Contextualized geographically weighted principal components analysis for investigating baseline soils data on the North Wyke Farm Platform

P. Harris; N. J K Howden; S. Peukert; V. Noacco; K. Ramezani; E. Tuominen; B. Eludoyin; R. Brazier; A. Shepherd; B. Griffith; R. Orr; P. Murray

Contextualized geographically weighted principal components analysis for investigating baseline soils data on the North Wyke Farm Platform

P. Harris, N. J K Howden, S. Peukert, V. Noacco, K. Ramezani, E. Tuominen, B. Eludoyin, R. Brazier, A. Shepherd, B. Griffith, R. Orr, P. Murray

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Abstract

The UK's North Wyke Farm Platform (NWFP) for sustainable grassland farming is set up as a large agriculture modelling system of 15 hydrologically-isolated catchments, where in each catchment, water chemistry, precipitation and soil moisture data are continuously monitored. This spatio-temporal data are then interrogated with respect to climatic timings and changes in crop, livestock and farm management, across the NWFP. Complementary data sets are also found via spatial field surveys, remote sensing and greenhouse gas studies. This study focuses on one such field survey, consisting of soils data at 495 sites. We spatially explore this data using a geographically weighted principal components analysis, where we provide a novel adaptation of the technique to deal with the distinctly partitioned nature of the data, which is collected across 20 fields, spread over the 15 catchments.

Original language	English
Title of host publication	Proceedings of the 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014
Publisher	Capital Publishing Company
Pages	376-378
Number of pages	3
ISBN (Print)	9789381891254
Publication status	Published - 2014
Event	16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014 - New Delhi, India Duration: 17 Oct 2014 → 20 Oct 2014

Conference

Conference	16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014
Country/Territory	India
City	New Delhi
Period	17/10/14 → 20/10/14

Keywords

Grasslands
Livestock production
Local models
Non-stationarity

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Harris, P., Howden, N. J. K., Peukert, S., Noacco, V., Ramezani, K., Tuominen, E., Eludoyin, B., Brazier, R., Shepherd, A., Griffith, B., Orr, R., & Murray, P. (2014). Contextualized geographically weighted principal components analysis for investigating baseline soils data on the North Wyke Farm Platform. In Proceedings of the 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014 (pp. 376-378). Capital Publishing Company.

Harris, P. ; Howden, N. J K ; Peukert, S. et al. / Contextualized geographically weighted principal components analysis for investigating baseline soils data on the North Wyke Farm Platform. Proceedings of the 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014. Capital Publishing Company, 2014. pp. 376-378

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title = "Contextualized geographically weighted principal components analysis for investigating baseline soils data on the North Wyke Farm Platform",

abstract = "The UK's North Wyke Farm Platform (NWFP) for sustainable grassland farming is set up as a large agriculture modelling system of 15 hydrologically-isolated catchments, where in each catchment, water chemistry, precipitation and soil moisture data are continuously monitored. This spatio-temporal data are then interrogated with respect to climatic timings and changes in crop, livestock and farm management, across the NWFP. Complementary data sets are also found via spatial field surveys, remote sensing and greenhouse gas studies. This study focuses on one such field survey, consisting of soils data at 495 sites. We spatially explore this data using a geographically weighted principal components analysis, where we provide a novel adaptation of the technique to deal with the distinctly partitioned nature of the data, which is collected across 20 fields, spread over the 15 catchments.",

keywords = "Grasslands, Livestock production, Local models, Non-stationarity",

author = "P. Harris and Howden, {N. J K} and S. Peukert and V. Noacco and K. Ramezani and E. Tuominen and B. Eludoyin and R. Brazier and A. Shepherd and B. Griffith and R. Orr and P. Murray",

year = "2014",

language = "English",

isbn = "9789381891254",

pages = "376--378",

booktitle = "Proceedings of the 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014",

publisher = "Capital Publishing Company",

note = "16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014 ; Conference date: 17-10-2014 Through 20-10-2014",

}

Harris, P, Howden, NJK, Peukert, S, Noacco, V, Ramezani, K, Tuominen, E, Eludoyin, B, Brazier, R, Shepherd, A, Griffith, B, Orr, R & Murray, P 2014, Contextualized geographically weighted principal components analysis for investigating baseline soils data on the North Wyke Farm Platform. in Proceedings of the 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014. Capital Publishing Company, pp. 376-378, 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014, New Delhi, India, 17/10/14.

Contextualized geographically weighted principal components analysis for investigating baseline soils data on the North Wyke Farm Platform. / Harris, P.; Howden, N. J K; Peukert, S. et al.
Proceedings of the 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014. Capital Publishing Company, 2014. p. 376-378.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Contextualized geographically weighted principal components analysis for investigating baseline soils data on the North Wyke Farm Platform

AU - Harris, P.

AU - Howden, N. J K

AU - Peukert, S.

AU - Noacco, V.

AU - Ramezani, K.

AU - Tuominen, E.

AU - Eludoyin, B.

AU - Brazier, R.

AU - Shepherd, A.

AU - Griffith, B.

AU - Orr, R.

AU - Murray, P.

PY - 2014

Y1 - 2014

N2 - The UK's North Wyke Farm Platform (NWFP) for sustainable grassland farming is set up as a large agriculture modelling system of 15 hydrologically-isolated catchments, where in each catchment, water chemistry, precipitation and soil moisture data are continuously monitored. This spatio-temporal data are then interrogated with respect to climatic timings and changes in crop, livestock and farm management, across the NWFP. Complementary data sets are also found via spatial field surveys, remote sensing and greenhouse gas studies. This study focuses on one such field survey, consisting of soils data at 495 sites. We spatially explore this data using a geographically weighted principal components analysis, where we provide a novel adaptation of the technique to deal with the distinctly partitioned nature of the data, which is collected across 20 fields, spread over the 15 catchments.

AB - The UK's North Wyke Farm Platform (NWFP) for sustainable grassland farming is set up as a large agriculture modelling system of 15 hydrologically-isolated catchments, where in each catchment, water chemistry, precipitation and soil moisture data are continuously monitored. This spatio-temporal data are then interrogated with respect to climatic timings and changes in crop, livestock and farm management, across the NWFP. Complementary data sets are also found via spatial field surveys, remote sensing and greenhouse gas studies. This study focuses on one such field survey, consisting of soils data at 495 sites. We spatially explore this data using a geographically weighted principal components analysis, where we provide a novel adaptation of the technique to deal with the distinctly partitioned nature of the data, which is collected across 20 fields, spread over the 15 catchments.

KW - Grasslands

KW - Livestock production

KW - Local models

KW - Non-stationarity

UR - http://www.scopus.com/inward/record.url?scp=84957964605&partnerID=8YFLogxK

M3 - Conference Contribution (Conference Proceeding)

AN - SCOPUS:84957964605

SN - 9789381891254

SP - 376

EP - 378

BT - Proceedings of the 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014

PB - Capital Publishing Company

T2 - 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014

Y2 - 17 October 2014 through 20 October 2014

ER -

Harris P, Howden NJK, Peukert S, Noacco V, Ramezani K, Tuominen E et al. Contextualized geographically weighted principal components analysis for investigating baseline soils data on the North Wyke Farm Platform. In Proceedings of the 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014. Capital Publishing Company. 2014. p. 376-378

Contextualized geographically weighted principal components analysis for investigating baseline soils data on the North Wyke Farm Platform

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Keywords

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