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Geostatistical analysis and mapping

Geostatistical analysis and mapping of malaria risk in children under 5 using point referenced prevalence data in Ghana

Geostatistical analysis and mapping of malaria risk in children under 5 using point referenced prevalence data in Ghana

... Conclusion The current study has shown that area of residence, child’s age, wealth status and mother’s education level are important risk factors for malaria prevalence in chil- dren under 5 years in Ghana. The ...

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Optimal Rain Gauge Network Design and Spatial Precipitation Mapping based on Geostatistical Analysis from Colocated Elevation and Humidity Data

Optimal Rain Gauge Network Design and Spatial Precipitation Mapping based on Geostatistical Analysis from Colocated Elevation and Humidity Data

... multivariate geostatistical algorithm for incorporating relatively cheaper hydrological data into the spatial prediction of ...multivariate geostatistical algorithm outperform the linear regression, ...

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Geostatistical analysis of disease data: accounting for spatial support and population density in the isopleth mapping of cancer mortality risk using area-to-point Poisson kriging

Geostatistical analysis of disease data: accounting for spatial support and population density in the isopleth mapping of cancer mortality risk using area-to-point Poisson kriging

... The analysis of age-adjusted lung and cervix cancer mor- tality rates illustrated some key features of area-to-point (ATP) Poisson kriging relatively to point kriging of raw rates or empirical Bayesian smoothed ...

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A Practical Guide to Geostatistical Mapping

A Practical Guide to Geostatistical Mapping

... classical geostatistical data set used frequently by the creator of 9 the gstat package to demonstrate various geostatistical analysis steps (Bivand et ...

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Geostatistical methods for disease prevalence mapping

Geostatistical methods for disease prevalence mapping

... The map of the pre-control prevalence of nodules that was generated in the geostatistical analysis predicts that before the start of CDTI, onchocerciasis was endemic in 18 of the 20 APOC countries. In ...

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A Practical Guide to Geostatistical Mapping of Environmental Variables

A Practical Guide to Geostatistical Mapping of Environmental Variables

... simple analysis; SAGA GIS will be used to run analysis on DEMs, but also for geostatistical interpolations; R+gstat will be used for various types of statistical and geostatistical ...

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Mapping of Porosity, Permeability and Thickness Distribution: Application of Geostatistical Modeling         for the Jubilee Oilfield in Ghana

Mapping of Porosity, Permeability and Thickness Distribution: Application of Geostatistical Modeling for the Jubilee Oilfield in Ghana

... Abstract Geostatistical methods have been applied to a reservoir in Jubilee oilfield, south-western Ghana, to analyses the distribution patterns of porosity, permeability and ...statistical analysis is ...

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Geostatistical analysis of soil texture fractions on the field scale

Geostatistical analysis of soil texture fractions on the field scale

... & Webster 1980). Conventional classification methods of soil properties mapping indicate higher precision when combined with OK (Voltz et al. 1997). However, OK tends to smooth out the details, i.e. small values ...

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Contribution of geostatistical analysis 
		for the assessment of RMR and geomechanical parameters

Contribution of geostatistical analysis for the assessment of RMR and geomechanical parameters

... The underground geotechnical surveys method provides a great opportunity for engineers and geologists to observe and sample the rock mass on the excavation faces. A total of 115 rock blocks samples from five mining ...

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Geostatistical Analysis of the Data Sets on the Mariana Trench, Pacific Ocean

Geostatistical Analysis of the Data Sets on the Mariana Trench, Pacific Ocean

... Seafloor mapping includes multiple steps in technological process which may include: Hydrosweep DS sonar echo-sounding [35], CARIS HIPS data processing [8], ArcGIS/ArcCatalog database management, QGIS data ...

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Geostatistical Methods for Disease Mapping and Visualisation Using Data from Spatio‐temporally Referenced Prevalence Surveys

Geostatistical Methods for Disease Mapping and Visualisation Using Data from Spatio‐temporally Referenced Prevalence Surveys

... on geostatistical sampling design, where we show how this might affect our analysis of the ...exploratory geostatistical analysis and show how to pursue these using the empirical ...historical ...

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Geostatistical analysis of Malawi's changing malaria transmission from 2010 to 2017

Geostatistical analysis of Malawi's changing malaria transmission from 2010 to 2017

... national household surveys, these are provided in the links to national household survey designs, mostly two-stage random surveys. For other published works, these are often provided in detail in the peer reviewed ...

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Geostatistical analysis of a water well field for determination of land management constraints

Geostatistical analysis of a water well field for determination of land management constraints

... Klute, A. and Dirksen, C. 1986. Hydraulic conductivity and diffusivity: laboratory methods. In: Methods of soil analysis. Part I. Physical and mineralogical methods (Ed: A.Klute). 2 nd ed. Agronomy No:9, American ...

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Mapping seabed sediments: comparison of manual, geostatistical, object-based image analysis and machine learning approaches

Mapping seabed sediments: comparison of manual, geostatistical, object-based image analysis and machine learning approaches

... seabed mapping programmes and the fact that the development of validated, repeatable, quantitative and objective methods of swath acoustic data interpretation is still in its ...image analysis and ...

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Adjusting for sampling variability in sparse data: geostatistical approaches to disease mapping

Adjusting for sampling variability in sparse data: geostatistical approaches to disease mapping

... disease mapping, sampling variability, spatial distribution, spatial analysis, epidemiological methods Background Disease maps that summarize the spatial and spatio- temporal variation in rates of disease ...

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Model-based geostatistical mapping of the prevalence of Onchocerca volvulus in West Africa

Model-based geostatistical mapping of the prevalence of Onchocerca volvulus in West Africa

... Although the baseline survey data used in this study were collected over a period of 16 years (1974 –1990), exploratory inspection of pre-control prevalence boxplots by year showed that there was no significant temporal ...

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Automated mapping of climatic variables using spatio-temporal geostatistical methods

Automated mapping of climatic variables using spatio-temporal geostatistical methods

... Vose, R. S., Division., O. R. N. L. E. S., (U.S.), G. C. R. P., of Energy. Office of Health, U. S. D., Research., E., (U.S.), C. D. I. A. C., and Martin Marietta Energy Systems, I. (1992). The Global historical ...

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Geostatistical mapping of the seasonal spread of under-reported dengue cases in Bangladesh

Geostatistical mapping of the seasonal spread of under-reported dengue cases in Bangladesh

... non-spatial analysis indicated that the following factors should be included in the analysis: mean monthly temperature, mean monthly DTR, interaction between mean monthly temperature and DTR, and mean ...

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Geostatistical approach to spatial analysis of forest damage

Geostatistical approach to spatial analysis of forest damage

... spatial analysis of forest damage Abstract Background and Purpose: Significantly increased forest damage has recently been observed in the Republic of Croatia, as well as increased proportion of unplanned felling ...

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Adaptive geostatistical design and analysis for prevalence surveys

Adaptive geostatistical design and analysis for prevalence surveys

... prevalence mapping, we used an initial set of rMIS data to map disease prevalence in focal area B and analysed the resulting data to define a follow-up sample of new locations with the aim of reducing as much as ...

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