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 proceedingConference 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 languageEnglish
Title of host publicationProceedings 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
PublisherCapital Publishing Company
Pages376-378
Number of pages3
ISBN (Print)9789381891254
Publication statusPublished - 2014
Event16th 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 201420 Oct 2014

Conference

Conference16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014
CountryIndia
CityNew Delhi
Period17/10/1420/10/14

Keywords

  • Grasslands
  • Livestock production
  • Local models
  • Non-stationarity

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