Transforming the spatial basis of agricultural census cover data

A. Moxey, C. McClean, P. Allanson

    Research output: Contribution to journalArticle

    11 Citations (Scopus)

    Abstract

    Land cover data from the June agricultural census of England and Wales have historically been published annually at the parish level. This level of spatial resolution masks heterogeneity of land use within parishes, limiting the value of the data for detailed spatial analyses. However, variation in land characteristics across parishes can be used to model variation in land cover, thereby allowing the spatial basis of the census data to be transformed. This procedure, referred to as areal interpolation, is illustrated using two land classification systems based on soils for a study area in northern England. The results indicate that the spatially transformed data offer a better description of the distribution of land covers than that provided by the raw census data. They also demonstrate the extra value that can be obtained by combining extant data sources within a GIS framework. Potential roles for areal interpolation in environmental modelling and policy formulation are discussed briefly.
    Original languageEnglish
    Pages (from-to)21-25
    Number of pages5
    JournalSoil Use and Management
    Volume11
    Issue number1
    DOIs
    Publication statusPublished - Mar 1995

    Fingerprint

    land cover
    census
    Interpolation
    census data
    areal interpolation
    England
    Land use
    Geographic information systems
    land classification
    Masks
    spatial data
    Wales
    Soils
    environmental modeling
    land use
    environmental policy
    spatial resolution
    GIS
    soil

    Cite this

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    title = "Transforming the spatial basis of agricultural census cover data",
    abstract = "Land cover data from the June agricultural census of England and Wales have historically been published annually at the parish level. This level of spatial resolution masks heterogeneity of land use within parishes, limiting the value of the data for detailed spatial analyses. However, variation in land characteristics across parishes can be used to model variation in land cover, thereby allowing the spatial basis of the census data to be transformed. This procedure, referred to as areal interpolation, is illustrated using two land classification systems based on soils for a study area in northern England. The results indicate that the spatially transformed data offer a better description of the distribution of land covers than that provided by the raw census data. They also demonstrate the extra value that can be obtained by combining extant data sources within a GIS framework. Potential roles for areal interpolation in environmental modelling and policy formulation are discussed briefly.",
    author = "A. Moxey and C. McClean and P. Allanson",
    year = "1995",
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    doi = "10.1111/j.1475-2743.1995.tb00490.x",
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    Transforming the spatial basis of agricultural census cover data. / Moxey, A.; McClean, C.; Allanson, P.

    In: Soil Use and Management, Vol. 11, No. 1, 03.1995, p. 21-25.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Transforming the spatial basis of agricultural census cover data

    AU - Moxey, A.

    AU - McClean, C.

    AU - Allanson, P.

    PY - 1995/3

    Y1 - 1995/3

    N2 - Land cover data from the June agricultural census of England and Wales have historically been published annually at the parish level. This level of spatial resolution masks heterogeneity of land use within parishes, limiting the value of the data for detailed spatial analyses. However, variation in land characteristics across parishes can be used to model variation in land cover, thereby allowing the spatial basis of the census data to be transformed. This procedure, referred to as areal interpolation, is illustrated using two land classification systems based on soils for a study area in northern England. The results indicate that the spatially transformed data offer a better description of the distribution of land covers than that provided by the raw census data. They also demonstrate the extra value that can be obtained by combining extant data sources within a GIS framework. Potential roles for areal interpolation in environmental modelling and policy formulation are discussed briefly.

    AB - Land cover data from the June agricultural census of England and Wales have historically been published annually at the parish level. This level of spatial resolution masks heterogeneity of land use within parishes, limiting the value of the data for detailed spatial analyses. However, variation in land characteristics across parishes can be used to model variation in land cover, thereby allowing the spatial basis of the census data to be transformed. This procedure, referred to as areal interpolation, is illustrated using two land classification systems based on soils for a study area in northern England. The results indicate that the spatially transformed data offer a better description of the distribution of land covers than that provided by the raw census data. They also demonstrate the extra value that can be obtained by combining extant data sources within a GIS framework. Potential roles for areal interpolation in environmental modelling and policy formulation are discussed briefly.

    U2 - 10.1111/j.1475-2743.1995.tb00490.x

    DO - 10.1111/j.1475-2743.1995.tb00490.x

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