IDEAS home Printed from https://ideas.repec.org/a/ags/hilgar/381334.html
   My bibliography  Save this article

Geostatistical theory and application to variability of some agronomical properties

Author

Listed:
  • Vieira, S. R.
  • Hatfield, J. L.
  • Nielsen, D. R.
  • Biggar, J. W.

Abstract

In agronomic problems the sampling procedure may create some confusion and bias in the analysis. Geostatistics provides a method for the analysis of the spatial and temporal properties in a data set and a method of interpolation between selected points. This paper describes the theory of geostatistics and its application to selected agronomic problems. Geostatistics considers a set of data collected in either space or time at discrete intervals. These samples may be correlated with each other to provide some unique information about the parameters which would not be detected in the classical statistical methods. Through the application of geostatistics to this type of problem, we can estimate the spatial or temporal dependence of samples and from this knowledge arrive at an estimation of the sampling procedures or structure at a field. The application of these techniques is shown for air temperature, surface temperature, yield, clay content, and fertilizer content in various fields and reveals the versatility of the techniques.

Suggested Citation

  • Vieira, S. R. & Hatfield, J. L. & Nielsen, D. R. & Biggar, J. W., 1983. "Geostatistical theory and application to variability of some agronomical properties," Hilgardia, California Agricultural Experiment Station, vol. 51(3).
    • Handle: RePEc:ags:hilgar:381334
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/381334/files/Biggar.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:hilgar:381334. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.