نتایج جستجو برای: ordinary kriging

تعداد نتایج: 53528  

2014
J. B. Boisvert

The economic assessment of mining projects includes many factors and resource classification is critical at any stage of mining. The quality of resource classification is a key requirement for accurate economic and environmental risk evaluation. The results of economic assessment are usually reported by companies in order to attract investors. Mineral resource classification standards were crea...

Journal: Desert 2016
A. Afzali A. Golpaygani E. Azizabadi Farahani E. Khosrojerdi H. Keshtkar M. TaghiNaghilou N. Moazami S. Pakzad Z. Yousefi

     Drought monitoring is a fundamental component of drought risk management. It is normally performed using various drought indices that are effectively continuous functions of rainfall and other hydrometeorological variables. In many instances, drought indices are used for monitoring purposes. Geostatistical methods allow the interpolation of spatially referenced data and the prediction of v...

Journal: :JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) 2022

Congestion is a problem that occurs when the number of vehicles exceeds capacity road and vehicle speed slows down. This issue one main issues in big cities, including Bandung. In this study, study aims to reduce traffic congestion city The classification process uses Support Vector Machine (SVM), Naive Bayes, Ordinary Kriging methods. data used counting from ATCS Bandung direct observation. co...

Journal: :desert 2013
a. nohegar m. heydarzadeh a. malekian

drought monitoring is a fundamental component of drought risk management. it is normally performed usingvarious drought indices that are effectively continuous functions of rainfall and other hydrometeorological variables.in many instances, drought indices are used for monitoring purposes. geostatistical methods allow the interpolationof spatially referenced data and the prediction of values fo...

2003
Rolf Sidler Klaus Holliger

Kriging is a powerful spatial interpolation technique, especially for irregularly spaced data points, and is widely used throughout the earth and environmental sciences. The estimation at an unsampled location is given as the weighted sum of the circumjacent observed points. The weighting factors depend on a model of spatial correlation. Calculation of the weighting factors is done by minimizin...

ژورنال: علوم آب و خاک 2019

Determination of water quality is an essential issue in water resources management and its monitoring and zoning should be considered as an important principle in planning. In this study, in order to investigate the quality of groundwater resources (springs, wells and qanats) in Semnan watershed, first, the water quality index for drinking and agricultural purposes was obtained by means of meas...

2010
Benjamin G Jacob Nathan D Burkett-Cadena Jeffrey C Luvall Sarah H Parcak Christopher JW McClure Laura K Estep Geoffrey E Hill Eddie W Cupp Robert J Novak Thomas R Unnasch

BACKGROUND A site near Tuskegee, Alabama was examined for vector-host activities of eastern equine encephalomyelitis virus (EEEV). Land cover maps of the study site were created in ArcInfo 9.2 from QuickBird data encompassing visible and near-infrared (NIR) band information (0.45 to 0.72 microm) acquired July 15, 2008. Georeferenced mosquito and bird sampling sites, and their associated land co...

2007
R. Giraldo P. Delicado J. Mateu

We present a methodology to perform spatial prediction when measured data are curves. In particular, we propose both an estimator of the spatial correlation and a functional kriging predictor. We adapt an optimization criterium used in multivariable spatial prediction in order to estimate the kriging parameters. A real data example on soil penetration resistences illustrates our proposals.

2004
Peter P. Siska Pierre Goovaerts Vaughn M. Bryant

The magnitude of kriging errors varies in accordance with the surface properties. The purpose of this paper is to determine the association of ordinary kriging (OK) estimated errors with the local variability of surface roughness, and to analyse the suitability of probabilistic models for predicting the magnitude of OK errors from surface parameters. This task includes determining the terrain p...

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