核心矢量地理数据预处理方法改进研究
Research on the Improvement of Preprocessing Method for Core Vector Geographic Data
曲君雨 1赵喜江1
作者信息
- 1. 黑龙江科技大学 矿业工程学院,黑龙江 哈尔滨 150000
- 折叠
摘要
为了解决"全球地理信息资源建设与维护更新项目"实施过程中核心矢量地理空间数据预处理重复步骤多、数据分配缓慢的共性问题,本文对核心矢量数据预处理的方法进行了改进研究,运用模型构建器和Python脚本语言实现了制图表达,有效降低了人工参与数据预处理的程度,提升了应用ArcGIS进行矢量地理数据预处理的工作效率,具有很高的实用价值.
Abstract
In order to solve the common problems of repeated steps and slow data allocation in the preprocessing of core vector geo-graphic spatial data during the implementation of the Global Geographic Information Resource Construction and Maintenance Update Project,this paper improves the method of core vector data preprocessing by using a ModelBuilder and Python scripting language to a-chieve cartographic expression,effectively reduces the degree of manual participation in data preprocessing,and improves the efficien-cy of vector geographic data preprocessing using ArcGIS,which has high practical value.
关键词
核心矢量地理数据/ArcPy/预处理方法/制图表达Key words
core vector geographic data/ArcPy/preprocessing methods/cartographic representation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据