Digitising - Time Estimation Using A Linear Regression Model

From data perspective, GIS can be regarded as having four subsystems namely data input, data storage and management, data manipulation and analysis and data output. Focusing on data input, manual digitizing has become the commonest practice but there is no standard way of quantitatively estimating t...

Full description

Saved in:
Bibliographic Details
Main Authors: Said, Mohamad Nor, Desa, Ghazali
Format: Article
Language:en
Published: Fakulti Ukur dan Harta Tanah 1993
Subjects:
Online Access:http://eprints.utm.my/4843/1/digitizing_time_estimation.pdf
http://eprints.utm.my/4843/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1845471225941327872
author Said, Mohamad Nor
Desa, Ghazali
author_facet Said, Mohamad Nor
Desa, Ghazali
author_sort Said, Mohamad Nor
building UTM Library
collection Institutional Repository
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
continent Asia
country Malaysia
description From data perspective, GIS can be regarded as having four subsystems namely data input, data storage and management, data manipulation and analysis and data output. Focusing on data input, manual digitizing has become the commonest practice but there is no standard way of quantitatively estimating the consumed time. This paper reports the results of an experiment to relate digitizing time to the total polygon perimeter contained in a map. A linear model was proposed and a linear regression technique was applied to test the model and to investigate the extent of its validity.
format Article
id my.utm.eprints-4843
institution Universiti Teknologi Malaysia
language en
publishDate 1993
publisher Fakulti Ukur dan Harta Tanah
record_format eprints
spelling my.utm.eprints-48432010-06-01T03:21:14Z http://eprints.utm.my/4843/ Digitising - Time Estimation Using A Linear Regression Model Said, Mohamad Nor Desa, Ghazali TA Engineering (General). Civil engineering (General) From data perspective, GIS can be regarded as having four subsystems namely data input, data storage and management, data manipulation and analysis and data output. Focusing on data input, manual digitizing has become the commonest practice but there is no standard way of quantitatively estimating the consumed time. This paper reports the results of an experiment to relate digitizing time to the total polygon perimeter contained in a map. A linear model was proposed and a linear regression technique was applied to test the model and to investigate the extent of its validity. Fakulti Ukur dan Harta Tanah 1993-08 Article PeerReviewed application/pdf en http://eprints.utm.my/4843/1/digitizing_time_estimation.pdf Said, Mohamad Nor and Desa, Ghazali (1993) Digitising - Time Estimation Using A Linear Regression Model. Buletin Ukur, 4 (2). pp. 65-74. ISSN 0128-4274
spellingShingle TA Engineering (General). Civil engineering (General)
Said, Mohamad Nor
Desa, Ghazali
Digitising - Time Estimation Using A Linear Regression Model
title Digitising - Time Estimation Using A Linear Regression Model
title_full Digitising - Time Estimation Using A Linear Regression Model
title_fullStr Digitising - Time Estimation Using A Linear Regression Model
title_full_unstemmed Digitising - Time Estimation Using A Linear Regression Model
title_short Digitising - Time Estimation Using A Linear Regression Model
title_sort digitising - time estimation using a linear regression model
topic TA Engineering (General). Civil engineering (General)
url http://eprints.utm.my/4843/1/digitizing_time_estimation.pdf
http://eprints.utm.my/4843/
url_provider http://eprints.utm.my/