esy-osmfilter–一个有效提取OpenStreetMap数据的Python库

Q1 Social Sciences Journal of Open Research Software Pub Date : 2020-09-01 DOI:10.5334/jors.317
A. Pluta, Ontje Lünsdorf
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引用次数: 8

摘要

OpenStreetMap是世界上最大的可自由访问的地理数据库。从该数据库中提取信息的必要处理步骤,即读取、转换和过滤,在计算时间和磁盘空间方面可能非常耗时。esy-osmfilter是一个Python库,设计用于在优化磁盘空间和计算时间的情况下读取和过滤OpenStreetMap数据。它对OSM pbf文件数据使用并行预过滤,以快速减少原始数据大小。它可以将预过滤的数据存储到硬盘驱动器中。在主过滤过程中,这些预过滤的数据可以在更专业的主过滤器的帮助下重复使用,以识别不同的项目。最后,可以将输出导出为GeoJSON格式。
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esy-osmfilter – A Python Library to Efficiently Extract OpenStreetMap Data
OpenStreetMap is the largest freely accessible geographic database of the world. The necessary processing steps to extract information from this database, namely reading, converting and filtering, can be very consuming in terms of computational time and disk space. esy-osmfilter is a Python library designed to read and filter OpenStreetMap data under optimization of disc space and computational time. It uses parallelized prefiltering for the OSM pbf-files data in order to quickly reduce the original data size. It can store the prefiltered data to the hard drive. In the main filtering process, these prefiltered data can be reused repeatedly to identify different items with the help of more specialized main filters. At the end, the output can be exported to the GeoJSON format.
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来源期刊
Journal of Open Research Software
Journal of Open Research Software Social Sciences-Library and Information Sciences
CiteScore
6.50
自引率
0.00%
发文量
7
审稿时长
21 weeks
期刊最新文献
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