Advances in digital sensors and Information flow have created an abundance of data generated by users under various emotional states in different situations. Although this opens up a new facet in spatial research, the large amount of data makes it difficult to analyze and obtain complete and comprehensive information leading to an increase in the demand for sentiment analysis. In this study, the Canadian Nation...
Coastal sustainable land use hinges on sea level rise (SLR) as a critical driver of climate risk mitigation, shaping adaptative coastal zone management, and fostering transitions towards resilient communities. The mainland Portuguese coastline, exposed to the energetic North Atlantic wave regime, faces frequent erosion and coastal flooding. By 2100, the consequences of these hazards are expected to intensify as...
ABSTRACT: Structures such as OLEDs, perovskite solar cells, intumescent glasses, and other components in modern devices and buildings contain materials suscep-tible to degradation when exposed to UV radiation, requiring protection to with-stand outdoor environmental conditions. In this work, multilayer coating config-ured as a Bragg Reflector on glass is employed as spectral filtering to protect the intumescent...
Coastal tourism holds substantial development potential. However, coastal ecosystems are affected by tourism development, which limitsthe supply of ecosystem services(ES). Thisstudy aimsto conduct a systematic literature review on the impacts of tourism on coastal and marine ES using the Preferred Reporting Items for Systematic Reviews and Meta-alpha Methods. We initially identified 640 studies by searching tit...
A Inteligência Artificial Geoespacial (GeoAI) representa um avanço crucial na interseção entre inteligência artificial (IA), geografia e geomática, proporcionando novas abordagens para a análise e modelação de dados geoespaciais. Desde os primeiros debates nos anos 1980 sobre a sua aplicação em geografia, o campo evoluiu significativamente, integrando técnicas avançadas como aprendizagem automática e redes neur...
While rooftops have been extensively studied for their photovoltaic (PV) potential, the volumetric space between buildings remains largely unexplored. This study introduces a replicable framework to quantify solar radiation within this unoccupied urban volume. The methodology leverages widely available city-scale datasets (e.g., LIDAR data, elevation contours, and building footprints) and accessible software to...
This work has been developed under the Science4Policy 2024 (S4P-24), an annual Science for Policy Project call, an initiative promoted by Centre for Planning and Evaluation of Public Policies in partnership with the Foundation for Science and Technology (FCT), financed by Portugal Recovery and Resilience Plan. Project ML-Soil Co-participatory Modeling of Soil Districts using Machine Learning (2024.00178.S4P24) ...
Portugal does not have detailed and complete soil maps at a scale that is useful for environmental management. Existing data is: Inconsistent and spread across different organizations; Different in terms of scale, methods used and classification systems; Often old maps converted from paper to digital, with missing or incorrect information. The General Soil Map of Portugal (1:1,100,000) is still the only nationa...
Various tests can be used to assess whether the spatial distribution pattern of a set of points is random, dispersed, or clustered. These tests typically compare the expected and observed distances among points, assuming no barriers. However, what is deemed “random’’ in point spatial patterns may be influenced by socio-environmental factors such as wetlands or transportation networks. This tool introduces a seq...
Background The incidence of mosquito-borne infections has increased worldwide. Mainland Portugal’s characteristics might favour the (re)emergence of mosquito-borne diseases. This study aimed to characterize the spatial distribution of vectors and notification rates of imported cases of mosquito-borne infections in mainland Portugal and demarcate the areas where these geographies overlap. Methods We used data fr...