63 documents found, page 1 of 7
Joint model for zero-inflated data combining fishery-dependent and fishery-inde...
Silva, Daniela; Menezes, Raquel; Araújo, Gonçalo; Rosa, Renato; Moreno, Ana; Silva, Alexandra; Garrido, SusanaAccurately identifying spatial patterns of species distribution is crucial for scientific insight and societal benefit, aiding our understanding of species fluctuations. The increasing quantity and quality of ecological datasets present heightened statistical challenges, complicating spatial species dynamics comprehension. Addressing the complex task of integrating multiple data sources to enhance spatial fish ...
Harnessing information processing theory: key organizational initiatives for di...
Takagi, Nilton; Menezes, Raquel; Varajão, João; Faria, SusanaPurpose: Digital transformation (DT) is connected to how information technologies (IT) can be harnessed to address organizational needs and leverage business opportunities. DT projects are complex endeavors, and IT is just one aspect to manage. Other crucial elements include people, information, business processes, organizational capability and organizational culture. Embedding IT into an organization over poor...
Joint model for zero-inflated data combining fishery-dependent and fishery-inde...
Silva, Daniela; Menezes, Raquel; Araújo, Gonçalo; Rosa, Renato; Moreno, Ana; Silva, Alexandra; Garrido, SusanaAccurately identifying spatial patterns of species distribution is crucial for scientific insight and societal benefit, aiding our understanding of species fluctuations. The increasing quantity and quality of ecological datasets present heightened statistical challenges, complicating spatial species dynamics comprehension. Addressing the complex task of integrating multiple data sources to enhance spatial fish ...
Machine learning ground motion model for stable continental regions: The Lisbon...
Costa, Óscar da Silva; Marinho Reis, A. Paula; Menezes, Raquel; Esteves, Marco[Excerpt] Earthquakes remain among the most destructive natural hazards, affecting over 100 million people globally in 2020. Lisbon, Portugal, located within a Stable Continental Region (SCR) and historically impacted by the 1755 earthquake, has advanced in seismic microzonation and engineering-based hazard modeling. However, these approaches, primarily developed for structural design, offer limited applicabili...
GIS multisource data for the seismic risk assessment of urban areas
Costa, Óscar; Marinho Reis, A. Paula; Silva, António; Menezes, RaquelIn 2020. natural disasters affected around 100 million people worldwide, highlighting the need for improved risk assessment and preparedness, especially in densely populated urban areas prone to seismic events, like Lisbon City. Although comprehensive seismic risk models for Lisbon exist, the lack of a user-friendly, real-time tool for assessing earthquake impacts and implementing effective evacuation plans is ...
Developing a 3D Web-GIS Mapping Platform to support seismic vulnerability asses...
Costa, Óscar; Marinho Reis, A. Paula; Menezes, Raquel; Silva, AntónioIn 2020, natural disasters globally affected around 100 million people, causing substantial economic and human losses. The population density in low-lying coastal or riverside areas heightens the risk of significant impacts from natural disasters. Due to its location, Portugal's tectonic environment induces low to moderate seismic and co-seismic hazards with the potential for considerable economic and human los...
Presence-only for marked point process under preferential sampling
Moreira, Guido Alberti; Menezes, Raquel; Wise, LauraPreferential sampling models have garnered significant attention in recent years. Although the original model was developed for geostatistics, it founds applications in other types of data, such as point processes in the form of presence-only data. While this has been recognized in the Statistics literature, there is value in incorporating ideas from both presence-only and preferential sampling literature. In t...
Environmental effects on the spatiotemporal variability of sardine distribution...
Silva, Daniela; Menezes, Raquel; Moreno, Ana; Teles-Machado, Ana; Garrido, SusanaScientific tools capable of identifying distribution patterns of species are important as they contribute to improve knowledge about biodiversity and species dynamics. The present study aims to estimate the spatiotemporal distribution of sardine (Sardina pilchardus, Walbaum 1792) in the Portuguese continental waters, relating the spatiotemporal variability of biomass index with the environmental conditions. Aco...
Adapting the sampling design of research surveys to improve the biomass estimat...
Silva, Daniela; Menezes, Raquel; Serra-Pereira, Bárbara; Azevedo, Manuela; Figueiredo, IvoneResearch surveys are important to evaluate the spatial distribution of fishery re sources and to monitor their abundance. However, the underlying sampling is usually conceived with the focus on specific species and an efficient design may reconcile this objective with the collection of non-target species data. This study evaluates the adequacy of different sampling designs for the IPMA bottom trawl survey condu...
Using survey data to estimate the impact of the omicron variant on vaccine effi...
Rufino, Jesús; Baquero, Carlos; Frey, Davide; Glorioso, Christin A; Ortega, Antonio; Reščič, Nina; Roberts, Julian Charles; Lillo, Rosa ESymptoms-based detection of SARS-CoV-2 infection is not a substitute for precise diagnostic tests but can provide insight into the likely level of infection in a given population. This study uses symptoms data collected in the Global COVID-19 Trends and Impact Surveys (UMD Global CTIS), and data on variants sequencing from GISAID. This work, conducted in January of 2022 during the emergence of the Omicron varia...