arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2008.12142physics.soc-phstat.AP
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通过Openstreetmap数据探索城市形态:视觉介绍

Exploring Urban Form Through Openstreetmap Data: A Visual Introduction

Geoff Boeing

摘要:

本章介绍OpenStreetMap -一个众包的全球地图项目和地理空间数据存储库-以说明其在快速轻松地分析和可视化建筑环境中的规划和设计结果方面的实用性。它演示了OSMnx工具包,用于自动从OpenStreetMap下载、建模、分析和可视化空间大数据。我们通过可视化方法(包括图形-背景图和极直方图)在计算上探索世界各地街道网络和建筑物的模式和配置,这些方法有助于将城市复杂性压缩成可理解的人工制品,反映人类对建筑环境的体验。无处不在的城市数据和计算可以从定量和定性的角度开辟新的城市形态分析。

英文摘要:

This chapter introduces OpenStreetMap - a crowd-sourced, worldwide mapping project and geospatial data repository - to illustrate its usefulness in quickly and easily analyzing and visualizing planning and design outcomes in the built environment. It demonstrates the OSMnx toolkit for automatically downloading, modeling, analyzing, and visualizing spatial big data from OpenStreetMap. We explore patterns and configurations in street networks and buildings around the world computationally through visualization methods - including figure-ground diagrams and polar histograms - that help compress urban complexity into comprehensible artifacts that reflect the human experience of the built environment. Ubiquitous urban data and computation can open up new urban form analyses from both quantitative and qualitative perspectives.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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