Spatial analysis methods and land-use planning models for rural areas
| Autor: | Giovanni Pollicino, Stefano Benni, Daniele Torreggiani, Zuzanna Ludwiczak, Elisabetta Carfagna, Patrizia Tassinari |
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| Rok vydání: | 2009 |
| Předmět: |
areal sampling techniques
business.industry Computer science land-use and landscape change assessment Environmental resource management spatial and agricultural planning lcsh:S multicriteria model for the analysis of rural areas knowledge frameworks of landscape resources Land-use planning lcsh:Plant culture lcsh:Agriculture Work (electrical) Order (exchange) Agriculture Landscape assessment Economic analysis lcsh:SB1-1110 Rural area business Agronomy and Crop Science Analysis method |
| Zdroj: | Italian Journal of Agronomy, Vol 4, Iss 3s (2009) |
| ISSN: | 2039-6805 1125-4718 |
| DOI: | 10.4081/ija.2009.s3.71 |
| Popis: | The work presents a brief report of the main results of a study carried out by the Spatial Engineering Division of the Department of Agricultural Economics and Engineering of the University of Bologna, within a broader PRIN 2005 research project concerning landscape and economic analysis, planning and programming. In particular, the study focuses on the design of spatial analysis methods aimed at building knowledge frameworks of the various natural and anthropic resources of rural areas. The goal is to increase the level of spatial and information detail of common databases, thus allowing higher accuracy and effectiveness of the analyses needed to achieve the goals of new generation spatial and agriculture planning. Specific in-depth analyses allowed to define techniques useful in order to reduce the increase in survey costs. Moreover, the work reports the main results regarding a multicriteria model for the analysis of the countryside defined by the research. Such model is aimed to assess the various agricultural, environmental and landscape features, vocations, expressions and attitudes, and support the definition and implementation of specific and targeted planning and programming policies. |
| Databáze: | OpenAIRE |
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