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izvor podataka: crosbi

The effect of soil sampling density and spatial autocorrelation on interpolation accuracy of chemical soil properties in arable cropland (CROSBI ID 301505)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Radočaj, Dorijan ; Jug, Irena ; Vukadinović, Vesna ; Jurišić, Mladen ; Gašparović, Mateo The effect of soil sampling density and spatial autocorrelation on interpolation accuracy of chemical soil properties in arable cropland // Agronomy, 11 (2021), 12; 2430, 15. doi: 10.3390/agronomy11122430

Podaci o odgovornosti

Radočaj, Dorijan ; Jug, Irena ; Vukadinović, Vesna ; Jurišić, Mladen ; Gašparović, Mateo

engleski

The effect of soil sampling density and spatial autocorrelation on interpolation accuracy of chemical soil properties in arable cropland

Knowledge of the relationship between soil sampling density and spatial autocorrelation with interpolation accuracy allows more time- and cost- efficient spatial analysis. Previous studies produced contradictory observations regarding this relationship, and this study aims to determine and explore under which conditions the interpolation accuracy of chemical soil properties is affected. The study area covered 823.4 ha of agricultural land with 160 soil samples containing phosphorus pentoxide (P2O5) and potassium oxide (K2O) values. The original set was split into eight subsets using a geographically stratified random split method, interpolated using the ordinary kriging (OK) and inverse distance weighted (IDW) methods. OK and IDW achieved similar interpolation accuracy regardless of the soil chemical property and sampling density, contrary to the majority of previous studies which observed the superiority of kriging as a deterministic interpolation method. The primary dependence of interpolation accuracy to soil sampling density was observed, having R2 in the range of 56.5–83.4% for the interpolation accuracy assessment. While this study enables farmers to perform efficient soil sampling according to the desired level of detail, it could also prove useful to professions dependent on field sampling, such as biology, geology, and mining.

spatial autocorrelation ; ordinary kriging ; inverse distance weighted ; prediction ; mapping

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Podaci o izdanju

11 (12)

2021.

2430

15

objavljeno

2073-4395

10.3390/agronomy11122430

Povezanost rada

Interdisciplinarne biotehničke znanosti, Interdisciplinarne tehničke znanosti, Poljoprivreda (agronomija)

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