Listar por autor UPNA "Ugarte Martínez, María Dolores"
Mostrando ítems 21-40 de 59
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Flexible Bayesian P-splines for smoothing age-specific spatio-temporal mortality patterns
Goicoa Mangado, Tomás; Adin Urtasun, Aritz
; Etxeberria Andueza, Jaione ; Militino, Ana F. ; Ugarte Martínez, María Dolores (SAGE, 2019)
Artículo / Artikulua 
In this paper age-space-time models based on one and two-dimensional P-splines with B-spline bases are proposed for smoothing mortality rates, where both xed relative scale and scale invariant two-dimensional penalties ... -
Hierarchical and spline-based models in space-time disease mapping
Adin Urtasun, Aritz (2017)
Tesis doctoral / Doktoretza tesia
La representación cartográfica de enfermedades (disease mapping) es un área de investigación de gran interés en epidemiología y salud pública. La gran variabilidad inherente a las medidas clásicas de estimación de riesgo ... -
High temperature and water deficit cause epigenetic changes in somatic plants of Pinus radiata D. Don
Marqués do Nascimento, Antonia Maiara; Montalbán, Itziar A.; Llamazares de Miguel, Diego; Goicoa Mangado, Tomás; Ugarte Martínez, María Dolores ; Moncaleán, Paloma (Springer, 2022)
Artículo / Artikulua
Current climate changes imply an imminent risk for forest species. In this context, somatic embryogenesis is a valuable tool to study the response of plants to different abiotic stresses. Based on this, we applied a ... -
High-dimensional order-free multivariate spatial disease mapping
Vicente Fuenzalida, Gonzalo; Adin Urtasun, Aritz ; Goicoa Mangado, Tomás; Ugarte Martínez, María Dolores (Springer, 2023)
Artículo / Artikulua
Despite the amount of research on disease mapping in recent years, the use of multivariate models for areal spatial data remains limited due to difficulties in implementation and computational burden. These problems are ... -
Hybrid pine (Pinus attenuata × Pinus radiata) somatic embryogenesis: what do you prefer, mother or nurse?
Montalbán, Itziar A.; Castander Olarieta, Ander; Hargreaves, Cathy L.; Gough, Keiko; Reeves, Cathie B.; Ballekom, Shaf van; Goicoa Mangado, Tomás ; Ugarte Martínez, María Dolores ; Moncaleán, Paloma (MDPI, 2021)
Artículo / Artikulua
Development of hybrid pines of Pinus radiata D. Don for commercial forestry presents an opportunity to diversify the current resource of plant material. Climate change and different land uses pose challenges, making ... -
Identifying extreme COVID-19 mortality risks in English small areas: a disease cluster approach
Adin Urtasun, Aritz ; Congdon, P.; Santafé Rodrigo, Guzmán ; Ugarte Martínez, María Dolores (Springer, 2022)
Artículo / Artikulua
The COVID-19 pandemic is having a huge impact worldwide and has highlighted the extent of health inequalities between countries but also in small areas within a country. Identifying areas with high mortality is important ... -
Improving the quality of satellite imagery based on ground-truth data from rain gauge stations
Militino, Ana F. ; Ugarte Martínez, María Dolores ; Pérez Goya, Unai (MDPI, 2018)
Artículo / Artikulua
Multitemporal imagery is by and large geometrically and radiometrically accurate, but the residual noise arising from removal clouds and other atmospheric and electronic effects can produce outliers that must be mitigated ... -
In spatio-temporal disease mapping models, identifiability constraints affect PQL and INLA results
Goicoa Mangado, Tomás; Adin Urtasun, Aritz ; Ugarte Martínez, María Dolores ; Hodges, James S. (Springer, 2018)
Artículo / Artikulua
Disease mapping studies the distribution of relative risks or rates in space and time, and typically relies on generalized linear mixed models (GLMMs) including fixed effects and spatial, temporal, and spatio-temporal ... -
Induction of radiata pine somatic embryogenesis at high temperatures provokes a long-term decrease in DNA methylation/hydroxymethylation and differential expression of stress-related genes
Castander Olarieta, Ander; Pereira, Catia; Sales, Ester; Meijón, Mónica; Arrillaga, Isabel; Goicoa Mangado, Tomás ; Ugarte Martínez, María Dolores ; Cañal, María Jesús; Moncaleán, Paloma; Montalbán, Itziar A. (MDPI, 2020)
Artículo / Artikulua
Based on the hypothesis that embryo development is a crucial stage for the formation of stable epigenetic marks that could modulate the behaviour of the resulting plants, in this study, radiata pine somatic embryogenesis ... -
Interpolation of the mean anomalies for cloud filling in land surface temperature and normalized difference vegetation index
Militino, Ana F. ; Ugarte Martínez, María Dolores ; Pérez Goya, Unai ; Genton, Marc G. (IEEE, 2019)
Artículo / Artikulua
When monitoring time series of remote sensing data, it is advisable to fill gaps, i.e., missing or distorted data, caused by atmospheric effects or technical failures. In this paper, a new method for filling these gaps ... -
An introduction to the spatio-temporal analysis of satellite remote sensing data for geostatisticians
Militino, Ana F. ; Ugarte Martínez, María Dolores ; Pérez Goya, Unai (Springer International Publishing, 2018)
Capítulo de libro / Liburuen kapitulua
Satellite remote sensing data have become available in meteorology, agriculture, forestry, geology, regional planning, hydrology or natural environment sciences since several decades ago, because satellites provide routinely ... -
Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences
Echegoyen Arruti, Carlos; Pérez, Aritz; Santafé Rodrigo, Guzmán ; Pérez-Goya, Unai ; Ugarte Martínez, María Dolores (Springer, 2024)
Artículo / Artikulua
Temporal sequences of satellite images constitute a highly valuable and abundant resource for analyzing regions of interest. However, the automatic acquisition of knowledge on a large scale is a challenging task due to ... -
Locally adaptive change-point detection (LACPD) with applications to environmental changes
Moradi, Mohammad Mehdi ; Montesino San Martín, Manuel ; Ugarte Martínez, María Dolores ; Militino, Ana F. (Springer, 2021)
Artículo / Artikulua
We propose an adaptive-sliding-window approach (LACPD) for the problem of change-point detection in a set of time-ordered observations. The proposed method is combined with sub-sampling techniques to compensate for the ... -
Logistic regression versus XGBoost for detecting burned areas using satellite images
Militino, Ana F. ; Goyena Baroja, Harkaitz; Pérez-Goya, Unai ; Ugarte Martínez, María Dolores (Springer, 2024)
Artículo / Artikulua
Classical statistical methods prove advantageous for small datasets, whereas machine learning algorithms can excel with larger datasets. Our paper challenges this conventional wisdom by addressing a highly significant ... -
Machine learning procedures for daily interpolation of rainfall in Navarre (Spain)
Militino, Ana F. ; Ugarte Martínez, María Dolores ; Pérez Goya, Unai (Springer, 2023)
Capítulo de libro / Liburuen kapitulua
Kriging is by far the most well known and widely used statistical method for interpolating data in spatial random fields. The main reason is that it provides the best linear unbiased predictor and it is an exact interpolator ... -
Multivariate Bayesian spatio-temporal P-spline models to analyze crimes against women
Vicente Fuenzalida, Gonzalo; Goicoa Mangado, Tomás; Ugarte Martínez, María Dolores (Oxford University Press, 2021)
Artículo / Artikulua
Univariate spatio-temporal models for areal count data have received great attention in recent years for estimating risks. However, models for studying multivariate responses are less commonly used mainly due to the ... -
On the performances of trend and change-point detection methods for remote sensing data
Militino, Ana F. ; Moradi, Mohammad Mehdi ; Ugarte Martínez, María Dolores (MDPI, 2020)
Artículo / Artikulua
Detecting change-points and trends are common tasks in the analysis of remote sensing data. Over the years, many different methods have been proposed for those purposes, including (modified) Mann-Kendall and Cox-Stuart ... -
Online relative risks/rates estimation in spatial and spatio-temporal disease mapping
Adin Urtasun, Aritz ; Goicoa Mangado, Tomás ; Ugarte Martínez, María Dolores (Elsevier, 2019)
Artículo / Artikulua
Background and objective: Spatial and spatio-temporal analyses of count data are crucial in epidemiology and other fields to unveil spatial and spatio-temporal patterns of incidence and/or mortality risks. However, fitting ... -
Pinus spp. somatic embryo conversion under high temperature: effect on the morphological and physiological characteristics of plantlets
Marqués do Nascimento, Antonia Maiara; Barroso, Priscila Alves; Ferreira do Nascimento, Naysa Flavia; Goicoa Mangado, Tomás ; Ugarte Martínez, María Dolores ; Montalbán, Itziar A.; Moncaleán, Paloma (MDPI, 2020)
Artículo / Artikulua
Climatic variations in the current environmental scenario require plants with tolerance to sudden changes in temperature and a decrease in water availability. Accordingly, this tolerance will enable successful plantations ... -
Predicting cancer incidence in regions without population-based cancer registries using mortality
Retegui Goñi, Garazi; Etxeberria Andueza, Jaione ; Riebler, Andrea; Ugarte Martínez, María Dolores (Oxford University Press, 2023)
Artículo / Artikulua
Cancer incidence numbers are routinely recorded by national or regional population-based cancer registries (PBCRs). However, in most southern European countries, the local PBCRs cover only a fraction of the country. ...
