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OSM2LES - A python-based tool to prepare realistic urban geometry for LES simulation from OpenStreetMap

Authors: Lu, Jiachen; Nazarian, Negin; Hart, Melissa A.;

OSM2LES - A python-based tool to prepare realistic urban geometry for LES simulation from OpenStreetMap

Abstract

OSM2LES is an open-source Python-based code extracting and rasterizing building footprint from OpenStreetMap for the underlying geometry required by some LES applications such as PALM. It takes longitude/latitude coordinates enclosing a bounding box, desired resolution, default building height, rotation angle as input and outputs the rastered urban layouts in plain text ASCII form. In addition, OSM2LES calculates key geometric parameters such as density, street connectivity and entropy of facet to characterize the rastered computational domain, which proved to be effectively control the urban flow.

OSM2LES can be installed from https://pypi.org/project/OSM2PALM/, please contact Jiachensc@gmail.com if you have any questions.

Related Organizations
Keywords

Urban layout, Rasterization, OpenStreetMap, Large Eddy Simulation

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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