Geomedicine: opportunities of using spatial information to move toward more precision in public health - spatial approaches and clusters: an introduction for clinicians
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In \cite{martinelli_2004_open_challenges_in}, a version of Relative Map Filter (\RMF) is proposed to solve the simultaneous localization and map building (SLAM) problem. In the \RMF, the map states contain only quantities invariant under shift and rotat ...
This thesis is a contribution to multivariate extreme value statistics. The tail of a multivariate distribution function is characterized by its spectral distribution, for which we propose a new semi-parametric model based on mixtures of Dirichlet distribu ...
In its natural framework, genetic information is embedded within a geographic context. Plants and animals are directly influenced by the specific characteristics of their surrounding environment. Therefore, spatial information is a potentially important el ...
A non-parametric method of distribution estimation for univariate data is presented. The idea is to adapt the smoothing spline procedure used in regression to the estimation of distributions via a scatterplot smoothing of theempirical distribution function ...
The distribution of soil microorganisms is generally believed to be patchy and to reflect habitat heterogeneity. Despite this general rule, the amount of existing data oil species distribution patterns is scarce. Testate amoebae (Protozoa; Rhizopoda) are a ...
In this paper the metric and topological paradigm are integrated in a single system for both localization and map building. A global topological map connects local metric maps, allowing a compact environment model, which does not require global metric cons ...
We applied a spatial approach to detect regions of the genome of the common frog (Rana temporaria) which are possibly selected along an altitude gradient. The identification of selected regions in the genome is important as it gives the possibility to unde ...
The paper deals with the novel application of Support Vector Regression (SVR) for the analysis and modelling of spatially distributed environmental data. Mapping of soil pollution is considered as a real case study. Variography is widely used to control th ...
In this paper the metric and topological paradigms are integrated in a hybrid system for both localization and map building. A global topological map connects local metric maps, allowing a compact environment model, which does not require global metric con ...
We introduce an integrated framework for detecting brain activity from fMRI data, which is based on a spatial discrete wavelet transform. Unlike the standard wavelet-based approach for fMRI analysis, we apply the suitable statistical test procedure in the ...
