14   Artículos

 
en línea
Yufeng Wang, Xue Chen and Feng Xue    
Spatial epidemiology investigates the patterns and determinants of health outcomes over both space and time. Within this field, Bayesian spatiotemporal models have gained popularity due to their capacity to incorporate spatial and temporal dependencies, ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Fuat Kaya, Ali Keshavarzi, Rosa Francaviglia, Gordana Kaplan, Levent Basayigit and Mert Dedeoglu    
Predicting soil chemical properties such as soil organic carbon (SOC) and available phosphorus (Ava-P) content is critical in areas where different land uses exist. The distribution of SOC and Ava-P is influenced by both natural and anthropogenic factors... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Pengyuan Zeng, Xuan Song, Huan Yang, Ning Wei and Liping Du    
Digital soil mapping has emerged as a new method to describe the spatial distribution of soils economically and efficiently. In this study, a lightweight soil organic matter (SOM) mapping method based on a deep residual network, which we call LSM-ResNet,... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
James Slingsby, Beth E. Scott, Louise Kregting, Jason McIlvenny, Jared Wilson, Ana Couto, Deon Roos, Marion Yanez and Benjamin J. Williamson    
High-flow tidal stream environments, targeted for tidal turbine installations, exhibit turbulent features, at fine spatio-temporal scales (metres and seconds), created by site-specific topography and bathymetry. Bed-derived turbulent features (kolk-boils... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Nai-Qing Fan, A-Xing Zhu, Cheng-Zhi Qin and Peng Liang    
Environmental covariates are fundamental inputs of digital soil mapping (DSM) based on the soil?environment relationship. It is normal to have invalid values (or recorded as NoData value) in individual environmental covariates in some regions over an are... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Panagiotis Tziachris, Vassilis Aschonitis, Theocharis Chatzistathis, Maria Papadopoulou and Ioannis (John) D. Doukas    
In the current paper we assess different machine learning (ML) models and hybrid geostatistical methods in the prediction of soil pH using digital elevation model derivates (environmental covariates) and co-located soil parameters (soil covariates). The ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Roberta Forte, Caterina Pesce, Angela Di Baldassarre, John Shea, Claudia Voelcker-Rehage, Laura Capranica and Giancarlo Condello    
This cross-sectional study investigated the interactive dual-task (DT) effects of executive function demands and environmental constraints on older adults? walking and the moderating role of habitual physical activity (PA). Locomotor performance under di... ver más

 
en línea
Jue Lin-Ye, Manuel García-León, Vicente Gràcia, M. Isabel Ortego, Adrian Stanica and Agustín Sánchez-Arcilla    
The characterization of future wave-storms and their relationship to large-scale climate can provide useful information for environmental or urban planning at coastal areas. A hybrid methodology (process-based and statistical) was used to characterize th... ver más
Revista: Water    Formato: Electrónico

 
en línea
Joan A. Casey, Peter James, Kara E. Rudolph, Chih-Da Wu and Brian S. Schwartz    
Living in communities with more vegetation during pregnancy has been associated with higher birth weights, but fewer studies have evaluated other birth outcomes, and only one has been conducted in the Eastern United States, in regions with a broad range,... ver más

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