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作 者:张璐[1] 蒋笑 王丹[1] 尚祚彦 ZHANG Lu;JIANG Xiao;WANG Dan;SHANG Zuoyan(Provincial Geomatics Centre of Jiangsu,Nanjing 210013,China;China Automotive Innovation Corporation Technology Co.,Ltd.,Nanjing 211100,China)
机构地区:[1]江苏省基础地理信息中心,江苏南京210013 [2]中汽创智科技有限公司,江苏南京211100
出 处:《测绘与空间地理信息》2022年第11期119-121,125,共4页Geomatics & Spatial Information Technology
摘 要:地理国情监测是掌握地表自然状况与人类生产活动情况的基础性工作。其监测方法科学可靠、成果内容丰富。江苏省地理国情监测的水系数据量巨大,网络关系复杂,在数据质量要求高、时间紧迫的情况下,河流实体关系表生成需要更加高效快捷的方法。根据地理国情监测关于全集水网的技术要求,提出了基于Python语言和ArcPy站点包的河流实体关系表自动生成的程序化解决方案,极大地提高了生产效率,保证了成果质量。Geographical national condition monitoring is the fundamental work to grasp the basic situation of surface nature, ecology and human activities. The monitoring method is scientific and reliable, and the results are rich. The amount of river system data in Jiangsu province is huge, and the network relationship is complex. In the case of high data quality and urgent time, the generation of river system entity relationship table needs more efficient methods. According to the technical requirements of the geographical national condition monitoring on the whole water collection network, this paper puts forward a programmed solution based on Python language and ArcPy site package to automatically generate the river entity relationship table, which greatly improves the production efficiency and ensures the quality of the results.
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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