Encontrados 32 documentos, a visualizar página 1 de 4
Sentiment analysis using a lexicon-based approach in Lisbon, Portugal
Betco, Iuria; Ribeiro, Ana Isabel; Vale, David S.; Encalada Abarca, Luis; Viana, Cláudia M.; Rocha, JorgeAdvances 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...
GeoAI: entre métodos tradicionais e novos paradigmas espaciais
Viana, Cláudia M.; Rocha, JorgeA 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...
Algorithm for analyzing randomness in point patterns
Sampaio, Tony; Rocha, Jorge; Viana, Cláudia M.; Camboin, Silvana; Breunig, Fábio Marcelo; Nascimento, Edenilson; Frick, Elaine de Cacia de LimaVarious 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...
A Inteligência Artificial como Ferramenta de Ensino
Rocha, Jorge; Viana, Cláudia M.Nos últimos dois anos, a Inteligência Artificial passou de um tema técnico para uma presença constante no debate educativo, político e social. Com o lançamento do ChatGPT da OpenAI em novembro de 2022, a tecnologia tornou-se acessível ao grande público. A proliferação de ferramentas de IA generative específicas para o Ensino gera possibilidades promissoras para melhorar a qualidade do Ensino,ampliar o acesso e ...
Identifying pharmacy gaps: a spatiotemporal study of multimodal accessibility t...
Viana, Cláudia M.; Encalada Abarca, Luis; Rocha, Jorge; Vale, David S.Background Accessibility to community pharmacies is crucial for ensuring timely access to medications and essen‑ tial health services. While accessibility to community pharmacies is critical, disparities driven by temporal and spatial factors persist, resulting in inequities in healthcare access. This study aims to comprehensively assess spatiotemporal and multimodal accessibility to community pharmacies in Lis...
Delimitation of Soil Districts in mainland Portugal
Conceição, Mariana; Batista, Gonçalo; Garcia, Ricardo; Oliveira, Sérgio; Trindade, André; Viana, Cláudia M.; Rocha, JorgeProposal for a directive on Soil Monitoring and Resilience (Soil Monitoring Law) by the European Union Delineation of Soil Districts - Its concept and importance The use of GIS tools - Machine learning algorithms, Statistical approaches and Cluster analysis Harmonization of monitoring systems at the national level (Portugal)
Changing rice geographies: a long-term perspective of Portuguese regional produ...
Faísca, Carlos Manuel; Freire, Dulce; Viana, Cláudia M.From its origins in Asia, cultivation of Oryza sativa L. in Portugal has had to adapt to local agroecological conditions. Since the late eighteenth century, there has been significant human intervention in rice production, particularly through public policies aimed at increasing production to achieve national food self-sufficiency. Using national and regional statistics on rice production, this article analyses...
Dealing with the uncertainty of technical changes in the CORINE Land Cover data...
García-Álvarez, David; Viana, Cláudia M.; Gomes, Eduardo; Marcelino, Filipe; Caetano, Mário; Rocha, JorgeLand Use and Land Cover (LULC) datasets are widely used across disciplines, with many users demanding more and better information. Understanding the uncertainties and errors associated to the main LULC datasets is a required step to facilitate their correct use, as well as to identify what could be improved in the future production of these products. CORINE Land Cover is probably the most well-known and used LU...
Four fundamental questions to evaluate land change models with an illustration ...
Viana, Cláudia M.; Pontius, Robert Gilmore; Rocha, JorgeNumerous models exist for users to simulate land change to communicate with an audience concerning futureland change. This article raises four fundamental questions to help model users decide whether to use anymodel: (1) Can the user understand the model? (2) Can the audience understand the model? (3) Can the usercontrol the model? (4) Does the model address the goals of the specific application? This article a...
The spatiotemporal links between urban and rural regions through the sale and c...
Ribeiro, Carlos; Viana, Cláudia M.; Girão, Inês; Figueiredo, Elisabete; Rocha, JorgeThe asymmetries between rural and urban areas have continued to increase over the last decades, contributing to an imbalance of economic, social, and territorial dimensions between regions. Urban stores specialized in the commercialization of rural provenance agri-food products can have a role in the promotion of interrelations between the countryside and the cities and contribute to publicizing and promoting r...