decision-support tools. |
