علوم آب و خاک, 2019 In the present study, we used 27 precipitation average monthly data from synoptic, climatologic, rain-guage and evaporative stations located in Zayandeh-Rud river basin for the period of 1970-2014.
M. A. Amini +4 more
doaj
Forecasting seasonality in prices of potatoes and onions: challenge between geostatistical models, neuro fuzzy approach and Winter method [PDF]
This paper, we studied the ability of geostatistical models (ordinary kriging (OK) and Inverse distance weighting (IDW)), adaptive neuro-fuzzy inference system (ANFIS) and Winter method for prediction of seasonality in prices of potatoes and onions in ...
Amiri, Arshia +2 more
core +1 more source
Relationship between exports, imports, and economic growth in France: evidence from cointegration analysis and Granger causality with using geostatistical models [PDF]
This paper introduces a new way of investigating linear and nonlinear Granger causality between exports, imports and economic growth in France over the period 1961-2006 with using geostatistical models (kiriging and inverse distance weighting ...
Amiri, Arshia, Gerdtham, Ulf-G
core +1 more source
Monotonicity-Preserving Bootstrapped Kriging Metamodels for Expensive Simulations [PDF]
Kriging (Gaussian process, spatial correlation) metamodels approximate the Input/Output (I/O) functions implied by the underlying simulation models; such metamodels serve sensitivity analysis and optimization, especially for computationally expensive ...
Beers, W.C.M. van, Kleijnen, Jack P.C.
core +1 more source
地质科技通报Objective Knowledge of the regional groundwater level is an important foundation for groundwater resource evaluation and protection. Due to the limited amount of groundwater level data available at the regional scale, Kriging interpolation and deep ...
Quanjuan WANG +7 more
doaj +1 more source
Prediction of grain size distribution using ordinary kriging and compositional kriging methods
ARPN Journal of Engineering and Applied SciencesGrain size analysis plays a crucial role in understanding the geological characteristics of the coastal environments that influence the optimizations for oil and gas production operations. This paper aims to explore a sophisticated geostatistical approach using the ordinary kriging and compositional kriging techniques, to forecast the grain size ...
openaire +1 more source
Sidewalk Conditions in Northern New Jersey: Using Google Street View Imagery and Ordinary Kriging to Assess Infrastructure for Walking. [PDF]
Prev Chronic Dis, 2019 Plascak JJ +9 more
europepmc +1 more source
A Geostatistical Approach to Define Guidelines for Radon Prone Area Identification [PDF]
Radon is a natural radioactive gas known to be the main contributor to natural background radiation exposure and the major leading cause of lung cancer second to smoking.
Daniela de Bartolo +3 more
core
Combining Ordinary Kriging with wind directions to identify sources of industrial odors in Portland, Oregon. [PDF]
PLoS One, 2018 Eckmann TC +6 more
europepmc +1 more source
Kriging Metamodeling in Simulation: A Review [PDF]
This article reviews Kriging (also called spatial correlation modeling). It presents the basic Kriging assumptions and formulas contrasting Kriging and classic linear regression metamodels.
Kleijnen, J.P.C.
core +1 more source