Listar INIT_Articles por título
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Spatial threshold exceedance analysis through marked point processes
Wiley- Blackwell (2012)Indicators of recurrence, persistence and, in general, distribution patterns of extremal events defined by random field threshold exceedances provide relevant information on critical phenomena for risk assessment. Such ... -
Spatio-temporal analysis with short- and long-memory dependence: a state-space approach
Springer Berlin Heidelberg (2018)This paper deals with the estimation and prediction problems of spatio-temporal processes by using state-space methodology. The spatio-temporal process is represented through an infinite moving average decomposition. This ... -
Spatio-temporal evolution modeling of environmental and natural phenomena
UCLA Department of Statistics (2012)This short paper introduces the special issue containing six selected papers coming from the International Workshop on Spatio-temporal Modeling (METMA V) held in San- tiago de Compostela (Spain), from 30 June to 2 July 2010. -
Spatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulation
Taylor and Francis Group (2022-07-29)Traffic deaths and injuries are one of the major global public health concerns. The present study considers accident records in an urban environment to explore and analyze spatial and temporal in the incidence of road ... -
Spatio-temporal point patterns on linear networks: Pseudo-separable intensity estimation
Elsevier (2020)Aside from reviewing different intensity estimation schemesfor point processes on linear networks, this paper introducestwo Voronoi-based intensity estimation approaches for spatio-temporal linear network point processes. ... -
Spatio-temporal prediction of Baltimore crime events using CLSTM neural networks
IEEE (2020-11-09)Crime activity in many cities worldwide causes significant damages to the lives of victims and their surrounding communities. It is a public disorder problem, and big cities experience large amounts of crime events. ... -
Spatio-temporal small area surveillance of the COVID-19 pandemic
Elsevier (2022)The emergence of COVID-19 requires new effective tools for epidemiological surveillance. Spatio-temporal disease mapping models, which allow dealing with small units of analysis, are a priority in this context. These models ... -
Spatio-temporal statistical methods in environmental and biometrical problems
Elsevier (2017)This is the editorial letter for the Special Issue dedicated to the VIII International Workshop on Spatio-temporal Modelling (METMAVIII) which took place in Valencia (Spain) from 1 to 3 June 2016, and to the second ... -
Spatio-temporal stochastic modelling of environmental hazards
Copyright © 2015 Elsevier (2015-09)This is the editorial letter for the Special Issue dedicated to the joint VII International Workshop on Spatio-temporal Modelling (METMAVII) and the 2014 meeting of the research group for Statistical Applications to ... -
Spatio‐temporal classification in point patterns under the presence of clutter.
Wiley (2019-08-23)We consider the problem of detection of features in the presence of clutter forspatio-temporal point patterns. In previous studies, related to the spatial context,Kth nearest-neighbor distances to classify points between ... -
Spectral–Spatial Pixel Characterization Using Gabor Filters for Hyperspectral Image Classification
Institute of Electrical and Electronics Engineers (IEEE) (2013)This paper presents a spectral-spatial pixel characterization method for hyperspectral images. The characterization is based on textural features obtained using Gabor filters over a selected set of spectral bands. This ... -
Speeding up the cyclic edit distance using LAESA with early abandon
Elsevier (2015)The cyclic edit distance between two strings is the minimum edit distance between one of this strings and every possible cyclic shift of the other. This can be useful, for example, in image analysis where strings describe ... -
Speeding up the log-polar transform with inexpensive parallel hardware: graphics units and multi-core architectures
Springer-Verlag (2012)Log-polar imaging is a kind of foveal, biologically inspired visual representation with advantageous properties in practical applications in computer vision, robotics, and other fields. While the cheapest, most flexible, ... -
Spherical panorama compositing through depth estimation
Springer (2021-09-01)In this paper, we propose to work in the 2.5D space of the scene to facilitate composition of new spherical panoramas. For adding depths to spherical panoramas, we extend an existing method that was designed to estimate ... -
Statistical significance of normalized global alignment
(2015-07-01)The comparison of homologous proteins from different species is a first step toward a function assignment and a reconstruction of the species evolution. Though local alignment is mostly used for this purpose, global alignment ... -
Stereology with cylinder probes
International Society for Stereology (2020)Intersection formulae of Croton type for general geometric probes are well known in integral geometry. For the special case of cylinders with non necessarily convex direktrix, however, no equivalent formula seems to exist ... -
Stochastic smoothing of point processes for wildlife-vehicle collisions on road networks (Epub ahead of print)
Springer (2021-09-04)Wildlife-vehicle collisions on road networks represent a natural problem between human populations and the environment, that affects wildlife management and raise a risk to the life and safety of car drivers. We propose a ... -
Strong spatial dispersion in time-modulated dielectric media
American Physical Society (2020)We present an effective medium description of time-modulated dielectric media. By taking the averaged fields over one modulation period, the relationship between them is derived, therefore defining the different ... -
Structural Complexity and Informational Transfer in Spatial Log-Gaussian Cox Processes
MDPI (2021-08-31)The doubly stochastic mechanism generating the realizations of spatial log-Gaussian Cox processes is empirically assessed in terms of generalized entropy, divergence and complexity measures. The aim is to characterize ...