Mesures fractales de l’identité morphique pour des tissus urbains dans la ville algérienne de Batna

Arrouf, Abdelmalek; Kacha, Lemya; Mansouri, Ahmed

doi:10.4000/cybergeo.27331

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…According to (Arrouf et al, (2015), Barrou et al, (2017) andZenati Bouiche et al, (2020), the most important indicators used for the morphological analysis of urban fabrics are:…”

Section: Morphic Identity Indicatorsmentioning

confidence: 99%

Morphic Logic of the Urban Macroform of the Intermunicipal Grouping of Batna -Algeria-

FEKKOUS¹,

Alkama²,

FEKKOUS³

2022

Int J Innov Stud Sociol Humanities

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Studies in urban geography have focused their research axes lately on understanding the reality, and morphological identity, of urban macroforms. Through the use of reliable mathematical approaches, innovative methods through purely geometrical notions and indices.In this context, this article focuses first on the use of fractal analysis, as a reliable research stream, a geometric morphological approach that analyzes the global level of urban macroforms to understand the morphic logic and reality of the formal system in our inter-municipal grouping of Batna, over time.Secondly, to determine the current position of the urban area of Batna, using the combinatory method of geometric indices employed by Marianne Guerois.The research tasks used the following software: FRACTALYSE; GIS, XLSTAT, to perform the calculation and evaluation steps in order to obtain reliable results.Finally, the results of the two sections have shown that the agglomeration of Batna is characterized by a dispersion and fragmentation that tend towards urban sprawl currently with a morphic surface identity less homogeneous, less hierarchical, less complex, a dendricity and a roughness of edge is decreasing with time.

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“…According to (Arrouf et al, (2015), Barrou et al, (2017) andZenati Bouiche et al, (2020), the most important indicators used for the morphological analysis of urban fabrics are:…”

Section: Morphic Identity Indicatorsmentioning

confidence: 99%