Results 81 to 90 of about 12,097 (212)
Geostatistical analysis of the spatial distribution of mycotoxin concentration in bulk cereals [PDF]
Deoxynivalenol (DON) and ochratoxin A (OTA) in agricultural commodities present hazards to human and animal health. Bulk lots are routinely sampled for their presence, but it is widely acknowledged that designing sampling plans is particularly ...
Origgi, Simona +6 more
core +1 more source
Temporal Replication and Sampling Efficiency in High‐Frequency Autonomous and Manual eDNA Sampling
Accounting for temporal correlation in eDNA time series can improve the accuracy of ecological inference about the influence of hydrological covariates on eDNA concentration. Further, we found that MCE filters were more efficient than PES filters. ABSTRACT Environmental DNA (eDNA) sampling is a valuable tool for ecological research, but its reliability
Ben C. Augustine +6 more
wiley +1 more source
A análise geoestatística é uma poderosa ferramenta utilizada em estudos de dependência espacial. No que tange à dependência temporal, poucas são as análises realizadas com essa metodologia.
André Q. de Almeida +4 more
doaj
ABSTRACT The formation of ground‐level ozone follows complex nonlinear photochemical processes that depend on multiple environmental factors and have strong spatio‐temporal structures. Environmental data used to study these dynamics usually originate from multiple sources, including in situ monitoring stations and satellite observations.
Mika Sipilä +5 more
wiley +1 more source
Implications of heterogeneity on transport simulations at large scale: the Morroa aquifer case
The Morroa aquifer located in Sucre state (northern Colombia) represents the exclusive source of water supply for nearly 500.000 people, including the capital of the state Sincelejo.
Anibal Jose Pérez-García +2 more
doaj +1 more source
Stationary Subspace Analysis for Spatial Data
ABSTRACT Stationary subspace analysis (SSA) is a blind source separation framework that decomposes linearly mixed multivariate data into stationary and nonstationary components. We extend SSA to spatially indexed data by introducing spatial stationary subspace analysis (spSSA), which explicitly accounts for spatial dependence.
Perttu Saarela +3 more
wiley +1 more source
Mathematical Genesis of the Spatio-Temporal Covariance Functions [PDF]
Obtaining new and flexible classes of nonseparable spatio-temporal covariances have resulted in a key point of research in the last years within the context of spatiotemporal Geostatistics.
Montero, JM +2 more
core
Mapping linear water erosion across Mato Grosso revealed spatially concentrated critical areas rather than a uniform distribution. Erosion foci were more frequent in environmentally fragile landscapes and areas of land‐use conflict, highlighting where monitoring and soil‐conservation actions should be prioritized.
Kássio Samay Ribeiro Tavares +2 more
wiley +1 more source
ABSTRACT Soil organic carbon (SOC), as a key indicator of global carbon cycling and climate change response, plays a critical role in regional ecological security and agricultural sustainability. This study employs three machine learning models including the LightGBM, XGBoost, and random forest to simulate the spatial distribution of topsoil SOC stocks
Xinxin Jin +7 more
wiley +1 more source
Image inpainting and the extraction of different components from the electrical image log images are performed. After generating the training image, determining the appropriate template, multigrid, and event, calculating the conditional probability ...
Xiaoling Xiao +3 more
doaj +1 more source

