Systematic Evaluation of Kriging and Inverse Distance Weighting Methods for Spatial Analysis of Soil Bulk Density.

Sajid, A.H.; Rudra, R.P.; Parkin, G.

doi:10.7451/cbe.2013.55.1

Cited by 5 publications

(2 citation statements)

References 39 publications

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“…Silva et al (2011) evaluated interpolating monthly precipitation in the State of Espírito Santo, where OK method showed the best estimates. By evaluating geostatistical interpolation analysis of the spatial distribution of annual precipitation, Carvalho et al (2012) obtained more accurate estimates for the OK interpolation, however, Sajid et al (2013) evaluated the performance of two widely used interpolators, OK and IDW, for spatial interpolation of measured soil bulk density, where the best performance for the IDW were obtained.…”

Section: Introductionmentioning

confidence: 99%

“…Not much information regarding the comparison of interpolation in pest insects is found in the literature and there is no information for the species O. poecilus and O. ypsilongriseus. The selection of an appropriate method of interpolation is essential to obtain reliable spatial maps (Mello et al, 2003;Silva et al, 2011;Sajid et al, 2013). Thus, the objective of this study was to identify the interpolation method with the best performance in the spatial distribution of population density of O. poecilus and O. ypsilongriseus in irrigated rice.…”

Section: Introductionmentioning

confidence: 99%

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Interpolators in predicting the estimated population density of Oebalus spp.

Pasini¹,

Lúcio²,

Filho³

et al. 2019

Agraria

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The objective of this study was to compare interpolation methods of ordinary kriging and inverse distance weighted applied to the spatial distribution of Oebalus poecilus and Oebalus ypsinolgriseus population densities in irrigated rice. In two crops, it was generated a grid of 30 x 30 m sampling, termed Area 1 and Area 2 with 39 and 192 sampling units (1 m 2 , corresponding to 200 rice plants), respectively. Seven evaluations were carried out from sowing to harvesting. In these areas, O. poecilus and O. ypsilongriseus adults were quantified and the sum of each species was used for analysis. Values were submitted to the ordinary kriging interpolation and inverse distance weighted for different semivariogram models, in which the cross-validation technique was used for defining the best interpolator. The ordinary kriging interpolation method showed a better performance than the method of inverse distance weighted applied in the spatial distribution of population density of O. poecilus in rice cultivation. O. ypsilongriseus could not generate estimates for comparison.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%