مقایسهٔ روش‌ها

	Sky View Factor Analysis	Urban Form Morphometrics
حوزه	Urban Studies	Urban Studies
خانواده	Process / pipeline	Process / pipeline
سال پیدایش	1981	2019
پدیدآور	Timothy R. Oke (urban-climate application)	Quantitative urban-morphology tradition; momepy toolkit by Martin Fleischmann
نوع	Pipeline for computing the fraction of visible sky from a point in urban geometry	Systematic quantitative measurement of urban form across buildings, plots, blocks, and streets
منبع بنیادین	Oke, 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.	Fleischmann, M. (2019). momepy: Urban Morphology Measuring Toolkit. Journal of Open Source Software, 4(43), 1807.
نام‌های دیگر	SVF Analysis, Sky View Factor Mapping, Sky Openness Analysis, Skyview Factor	Urban Morphometrics, Quantitative Urban Morphology, Morphometric Analysis of Urban Form, Built-Form Morphometrics
مرتبط	4	4
خلاصه	Sky 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.