Estimating local variations in land use statistics

Alistair Geddes, Alessandro Gimona, David A. Elston

    Research output: Contribution to journalArticle

    8 Citations (Scopus)

    Abstract

    The Scottish agricultural census provides land use statistics as summaries for parish areas. We investigated the dis-aggregation of these parish summaries using the Land Capability for Agriculture and the 1988 Land Cover of Scotland as supporting data sets. It is unlikely that allocation rules to implement the dis-aggregation should be identical across all parishes. Equally, rules for individual parishes are indeterminate. The 891 parishes were classified into nine classes, then each class was regionalised, creating 91 regions overall. Allocation rules were estimated independently for each region and class. Statistical testing identified greater variations in the rules than is expected by random allocation of regions to classes.
    Original languageEnglish
    Pages (from-to)299-319
    Number of pages21
    JournalInternational Journal of Geographical Information Science
    Volume17
    Issue number4
    DOIs
    Publication statusPublished - Apr 2003

    Fingerprint

    parish
    Land use
    Agglomeration
    land use
    statistics
    Statistics
    Agriculture
    aggregation
    census
    land cover
    Testing
    agriculture
    allocation

    Cite this

    Geddes, Alistair ; Gimona, Alessandro ; Elston, David A. / Estimating local variations in land use statistics. In: International Journal of Geographical Information Science. 2003 ; Vol. 17, No. 4. pp. 299-319.
    @article{9068c4f07a204424b87a2b5e53b482e2,
    title = "Estimating local variations in land use statistics",
    abstract = "The Scottish agricultural census provides land use statistics as summaries for parish areas. We investigated the dis-aggregation of these parish summaries using the Land Capability for Agriculture and the 1988 Land Cover of Scotland as supporting data sets. It is unlikely that allocation rules to implement the dis-aggregation should be identical across all parishes. Equally, rules for individual parishes are indeterminate. The 891 parishes were classified into nine classes, then each class was regionalised, creating 91 regions overall. Allocation rules were estimated independently for each region and class. Statistical testing identified greater variations in the rules than is expected by random allocation of regions to classes.",
    author = "Alistair Geddes and Alessandro Gimona and Elston, {David A.}",
    note = "dc.publisher: Taylor & Francis dc.description.sponsorship: Scottish Office Agriculture Environment and Fisheries Department (SOAEFD)",
    year = "2003",
    month = "4",
    doi = "10.1080/1365881021000026539",
    language = "English",
    volume = "17",
    pages = "299--319",
    journal = "International Journal of Geographical Information Science",
    issn = "1365-8816",
    publisher = "Taylor & Francis",
    number = "4",

    }

    Estimating local variations in land use statistics. / Geddes, Alistair; Gimona, Alessandro; Elston, David A.

    In: International Journal of Geographical Information Science, Vol. 17, No. 4, 04.2003, p. 299-319.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Estimating local variations in land use statistics

    AU - Geddes, Alistair

    AU - Gimona, Alessandro

    AU - Elston, David A.

    N1 - dc.publisher: Taylor & Francis dc.description.sponsorship: Scottish Office Agriculture Environment and Fisheries Department (SOAEFD)

    PY - 2003/4

    Y1 - 2003/4

    N2 - The Scottish agricultural census provides land use statistics as summaries for parish areas. We investigated the dis-aggregation of these parish summaries using the Land Capability for Agriculture and the 1988 Land Cover of Scotland as supporting data sets. It is unlikely that allocation rules to implement the dis-aggregation should be identical across all parishes. Equally, rules for individual parishes are indeterminate. The 891 parishes were classified into nine classes, then each class was regionalised, creating 91 regions overall. Allocation rules were estimated independently for each region and class. Statistical testing identified greater variations in the rules than is expected by random allocation of regions to classes.

    AB - The Scottish agricultural census provides land use statistics as summaries for parish areas. We investigated the dis-aggregation of these parish summaries using the Land Capability for Agriculture and the 1988 Land Cover of Scotland as supporting data sets. It is unlikely that allocation rules to implement the dis-aggregation should be identical across all parishes. Equally, rules for individual parishes are indeterminate. The 891 parishes were classified into nine classes, then each class was regionalised, creating 91 regions overall. Allocation rules were estimated independently for each region and class. Statistical testing identified greater variations in the rules than is expected by random allocation of regions to classes.

    U2 - 10.1080/1365881021000026539

    DO - 10.1080/1365881021000026539

    M3 - Article

    VL - 17

    SP - 299

    EP - 319

    JO - International Journal of Geographical Information Science

    JF - International Journal of Geographical Information Science

    SN - 1365-8816

    IS - 4

    ER -