Citations with the tag: KRIGING
Results 1 - 50
- Application of particle methods to reliable identification of groundwater pollution sources
Dougherty, David E.; Bagtzoglou, Amvrossios C.; Tompson, Andrew F. B. B. Tompson // Water Resources Management; 1992, Vol. 6 Issue 1, p15
No abstract available.
- ‘Kriging and splines with derivative information’.
MARDIA, K. V.; KENT, J. T.; GOODALL, C. R.; LITTLE, J. A. // Biometrika; 1998, Vol. 85 Issue 2, p505
A correction to the article "Kriging and splines with derivative information" is presented.
- Multiresolution models for nonstationary spatial covariance functions.
Nychka, Douglas; Wikle, Christopher; Royle, J. Andrew // Statistical Modelling: An International Journal; 2002, Vol. 2 Issue 4, p315
Many geophysical and environmental problems depend on estimating a spatial process that has nonstationary structure. A nonstationary model is proposed based on the spatial field being a linear combination of multiresolution (wavelet) basis functions and random coefficients. The key is to allow...
- Geostatistical analysis of spatial variability of rainfall and optimal design of a rain gauge network
Metaxa, Irini G.; Papamichail, Dimitris M. // Water Resources Management; Apr1996, Vol. 10 Issue 2, p107
No abstract available.
- Preface to the special issue on spatial statistics for boundary and patch analysis.
Jacquez, G.; Fortin, M.-J.; Goovaerts, P. // Environmental & Ecological Statistics; Dec2008, Vol. 15 Issue 4, p365
The article discusses various reports published within this issue including one by W. H. Womble on geographic boundary, one by P. Goovaerts on kriging , and another one by K. Hall on habitat quality.
- Kriging Methodology for Regional Economic Analysis: Estimating the Housing Price in Albacete.
Martinez, Matias Gamez; Lorenzo, Jose Maria Montero; Rubio, Noelia Garcia // International Advances in Economic Research; Aug2000, Vol. 6 Issue 3, p438
Because of the socioeconomic importance of the housing subsector in the local, regional, and national economy and its implications for housing policy, this paper attempts to analyze the spatial behavior of the free housing price in the city of Albacete. To achieve this aim, the authors have used...
- Validating National Kriging Exposure Estimation.
Szpiro, Adam A.; Sheppard, Lianne; Sampson, Paul D.; Sun-Young Kim // Environmental Health Perspectives; Jul2007, Vol. 115 Issue 7, pA338
A letter to the editor is presented in response to the article â€œGIS approaches for the estimation of residential-level ambient PM concentrations,â€ D. Lao et al. in the vol. 114, 2006 issue.
- Estimating exposure using kriging: a simulation study
Wartenberg, D.; Coogan, P.; Uchrin, C. // Environmental Health Perspectives; Aug1991, Vol. 94, p75
No abstract available.
- Simulation of the Baltic Sea Shorelines in Estonia and Neighbouring Areas.
Saarse, Leili; Vassiljev, Jüri; Miidel, Avo // Journal of Coastal Research; Spring2003, Vol. 19 Issue 2, p261
Glacial retreat and the resulting isostatic land uplift together with the eustatic rise of sea level have determined the shore displacement around the Baltic Sea. Periods of damming and changes in the Baltic Sea outlet complicated the shoreline displacement at the end of the Late Weichselian and...
- Model to predict gyspy moth (Lepidoptera:Lymantriidae) defoliation using kriging and logistic regression
Liebhold, Andrew M.; Gribko, Linda S.; Hohn, Michael E. // Environmental Entomology; Jun1995, Vol. 24 Issue 3, p529
No abstract available.
- Comparison of kriging interpolation precision between grid sampling scheme and simple random sampling scheme for precision agriculture.
Jiang Houlong; Wang Daibin; Xu Chen; Liu Shuduan; Wang Hongfeng; Yang Chao; Li Najia; Chen Yiyin; Geng Lina // Eurasian Journal of Soil Science; Jan2016, Vol. 5 Issue 1, p62
Sampling methods are important factors that can potentially limit the accuracy of predictions of spatial distribution patterns. A 10 ha tobacco-planted field was selected to compared the accuracy in predicting the spatial distribution of soil properties by using ordinary kriging and cross...
- Geostatistical incorporation of spatial coordinates into supervised classification of hyperspectral data.
Goovaerts, P. // Journal of Geographical Systems; Apr2002, Vol. 4 Issue 1, p99
This paper presents a methodology to incorporate both hyperspectral properties and spatial coordinates of pixels in maximum likelihood classification. Indicator kriging of ground data is used to estimate, for each pixel, the prior probabilities of occurrence of classes which are then combined...
- The influence of sampling scheme and interpolation method on the power to detect spatial effects of forest birds in Ontario (Canada).
Robert S. Rempel; Robert S. Kushneriuk // Landscape Ecology; Nov2003, Vol. 18 Issue 8, p741
Abstract Spatial ecology is becoming an increasingly important component of resource management, and the general monitoring of how human activities affect the distribution and abundance of wildlife. Yet most work on the reliability of sampling strategies is based on a non-spatial analysis of...
- Improved soil monitoring by use of spatial patterns
Bringmark, E.; Bringmark, L. // AMBIO - A Journal of the Human Environment; Feb1998, Vol. 27 Issue 1, p45
Sampling in a soil monitoring plot should be representative, unbiased and allow for successive destruction of the plot. Kriging requires large numbers of samples to estimate the variogram and to satisfactorily cover the area. A sampling design that, at least partially, satisfies all these...
- Estimation of Precipitation by Kriging in the EOF Space of the Sea Level Pressure Field.
Biau, Gérard; Zorita, Eduardo; von Storch, Hans; Wackernagel, Hans // Journal of Climate; 4/1/99, Vol. 12 Issue 4, p1070
The term downscaling denotes a procedure in which local climatic information is derived from large-scale climate parameters. In this paper, the possibility of using as downscaling procedure a geostatistical interpolation technique known as kriging is explored. The authors present an example of...
- Kriging and Semivariogram Deconvolution inÃ‚Â theÃ‚Â Presence of Irregular Geographical Units.
Pierre Goovaerts // Mathematical Geosciences; Jan2008, Vol. 40 Issue 1, p101
AbstractÃ‚Â Ã‚Â This paper presents a methodology to conduct geostatistical variography and interpolation on areal data measured over geographical units (or blocks) with different sizes and shapes, while accounting for heterogeneous weight or kernel functions within those units. The...
- Determination of Semivariogram Models to Krige Hourly and Daily Solar Irradiance in Western Nebraska.
Merino, G.G.; Jones, D.; Stooksbury, D.E.; Hubbard, K.G. // Journal of Applied Meteorology; Jun2001, Vol. 40 Issue 6
Examines the capability of a network of weather stations in western Nebraska to estimate by kriging, hourly and daily solar radiation at any point within the region covered by the network. Semivariogram models applicable for kriging; Comparison of the performance between linear and spherical...
- Professor D.G. Krige (1919—2013): A Founding Member of the International Association ofÂ Mathematical Geosciences.
Minnitt, R. C. A.; Assibey-Bonsu, W. // Mathematical Geosciences; Nov2013, Vol. 45 Issue 8, p1021
An obituary for professor D. G. Krige, also the founding member of the International Association of Mathematical Geosciences, is presented.
- DANIEL G. KRIGE.
Minnitt, R. C. A.; Assibey-Bonsu, W. // Mining Engineering; Jun2013, Vol. 65 Issue 6, p83
An obituary for professor of mineral economics Daniel G. Krige is presented.
- Geostatistics for Environmental Applications.
Gómez-Hernández, J. // Mathematical Geosciences; Jan2016, Vol. 48 Issue 1, p1
An introduction is presented in which the editor discusses various reports within the issue on topics including how coordinate system used to reference a regionalized variable may impact the type of geostatistical model to use, the prediction of radioactive contamination induced by deep...
- Estimating spatial distribution of daily snow depth with kriging methods: combination of MODIS snow cover area data and ground-based observations.
Huang, C. L.; Wang, H. W.; Hou, J. L. // Cryosphere Discussions; 2015, Vol. 9 Issue 5, p4997
Accurately measuring the spatial distribution of the snow depth is difficult because stations are sparse, particularly in western China. In this study, we develop a novel scheme that produces a reasonable spatial distribution of the daily snow depth using kriging interpolation methods. These...
- Testing the correctness of the sequential algorithm for simulating Gaussian random fields.
Emery, Xavier // Stochastic Environmental Research & Risk Assessment; Dec2004, Vol. 18 Issue 6, p401
The sequential algorithm is widely used to simulate Gaussian random fields. However, a rigorous application of this algorithm is impractical and some simplifications are required, in particular a moving neighborhood has to be defined. To examine the effect of such restriction on the quality of...
- Kriging and mapping of copper, lead, and mercury contents in surfacesoil in Shenzhen area
Tao, S. // Water, Air & Soil Pollution; Jul1995, Vol. 83 Issue 1/2, p161
No abstract available.
- Comparison of Groundwater Level Estimation Using Neuro-fuzzy and Ordinary Kriging.
Kholghi, M.; Hosseini, S. // Environmental Modeling & Assessment; Dec2009, Vol. 14 Issue 6, p729
Water level in aquifer plays the main role in groundwater modeling as one of the input data. In practice, due to aspects of time and cost, data monitoring of water levels is conducted at a limited number of sites, and interpolation technique such as kriging is widely used for estimation of this...
- Application of Indicator kriging to Evaluate the Probability of Exceeding Nitrate Contamination Thresholds.
Piccini, C.; Marchetti, A.; Farina, R.; Francaviglia, R. // International Journal of Environmental Research; Autumn2012, Vol. 6 Issue 4, p853
Nitrate contamination is one of the main risks for groundwater in agricultural areas. The evaluation of the effect of agricultural practices on groundwater nitrate concentration, especially in highly sensitive areas, is crucial for a correct land planning, and a good agronomic intervention...
- Building on crossvalidation for increasing the quality of geostatistical modeling.
Olea, Ricardo // Stochastic Environmental Research & Risk Assessment; Jan2012, Vol. 26 Issue 1, p73
The random function is a mathematical model commonly used in the assessment of uncertainty associated with a spatially correlated attribute that has been partially sampled. There are multiple algorithms for modeling such random functions, all sharing the requirement of specifying various...
- Spatial prediction of soil properties in a watershed scale through maximum likelihood approach.
Santra, Priyabrata; Das, Bhabani; Chakravarty, Debashish // Environmental Earth Sciences; Apr2012, Vol. 65 Issue 7, p2051
Surface map of soil properties plays an important role in various applications in a watershed. Ordinary kriging (OK) and regression kriging (RK) are conventionally used to prepare these surface maps but generally need large number of regularly girded soil samples. In this context, REML-EBLUP...
- EvaluaciÃ³n de la precisiÃ³n vertical de un modelo de elevaciÃ³n digital.
Quesada, Marvin E.; Marsik, Matt // Revista CartogrÃ¡fica; 2006, Issue 82, p137
This study investigates the vertical accuracy of eight DEMs interpolated from 1:50,000 contours with universal kriging (UK) using DEMs interpolated from 1:10,000 contours as the independent source of higher accuracy. The geographical area modeled by the DEMS is located in a sector of the central...
- Regional frequency analysis of autumnal floods in the province of Quebec, Canada.
Martel, B.; Ouarda, T.; Barbet, M.; Bruneau, P.; Latraverse, M.; Kamali Nezhad, M. // Natural Hazards; Nov2011, Vol. 59 Issue 2, p681
A large number of models have been proposed over the last years for regional flood frequency analysis in northern regions. However, these models dealt generally with snowmelt-caused spring floods. This paper deals with the adaptation, application, and comparison of two regional frequency...
- SURFIS: a tool for designing and optimizing dredging schemes
Houwing, E.-J.; Fioole, A.; van der Heijdt, L. M. // Water Science & Technology; 1998, Vol. 37 Issue 6/7, p103
Digital Terrain Models (DTM) can be useful tools for the design and evaluation of dredging operations. Nevertheless, DTM's based on linear interpolation of data from a rectangular grid do not provide confidence intervals for unsampled locations. SURFIS is a computer program to develop DTM's that...
- A Kriging Approach to the Analysis of Climate Model Experiments.
Drignei, Dorin // Journal of Agricultural, Biological & Environmental Statistics (; Mar2009, Vol. 14 Issue 1, p99
The article discusses the use of a multidimensional kriging method, called an atmosphere ocean general circulation model (AOGCM), to analyze climate model experiments. The method was used to analyze a computer experiment with the Massachusetts Institute of Technology (MIT) two-dimensional (2D)...
- The Plaza's point man.
Fickenscher, Lisa // Crain's New York Business; 9/17/2007, Vol. 23 Issue 38, p41
This article presents information related to Shane Krige, general manager of the hotel The Plaza in New York City. It is stated that in the frantic months before The Plaza reopens, Krige is logging 15-hour days to ensure the hotel's place among the handful of five-star properties in the city....
- Application of Geostatistical Models for Estimating Spatial Variability of Rock Depth.
Samui, Pijush; Sitharam, Thallak G. // Engineering; Sep2011, Vol. 3 Issue 9, p886
Rock depth information of a site is a significant factor for geotechnical engineering and earthquake ground response analysis. In this paper, reduced level of rock at Bangalore is arrived from the 652 boreholes in the area covering 220 kmÂ². Geostatistical modeling based on kriging (simple and...
- Geospatial Modeling of Wine Grape Quality Indicators (Anthocyanin) for Development of Differential Wine Grape Harvesting Technology.
Sethuramasamyraja, Balaji; Sachidhanantham, Sivakumar; Wample, Robert // International Journal of Geomatics & Geosciences; 2010, Vol. 1 Issue 3, p372
Segregation of wine grapes based on quality during harvest is a growing need for producers and wineries as spatial variability of vineyard quality is well established. While wine grape quality indicators like anthocyanin (mg/g) are measurable, there is no commercial technology to differentially...
- Spatial Interpolation of Two-Wavelengths Bio-Optical Models to Estimate the Concentration of Chlorophyll-a in A Tropical Aquatic System.
Ogashawara, Igor; de Alcântara, Enner Herenio; Augusto-Silva, Pétala Bianchi; Barbosa, Claudio Clemente Faria; Stech, José Luiz // Environment & Pollution; Jul2013, Vol. 2 Issue 3, p52
Bio-optical models have been used to estimate and map the concentration of chlorophyll-a (chl-a) in aquatic systems. Bio-optical models' algorithms try to infer the concentration of optically active components in water from their inherent optical properties (IOPs). We proposed the use of two...
- Light field modelling and interpolation using Kriging techniques.
Huang, Z; Sanderson, A // Lighting Research & Technology; Apr2014, Vol. 46 Issue 2, p219
This paper describes the application of Kriging techniques to the interpolation of light field models that include both three-dimensional spatial variation as well as angular directional information. In general illumination applications, this representation of the light field raises the...
- Preparation of frost atlas using different interpolation methods in a semiarid region of south of Iran.
Didari, Shohre; Zand-Parsa, Shahrokh; Sepaskhah, Ali; Kamgar-Haghighi, Ali; Khalili, Davar // Theoretical & Applied Climatology; Mar2012, Vol. 108 Issue 1/2, p159
In this research, suitability of different kriging and inverse distance weighted ( IDW) methods in estimating occurrence date of frost was evaluated. Data included minimum daily air temperature values from 27 meteorological stations of Fars province in southern Iran from 18 to 45 years. Data...
- Spatial Variability of Groundwater Quality and its Relationship with Pistachio Yield in Anar Region, Iran.
Hosseinifard, J.; Salehi, M. H.; Esfandiarpour, I.; Mohammadi, J. // Journal of Applied Sciences; 2008, Vol. 8 Issue 20, p3697
This study was conducted to examine the spatial variability of some groundwater quality factors and to determine their relationship with pistachio yield in pistachio growing areas of Anar, Iran. One hundred and fifty seven water samples from the wells of the studied area were determined for...
- Using stable hydrogen and oxygen isotope measurements of feathers to infer geographical origins of migrating European birds.
Hobson, Keith; Bowen, Gabriel; Wassenaar, Leonard; Ferrand, Yves; Lormee, Hervé // Oecologia; Nov2004, Vol. 141 Issue 3, p477
Successful application of stable-hydrogen isotope measurements (dDf) of feathers to track origins of migratory birds and other wildlife requires a fundamental understanding of the correlation between dDf and deuterium patterns in rainfall (dDp) over continental scales. A strong correlation...
- Bathymetry and geographical regionalization of Brepollen (Hornsund, Spitsbergen) based on bathymetric profiles interpolations.
Moskalik, Mateusz; Grabowiecki, Piotr; Tęgowski, Jarosław; Żulichowska, Monika // Polish Polar Research; 2013, Vol. 34 Issue 1, p1
The article presents a study which investigates bathymetry and geographical regionalization of the Brepollen area in Hornsund, Spitsbergen Island, Norway, based on bathymetric profiles interpolations. Traditional single-beam echosounders were used for bathymetry profiling. A comparison of the...
- Multiple-Point Variance Analysis for Optimal Adjustment of a Monitoring Network.
Lin, Yu-Pin; Rouhani, Shaharokh // Environmental Monitoring & Assessment; Jul2001, Vol. 69 Issue 3, p239
The selection of sampling sites is one of the major tasks in the design of a monitoring network. Many environmental networks suffer from either insufficient information or redundant information. This study presents a new, effective algorithm that addresses the issues of insufficient and...
- Spatial Variability of Soil Fertility Properties for Precision Agriculture in Southern Iran.
Yasrebi, Jafar; Saffari, Mahboub; Fathi, Hamed; Karimian, Najafali; Emadi, Mostafa; Baghemejad, Majid // Journal of Applied Sciences; 2008, Vol. 8 Issue 9, p1642
The objective of this study was to determine the degree of spatial variability of soil chemical properties, soil texture and variance structure. Spatial distributions for 13 soil chemical properties and soil texture were examined in a fallow land in Bajgah, Fars province, Iran. Soil samples were...
- Spatial information of soil hydraulic conductivity and performance of cokriging over kriging in a semi-arid basin scale.
Basaran, Mustafa; Erpul, G.; Ozcan, A.; Saygin, D.; Kibar, M.; Bayramin, I.; Yilman, F. // Environmental Earth Sciences; Jun2011, Vol. 63 Issue 4, p827
Unlike the studies in small parcels by systematic measurements, the spatial variability of soil properties is expected to increase in those over relatively large areas or scales. Spatial variability of soil hydraulic conductivity ( K) is of significance for the environmental processes, such as...
- Machine learning for the analysis of indoor radon distribution, compared with ordinary kriging.
Pegoretti, S.; Verdi, L. // Radiation Protection Dosimetry; Dec2009, Vol. 137 Issue 3/4, p324
Having a reliable forecasting tool is necessary to correctly identify radon prone areas, especially in cases where the variable of interest is the indoor radon concentration. An appropriate characterisation of the features of the buildings becomes fundamental. In this work, the results obtained...
- A Comparison among Strategies for Interpolating Maximum and Minimum Daily Air Temperatures. Part II: The Interaction between Number of Guiding Variables and the Type of Interpolation Method.
Jarvis, Claire H.; Stuart, Neil // Journal of Applied Meteorology; Jun2001, Vol. 40 Issue 6
Investigates the balance between improving interpolation accuracies by means of additional guiding variables as compared with the use of mathematically sophisticated interpolation algorithms such as partial thin plate splines, ordinary kriging, trend surface analysis and automatic...
- Application of Kriging with Omni Directional Variogram to Finding the Direction of Anisotropy Axes.
Kushavand, B.; Aghababei, H.; Alizadeh, B. // Journal of Applied Sciences; 2007, Vol. 7 Issue 4, p589
Detecting anisotropy direction is one of the basic steps at variography and estimation by Kriging. A display that quickly reveals directional anisotropies is a contour map of the sample variogram surface. Contour maps of the variogram surface from primary data are not commonly used in practice....
- Evaluation of Agricultural Soil Fertility Using Ordinery Kriging.
Ashraf, Shahram // Advances in Environmental Biology; Sep2011, Vol. 5 Issue 10, p3145
The present paper attempts to identify the spatial patterns of effective factors on soil fertility in the Damghan site of Iran. Fifty four soil samples were collected from an area of 1440 ha and analyzed for Organic Carbon (OC), Nitrogen(N), Available Phosphorus (AP), Available potassium (AK)...
- The influence of artificial cutoff on a monitoring system and the water quality of the Keelung River.
Lo, S.L.; Kuo, J.T.; Wang, S.M. // Water Science & Technology; 2002, Vol. 46 Issue 11/12, p231
Presents a study designed to create a water quality monitoring network for the Keelung River in order to evaluate the effects of artificial cutoff across two bend channels. Use of a steady-state water quality model to simulate the BOD and DO curves; Application of the Kriging theory was...
- A novel method for determining the anisotropy of geophysical parameters: unit range variation increment (URVI).
Cao, Yun-Meng; Li, Zhi-Wei; Wei, Jian-Chao; Zhan, Wen-Jun; Zhu, Jian-Jun; Wang, Chang-Cheng // Applied Geophysics: Bulletin of Chinese Geophysical Society; Sep2014, Vol. 11 Issue 3, p340
Geometric anisotropy is commonly assumed in the investigation of the spatial variations of geophysical parameters. However, this assumption is not always satisfied in practice. We propose a novel method to determine the anisotropy of geophysical parameters. In the proposed method, the variograms...
- Geostatistical interpolators for the estimation of the geometry of anthropogenic deposits in Rome (Italy) and related physical-mechanical characterization with implications on geohazard assessment.
Ciotoli, Giancarlo; Stigliano, Francesco; Mancini, Marco; Marconi, Fabrizio; Moscatelli, Massimiliano; Cavinato, Gian // Environmental Earth Sciences; Aug2015, Vol. 74 Issue 3, p2635
The role played by the anthropogenic deposits with poor geotechnical characteristics to induce seismic amplification and its influence on hydrogeological conditions, due to its permeability characteristics, has been demonstrated by numerous studies conducted in urban environments. The historical...