Search results for "Spatial"
showing 10 items of 2121 documents
Children's Reading of Printed Text and Hypertext with Navigation Overviews: The Role of Comprehension, Sustained Attention, and Visuo-Spatial Abiliti…
2012
Hypertexts include new structural features, such as navigable graphical overviews, that dramatically change the way students interact with texts. Nevertheless, at school students traditionally practice literacy skills appropriate for reading and comprehending printed texts. We explored the possibility that those skills might not be the same as the ones required to master hypertext reading. Specifically, we tested the hypothesis that hypertext structural features, such as navigable graphical overviews, might scaffold students with low comprehension and sustained-attention abilities, but demand higher involvement of visuo-spatial skills. Results from a group of 6th-grade students only partia…
Benefits of learning technologies in medical training, from full-scale simulators to virtual reality and multimedia presentations
2010
The rapid growth of technology provides a wide range of new learning tools such as multimedia presentations of materials, interactive animated images for anatomy learning, 3-D models, full-scale (FS) patient simulators, and microworld training software, which are virtual reality tools that include high-level interactive haptic properties. These new learning approaches have been recently used in medical training and education.
A fast fusion technique for fingerprint and iris spatial descriptors in multimodal biometric systems
2014
Multimodal biometric identification systems aim to combine two or more physical or behavioral traits to provide optimal False Acceptance Rate (FAR) and False Rejection Rate (FRR). In this paper a new fusion technique for fingerprint and iris spatial descriptors with a low execution time is presented. The report focuses on spatial fusion strategies, offering and proposing a modern perspective on multi-biometrics. In greater detail, a spatial-based approach and a homogeneous biometric vector, integrating iris and fingerprint data, are generated, fused, and processed for the overall system matching score. The goal of this approach is to demonstrate that, by using spatial iris features followin…
Exploring the effect of absence selection on landslide susceptibility models: A case study in Sicily, Italy
2016
Abstract A statistical approach was employed to model the spatial distribution of rainfall-triggered landslides in two areas in Sicily (Italy) that occurred during the winter of 2004–2005. The investigated areas are located within the Belice River basin and extend for 38.5 and 10.3 km 2 , respectively. A landslide inventory was established for both areas using two Google Earth images taken on October 25th 2004 and on March 18th 2005, to map slope failures activated or reactivated during this interval. Geographic Information Systems (GIS) were used to prepare 5 m grids of the dependent variables (absence/presence of landslide) and independent variables (lithology and 13 DEM-derivatives). Mul…
Multivariate nonparametric tests in a randomized complete block design
2003
AbstractIn this paper multivariate extensions of the Friedman and Page tests for the comparison of several treatments are introduced. Related unadjusted and adjusted treatment effect estimates for the multivariate response variable are also found and their properties discussed. The test statistics and estimates are analogous to the traditional univariate methods. In test constructions, the univariate ranks are replaced by multivariate spatial ranks (J. Nonparam. Statist. 5 (1995) 201). Asymptotic theory is developed to provide approximations for the limiting distributions of the test statistics and estimates. Limiting efficiencies of the tests and treatment effect estimates are found in the…
Multivariate analysis of defensive phase in football: Identification of successful behavior patterns of 2014 Brazil FIFA World Cup
2021
The aim of this study was to identify variables associated with direct recovery of the ball during defensive transitions in elite soccer and to propose a model with certain guarantees of success based on a multivariate analysis in which binary logistic regression was used to explore interaction between variables. 1,722 defensive transitions were analysed in the final stages of the FIFA World Cup 2014 in Brazil and investigated the following variables: duration of defensive transition; possession loss zone; position of players at the start and end of the defensive transitions, defensive organization, general defensive approach, period of the match, position of defence line, zone in which the…
On the use of adaptive spatial weight matrices from disease mapping multivariate analyses
2020
Conditional autoregressive distributions are commonly used to model spatial dependence between nearby geographic units in disease mapping studies. These distributions induce spatial dependence by means of a spatial weights matrix that quantifies the strength of dependence between any two neighboring spatial units. The most common procedure for defining that spatial weights matrix is using an adjacency criterion. In that case, all pairs of spatial units with adjacent borders are given the same weight (typically 1) and the remaining non-adjacent units are assigned a weight of 0. However, assuming all spatial neighbors in a model to be equally influential could be possibly a too rigid or inapp…
Incorporating classified dispersal assumptions in predictive distribution models – A case study with grasshoppers and bush-crickets
2011
Abstract Current and future species distributions depend on environmental conditions, but the ability of species to shift their range boundaries or to expand their distribution ranges in response to global change also depends on their dispersal capacity. Dispersal capacity, however, has often been neglected in previous studies that either assumed no-dispersal or full dispersal, both of which are unrealistic for most taxa. The aims of this study are (i) to identify the predictors of the present spatial distribution on a regional scale for 13 grasshoppers and bush-crickets, and (ii) to derive predictions of their future distributions under climate change by applying different dispersal capaci…
Pre- and post-ictal brain activity characterization using combined source decomposition and connectivity estimation in epileptic children
2019
In this research, the study of functional connectivity between sources of electroencephalogram (EEG) activity assessed for different classes (well before seizure, preictal and post-ictal) was performed. EEG recordings were acquired from 12 subjects with focal epilepsy. Then, ten common spatial patterns (CSP) were obtained for EEG segments describing 95% of Riemannian distance between pairs of classes, followed by estimation of multivariate autoregressive (MVAR) models’ coefficients. The MVAR models were further used to extract coherence as a functional connectivity measures. Our results show that the coherence between CSP sources differs between baseline and pre-ictal segments: it has the l…
Évolution du paysage des franges urbaines à travers le temps
2019
National audience; Les paysages sont devenus un enjeu pour les territoires qui veulent offrir un cadre de vie agréable aux populations. C’est un facteur clé dans le choix des ménages pour installer leur logement, au même titre par exemple que l’accès aux commerces et services (Cavailhès et al., 2007). Ce phénomène peut s’observer plus spécifiquement dans les franges urbaines, zones où des surfaces bâties s’implantent au dépens des espaces agricoles ou boisés. Cette urbanisation progressive engendre une dynamique des paysages bien particulière, avec de fortes modifications dans des délais qui peuvent être très courts (Barnes et al., 2001). La qualité visuelle du paysage est alors modifiée à …