TY - JOUR
T1 - The agri-environmental footprint: A method for the identification and classification of peri-urban areas
AU - Diti, Irene
AU - Tassinari, Patrizia
AU - Torreggiani, Daniele
PY - 2015
Y1 - 2015
N2 - The aim of this research is to define and test a methodology for an articulated and systematic analysis of the countryside, which can lend support to urban and landscape planning processes in addition to improving knowledge of the landscape, and for the implementation of agricultural and rural development policies. We have conceived a multi-criteria and multilevel methodology that was integrated into a geographic information system (GIS) and is based on clustering and maximum likelihood classification algorithms. The proposed method focuses on various agri-environmental and socio-economic components, whose synthesis is performed by means of an interpretative key that was developed by the authors, the "Agri-Environmental Footprint", to quantify the impact of rural areas on urban systems. In particular, this paper presents the general framework of the methodology, a set of indexes that are defined for its first-level analyses, and the results of their implementation through a case study in the Emilia-Romagna Region (Italy). The method is based on the IsoCluster technique, which is associated with statistical analyses of criteria, such as the Principal Component Analysis and different data standardisation algorithms (min-max and z-score). The case study has allowed an iterative calibration of both the methodological framework and indexes.
AB - The aim of this research is to define and test a methodology for an articulated and systematic analysis of the countryside, which can lend support to urban and landscape planning processes in addition to improving knowledge of the landscape, and for the implementation of agricultural and rural development policies. We have conceived a multi-criteria and multilevel methodology that was integrated into a geographic information system (GIS) and is based on clustering and maximum likelihood classification algorithms. The proposed method focuses on various agri-environmental and socio-economic components, whose synthesis is performed by means of an interpretative key that was developed by the authors, the "Agri-Environmental Footprint", to quantify the impact of rural areas on urban systems. In particular, this paper presents the general framework of the methodology, a set of indexes that are defined for its first-level analyses, and the results of their implementation through a case study in the Emilia-Romagna Region (Italy). The method is based on the IsoCluster technique, which is associated with statistical analyses of criteria, such as the Principal Component Analysis and different data standardisation algorithms (min-max and z-score). The case study has allowed an iterative calibration of both the methodological framework and indexes.
KW - Agri-environmental footprint
KW - Agriculture
KW - Algorithms
KW - Cluster Analysis
KW - Cluster analysis
KW - Conservation of Natural Resources
KW - Countryside classification
KW - Environment
KW - Environmental Engineering
KW - GIS model
KW - Geographic Information Systems
KW - Italy
KW - Likelihood Functions
KW - Management, Monitoring, Policy and Law
KW - Peri-urban agricultural areas
KW - Principal Component Analysis
KW - Waste Management and Disposal
KW - Agri-environmental footprint
KW - Agriculture
KW - Algorithms
KW - Cluster Analysis
KW - Cluster analysis
KW - Conservation of Natural Resources
KW - Countryside classification
KW - Environment
KW - Environmental Engineering
KW - GIS model
KW - Geographic Information Systems
KW - Italy
KW - Likelihood Functions
KW - Management, Monitoring, Policy and Law
KW - Peri-urban agricultural areas
KW - Principal Component Analysis
KW - Waste Management and Disposal
UR - http://hdl.handle.net/10807/100985
UR - http://www.elsevier.com/inca/publications/store/6/2/2/8/7/1/index.htt
U2 - 10.1016/j.jenvman.2015.07.058
DO - 10.1016/j.jenvman.2015.07.058
M3 - Article
VL - 162
SP - 250
EP - 262
JO - Journal of Environmental Management
JF - Journal of Environmental Management
SN - 0301-4797
ER -