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Continuous Time-Varying Kriging for Spatial Prediction of Functional Data: An Environmental Application
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Continuous Time-Varying Kriging for Spatial Prediction of Functional Data: An Environmental Application (2010)Continuous Time-Varying Kriging for Spati…Multivariable geostatistics in S: the gstat package (2004)Multivariable geostatistics i…Geographically Weighted Regression (1998)Geographically Weighted Regre…Geographically weighted regression - modelling spatial non-stationarity (1998)Geographically weighted regre…Statistics for Spatial Data (1993)Statistics for Spatial DataMultivariable spatial prediction (1993)Multivariable spatial predict…Kriging with external drift for functional data for air quality monitoring (2013)Kriging with external drift f…STATISTICS FOR SPATIAL DATA (1992)Statistics for Spatial Data (1994)A Hierarchical Approach to Multivariate Spatial Modeling and Prediction (1999)Flexible Spatial Models for Kriging and Cokriging Using Moving Averages and the Fast Fourier Transform (FFT) (2004)A universal kriging approach for spatial functional data (2013)An Introduction to Applied Geostatistics (1991)Interpolation of Spatial Data (1999)DiceKriging , DiceOptim : Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization (2012)GWmodel : An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models (2015)Spatio-Temporal Interpolation using gstat (2016)Statistics for spatial functional data: some recent contributions (2009)Spatio-temporal modeling of particulate matter concentration through the SPDE approach (2012)Spatial Panel Econometrics (2008)Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices (2010)The effect of urbanization on environmental pollution in rapidly developing urban agglomerations (2019)Methods to account for spatial autocorrelation in the analysis of species distributional data: a review (2007)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)Geographically weighted principal components analysis (2011)Mapping the results of local statistics (2012)The relationship between tree canopy and crime rates across an urban–rural gradient in the greater Baltimore region (2012)
this work references cited by second hop

References

  • 1993Statistics for Spatial Data6,517 cited
  • 2004Multivariable geostatistics in S: the gstat package3,015 cited
  • 1998Geographically Weighted Regression1,589 cited
  • 1998Geographically weighted regression - modelling spatial non-stationarity353 cited
  • 1993Multivariable spatial prediction172 cited

Cited by

  • 2013Kriging with external drift for functional data for air quality monitoring80 cited

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