2016
DOI: 10.1016/j.landusepol.2016.06.023
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Spatial analysis of selected biodiversity features in protected areas: a case study in Tuscany region

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Cited by 23 publications
(22 citation statements)
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“…Then, an extensive compilation was made of physical, demographic, and socioeconomic variables (including those relating to rural development) on a municipal level, to be correlated through PCA using SPSS statistical software (2016, IBM, New York, NY, USA). For a better graphic visualization of the results on the territory, a GIS (geographical information system) has been used, which is one of the most appropriate information management tools, since it allows association of alphanumeric information to a set of cartographic information, and a perfect tool to analyse the spatial location [26], distribution, association, interaction, and evolution [27] of EAFRD funding in the selected study area, as well as an adequate multiple criteria analysis tool [28].…”
Section: Methodsmentioning
confidence: 99%
“…Then, an extensive compilation was made of physical, demographic, and socioeconomic variables (including those relating to rural development) on a municipal level, to be correlated through PCA using SPSS statistical software (2016, IBM, New York, NY, USA). For a better graphic visualization of the results on the territory, a GIS (geographical information system) has been used, which is one of the most appropriate information management tools, since it allows association of alphanumeric information to a set of cartographic information, and a perfect tool to analyse the spatial location [26], distribution, association, interaction, and evolution [27] of EAFRD funding in the selected study area, as well as an adequate multiple criteria analysis tool [28].…”
Section: Methodsmentioning
confidence: 99%
“…Riccioli et al (2016) use this technique to analyse the degree of some relevant features of biodiversity in the Region of Tuscany to solve problems about management. Lu et al (2014), Reza et al (2013) and Walter et al (2016) use Spatial MCA to deal with problems about land use, zoning and species, respectively.…”
Section: Multi-criteria Methodsmentioning
confidence: 99%
“…These diverse purposes clearly emerged when examining individual studies in our review, as highlighted in the Supporting Information (Table S1, columns 5 and 12). In Riccioli et al (2016), for example, the objective of the MCDA was to assess the effectiveness of existing environmental policies. To this end, their main results consisted of spatial clusters identifying areas with high biodiversity based on a set of criteria which were then crosschecked to see whether they overlap with existing protected areas in the region.…”
Section: Decisionmentioning
confidence: 99%