Extracting Information from an Urban Network by Combining a Visibility Index and a City Data Set
Autor: | José Luis Hervás Oliver, José-Francisco Vicent, Leandro Tortosa, Taras Agryzkov |
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Přispěvatelé: | Universidad de Alicante. Departamento de Expresión Gráfica, Composición y Proyectos, Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial, Análisis y Visualización de Datos en Redes (ANVIDA) |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
010504 meteorology & atmospheric sciences
Physics and Astronomy (miscellaneous) Computer science General Mathematics 0211 other engineering and technologies 02 engineering and technology urban networks 01 natural sciences Isovists isovists Spatial network Computer Science (miscellaneous) dataset 0105 earth and related environmental sciences Composición Arquitectónica Urban networks lcsh:Mathematics 021107 urban & regional planning Urban network Ciencia de la Computación e Inteligencia Artificial lcsh:QA1-939 Visibility index Cultural heritage visibility index Chemistry (miscellaneous) Premise Graph (abstract data type) Urban scale Mathematical structure Cartography Street network Dataset |
Zdroj: | Symmetry Volume 11 Issue 5 RUA. Repositorio Institucional de la Universidad de Alicante Universidad de Alicante (UA) Symmetry, Vol 11, Iss 5, p 704 (2019) |
Popis: | Cities can be represented by spatial networks, and the mathematical structure that defines a spatial network is a graph. Taking into account this premise, this paper is focused on analysing information on an urban scale by combining a new ray-casting visibility index with a data set of the urban street network. The visibility index provides information about the most visible buildings or areas. We relate this index with other data extracted from the city, with the aim of generating and analysing information about urban elements. To corroborate this idea, real data are analysed. The dataset is related to the heritage conservation of the buildings of the Villaflora suburb, located in the city of Quito (Ecuador). This information is processed, together with the visibility index, with the aim of determining the conservation degree of the urban areas most visually exposed to pedestrians or visitors. The combination of both values&mdash heritage conservation and visibility index&mdash is carried out by means of two new indices, I P and I N , which are defined using two-variable exponential functions. |
Databáze: | OpenAIRE |
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