Publicação
Convergence of methods of urban form description: analysis of satellite images texture and visual graphical analysis
| Resumo: | The paper presents the results of an investigation that aims at integrating different approaches to the analysis of the urban form. The proposed methodology integrates two lines of investigation: i) texture analysis of high resolution satellite images using fractal and lacunarity measures to describe the spatial distribution of pixels with similar grey levels; ii) Visual Graph Analysis (VGA) describing visual properties of spatial systems. A second order analysis is proposed to describe the texture of VGA maps and to investigate to what extent the underlying configurational and texture patterns are correlated. The results reveal how robust the procedures are, particularly in identifying distinct socio-spatial patterns. |
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| Autores principais: | do Eirado Amorim, Luiz Manuel |
| Outros Autores: | Barros Filho, Mauro |
| Assunto: | lacunaridade sintaxe espacial análise de textura análise gráfica visual lacunarity space syntax texture analysis visual graph analysis |
| Ano: | 2017 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Instituição associada: | Portuguese-Language Network of Urban Morphology |
| Idioma: | português |
| Origem: | Revista de Morfologia Urbana |
| Resumo: | The paper presents the results of an investigation that aims at integrating different approaches to the analysis of the urban form. The proposed methodology integrates two lines of investigation: i) texture analysis of high resolution satellite images using fractal and lacunarity measures to describe the spatial distribution of pixels with similar grey levels; ii) Visual Graph Analysis (VGA) describing visual properties of spatial systems. A second order analysis is proposed to describe the texture of VGA maps and to investigate to what extent the underlying configurational and texture patterns are correlated. The results reveal how robust the procedures are, particularly in identifying distinct socio-spatial patterns. |
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