Midlands State University Library

Automated evaluation of building alignments in generalized maps (Record no. 160676)

MARC details
000 -LEADER
fixed length control field 02575nam a22002417a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221130111843.0
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fixed length control field 221130b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Transcribing agency MSU
Description conventions rda
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Zhang, Xiang
Relator term author
245 ## - TITLE STATEMENT
Title Automated evaluation of building alignments in generalized maps
Statement of responsibility, etc. created by Xiang Zhang ,Jantien Stoter,Tinghua Ai,Menno-Jan Kraak &Martien Molenaar
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Netherlands:
Name of producer, publisher, distributor, manufacturer Taylor & Francis,
Date of production, publication, distribution, manufacture, or copyright notice 2013.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
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440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
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520 ## - SUMMARY, ETC.
Summary, etc. Evaluation is a key step to examine the quality of generalized maps with respect to map requirements. Map generalization facilitates the recognition of pattern generating processes by preserving and highlighting the patterns at smaller scales. This article focuses specifically on the evaluation of building patterns in topographic maps that are generalized from large to mid scales. Currently, there is a lack of knowledge and functionality on automatically evaluating how these patterns are generalized. The issues of the evaluation range from missing formal map requirements on building alignments to missing automated evaluation techniques. This article firstly analyses the requirements (constraints) related to the generalization of building alignments. Then, it focuses on three more specific constraints, i.e. on existence, orientation of alignments and spatial distribution of composing buildings. Later, a three-step approach is proposed to (1) recognize and (2) match alignments from source and generalized datasets and (3) evaluate building alignments in generalized datasets. Besides, many-to-many and partial matching between initial and target alignments is a side effect of generalization, which reduces the reliability of the evaluation results. This article introduces a confidence indicator to document the reliability and to inform intended users (e.g. cartographers) and/or systems about the reliability of evaluation decisions. The effectiveness of our approach is demonstrated by evaluating the alignments in both interactively (manually) generalized maps and automated generalized maps. Finally, we discuss how our approach can be used to control automated generalization and identify further improvements.<br/><br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element automated generalization
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element automated generalization
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element automated evaluation of generalized data
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1080/13658816.2012.758264
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Copy number Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library - Special Collections 14/10/2014 Vol 27 .Nos.7-8 pages 63-74   G70.2 INT 30/11/2022 SP17852 30/11/2022 Journal Article For Inhouse use only