Search results for " Spatial"
showing 10 items of 582 documents
Remote sensing of sun-induced chlorophyll fluorescence at different scales
2014
In this contribution we present activities and selected results obtained in recent studies and campaigns conducted in the context of the FLuorescence EXplorer (FLEX) mission. FLEX is a candidate mission for the ESA 8th Earth Explorer and large efforts are currently dedicated to the development of an implementation scheme for an accurate mapping of fluorescence from the selected spaceborne sensor and mission configuration. Field and airborne data collected in different experimental campaigns, together with simulated data, have been used to demonstrate the feasibility of fluorescence retrievals and the potential of exploiting high spatial resolution fluorescence maps for a better understandin…
SIFT Matching by Context Exposed
2023
This paper investigates how to step up local image descriptor matching by exploiting matching context information. Two main contexts are identified, originated respectively from the descriptor space and from the keypoint space. The former is generally used to design the actual matching strategy while the latter to filter matches according to the local spatial consistency. On this basis, a new matching strategy and a novel local spatial filter, named respectively blob matching and Delaunay Triangulation Matching (DTM) are devised. Blob matching provides a general matching framework by merging together several strategies, including rank-based pre-filtering as well as many-to-many and symmetri…
Classical automata on promise problems
2015
Promise problems were mainly studied in quantum automata theory. Here we focus on state complexity of classical automata for promise problems. First, it was known that there is a family of unary promise problems solvable by quantum automata by using a single qubit, but the number of states required by corresponding one-way deterministic automata cannot be bounded by a constant. For this family, we show that even two-way nondeterminism does not help to save a single state. By comparing this with the corresponding state complexity of alternating machines, we then get a tight exponential gap between two-way nondeterministic and one-way alternating automata solving unary promise problems. Secon…
Bayesian Analysis of Population Health Data
2021
The analysis of population-wide datasets can provide insight on the health status of large populations so that public health officials can make data-driven decisions. The analysis of such datasets often requires highly parameterized models with different types of fixed and random effects to account for risk factors, spatial and temporal variations, multilevel effects and other sources on uncertainty. To illustrate the potential of Bayesian hierarchical models, a dataset of about 500,000 inhabitants released by the Polish National Health Fund containing information about ischemic stroke incidence for a 2-year period is analyzed using different types of models. Spatial logistic regression and…
The interrelation between socio-spatial and institutional context and family business characteristics
2019
Tomaselli, Agrò, Fazio e Fricano show how family firms draw strength from the regional institutional context (where the region is properly intended as an administrative sub-unit at national level), as well as contribute to its evolution via their own actions. The variation in family competencies and internal dynamics lead to differences in family firms's overlla performance. The relationship with the regional institutional system in mutually sinergic - even marginal family businesses add their voice to whole, resulting in grater collective political influence, and at the same time the institutions at the regional level provide some degree of legitimacy to all players.
‘Can I tell?’ : Children’s participation and positioning in a secretive atmosphere in family therapy
2020
As a multifaceted phenomenon, family secrets affect interaction in the therapeutic system. This qualitative study, applying the multi‐actor Dialogical Methods for Investigations of Happening of Change, explored how children participated and positioned themselves in family therapy in a climate of family secrets. The results showed that the children were active co‐participants in the complex dynamics of a secretive atmosphere, involving themselves in the paradoxical processes of reconstructing and deconstructing the secretive and unsafe climate. In family therapy, a child’s symptomatic behaviour can function as a visible ‘cover story’ for invisible constructions of secrets, preventing sensiti…
Spatial Simultons in 2D Photonic Crystals of Nonlinear Origin
2007
We observed for the very first time quadratic spatial solitons (simultons) in a two dimensional photonic lattice defined by periodic sign inversion of its susceptibilty. This is the first demonstration of quadratic self-confinement in a 2D purely nonlinear photonic crystal.
Spatial and sectoral effects on firm entry and exit. Evidence from Italy.
2012
A spatial multilevel analysis of Italian SMEs Productivity
2009
In this paper, we adapt multilevel analysis methods to investigate the spatial variability of SMEs productivity across the Italian territory, and account for differences in the socio-economic context. Our results suggest that to properly capture the variability of the data, it is important to allow for both spatial mean and slope effects. Social decay has the expected negative impact. However, while this effect is larger on firms with smaller capital intensity, firms with higher capital intensity seem to be less affected by geography. Greater territorial heterogeneity emerges among those firms with lower capital to labour ratios.
A Spatial Multilevel Analysis of Italian SMEs Productivity
2009
Abstract In this paper, we adapt multilevel analysis methods to investigate the spatial variability of SMEs' productivity across the Italian territory, and account for differences in the socio-economic context. Our results suggest that to properly capture the variability of the data, it is important to allow for both spatial mean and slope effects. Social decay has the expected negative impact. However, while this effect is larger on firms with smaller capital intensity, firms with higher capital intensity seem to be less affected by geography. Greater territorial heterogeneity emerges among those firms with lower capital to labour ratios. Une analyse spatiale a plusieurs niveaux de la prod…