摘要
利用不同的网络公开地名数据源进行数据融合,获得榆林市乡镇级居民地地名数据,在此基础上,对地名数据进行统计分类,引入地名密度和地名点距离的指标,运用GIS的分析方法,对榆林市乡镇级地名数据进行景观分析。研究得出:榆林乡镇地名从东南向西北部递减,并且呈现出聚集的分布特征;榆林市的自然人文特征直接体现在其主要地名分类的分布上,山水类地名的分布反映了榆林西北部沙漠干旱,东南部黄土丘陵、河流较密的自然特点,姓氏、军事类地名的分布则反映了榆林市的移民文化、多民族混居的民族特色,以及古代军事价值高的特点。
Toponym research is of great significance. As the product of human activity, the formation of a toponym is influenced by special natural and social background. So,there are a large amount of information in toponym, such as: regional natural geographical features, historical changes, national features, economic production, and military activities. Fusing different toponym from public networks, we can get the almost toponym of town in Yulin. Based on this, the work about statistical analyzing of toponym classes was done. Then introducing density and distance of toponym, authors analyzing the Landscape of town toponym in Yulin with ArcGIS Spacial Statistics Tool Box and Analysis Toolbox. The results show: the density of town toponym in Yulin is descending from southeast to northwest, and their distribution present the state of aggregation. The natural and cultural features of Yulin City is directly reflected in the distribution of its main classification of toponym. Thetoponyms which contain hiU and river reflect natural characteristics, and which contain surname and mihtary reflect humanities characteristics of Yulin.
作者
李勋
马金辉
LI Xun MA Jin - hui(College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China Xi'an Technical Division of Surveying and Mapping, Xi'an 710054, China)
出处
《测绘与空间地理信息》
2017年第3期46-49,53,共5页
Geomatics & Spatial Information Technology
基金
国家国际科技合作专项"基于干涉测量和物联网技术的甘肃南部地质灾害监测预警"(2013DFE23030)
甘肃省民生科技计划项目(1503FCME006)资助
关键词
网络数据源
地名点密度
地名点距离
地名分类
data sources in network
density of toponym
distance of toponym
toponym classification