A simple positional accuracy measure for linear features

Michael Goodchild, G. J. Hunter

Research output: Contribution to journalArticle

197 Citations (Scopus)

Abstract

In this paper we propose a simple technique for assessing the positional accuracy of digitized linear features. The approach relies on a comparison with a representation of higher accuracy, and estimates the percentage of the total length of the low accuracy representation that is within a specified distance of the high accuracy representation. The approach deals successfully with three deficiencies of other methods: it is statistically based; is relatively insensitive to extreme outliers; and does not require matching of points between representations. It can be implemented using standard functions and a standard scripting language in any raster or vector GIS. We present the results of a test using data from the Digital Chart of the World.

Original languageEnglish (US)
Pages (from-to)299-306
Number of pages8
JournalInternational Journal of Geographical Information Science
Volume11
Issue number3
DOIs
StatePublished - Jan 1 1997
Externally publishedYes

Fingerprint

raster
outlier
Geographic information systems
GIS
standard language
Geographical Information System
comparison
method
test
world

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development
  • Library and Information Sciences

Cite this

A simple positional accuracy measure for linear features. / Goodchild, Michael; Hunter, G. J.

In: International Journal of Geographical Information Science, Vol. 11, No. 3, 01.01.1997, p. 299-306.

Research output: Contribution to journalArticle

@article{2d63dc5b94634c009589194a0a793bff,
title = "A simple positional accuracy measure for linear features",
abstract = "In this paper we propose a simple technique for assessing the positional accuracy of digitized linear features. The approach relies on a comparison with a representation of higher accuracy, and estimates the percentage of the total length of the low accuracy representation that is within a specified distance of the high accuracy representation. The approach deals successfully with three deficiencies of other methods: it is statistically based; is relatively insensitive to extreme outliers; and does not require matching of points between representations. It can be implemented using standard functions and a standard scripting language in any raster or vector GIS. We present the results of a test using data from the Digital Chart of the World.",
author = "Michael Goodchild and Hunter, {G. J.}",
year = "1997",
month = "1",
day = "1",
doi = "10.1080/136588197242419",
language = "English (US)",
volume = "11",
pages = "299--306",
journal = "International Journal of Geographical Information Science",
issn = "1365-8816",
publisher = "Taylor and Francis Ltd.",
number = "3",

}

TY - JOUR

T1 - A simple positional accuracy measure for linear features

AU - Goodchild, Michael

AU - Hunter, G. J.

PY - 1997/1/1

Y1 - 1997/1/1

N2 - In this paper we propose a simple technique for assessing the positional accuracy of digitized linear features. The approach relies on a comparison with a representation of higher accuracy, and estimates the percentage of the total length of the low accuracy representation that is within a specified distance of the high accuracy representation. The approach deals successfully with three deficiencies of other methods: it is statistically based; is relatively insensitive to extreme outliers; and does not require matching of points between representations. It can be implemented using standard functions and a standard scripting language in any raster or vector GIS. We present the results of a test using data from the Digital Chart of the World.

AB - In this paper we propose a simple technique for assessing the positional accuracy of digitized linear features. The approach relies on a comparison with a representation of higher accuracy, and estimates the percentage of the total length of the low accuracy representation that is within a specified distance of the high accuracy representation. The approach deals successfully with three deficiencies of other methods: it is statistically based; is relatively insensitive to extreme outliers; and does not require matching of points between representations. It can be implemented using standard functions and a standard scripting language in any raster or vector GIS. We present the results of a test using data from the Digital Chart of the World.

UR - http://www.scopus.com/inward/record.url?scp=0030753082&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030753082&partnerID=8YFLogxK

U2 - 10.1080/136588197242419

DO - 10.1080/136588197242419

M3 - Article

AN - SCOPUS:0030753082

VL - 11

SP - 299

EP - 306

JO - International Journal of Geographical Information Science

JF - International Journal of Geographical Information Science

SN - 1365-8816

IS - 3

ER -