18 documents found, page 1 of 2
Unpacking occupational health data in the service sector: from bayesian network...
Pazo, María; Boente, Carlos; Albuquerque, M.T.D.; Gerassis, Saki; Roque, Natália; Taboada, JavierThe health status of the service sector workforce is a significant unknown in the field of medical geography. While spatial epidemiology has made progress in predicting the relationship between human health and the environment, there are still important challenges that remain unsolved. The main issue lies in the inability to statistically determine and visually represent all spatial concepts, as there is a need...
How will climate change impact maritime pine forest distribution and productivi...
Alegria, Cristina Maria; Almeida, Alice M.; Ribeiro, Maria Margarida; Martins Roque, Natália; Fernandez, Paulo; Gerassis, SakiPortuguese maritime pine forests are severely affected by forest fires. The study aimed at modelling: (1) species’ current distribution and productivity; and (2) species’ distribution for projected future climate change scenarios. The land cover, national forest inventory, and environmental data were used. A Bayesian Machine Learning (ML) analysis allowed exploring the most influential environmental variables. ...
Unpacking occupational health data in the tertiary sector. From spatial cluster...
Pazo, María; Boente, Carlos; Albuquerque, M.T.D.; Roque, Natália; Gerassis, Saki; Taboada, JavierThe health status of the service sector workforce is a great unknown for medical geography. Despite the advances carried out by spatial epidemiology to predict spatial patterns of disease incidence, there are important challenges unsolved. In particular, the main issue resides in the ability to effectively simplify and visually represent the problem domain, given the need to cover very different service activit...
Prediction scenarios of past, present, and future environmental suitability for...
Almeida, Alice; Martins, M. João; Campagnolo, Manuel Lameiras; Fernandez, Paulo; Albuquerque, M.T.D.; Gerassis, Saki; Gonçalves, José CarlosClimate change is a challenge for forests in the coming decades, with a major impact on species adaptation and distribution. The Mediterranean Basin is one of the most vulnerable hotspots for biodiversity conservation under climate change in the world. This research aimed at studying a Mediterranean species well adapted to the region: the Arbutus unedo L. (strawberry tree). The MaxEnt, a presence-only species-d...
Prediction scenarios of past, present, and future environmental suitability for...
Almeida, Alice Maria; Martins, Maria João; Campagnolo, Manuel Lameiras; Fernandez, Paulo; Albuquerque, Teresa; Gerassis, Saki; Gonçalves, José CarlosClimate change is a challenge for forests in the coming decades, with a major impact on species adaptation and distribution. The Mediterranean Basin is one of the most vulnerable hotspots for biodiversity conservation under climate change in the world. This research aimed at studying a Mediterranean species well adapted to the region: the Arbutus unedo L. (strawberry tree). The MaxEnt, a presence-only species-d...
Future habitat suitability for species under climate change: lessons learned fr...
Gerassis, Saki; Albuquerque, M.T.D; Roque, Natália; Ribeiro, Sílvia; Taboada, Javier; Ribeiro, M.M.A.Climate change is already a reality, and habitat loss is affecting relentlessly tree species distributions. The strawberry tree (Arbutus unedo L., Ericaceae) is a Mediterranean evergreen tree used in this article as a case study to evince its expected threatening situation in the upcoming age. This research work seeks to identify the bioclimatic and physiographic variables that have the most impact on the straw...
Mapping occupational health risk factors in the primary sector: a novel supervi...
Gerassis, Saki; Boente, Carlos; Albuquerque, M.T.D.; Ribeiro, M.M.A.; Abad, A.; Taboada, JavierWorkers around the world spend nearly a quarter of their time at work Occupational health is gaining great importance due to the profound impact on people long term health. The health status of the primary sector workforce is a great unknown for medical geography where health maps and spatial patterns have not been able to explain years of changing disease rates. This article proposes a new approach based on a ...
Species ecological envelopes under climate change scenarios: a case study for t...
Alegria, Cristina; Roque, Natália; Albuquerque, Teresa; Gerassis, Saki; Fernandez, Paulo; Ribeiro, Maria MargaridaSpecies ecological envelope maps were obtained for the two main Portuguese wood-production species (Eucalyptus globulus Labill. and Pinus pinaster Aiton) and projected future climate change scenarios. A machine learning approach was used to understand the most influential environmental variables that may explain current species distribution and productivity. Background and Objectives: The aims of the study were...
Understanding complex blasting operations: a structural equation model combinin...
Gerassis, Saki; Albuquerque, M.T.D.; García, J.F.; Boente, Carlos; Giráldez, E.; Taboada, Javier; Martín, JoséA probabilistic Structural Equation Model (SEM) based on a Bayesian network construction is introduced to perform effective safety assessments for technicians and managers working on-site. Using novel AI software, the introduced methodology aims to show how to deal with complex scenarios in blasting operations, where typologically different variables are involved. Sequential Bayesian networks, learned from the ...
A coupled multivariate statistics, geostatistical and machine-learning approach...
Boente, Carlos; Albuquerque, M.T.D.; Gerassis, Saki; Rodríguez-Valdés, E.; Gallego, J.R.The impact of mining activities on the environment is vast. In this regard, many mines were operating well before the introduction of environmental law. This is particularly true of cinnabar mines, whose activity has declined for decades due to growing public concern regarding Hg high toxicity. Here we present the exemplary case study of an abandoned Hg mine located in the Somiedo Natural Reserve (Spain). Until...