[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...
Accurately 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 ...
Accurately 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 ...
Purpose: 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...
Species distribution models play a pivotal role in the management and conservation of commercially significant marine species. This work focuses on investigating geostatistical models that connect species occurrence and biomass observations with environmental covariates at a limited number of locations. The main objectives are to identify hotspots of juvenile richness, and map recruitment areas and seasons. Our...
Accurately 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 ...
In 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 ...
In 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...
Preferential 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...
Scientific 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...