Research on symbolization of urban topographic features in ArcGIS

Xiaolan Xu; Lianying Li; Hanwu Li; Dequan Gao

doi:10.1117/12.838670

14 October 2009 Research on symbolization of urban topographic features in ArcGIS

Xiaolan Xu, Lianying Li, Hanwu Li, Dequan Gao

Proceedings Volume 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining; 749214 (2009) https://doi.org/10.1117/12.838670
Event: International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, 2009, Wuhan, China

Abstract

Map symbol is a basic means that represents spatial data. As a significant tool of information representation and transfer, it has an important role for map display and output. ArcGIS is a GIS platform with strong functions, but its embedding symbol libraries, ESRI.Style files ,are not conform to Chinese map standard, thus can't meet the demand of map display and output for Chinese urban fundamental GIS. On the basis of ArcEngine map output modules this article elaborates classification of topographic feature, design and construction of map symbol library and map symbolization in large scaled GIS, so as to provide technical experiences for related applications and improve the efficiency of system developing.

Citation Download Citation

Xiaolan Xu, Lianying Li, Hanwu Li, and Dequan Gao "Research on symbolization of urban topographic features in ArcGIS", Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 749214 (14 October 2009); https://doi.org/10.1117/12.838670

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available