Open AccessBuilding a generalizated tool for the road layers of big scale topographic maps
Author(s) -
Thuong Thi Lan Nguyen,
Cuong Xuan Vu
Publication year - 2016
Publication title -
khoa học công nghệ
Language(s) - English
Resource type - Journals
ISSN - 1859-0128
DOI - 10.32508/stdj.v19i2.667
Subject(s) - cartographic generalization , generalization , topographic map (neuroanatomy) , computer science , scale (ratio) , road map , representation (politics) , process (computing) , software , data mining , artificial intelligence , cartography , geography , mathematics , psychology , mathematical analysis , politics , political science , posterior parietal cortex , law , cognitive psychology , programming language , operating system
Generalization has important role in making map, especially topographic map. Generalization is used when we want to reduce scale of map or focus on important features. As a result, we have better map about graphical representation, easier to understand. If this process is done manually, it will cost a lot of time and effort. Therefore, this study refer to build some tools for automatic generalization for traffic data on topographic map, particularly from 1/2000 to 1/10000 in ArcGIS software. Achieved result is satisfactory when applying for four topographic maps at Hoc Mon district, Ho Chi Minh city. Thanks to these tools, the generalization process is more faster. Moreover, these tools also save time and money for map makers.