446
Views
10
CrossRef citations to date
0
Altmetric
Articles

A method based on graphic entity for visualizing complex map symbols on the web

&
Pages 44-53 | Received 29 Oct 2013, Accepted 25 Sep 2014, Published online: 14 Nov 2014
 

Abstract

A method based on graphic entity for map symbol visualization in vector-based web mapping is proposed. The method is especially effective for complex geological symbols. It has three parts: graphic entity library, symbol synthesizer, and synthesis specifications. The design process is described as the application of the method to symbols representing point, line, and polygon features in web mapping. The method works with Flash, SVG, or other mapping technologies. We chose Flash to visualize geological disaster information for the Guangdong province in China. The case study demonstrates that this graphic entity-based method can meet the demands for interactive symbolization and complex symbol visualization in Internet web mapping. It produces good results, is fast, and is easy to operate. This makes it especially suitable for web-mapping applications, especially vector-based and hybrid WebGIS applications which display complex symbols.

Acknowledgements

This study was financially supported by the Natural Science Foundation of Guangdong Province, China [grant number S2013010014097]; the Research Plan of LREIS [grant number O88RA900KA]; and the Key Project for the Strategic Science Plan in IGSNRR, CAS [grant number 2012ZD010].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 78.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.