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; Anita Shepherd; B. Griffith; R. Orr; P. Murray

doi:10.1007/978-3-319-18663-4_99

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, Anita Shepherd, B. Griffith, R. Orr, P. Murray

Aberdeen Centre For Environmental Sustainability

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

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	Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment
Subtitle of host publication	Challenges, Processes and Strategies
Editors	N. Janardhana Raju
Publisher	Springer
Pages	651-655
Number of pages	5
ISBN (Electronic)	9783319186634
ISBN (Print)	9783319186627
DOIs	https://doi.org/10.1007/978-3-319-18663-4_99
Publication status	Published - 2016
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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10.1007/978-3-319-18663-4_99Licence: Unspecified

Cite this

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. (2016). Contextualized geographically weighted principal components analysis for investigating baseline soils data on the North Wyke Farm Platform. In N. J. Raju (Ed.), Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies (pp. 651-655). Article 99 Springer . https://doi.org/10.1007/978-3-319-18663-4_99

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.
Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies. ed. / N. Janardhana Raju. Springer , 2016. p. 651-655 99.

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Harris, P, Howden, NJK, Peukert, S, Noacco, V, Ramezani, K, Tuominen, E, Eludoyin, B, Brazier, R, Shepherd, A, Griffith, B, Orr, R & Murray, P 2016, Contextualized geographically weighted principal components analysis for investigating baseline soils data on the North Wyke Farm Platform. in NJ Raju (ed.), Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies., 99, Springer , pp. 651-655, 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. https://doi.org/10.1007/978-3-319-18663-4_99

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 Raju NJ, editor, Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies. Springer . 2016. p. 651-655. 99 doi: 10.1007/978-3-319-18663-4_99

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. Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies. editor / N. Janardhana Raju. Springer , 2016. pp. 651-655

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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 Anita Shepherd and B. Griffith and R. Orr and P. Murray",

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AU - Peukert, S.

AU - Noacco, V.

AU - Ramezani, K.

AU - Tuominen, E.

AU - Eludoyin, B.

AU - Brazier, R.

AU - Shepherd, Anita

AU - Griffith, B.

AU - Orr, R.

AU - Murray, P.

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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.

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KW - Local models

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ER -

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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