Exploring Urban Form Through Openstreetmap Data: A Visual Introduction

Geoff Boeing

No rnwgv, SocArXiv from Center for Open Science

Abstract: 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.

Date: 2020-08-25
New Economics Papers: this item is included in nep-big and nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:rnwgv

DOI: 10.31219/osf.io/rnwgv

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