Geostatistical methods
Study of Anthropogenic Soils on a Reclaimed Dumpsite and their Variability by Geostatistical Methods
... using geostatistical methods, and to evaluate the development of reclaimed dumpsite ...that geostatistical methods are suitable for a description of anthropogenic soil properties and their ...
7
Geostatistical methods and applications in global health
... developing geostatistical methods to map malaria, undernutrition and Loa loa in sub-Saharan ...develop geostatistical models to map Plasmodium falciparum parasite prevalence and entomological ...
264
Kriging Geostatistical Methods for Travel Mode Choice: A Spatial Data Analysis to Travel Demand Forecasting
... Kriging geostatistical methods to PM travel mode use is listed following: 1) Is to be highlighted that the considered regionalized variables are not natural (variables derive from a pre- vious data ...
14
Spatio-Temporal Analysis of Drought Severity Using Drought Indices and Deterministic and Geostatistical Methods (Case Study: Zayandehroud River Basin)
... purposes. Geostatistical methods allow the interpolation of spatially referenced data and the prediction of values for arbitrary points in the area of ...interpolation methods, including ordinary ...
8
Application of geostatistical methods for mapping groundwater phosphate construction in Eyvan plain, Ilam Province, Iran
... The purpose of this study was to evaluate the spatial changes of groundwater phosphate concentrations using geostatistical methods based on data from 10 groundwater wells. One of the conventional tools in ...
7
Geostatistical Methods for Disease Mapping and Visualisation Using Data from Spatio‐temporally Referenced Prevalence Surveys
... develop geostatistical methods for the analysis of data from spatio-temporally referenced prevalence ...Bayesian methods of inference, showing how to account for parameter uncertainty under each of ...
35
Spatial Variability of Heavy Metals in the Soils of Ahwaz Using Geostatistical Methods
... The geostatistical methods consider the spatio-temporal variation of soil properties as a random process depending on both the time and ...these methods provide a set of statistical tools for ...
5
Modeling spatial distribution of Tehran air pollutants using geostatistical methods incorporate uncertainty maps
... four geostatistical interpolation methods: Ordinary Kriging, Universal Kriging, Simple Kriging, and Ordinary Cokriging with Gaussian semivariogram, to estimate the spatial distribution surface for three ...
12
Geostatistical Methods for Lithological Aquifer Characterization and Groundwater Flow Modeling of the Catania Plain Quaternary Aquifer (Italy)
... model. Geostatistical interpolators (spatial statistical methods) could be subdivided on the basis of assumptions about the initial distribu- tion of the studied variables as either Gaussian or non-Gaussian ...
25
Assessment of Geostatistical Methods for Determining Distribution Patterns of Groundwater Resources in Sari-Neka Coastal Plain, Northern Iran
... Using geostatistical techniques to investigate the changes in depth to groundwater and water table provides a means to spatial zonation of such parameters in order to assess the exploitation regime in the study ...
12
The Application of Geostatistical Methods to Prepare the 3D Petrophysical Model of Oil Reservoir
... In this study, the petrophysical parameters such as density, sonic, neutron, and porosity were investigated and presented in the 3D models. The 3D models were built using geostatistical method that is used to ...
12
Processing of conventional soil survey data using geostatistical methods
... First the original untreated data were used. Then the original data were treated to overcome the prob- lems that arise from different aims of conventional soil survey and geostatistical approaches. The ex- treme ...
6
Application of Geostatistical Methods to Estimate Groundwater Level Fluctuations
... After selecting the Gaussian model, Kriging and co-kriging were applied for estimation of maximum, average and minimum groundwater level across the study area. The performance criteria were applied to the sampled data ...
13
Estimating the number of cases of podoconiosis in Ethiopia using geostatistical methods
... The methods used to assess the number of people with podoconiosis have changed since 1974 (Deribe et ...assessment methods are also contributing factors to the difference in the number of estimated ...
10
Geostatistical interpolation by quantile kriging
... The cross-validation of the estimator revealed an improve- ment for most of the selected objective functions. In partic- ular, QK addresses the temporal bias, which remains unat- tended by the traditional ...
16
Spatial variability and affecting factors of soil nutrients in croplands of Northeast China: a case study in Dehui County
... using geostatistical methods and GIS to study the spatial distribution characteristics of soil organic matter (OM), total nitrogen (TN), extractable phosphorus (EP), extractable potas- sium (EK) and other ...
11
Bioclimatic Analysis and Spatial Distribution of Livestock Fascioliasis in Iran
... Geostatistical methods in predicting the possible transmission of the disease, results of statistical analyses of the animal fascioliasis prevalence, various studies on the prevalence rate of fascioliasis ...
11
Assessment of Severity of Droughts Using Geostatistics Method(Case Study: Southern Iran)
... interpolation methods and concluded that the kriging method is an effective ...(IDW) geostatistical methods were assessed to identify the optimum method for SPI and RDI ...
9
Spatial variation of trace elements in the peri-urban soil of Madrid
... The observations of elements included outliers close to local sources of pollution. These can distort the estimation of model parameters and hence, the predictions. Therefore, be- fore estimating a LMM, we used robust ...
12
Using non exceedance probabilities of policy relevant malaria prevalence thresholds to identify areas of low transmission in Somalia
... based geostatistical methods allows an interpolation of imper- fect data in space and in time to provide properties of risk at administrative units required to make policy rel- evant ...
10