A New Geospatial Model Integrating a Fuzzy Rule-Based System in a GIS Platform to Partition a Complex Urban System in Homogeneous Urban Contexts

Here, we present a new unsupervised method aimed at obtaining a partition of a complex urban system in homogenous urban areas, called urban contexts. Our model integrates spatial analysis processes and a fuzzy rule-based system applied to manage the knowledge of domain experts; it is implemented usi...

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Main Authors: Barbara Cardone, Ferdinando Di Martino
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Geosciences
Subjects:
GIS
Online Access:https://www.mdpi.com/2076-3263/8/12/440
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spelling doaj-8bdcdad1b4af4c6eb7bf7326da63b9602020-11-24T22:58:24ZengMDPI AGGeosciences2076-32632018-11-0181244010.3390/geosciences8120440geosciences8120440A New Geospatial Model Integrating a Fuzzy Rule-Based System in a GIS Platform to Partition a Complex Urban System in Homogeneous Urban ContextsBarbara Cardone0Ferdinando Di Martino1Dipartimento di Architettura, Università degli Studi di Napoli Federico II, Via Toledo 402, 80134 Napoli, ItalyDipartimento di Architettura, Università degli Studi di Napoli Federico II, Via Toledo 402, 80134 Napoli, ItalyHere, we present a new unsupervised method aimed at obtaining a partition of a complex urban system in homogenous urban areas, called urban contexts. Our model integrates spatial analysis processes and a fuzzy rule-based system applied to manage the knowledge of domain experts; it is implemented using a GIS platform. The area of study is initially partitioned in microzones, homogeneous portions of the urban system, which are the atomic reference elements for the census data. With the contribution of domain experts, we identify the physical, morphological, environmental, and socio-economic indicators needed to identify synthetic characteristics of urban contexts and create the fuzzy rule set necessary for determining the type of urban context. We implement the set of spatial analysis processes required to calculate the indicators for the microzones and apply a Mamdani fuzzy rule system to classify the microzones. Finally, the partition of the area of study in urban contexts is obtained by dissolving continuous microzones belonging to the same type of urban context. Tests are performed on the Municipality of Pozzuoli (Naples, Italy); the reliability of the out model is measured by comparing the results with the ones obtained through a detailed analysis.https://www.mdpi.com/2076-3263/8/12/440urban systemurban contextmicrozonefuzzy rule setfuzzy systemGISspatial analysisspatial database
collection DOAJ
language English
format Article
sources DOAJ
author Barbara Cardone
Ferdinando Di Martino
spellingShingle Barbara Cardone
Ferdinando Di Martino
A New Geospatial Model Integrating a Fuzzy Rule-Based System in a GIS Platform to Partition a Complex Urban System in Homogeneous Urban Contexts
Geosciences
urban system
urban context
microzone
fuzzy rule set
fuzzy system
GIS
spatial analysis
spatial database
author_facet Barbara Cardone
Ferdinando Di Martino
author_sort Barbara Cardone
title A New Geospatial Model Integrating a Fuzzy Rule-Based System in a GIS Platform to Partition a Complex Urban System in Homogeneous Urban Contexts
title_short A New Geospatial Model Integrating a Fuzzy Rule-Based System in a GIS Platform to Partition a Complex Urban System in Homogeneous Urban Contexts
title_full A New Geospatial Model Integrating a Fuzzy Rule-Based System in a GIS Platform to Partition a Complex Urban System in Homogeneous Urban Contexts
title_fullStr A New Geospatial Model Integrating a Fuzzy Rule-Based System in a GIS Platform to Partition a Complex Urban System in Homogeneous Urban Contexts
title_full_unstemmed A New Geospatial Model Integrating a Fuzzy Rule-Based System in a GIS Platform to Partition a Complex Urban System in Homogeneous Urban Contexts
title_sort new geospatial model integrating a fuzzy rule-based system in a gis platform to partition a complex urban system in homogeneous urban contexts
publisher MDPI AG
series Geosciences
issn 2076-3263
publishDate 2018-11-01
description Here, we present a new unsupervised method aimed at obtaining a partition of a complex urban system in homogenous urban areas, called urban contexts. Our model integrates spatial analysis processes and a fuzzy rule-based system applied to manage the knowledge of domain experts; it is implemented using a GIS platform. The area of study is initially partitioned in microzones, homogeneous portions of the urban system, which are the atomic reference elements for the census data. With the contribution of domain experts, we identify the physical, morphological, environmental, and socio-economic indicators needed to identify synthetic characteristics of urban contexts and create the fuzzy rule set necessary for determining the type of urban context. We implement the set of spatial analysis processes required to calculate the indicators for the microzones and apply a Mamdani fuzzy rule system to classify the microzones. Finally, the partition of the area of study in urban contexts is obtained by dissolving continuous microzones belonging to the same type of urban context. Tests are performed on the Municipality of Pozzuoli (Naples, Italy); the reliability of the out model is measured by comparing the results with the ones obtained through a detailed analysis.
topic urban system
urban context
microzone
fuzzy rule set
fuzzy system
GIS
spatial analysis
spatial database
url https://www.mdpi.com/2076-3263/8/12/440
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