Workshop on spatial statistics (SAMOS, 2007)

Jan 11 2009 226

Workshop on spatial statistics (SAMOS, 2007) Podcast artwork

Ce workshop organisé sur une journée était consacré aux modèles spatio et spatio temporels. Six chercheurs étrangers de renommée internationale dans le domaine, ont été invités : N. Cressie, M. Genton, C. Glasbey, V. Isham, S. Richardson, H. Rue. Le thème plus précis du workshop était sur la modélisation hiérarchique à l'aide de processus latents. Les exposés ont abordé aussi bien les problèmes théoriques que les aspects méthodologiques, avec applications à des données réelles. Les supports de présentation sont disponibles sur l'Espace pédagogique interactif (http://epi.univ-paris1.fr/samos-workshop-spatial-statistic). Recommandé à : étudiant de la discipline, chercheur - Catégorie : conférences - Année de réalisation : 2007

Subscribe on Podcast Addict

01 - Predicting spatial exceedance regions - Noël Cressie

Jan 11 2009 43 mins

In geostatistics, a common problem is to predict a spatial exceedance and its exceedance region. This is scientifically important since unusual events tend to strongly impact the environment. Here, we use classes of loss functions based on image metrics (e.g., Baddeley's loss function) to predict the spatial-exceedance region. We then propose a joint loss to predict a spatial quant

02 - Questions - Noël Cressie

Jan 11 2009 9 mins

Noël Cressie - Ohio State University Bande son disponible au format mp3 Durée : 10 mn

03 - Modelling and testing properties of space-time covariance functions - Marc Genton

Jan 11 2009 45 mins

Modeling space-time data often relies on parametric covariance models and various assumptions such as full symmetry and separability. These assumptions are important because they simplify the structure of the model and its inference, and ease the possibly extensive computational burden associated with spacetime data sets. We review various space-time covariance models and propose a

04 - Questions - Marc Genton

Apr 23 2007 4 mins

Marc Genton - University of Geneva Bande son disponible au format mp3 Durée : 5 mn

05 - Spatio-temporal weather models - Chris Glasbey

Apr 22 2007 50 mins

We develop contrasting spatio-temporal models for two weather variables: solar radiation and rainfall. For solar radiation the aim is to assess the performance of area networks of photo-voltaic cells. Although radiation measured at a sufficiently fine temporal scale has a bimodal marginal distribution (Glasbey, 2001), averages of 10-minute or longer duration can be transformed to b

06 - Questions - Chris Glasbey

Apr 21 2007 13 mins

Chris Glasbey - Biomathematics and Statistics Scotland Bande son disponible au format mp3 Durée : 14 mn

07 - Space-time models for soil moisture dynamics - Valérie Isham

Apr 20 2007 47 mins

Soil moisture provides the physical link between soil, climate and vegetation. It increases via the infiltration of rainfall and decreases through evapotranspiration, run-off and leakage, all these effects being dependent on the existing soil moisture level. During wet periods, soil moisture tends largely to be driven by the topography, while evapotranspiration has more influence i

08 - Questions - Valérie Isham

Apr 19 2007 7 mins

Valérie Isham - University College, London Bande son disponible au format mp3 Durée : 8 mn

09 - Analysis of spacetime patterns of disease risk - Sylvia Richardson

Apr 18 2007 56 mins

The fields of geographical epidemiology and public health surveillance have benefited from combined advances in hierarchical model building and in geographical information systems. Exploring and characterising a variety of spatial patterns of diseases at a fine geographical resolution has become possible (Banerjee, Carlin and Gelfand 2004). Insight into the sensitivity of the resul

10 - Questions - Sylvia Richardson

Apr 17 2007 13 mins

Sylvia Richardson - Imperial College, London Bande son disponible au format mp3 Durée : 13 mn