Search results for " Spatial Analysis"
showing 10 items of 13 documents
Geographical distribution of unemployment in Italy. An Analysis of provincial differences in Italy
2007
Unemployment rates appear to vary widely at a subregional (e.g., local or provincial) level. Using spatial econometric models for spatial autocorrelation, this paper focuses attention on the spatial structure of regional unemployment disparities of Italian provinces. On the basis of findings from the economic literature and of the available socio-economic data, various model specifications, including different explanatory variables, are tested to investigate the geographical distribution of unemployment in the 103 provinces of Italy for the years 1998 and 2003. The results suggest that there is a clear explanation of unemployment differentials in terms of spatial equilibrium and disequilibr…
At the intersection of cultural and natural heritage: Distribution and conservation of the type localities of Italian endemic vascular plants
2017
Abstract We conducted a GIS spatial analysis with the aim of providing the first quantitative large-scale overview of the distribution patterns of 1536 type localities ( loci classici ) of 1216 Italian endemic vascular plants and their relationship with a set of descriptive variables. Whereas some variables were used to model the presence-absence distribution patterns of the type localities for the whole set of endemics as well as for the subset of narrow endemics, others (e.g., presence inside or outside protected areas and Italian Important Plant Areas) were considered with the purpose of assessing potential assets or risks for conservation. The largest number of type localities was found…
Hierarchical Bayesian models for analysing fish biomass data. An application to Parapenaeus longirostris biomass data
2022
The Mediterranean International Trawl Survey (MEDITS) programme provides spatially referenced ecological data. We adopted a hierarchical Bayesian model to analyse Parapenaeus longirostris biomass data. The model comprises three parts, each of which identifies: the variability due to the explanatory variables, the variability due to the spatial domain (seen as a Gaussian Process) and the irregular component modelled as white noise. The estimated parameters show that some seabed characteristics affect biomass quantity and that the estimated behaviour of the Gaussian Process changes over different groups of years.
On a new robust workflow for the statistical and spatial analysis of fracture data collected with scanlines (or the importance of stationarity)
2020
Abstract. We present an innovative workflow for the statistical analysis of fracture data collected along scanlines, composed of two major stages, each one with alternative options. A prerequisite in our analysis is the assessment of stationarity of the dataset, which is motivated by statistical and geological considerations. Calculating statistics on non-stationary data can be statistically meaningless, and moreover the normalization and/or sub-setting approach that we discuss here can greatly improve our understanding of geological deformation processes. Our methodology is based on performing non-parametric statistical tests, which allow detecting important features of the spatial distrib…
LiDAR-derived DTM for historical landscape evaluation: the case study of the “Harvesting Memories” project (Castro Valley and Mt. Barraù, Corleone – …
2016
The project “Harvesting Memories” is focused on the analysis of the long-term transformation of the cultural landscape in a rural area of Central-Western Sicily (Castro Valley and Mt. Barraù, Corleone – Palermo). In order to quickly outline the history of the territory with an acceptable precision, our survey aimed at covering and sampling as much surface as possible, according to time and human resources available. To reach this goal, in the research design we opted for qualitative surveys. The choice of the fields to be surveyed was based on GIS analysis — our predictive model took in consideration slope, water sources and presence of points with high visibility in the landscape —, that h…
Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study …
2020
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Within the symbolic world of the prehistoric hunters: A GIS-based and 3D model analysis of sites with complexes of linear incisions in western Sicily
2021
Abstract The prehistoric peopling of Sicily has left scattered traces of symbolic activities through well-known rock art expressions in caves and rock shelters located all around the island (among the most significant, the sites of Addaura, Racchio and Genovese). A peculiar phenomenon is the incision of linear signs, often grouped on the same rocky walls, hidden in fissures or placed at the entrance of the underground chambers of caves. In this report, we investigate a sample of these graphic expressions from a spatial and technical point of view. A GIS-based approach presents the territorial pattern providing insight, on a macroscale, into the intentional positioning of the sign complexes.…
The Spatial Overlap of Police Calls Reporting Street-Level and Behind-Closed-Doors Crime: A Bayesian Modeling Approach
2021
Traditionally, intimate-partner violence has been considered a special type of crime that occurs behind closed doors, with different characteristics from street-level crime. The aim of this study is to analyze the spatial overlap of police calls reporting street-level and behind-closed-doors crime. We analyzed geocoded police calls in the 552 census-block groups of the city of Valencia, Spain, related to street-level crime (N = 26,624) and to intimate-partner violence against women (N = 11,673). A Bayesian joint model was run to analyze the spatial overlap. In addition, two Bayesian hierarchical models controlled for different neighborhood characteristics to analyze the relative risks. Resu…
The polarization of European agriculture: spatial and dynamic features within a non parametric framework
2009
We present a study of the polarization of European agriculture at NUTS2 regional level. The analysis of selected indicators focuses on spatial and dynamic features of distributions. We make use of the non parametric technique of stochastic kernel which allows to explore the features of a whole distribution and to point out the clustering of statistical units.
Stochastic kernel and conditioning schemes: a study about the influence of spatial factor on agriculture of EU NUTS2
2009
Besides to be an useful methodology for the detection of distribution dynamics of indicators, stochastic kernel has been generalized to a regression-like rationale (Quah, 1997). The latter allows to determine how a distribution is influenced by a "factor", through a "conditioning scheme" which is a set of rules stating how the original distribution is altered in order to obtain its "conditioned" version. This paper aims to study the influence of the "spatial factor" on distributions of selected agriculture impact indicators across EU NUTS2. The present work offers an empirical analysis of dynamics of selected indicators of agriculture across NUTS2. Our scope is to give an overlook of EU ter…