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Abbreviation : IK
Long Form : indicator kriging
No. Year Title Co-occurring Abbreviation
2019 Rice yield estimation based on forecasting the future condition of groundwater salinity in the Caspian coastal strip of Guilan Province, Iran. EC, OK
2018 Heavy Metal Pollution Delineation Based on Uncertainty in a Coastal Industrial City in the Yangtze River Delta, China. NIPI, OK, PI
2018 Spatial analysis of the risk to human health from exposure to arsenic contaminated groundwater: A kriging approach. OK
2018 Spatial dynamic assessment of health risks for urban river cruises. E. coli, IR, MCS, QMRA
2018 [Spatial Interpolation Methods and Pollution Assessment of Heavy Metals of Soil in Typical Areas]. Cd, IDW, LPI, OK, RBF
2016 Analysis of field-scale spatial correlations and variations of soil nutrients using geostatistics. AN, AP, OK, SCA
2016 Using probability-based spatial estimation of the river pollution index to assess urban water recreational quality in the Tamsui River watershed. RPI
2015 Evaluation of geostatistical estimators and their applicability to characterise the spatial patterns of recreational fishing catch rates. ---
2015 Probability-based classifications for spatially characterizing the water temperatures and discharge rates of hot springs in the Tatun Volcanic Region, Taiwan. BT, DBT, LSK, MC, XYK, XYR, ZSL
10  2014 Applications of stochastic models and geostatistical analyses to study sources and spatial patterns of soil heavy metals in a metalliferous industrial district of China. CIT, FMDM, MVIK
11  2014 Cost-effective mapping of benthic habitats in inland reservoirs through split-beam sonar, indicator kriging, and historical geologic data. ---
12  2013 A spatial, statistical approach to map the risk of milk contamination by β-hexachlorocyclohexane in dairy farms. beta-HCH, LR
13  2013 Spatial multi-scale variability of soil nutrients in relation to environmental factors in a typical agricultural region, eastern China. FKA, LMC, OC, TN, TP
14  2011 Application of geostatistics with Indicator Kriging for analyzing spatial variability of groundwater arsenic concentrations in Southwest Bangladesh. FI-HG-AAS, GLM
15  2011 Hotspot analysis of spatial environmental pollutants using kernel density estimation and geostatistical techniques. KDE, SIS
16  2010 Geostatistical modeling of the spatial variability and risk areas of southern root-knot nematodes in relation to soil properties. RKN, SL, SSM
17  2009 A spatial approach to environmental risk assessment of PAH contamination. PAHs, SGS
18  2009 Determining the probability of arsenic in groundwater using a parsimonious model. LR
19  2005 Spatial variability of shallow groundwater level, electrical conductivity and nitrate concentration, and risk assessment of nitrate contamination in North China Plain. EC, NCP, OK
20  2004 Using sequential indicator simulation to assess the uncertainty of delineating heavy-metal contaminated soils. ccdf, SIS