Results 91 to 100 of about 58,672 (256)
N‐SDM 2.0: a reengineered software with extended features for nested species distribution modelling
Species distribution models (SDMs) are central tools for predicting and forecasting how species respond to environmental changes, yet their reliability depends on accurately capturing ecological processes across spatial scales while accounting for uneven data availability and resolution.
Antoine Adde +3 more
wiley +1 more source
Spatial sampling bias in occurrence data can generate spurious environmental associations in models of species distributions and ecological niches, and can also undermine inferences based on permutation tests made using these models. Geographic randomization tests are often used to generate distributions of expected behavior under the null hypothesis ...
Dan L. Warren +4 more
wiley +1 more source
Multivariate analysis methods have been widely applied to decode brain states from functional magnetic resonance imaging (fMRI) data. Among various multivariate analysis methods, partial least squares regression (PLSR) is often used to select relevant ...
Zhiying Long +3 more
doaj +1 more source
‘biomod2' – extending presence–absence species distribution models to multiple data types
The R package ‘biomod2' is one of the most widely used and versatile tools for species distribution modelling (SDM), enabling ecologists to calibrate, evaluate, and project species–environment relationships across space and time using multiple modelling algorithms and ensemble forecasting.
Maya Guéguen +3 more
wiley +1 more source
Exploring citizen participation in fiscal control: insights from Manizales, Colombia
The objective of this study is to identify the fundamental determinants of citizen participation within the framework of the "Let's Take Control" initiative, implemented by the General Comptroller's Office of Manizales Municipality during 2020-2021 ...
Carlos David Cardona-Arenas +1 more
doaj +1 more source
Objective: Assessing, through ecological modeling, which environmental variables explain the species richness of fish in streams in southern Maranhão. Theoretical framework: Ecological modeling techniques that correlate species abundance or richness as response variables with environmental predictors are used to predict the probability of species ...
Thamires Barroso Lima +5 more
openaire +1 more source
ABSTRACT The international conservation and natural resources communities have increasingly embraced the principle of community participation. This rhetoric around participation has gained power and influence in setting countries' agendas for natural resources governance, largely without a sound understanding of public opinion on the issues.
Rachel S. Friedman +3 more
wiley +1 more source
Insurance companies need a method to help companies determine premium prices that are appropriate to the risks they face. In other words, it is also necessary to know the variables that influence premium prices using Generalized Linear Models (GLM) by generalizing the linear regression model to model the relationship between the dependent variable and ...
Devani Oktaviani +2 more
openaire +1 more source
Predicting post‐surgical visuospatial memory performance in people with drug‐resistant epilepsy
Abstract Objective Although verbal memory decline has been consistently reported following surgery for temporal lobe epilepsy, especially when surgery is performed in the language‐dominant hemisphere and targets mesial temporal structures, the relation between the location and the hemisphere of surgery on visuospatial memory, as well as the factors ...
Emma Colucci +7 more
wiley +1 more source
Abstract Objectives Temporal lobe epilepsy (TLE) impacts multiple brain networks. Aberrant functional connectivity has been demonstrated in resting‐state networks (RSNs) that mediate higher brain functions in TLE. This study aimed to identify the reproducible patterns of altered functional connectivity in TLE in a large, international cohort through ...
Victoria Ives‐Deliperi +28 more
wiley +1 more source

