Comparar métodos

	Urban Form Morphometrics	Compactness Index
Área	Urban Studies	Urban Studies
Família	Process / pipeline	Process / pipeline
Ano de origem	2019	2010
Autor original	Quantitative urban-morphology tradition; momepy toolkit by Martin Fleischmann	Geographic shape-analysis tradition (Richardson, Cole; codified by Angel, Parent & Civco)
Tipo	Systematic quantitative measurement of urban form across buildings, plots, blocks, and streets	Geometric/morphological index of how compact a settlement footprint is
Fonte seminal	Fleischmann, M. (2019). momepy: Urban Morphology Measuring Toolkit. Journal of Open Source Software, 4(43), 1807.	Angel, S., Parent, J., & Civco, D. L. (2010). Ten compactness properties of circles: Measuring shape in geography. The Canadian Geographer, 54(4), 441–461.
Outros nomes	Urban Morphometrics, Quantitative Urban Morphology, Morphometric Analysis of Urban Form, Built-Form Morphometrics	Shape Compactness Measure, Polsby-Popper Index, Richardson Compactness, Perimeter-Area Compactness
Relacionados	4	4
Resumo	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.	A compactness index measures how compact the shape of a settlement, district, or built-up area is, almost always by comparing it to the circle — the most compact shape enclosing a given area. Classic indices such as the Polsby–Popper or Richardson ratio compare a polygon's area to its perimeter, while more elaborate measures compare interpoint distances or fitted circles, all returning a value of one for a perfect circle and falling toward zero as the shape becomes elongated, indented, or fragmented. Angel, Parent and Civco systematized these into a coherent family by showing that the circle is optimal on ten distinct geometric properties, clarifying which index answers which question.