scholarly journals Spatial data fusion and analysis for soil characterization: a case study in a coastal basin of south-western Sicily (southern Italy)

2012 ◽  
Vol 7 (1) ◽  
pp. 4
Author(s):  
Donato Sollitto ◽  
Daniela De Benedetto ◽  
Annamaria Castrignanò ◽  
Giuseppina Crescimanno ◽  
Giuseppe Provenzano ◽  
...  
Keyword(s):  
Data Fusion ◽  
Spatial Data ◽  
Southern Italy ◽  
Soil Characterization ◽  
Western Sicily ◽  
Coastal Basin

An integrated 3D approach to assess the geothermal heat-exchange potential: The case study of western Sicily (southern Italy)

2016 ◽  
Vol 97 ◽  
pp. 611-624 ◽  
Author(s):  
Alessandro Santilano ◽  
Assunta Donato ◽  
Antonio Galgaro ◽  
Domenico Montanari ◽  
Antonio Menghini ◽  
...  
Keyword(s):  
Heat Exchange ◽  
Southern Italy ◽  
Exchange Potential ◽  
Geothermal Heat ◽  
Western Sicily

Normative Ecologies of Planning: Understanding Norms in Action

2021 ◽  
pp. 0739456X2110211
Author(s):  
Laura Lieto
Keyword(s):  
Southern Italy ◽  
Historic Center ◽  
Rules Of The Game

The paper deals with planning norms in action, assuming that planning regulation is one among many kinds of regulation with which planners must contend. Norms operate and co-evolve within a normative ecology where institutions collaborate and compete through overlapping and often incommensurate normative frameworks and rules of the game. The importance of socio-materiality in how different regulations work in practice is emphasized. To develop the normative ecology argument, a case study is presented on the effects of Airbnb tourism on the historic center of Napoli in southern Italy.

Application of PCA with georeferenced data in the tourism industry: A case study in the province of Córdoba, Argentina

2021 ◽  
pp. 135481662098768
Author(s):  
Laura I Luna
Keyword(s):  
Decision Making ◽  
Principal Components ◽  
Spatial Data ◽  
Local Development ◽  
Value Added ◽  
Tourism Industry ◽  
Methodological Innovation ◽  
Spatial Principal Components ◽  
Components Analysis

The spatial analysis of tourism industries provides information about their structure, which is necessary for decision-making. In this work, tourism industries in the departments of Córdoba province, Argentina, for the 2001–2014 period were mapped. Multivariate methods with and without spatial restrictions (spatial principal components (sPCs) analysis, MULTISPATI-PCA, and principal components analysis (PCA), respectively) were applied and their performance was compared. MULTISPATI-PCA yielded a higher degree of spatial structuring of the components that summarize tourism activities than PCA. The methodological innovation lies in the generation of statistics for multidimensional spatial data. The departments were classified according to the participation of tourism activities in the value added of tourism using the sPCs obtained as input of the cluster fuzzy k-means analysis. This information provides elements necessary for appropriately defining local development strategies and, therefore, is useful to improve decision-making.

scholarly journals Constructing Damage Indices Based on Publicly Available Spatial Data: Exemplified by Earthquakes and Volcanic Eruptions in Indonesia

2021 ◽  
Author(s):  
Emmanuel Skoufias ◽  
Eric Strobl ◽  
Thomas Tveit
Keyword(s):  
Spatial Data ◽  
Volcanic Ash ◽  
Satellite Images ◽  
Fragility Curves ◽  
Volcanic Eruptions ◽  
Damage Indices ◽  
Damage Indicator ◽  
Time Period ◽  
Peak Ground Motion

AbstractThis article demonstrates the construction of earthquake and volcano damage indices using publicly available remote sensing sources and data on the physical characteristics of events. For earthquakes we use peak ground motion maps in conjunction with building type fragility curves to construct a local damage indicator. For volcanoes we employ volcanic ash data as a proxy for local damages. Both indices are then spatially aggregated by taking local economic exposure into account by assessing nightlight intensity derived from satellite images. We demonstrate the use of these indices with a case study of Indonesia, a country frequently exposed to earthquakes and volcanic eruptions. The results show that the indices capture the areas with the highest damage, and we provide overviews of the modeled aggregated damage for all provinces and districts in Indonesia for the time period 2004 to 2014. The indices were constructed using a combination of software programs—ArcGIS/Python, Matlab, and Stata. We also outline what potential freeware alternatives exist. Finally, for each index we highlight the assumptions and limitations that a potential practitioner needs to be aware of.

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