The differences in the interpolation methods for mapping spatial variability of soil properties

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F01%3A00002346" target="_blank" >RIV/60460709:41210/01:00002346 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The differences in the interpolation methods for mapping spatial variability of soil properties

Popis výsledku v původním jazyce

In this study kriging and inverse distance weighting methods were used to compare their performance. Ordinary kriging with the default linear variogram and with the modelled variogram were implemented. Inverse distance weighting method with powers p=1, 2, and 4 was used. Two data sets of high sampling density on the field of an area of 54 ha with a higher and a lower variability were used in the comparison. The results show that the choice of the interpolation method for characterizing the spatial heterogeneity of the soil properties does affect the resulting map. Kriging with the modelled variogram produce smoothed maps, while kriging with the default linear variogram show all levels of the measured values. Inverse distance weighting method tends to generate maps with a pattern of round areas, which size is strongly dependent on the used value of the power p.

Název v anglickém jazyce

The differences in the interpolation methods for mapping spatial variability of soil properties

Popis výsledku anglicky

In this study kriging and inverse distance weighting methods were used to compare their performance. Ordinary kriging with the default linear variogram and with the modelled variogram were implemented. Inverse distance weighting method with powers p=1, 2, and 4 was used. Two data sets of high sampling density on the field of an area of 54 ha with a higher and a lower variability were used in the comparison. The results show that the choice of the interpolation method for characterizing the spatial heterogeneity of the soil properties does affect the resulting map. Kriging with the modelled variogram produce smoothed maps, while kriging with the default linear variogram show all levels of the measured values. Inverse distance weighting method tends to generate maps with a pattern of round areas, which size is strongly dependent on the used value of the power p.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

GD - Hnojení, závlahy, zpracování půdy

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2001

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Rostlinná výroba (Plant Production)

ISSN

0370-663X

e-ISSN

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Svazek periodika

47

Číslo periodika v rámci svazku

12

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

7

Strana od-do

529-535

Kód UT WoS článku

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EID výsledku v databázi Scopus

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