Results 101 to 110 of about 923 (195)
Geospatial data in pediatric asthma in the United States: a scoping review protocol. [PDF]
Cushing AM +8 more
europepmc +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
O sistema de agricultura tradicional desconsidera a variabilidade espacial dos atributos dos solos utilizados na produção vegetal, enquanto que o manejo localizado visa a identificar e propor o manejo dessa variabilidade.
Reges Durigon +4 more
doaj
Determination and mapping of calcium and magnesium contents using geostatistical techniques in oil palm plantation related to basal stem rot disease [PDF]
The basal stem rot (BSR) disease has been reported as the most destructive disease of oil palms in Southeast Asia. Adequate contents of nutrient in soil and leaf helps improve the plant health and its productivity.
Nur Shuhada Tajudin +3 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
Geostatistical analysis of pollutant concentrations in the groundwater systems of Vicenza Province. [PDF]
openThe following thesis aims to depict the spatio-temporal evolution of underground water quality in the high to middle plain area of the Vicenza Province.
FABRELLO, LAURA
core
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
Comparative Analysis of Selected Geostatistical Methods for Bottom Surface Modeling. [PDF]
Biernacik P +2 more
europepmc +1 more source
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
Development of a groundwater quality index: GWQI, for the aquifers of the state of Bahia, Brazil using multivariable analyses. [PDF]
Barbosa Filho J, de Oliveira IB.
europepmc +1 more source

