Estimating information levels-using interpretation to convert data into useable information

B. W. Murphy

Estimating information levels-using interpretation to convert data into useable information

B. W. Murphy^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

The amount of information available from several published soil map units is estimated using the Shannon information theory. The amount of information is based on the use of interpretation classes and the Shannon information statistic. Generally the amount of information about intrinsic soil properties such as particle size, shrinkage potential and sodicity is higher than for properties such as pH which are influenced by land management. The implications for the assessment and operation of soil mapping are discussed.

Original language	English
Title of host publication	GlobalSoilMap
Subtitle of host publication	Basis of the Global Spatial Soil Information System - Proceedings of the 1st GlobalSoilMap Conference
Pages	379-383
Number of pages	5
Publication status	Published - 2014
Event	1st GlobalSoilMap Conference: Basis of the Global Spatial Soil Information System - Orleans, France Duration: 7 Oct 2013 → 9 Oct 2013

Publication series

Name	GlobalSoilMap: Basis of the Global Spatial Soil Information System - Proceedings of the 1st GlobalSoilMap Conference

Conference

Conference	1st GlobalSoilMap Conference: Basis of the Global Spatial Soil Information System
Country/Territory	France
City	Orleans
Period	7/10/13 → 9/10/13

Cite this

@inproceedings{1f7ddd46a1b74200b6fa31170173fdf0,

title = "Estimating information levels-using interpretation to convert data into useable information",

abstract = "The amount of information available from several published soil map units is estimated using the Shannon information theory. The amount of information is based on the use of interpretation classes and the Shannon information statistic. Generally the amount of information about intrinsic soil properties such as particle size, shrinkage potential and sodicity is higher than for properties such as pH which are influenced by land management. The implications for the assessment and operation of soil mapping are discussed.",

author = "Murphy, {B. W.}",

year = "2014",

language = "English",

isbn = "9781138001190",

series = "GlobalSoilMap: Basis of the Global Spatial Soil Information System - Proceedings of the 1st GlobalSoilMap Conference",

pages = "379--383",

booktitle = "GlobalSoilMap",

note = "1st GlobalSoilMap Conference: Basis of the Global Spatial Soil Information System ; Conference date: 07-10-2013 Through 09-10-2013",

}

Murphy, BW 2014, Estimating information levels-using interpretation to convert data into useable information. in GlobalSoilMap: Basis of the Global Spatial Soil Information System - Proceedings of the 1st GlobalSoilMap Conference. GlobalSoilMap: Basis of the Global Spatial Soil Information System - Proceedings of the 1st GlobalSoilMap Conference, pp. 379-383, 1st GlobalSoilMap Conference: Basis of the Global Spatial Soil Information System, Orleans, France, 7/10/13.

Estimating information levels-using interpretation to convert data into useable information. / Murphy, B. W.
GlobalSoilMap: Basis of the Global Spatial Soil Information System - Proceedings of the 1st GlobalSoilMap Conference. 2014. p. 379-383 (GlobalSoilMap: Basis of the Global Spatial Soil Information System - Proceedings of the 1st GlobalSoilMap Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Estimating information levels-using interpretation to convert data into useable information

AU - Murphy, B. W.

PY - 2014

Y1 - 2014

N2 - The amount of information available from several published soil map units is estimated using the Shannon information theory. The amount of information is based on the use of interpretation classes and the Shannon information statistic. Generally the amount of information about intrinsic soil properties such as particle size, shrinkage potential and sodicity is higher than for properties such as pH which are influenced by land management. The implications for the assessment and operation of soil mapping are discussed.

AB - The amount of information available from several published soil map units is estimated using the Shannon information theory. The amount of information is based on the use of interpretation classes and the Shannon information statistic. Generally the amount of information about intrinsic soil properties such as particle size, shrinkage potential and sodicity is higher than for properties such as pH which are influenced by land management. The implications for the assessment and operation of soil mapping are discussed.

UR - http://www.scopus.com/inward/record.url?scp=84893649018&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9781138001190

T3 - GlobalSoilMap: Basis of the Global Spatial Soil Information System - Proceedings of the 1st GlobalSoilMap Conference

SP - 379

EP - 383

BT - GlobalSoilMap

T2 - 1st GlobalSoilMap Conference: Basis of the Global Spatial Soil Information System

Y2 - 7 October 2013 through 9 October 2013

ER -

Estimating information levels-using interpretation to convert data into useable information

Abstract

Publication series

Conference

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