Journal ArticleDOI
Multivariate geostatistical application for climate characterization of Minas Gerais State, Brazil
Luiz Gonsaga de Carvalho,Marcelo de Carvalho Alves,Marcelo Silva de Oliveira,Rubens Leite Vianello,Gilberto Chohaku Sediyama,Luis Marcelo Tavares de Carvalho +5 more
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TLDR
In this paper, the authors assess for Minas Gerais the cokriging methodology, in order to characterize the spatial variability of Thornthwaite annual moisture index, annual rainfall, and average annual air temperature, based on geographical coordinates, altitude, latitude, and longitude.Abstract:
The objective of the present study was to assess for Minas Gerais the cokriging methodology, in order to characterize the spatial variability of Thornthwaite annual moisture index, annual rainfall, and average annual air temperature, based on geographical coordinates, altitude, latitude, and longitude The climatic element data referred to 39 INMET climatic stations located in the state of Minas Gerais and in nearby areas and the covariables altitude, latitude, and longitude to the SRTM digital elevation model Spatial dependence of data was observed through spherical cross semivariograms and cross covariance models Box–Cox and log transformation were applied to the positive variables In these situations, kriged predictions were back-transformed and returned to the same scale as the original data Trend was removed using global polynomial interpolation Universal simple cokriging best characterized the climate variables without tendentiousness and with high accuracy and precision when compared to simple cokriging Considering the satisfactory implementation of universal simple cokriging for the monitoring of climatic elements, this methodology presents enormous potential for the characterization of climate change impact in Minas Gerais stateread more
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Journal ArticleDOI
Sampling design optimization of a wireless sensor network for monitoring ecohydrological processes in the Babao River basin, China
TL;DR: A geostatistical method for multivariate sampling design optimization, using a universal cokriging (UCK) model, is presented, demonstrating that the UCK model-based sampling method can consider the relationship of target variables and environmental covariates, and spatial auto- and cross-correlation of regression residuals, to obtain the optimal design in geographic space and attribute space simultaneously.
Journal ArticleDOI
Geostatistical improvements of evapotranspiration spatial information using satellite land surface and weather stations data
Marcelo de Carvalho Alves,Luiz Gonsaga de Carvalho,Rubens Leite Vianello,Gilberto Chohaku Sediyama,Marcelo Silva de Oliveira,Arionaldo de Sá Júnior +5 more
TL;DR: In this paper, a simple cokriging methodology was used to characterize the spatial variability of Penman-Monteith reference evapotranspiration and Thornthwaite potential evapOTranspiration methods based on Moderate Resolution Imaging Spetroradiometer (MODIS) global evapotspiration products and high-resolution surfaces of WordClim temperature and precipitation data.
Journal ArticleDOI
Applying the Technique of Image Classification to Climate Science: The Case of Andalusia (Spain)
José Gómez-Zotano,Jorge Alcántara-Manzanares,Emilio Martínez-Ibarra,José Antonio Olmedo-Cobo +3 more
TL;DR: An empirical climate classification method based on the application of multivariate statistics that displays greater objectivity, reliability, operability, accessibility and reproducibility than previous climate classifications devised for the region of Andalusia (Spain), taking into account that these previous classifications were not based on quantitative criteria.
Journal ArticleDOI
Correction model based ANN modeling approach for the estimation of radon concentrations in Ohio
Pavan Yerrabolu,Lakshman Mareddy,Deepak Bhatt,Priyanka Aggarwal,Ashok Kumar,Vijay Devabhaktuni +5 more
TL;DR: In this article, a new approach that improves the accuracy of the neural model with the help of sensitivity-based correction model for modeling and estimating radon concentrations in Ohio is proposed.
References
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Book
Crop evapotranspiration : guidelines for computing crop water requirements
TL;DR: In this paper, an updated procedure for calculating reference and crop evapotranspiration from meteorological data and crop coefficients is presented, based on the FAO Penman-Monteith method.
Book
Statistics for spatial data
Noel A Cressie,Noel A Cressie +1 more
TL;DR: In this paper, the authors present a survey of statistics for spatial data in the field of geostatistics, including spatial point patterns and point patterns modeling objects, using Lattice Data and spatial models on lattices.
Journal ArticleDOI
5. Statistics for Spatial Data
Mike Rees,N. Cressie +1 more
TL;DR: Cressie et al. as discussed by the authors presented the Statistics for Spatial Data (SDS) for the first time in 1991, and used it for the purpose of statistical analysis of spatial data.
Book
Geostatistics for natural resources evaluation
TL;DR: In this article, an advanced-level introduction to geostatistics and Geostatistical methodology is provided, including tools for description, quantitative modeling of spatial continuity, spatial prediction, and assessment of local uncertainty and stochastic simulation.