Content area
The paper proposes a geostatistical framework to solve the issues of heterogeneous support for spatial estimation. Apparent soil electrical conductivity (ECa) was measured in a field cropped with San Marzano tomato using a multiple frequency electromagnetic profiler with 6 operating frequencies. Mixed support kriging was used to estimate ECa taking into account the change of support. The method includes punctual kriging with the error being the dispersion variance associated with each frequency. The individual ECa maps were weighted by the dispersion variance to obtain a map which was used for field partition in management zones.
Details
Subject
Software;
Geophysics;
Data analysis;
Geostatistics;
Diamonds;
Methods;
Datasets;
Mining;
Spatial data;
Studies;
Sensors;
Mathematical analysis;
Alluvial deposits;
Rivers;
Electrical resistivity;
Computer vision;
Vertical orientation;
Remote sensing;
Pixels;
Metallurgy;
Agronomy;
Mathematical models;
Information processing;
Geographic information systems;
Soil conductivity;
Statistics;
Matrices (mathematics);
Functions (mathematics);
Agricultural management;
Temporal distribution;
Skin;
Statistical analysis;
Water content;
Data processing;
Computer programs;
Applied statistics;
Documentation;
Methodology;
Alluvial plains;
Probability theory;
Remote sensors;
Mines;
Electrical conductivity;
Soils;
Tomatoes
Geophysics;
Data analysis;
Geostatistics;
Diamonds;
Methods;
Datasets;
Mining;
Spatial data;
Studies;
Sensors;
Mathematical analysis;
Alluvial deposits;
Rivers;
Electrical resistivity;
Computer vision;
Vertical orientation;
Remote sensing;
Pixels;
Metallurgy;
Agronomy;
Mathematical models;
Information processing;
Geographic information systems;
Soil conductivity;
Statistics;
Matrices (mathematics);
Functions (mathematics);
Agricultural management;
Temporal distribution;
Skin;
Statistical analysis;
Water content;
Data processing;
Computer programs;
Applied statistics;
Documentation;
Methodology;
Alluvial plains;
Probability theory;
Remote sensors;
Mines;
Electrical conductivity;
Soils;
Tomatoes
Location
Identifier / keyword
Title
A geostatistical approach for modelling and combining spatial data with different support
Author
Advances in Animal Biosciences; Cambridge
Volume
8
Issue
2
Source details
Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16-20 2017
Pages
594-599
Number of pages
6
Publication year
2017
Publication date
Jul 2017
Place of publication
Cambridge
Country of publication
United Kingdom
Publication subject
ISSN
20404700
e-ISSN
20404719
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
1904073466
Document URL
https://www.proquest.com/scholarly-journals/geostatistical-approach-modelling-combining/docview/1904073466/se-2?accountid=208611
Copyright
© The Animal Consortium 2017
Last updated
2025-01-07
Database
ProQuest One Academic