[HTML][HTML] COVID-19 and the environment: A critical review and research agenda
The current Coronavirus infection (COVID-19) outbreak has had a substantial impact on
many aspects of general life. Although a number of studies have been published on the …
many aspects of general life. Although a number of studies have been published on the …
Species distribution modeling: a statistical review with focus in spatio-temporal issues
The use of complex statistical models has recently increased substantially in the context of
species distribution behavior. This complexity has made the inferential and predictive …
species distribution behavior. This complexity has made the inferential and predictive …
A review of predictive uncertainty estimation with machine learning
H Tyralis, G Papacharalampous - Artificial Intelligence Review, 2024 - Springer
Predictions and forecasts of machine learning models should take the form of probability
distributions, aiming to increase the quantity of information communicated to end users …
distributions, aiming to increase the quantity of information communicated to end users …
Integrated community models: A framework combining multispecies data sources to estimate the status, trends and dynamics of biodiversity
Data deficiencies among rare or cryptic species preclude assessment of community‐level
processes using many existing approaches, limiting our understanding of the trends and …
processes using many existing approaches, limiting our understanding of the trends and …
When mechanism matters: Bayesian forecasting using models of ecological diffusion
Ecological diffusion is a theory that can be used to understand and forecast spatio‐temporal
processes such as dispersal, invasion, and the spread of disease. Hierarchical Bayesian …
processes such as dispersal, invasion, and the spread of disease. Hierarchical Bayesian …
Spatio-temporal modeling of parcel-level land-use changes using machine learning methods
E Tepe, A Safikhani - Sustainable Cities and Society, 2023 - Elsevier
Spatio-temporal modeling of parcel-level land development dynamics is essential to
maintain sustainable urban growth. Modeling parcel-level urban development controlling …
maintain sustainable urban growth. Modeling parcel-level urban development controlling …
Possible future climate change impacts on the meteorological and hydrological drought characteristics in the jinghe river basin, China
Revealing the impact of future climate change on the characteristics and evolutionary
patterns of meteorological and hydrological droughts and exploring the joint distribution …
patterns of meteorological and hydrological droughts and exploring the joint distribution …
Principles and mechanisms of wildlife population persistence in the face of disease
Emerging infectious diseases can result in species declines and hamper recovery efforts for
at-risk populations. Generalizing considerations for reducing the risk of pathogen …
at-risk populations. Generalizing considerations for reducing the risk of pathogen …
Dynamic correlation analysis method of air pollutants in spatio-temporal analysis
Y Bai, X Jin, X Wang, X Wang, J Xu - International journal of …, 2020 - mdpi.com
Pollutant analysis and pollution source tracing are critical issues in air quality management,
in which correlation analysis is important for pollutant relation modeling. A dynamic …
in which correlation analysis is important for pollutant relation modeling. A dynamic …
Using machine learning to model nontraditional spatial dependence in occupancy data
NM Mohankumar, TJ Hefley - Ecology, 2022 - Wiley Online Library
Spatial models for occupancy data are used to estimate and map the true presence of a
species, which may depend on biotic and abiotic factors as well as spatial autocorrelation …
species, which may depend on biotic and abiotic factors as well as spatial autocorrelation …