2018
DOI: 10.1007/978-3-319-95174-4_8
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Spatial Indicators to Evaluate Urban Fragmentation in Basilicata Region

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Cited by 36 publications
(21 citation statements)
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“…The regional territory was characterized, to the greatest extent, by a fragmentation degree varying from low, in the first case, to medium-low in the second case. These results show consistency with those obtained using the density index of aggregates (DA) [17], where most municipalities showed a low degree of fragmentation in both variation between 1950 and 1989 and between 1989 and 2013.…”
Section: Discussionsupporting
confidence: 87%
See 1 more Smart Citation
“…The regional territory was characterized, to the greatest extent, by a fragmentation degree varying from low, in the first case, to medium-low in the second case. These results show consistency with those obtained using the density index of aggregates (DA) [17], where most municipalities showed a low degree of fragmentation in both variation between 1950 and 1989 and between 1989 and 2013.…”
Section: Discussionsupporting
confidence: 87%
“…If the rural landscape is the main area where the impact of urban sprinkling phenomena generates problems, from our research perspective [17], it was relevant to consider the fragmentation process of the natural landscape. We considered two main components: the disappearance of natural environments and reduction of their surface, and the progressive insularization and redistribution of residual environments in space.…”
Section: Introductionmentioning
confidence: 99%
“…If sprawl means "the spreading of urban developments (such as residential and commercial areas) over undeveloped land near cities", "sprinkling" expresses "scattered drop-or speck-like distribution". Sprinkling is a type of settlement that has already been experimentally classified using ad hoc indicators too [31][32][33][34][35] it.wikipedia.org/wiki/Sprinkling.…”
Section: Resultsmentioning
confidence: 99%
“…Concerning the building stocks, the dataset was collected on the basis of the regional technical map [30] and dataset deriving from previous works [14,22] carried out on the same study area and considering the same time intervals of the RES. The classification of wind turbines according to power output provides a clear picture of the current status of the study area in the three periods.…”
Section: Dataset Constructingmentioning
confidence: 99%