Results 131 to 140 of about 3,769,150 (256)
Kriging is one of the most frequently used prediction methods in spatial data analysis. This paper examines which steps of the underlying algorithms can be performed in parallel on a PVM cluster. It will be shown, that some properties of the so called
Achim Zeileis (eds +4 more
core
Estimasi konsentrasi karbon monoksida (CO) pada kasus pencemaran udara di kota Surabaya dengan metode universal kriging [PDF]
Salah satu polutan berbahaya yang memberikan sumbangsih besar dalam pencemaran udara adalah karbon monoksida (CO). Pengukuran konsentrasi CO di udara dilakukan melalui suatu proses panjang menurut Standar Nasional Indonesia (SNI), sehingga tidak ...
Oktaviani, Riskha Tri
core
Quantity and Quality Modeling of Groundwater by Conjugation of ANN and Co-Kriging Approaches
Today, groundwater is a major source of supply for domestic and agricultural purposes; especially in arid and semi arid regions. More water is being consumed to meet of a society whose population increases steadily. Worldwide, irrigated land has increased from 50 million ha in 1900 to 267 million ha in 2000 (Cay and Uyan, 2009).
Vahid Nourani, Reza Goli
openaire +2 more sources
This study examines the spatial distribution of grain yield in the Songnen Plain Agro-Pastoral Zone in Heilongjiang Province from 2015, 2017, 2019 and 2021, using Kriging interpolation as the primary method.
Bing Sun +3 more
doaj +1 more source
ABSTRACT Obtaining accurate water level predictions is essential for water resource management and implementing flood mitigation strategies. Several data‐driven models can be found in the literature. However, there has been limited research with regard to addressing the challenges posed by large spatio‐temporally referenced hydrological datasets, in ...
Victor Hugo Nagahama +2 more
wiley +1 more source
Permanent nearshore sediment loss and inevitable retreat of cohesive bluff‐backed beaches
Net volume in survey control areas at the dune‐backed beach (PB) and bluff‐backed beach (LD) is shown between surveys (‘interval’), where the first point is the difference between 2012 and 2020 JABLTCX LiDAR surveys. Cumulative totals are shown as square markers. Water levels during the same dates are shown in grey.
Chelsea A. Volpano +2 more
wiley +1 more source
Fixed Rank co-Kriging: a model for multivariate spatial prediction
This work develops a multivariate extension of the Fixed Rank Kriging (FRK) framework for spatial prediction in settings where multiple spatial processes may provide complementary information. The goal is to preserve the computational efficiency, the ability to operate without assuming stationarity over the domain, and the spatial support flexibility ...
Caringi, Gaia, Secchi, Piercesare
openaire +2 more sources
ABSTRACT The Mesosphere and Lower Thermosphere establish an essential connection between Earth's lower atmosphere and upper atmosphere because wind patterns essential for atmospheric movement also influence energy distribution and chemical movements during geomagnetic storms that disrupt satellite operations and space weather prediction systems.
Yunhao Si
wiley +1 more source
Geostatistical Approach for Groundwater Quality Evaluation in Zarin Abad Plain, Iran
Background and Purpose: This study was undertaken, first, to investigate the hydrogeological setting of the study area and geophysical data, second to examine the general nature of the groundwater quality.
Abdollah Taheri Tizro, Mohamad Mohamadi
doaj
ABSTRACT Neighborhood crime‐related stressors and the built environment are important determinants of mental health, yet research on the pathways through which they affect individuals remains limited. This study draws on structural equation modeling and high‐quality measures to test the pathways linking a novel measure of neighborhood‐level hostility ...
Paul Rodrigues, Carolyn Côté‐Lussier
wiley +1 more source

