The automatic classification of urban open space by a pattern-matching method of the viewshed at intersections/
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ArticlePublication details: Sage, 2020.Description: Vol. 47, Issue 6, 2020, ( 1065–1080 p.)Online resources:
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Environment and planning B: planning and design (Urban Analytics and City Science)Summary: This research focuses on the automatic classification of small urban fragments through a morphological analysis of cognitivist inspiration. The recognition algorithm is performed on observer-centric forms, constructed through the use of visibility assessment techniques over a series of individual points of view. These tools are (1) the isovist for its capacity to delineate and synthesize the visual properties of the immediate viewshed from a point, and (2) the automatic construction of a typology of intersection patterns. The aim is to assimilate the forms of the theoretical intersection patterns to those extracted from the isovist field generated by a group of strategically placed points. Three different matching methods are proposed, and the significance of the parameters needed for optimal calibration is discussed.
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Library, SPAB | E-Journals | Vol. 47(1-9), Jan-Dec, 2020 | Available |
This research focuses on the automatic classification of small urban fragments through a morphological analysis of cognitivist inspiration. The recognition algorithm is performed on observer-centric forms, constructed through the use of visibility assessment techniques over a series of individual points of view. These tools are (1) the isovist for its capacity to delineate and synthesize the visual properties of the immediate viewshed from a point, and (2) the automatic construction of a typology of intersection patterns. The aim is to assimilate the forms of the theoretical intersection patterns to those extracted from the isovist field generated by a group of strategically placed points. Three different matching methods are proposed, and the significance of the parameters needed for optimal calibration is discussed.
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