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
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:
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