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Sky View Factor Analysis×Urban Form Morphometrics×
분야Urban StudiesUrban Studies
계열Process / pipelineProcess / pipeline
기원 연도19812019
창시자Timothy R. Oke (urban-climate application)Quantitative urban-morphology tradition; momepy toolkit by Martin Fleischmann
유형Pipeline for computing the fraction of visible sky from a point in urban geometrySystematic quantitative measurement of urban form across buildings, plots, blocks, and streets
원전Oke, T. R. (1981). Canyon geometry and the nocturnal urban heat island: comparison of scale model and field observations. Journal of Climatology, 1(3), 237–254. DOI ↗Fleischmann, M. (2019). momepy: Urban Morphology Measuring Toolkit. Journal of Open Source Software, 4(43), 1807. DOI ↗
별칭SVF Analysis, Sky View Factor Mapping, Sky Openness Analysis, Skyview FactorUrban Morphometrics, Quantitative Urban Morphology, Morphometric Analysis of Urban Form, Built-Form Morphometrics
관련44
요약Sky view factor (SVF) analysis quantifies the fraction of the overlying hemisphere of sky that is visible from a given point on the ground, ranging from 1.0 in a wide-open field to near 0 at the bottom of a deep, narrow street canyon. It is a central geometric descriptor in urban climatology because the amount of visible sky governs how much longwave radiation a surface can lose at night, directly shaping the urban heat island. The measure was put on a rigorous footing by Timothy Oke's 1981 work linking canyon geometry to nocturnal urban warming.Urban form morphometrics is the systematic, quantitative measurement of the physical form of cities — the dimensions, shapes, spatial arrangement, intensity, and connectivity of buildings, plots, blocks, and streets. Rather than describing morphology in words, it computes hundreds of reproducible numerical characters on each morphological element and its local context, turning the qualitative tradition of urban morphology into a measurable science. The open-source momepy toolkit, introduced by Martin Fleischmann in 2019, standardized this workflow, building a morphological tessellation from building footprints and computing dimension, shape, distribution, intensity, and connectivity characters at scale.
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