Title: Nonparametric Spatial Rainfall Characterization Using Adaptive Kernel Estimator

Date: 1 May 1998

Authors: Alaa Ali

Link: Ali.pdf


A nonparametric statistical tool based on kernel function estimation is developed for spatial rainfall characterization. In this method, observations closer to the point of estimate are weighted higher using kernel function with a prescribed bandwidth. The kernel bandwidth is local and it extends only to the Kth Nearest Neighbor, KNN, observation. An optimal value for KNN is selected by cross validation. Unlike Kriging, the underlying stochastic process is not assumed to be stationary. An application of this model using rainfall data is presented.


Journal of Geographic Information and Decision Analysis, Vol. 2, No. 2, pp. 34-43, 1998.

KEYWORDS: nonparametric statistics, Kth nearest neighbor, kernel estimator, nonstationarity, cross validation

-- TWikiAdminUser - 2010-06-16

Topic attachments
I Attachment Action Size Date Who Comment
PDFpdf Ali.pdf manage 722.0 K 2010-07-24 - 21:26 TWikiAdminUser  
Edit | Attach | Print version | History: r4 < r3 < r2 < r1 | Backlinks | Raw View | Raw edit | More topic actions...
create new tag
, view all tags
Topic revision: r3 - 2010-07-24 - 21:27:25 - TWikiAdminUser

  • Jump: 
  • Search: 
This site is powered by the TWiki collaboration platform Copyright © by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding TWiki? Send feedback