A SPATIAL MODEL FOR HIGH PLAINS AGRICULTURE.

A random field model, consisting of a regional trend component and a local interaction component, describes the spatial pattern of corn and wheat yields in the High Plains. The presence of spatial autocorrelation in the local component raises interesting statistical estimation problems. Temporal var...

Descripción completa

Detalles Bibliográficos
Publicado en:Annals of the Association of American Geographers Vol. 68; no. 4; pp. 493 - 505
Autor principal: Haining, R. P.
Formato: Artículo
Publicado: Taylor & Francis Ltd Dec78
Materias:
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=12773476&site=ehost-live
header:
  @attributes:
    shortDbName: hlh
    uiTerm: 12773476
    longDbName: Humanities International Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        00045608
        AAG
      jtl: Annals of the Association of American Geographers
      issn: 00045608
      maglogo: Y
    pubinfo:
      dt: Dec78
      vid: 68
      iid: 4
      pid: 377
      pub: Taylor & Francis Ltd
    artinfo:
      ui:
        12773476
        10.1111/j.1467-8306.1978.tb01212.x
      ppf: 493
      ppct: 12
      formats:
      tig:
        atl: A SPATIAL MODEL FOR HIGH PLAINS AGRICULTURE.
      aug:
        au: Haining, R. P.
        affil: Lecturer in Geography, University of Sheffield, Sheffield, England
      su:
        Corn
        Wheat
        Climate change
        Spatial analysis (Statistics)
        Autocorrelation (Statistics)
        High Plains (U.S.)
        United States
      sug:
        subj:
          High Plains (U.S.)
          United States
          Corn
          Wheat
          Climate change
          Spatial analysis (Statistics)
          Autocorrelation (Statistics)
      ab: A random field model, consisting of a regional trend component and a local interaction component, describes the spatial pattern of corn and wheat yields in the High Plains. The presence of spatial autocorrelation in the local component raises interesting statistical estimation problems. Temporal variations in the slope and interaction parameters are a function of climatic fluctuations. The local component reflects intercounty spatial autocorrelation in precipitation patterns.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: Y
      dt:
        @attributes:
          year: 1978
    holdings:
      @attributes:
        islocal: N