Buscar
Analysis of tornado reports through replicated spatiotemporal point patterns
(WileyRoyal Statistical Society, 2019-09)
Understanding the spatiotemporal distribution of tornado events is increasingly imperative, not only because of the natural phenomenon itself and its tremendous complexity but also because we can potentially reduce the ...
Analysing highly complex and highly structured point patterns in space
(Elsevier, 2017)
The purpose of this paper is to discuss two recently introduced approaches that focus on structures of different events that occur randomly in space: spatial dependence graph models (SDGMs), and network intensity functions. ...
Modelling count data based on weakly dependent spatial covariates using a copula approach: application to rat sightings
(Springer, 2017-09)
Not all environmental processes are observed in a way that allows a straight forward easy modelling. Nevertheless, insights can also be gained by exploring weakly dependent covariates paying attention to details of the ...
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 ...
A simple two-step method for spatio-temporal design-based balanced sampling
(Springer Berlin Heidelberg, 2017)
We introduce a two-step method to perform spatio-temporal balanced sampling in a design-based approach. For populations with spatio-temporal trends and with anisotropic effects in the variable of interest, the prediction ...
Quadratic phase coding for SNR improvement in time-expanded phase-sensitive OTDR
(Optical Society of America, 2021-09-01)
Time-expanded phase-sensitive optical time-domain reflectometry (TE − 8OTDR) is a dual-comb-based distributed
optical fiber sensing technique capable of providing centimeter scale resolution while maintaining a remarkably
low ...
Modeling the Influence of Places on Crime Risk Through a Non-Linear Effects Model: a Comparison with Risk Terrain Modeling
(Springer, 2021)
Analyzing how the proximity to certain features or particular places in a city increases or decreases crime risk across space is a fundamental issue in quantitative criminology from both explanatory and predictive perspectives. ...
Evaluating Indoor Localization Solutions in Large Environments Through Competitive Benchmarking: The EvAAL-ETRI Competition
(IEEE, 2015)
The increasing demand for services and higher comfort levels inside buildings, together with the rise in time spent indoor, ensure an upward trend in indoor localization demand for the future. Evaluation of indoor localization ...
A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany
(Springer-Verlag GmbH Germany, part of Springer Nature, 2021-04-23)
The novel coronavirus disease (COVID-19) has spread rapidly across the world in a short period of time and with a
heterogeneous pattern. Understanding the underlying temporal and spatial dynamics in the spread of COVID-19 ...
Two-level classifier ensembles for credit risk assessment
(Elsevier, 2012)
Many techniques have been proposed for credit risk assessment, from statistical models to artificial intelligence methods. During the last few years, different approaches to classifier ensembles have successfully been ...