A weighted regression approach to model and estimate spatial variability of soil properties in one dimension

P. H.S.W. Kulatilake; P. Varatharajah

A weighted regression approach to model and estimate spatial variability of soil properties in one dimension

Mining and Geological Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

A method is developed to estimate spatial variability of soil properties in one dimension. An example is given to illustrate the use of the developed technique. With slight modifications, the method can be extended to estimate spatial variation in three dimensions. -from Authors

Original language	English (US)
Pages (from-to)	279-285
Number of pages	7
Journal	Unknown Journal
State	Published - Jan 1 1989

ASJC Scopus subject areas

Environmental Science(all)
Earth and Planetary Sciences(all)

Fingerprint Dive into the research topics of 'A weighted regression approach to model and estimate spatial variability of soil properties in one dimension'. Together they form a unique fingerprint.

Cite this

@article{8ec60e4833fb45619ec7f1f432e33c2e,

title = "A weighted regression approach to model and estimate spatial variability of soil properties in one dimension",

abstract = "A method is developed to estimate spatial variability of soil properties in one dimension. An example is given to illustrate the use of the developed technique. With slight modifications, the method can be extended to estimate spatial variation in three dimensions. -from Authors",

author = "Kulatilake, {P. H.S.W.} and P. Varatharajah",

year = "1989",

month = jan,

day = "1",

language = "English (US)",

pages = "279--285",

journal = "Nuclear Physics A",

issn = "0375-9474",

publisher = "Elsevier",

}

TY - JOUR

T1 - A weighted regression approach to model and estimate spatial variability of soil properties in one dimension

AU - Kulatilake, P. H.S.W.

AU - Varatharajah, P.

PY - 1989/1/1

Y1 - 1989/1/1

N2 - A method is developed to estimate spatial variability of soil properties in one dimension. An example is given to illustrate the use of the developed technique. With slight modifications, the method can be extended to estimate spatial variation in three dimensions. -from Authors

AB - A method is developed to estimate spatial variability of soil properties in one dimension. An example is given to illustrate the use of the developed technique. With slight modifications, the method can be extended to estimate spatial variation in three dimensions. -from Authors

UR - http://www.scopus.com/inward/record.url?scp=0024568246&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0024568246&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0024568246

SP - 279

EP - 285

JO - Nuclear Physics A

JF - Nuclear Physics A

SN - 0375-9474

ER -

A weighted regression approach to model and estimate spatial variability of soil properties in one dimension

Abstract

ASJC Scopus subject areas

Other files and links

Cite this