Concept

Spatial statistics

Related publications (29)

Spatial statistics of superposition of two uncorrelated speckle patterns with polarization diversity

A detailed theoretical and experimental study on the effect of the superposition of uncorrelated speckle patterns with polarization diversity on the spatial statistics of the superposed speckle pattern is presented. It is shown that depending on the mutual ...

Elsevier2021

Geospatial Analysis of Sodium and Potassium Intake: A Swiss Population-Based Study

Stéphane Joost, Idris Guessous, Murielle Bochud, David Nicolas De Ridder

Inadequate sodium and potassium dietary intakes are associated with major, yet preventable, health consequences. Local public health interventions can be facilitated and informed by fine-scale geospatial analyses. In this study, we assess the existence of ...

MDPI2021

Exploration and Inference in Spatial Extremes Using Empirical Basis Functions

Emeric Rolland Georges Thibaud

Statistical methods for inference on spatial extremes of large datasets are yet to be developed. Motivated by standard dimension reduction techniques used in spatial statistics, we propose an approach based on empirical basis functions to explore and model ...

SPRINGER2019

Radar-rain gauge merging and discharge data assimilation for flood forecasting in Alpine catchments

Alain Tommy Foehn

Floods are responsible for one third of the economic losses induced by natural hazards throughout the world. To better protect the population and infrastructures, flood forecasting systems make us of weather forecasts to foresee floods several days in adva ...

EPFL2019

Spatial interpolation of precipitation from multiple rain gauge networks and weather radar data for operational applications in Alpine catchments

Giovanni De Cesare, Javier García Hernández, Bettina Schaefli, Alain Tommy Foehn

Increasing meteorological data availability and quality implies an adaptation of the interpolation methods for data combination. In this paper, we propose a new method to efficiently combine weather radar data with data from two heated rain gauge networks ...

2018

Spatial dependence of genetic data related to human health and livestock disease resistance: a role for geography to support the One Health approach

Stéphane Joost

The spatial dependence of located health and/or genetic data can be used to detect clusters likely to reveal disease prevalence or signatures of adaptation associated with characteristics of the local environment (high temperatures, air or water pollution) ...

2017

Geomedicine: opportunities of using spatial information to move toward more precision in public health - spatial approaches and clusters: an introduction for clinicians

Stéphane Joost, Idris Guessous

In this presentation we introduce basic knowledge about the use of located health data to detect clusters of disease prevalence. Most often, geographic maps are produced to represent health data. Medical information is transmitted through thematic chorop ...

2017

Mountain shading influence on spatial interpolation of direct shortwave radiation for snowmelt modeling

The hydrology of alpine areas is highly snow-dependent. Snowmelt, as a major component of the hydrologic cycle, influences the streams hydrology and biogeochemistry and is important to take into account in water resources management. Modeling snow distribu ...

2017

Environmental Field Estimation with Hybrid-Mobility Sensor Networks

Alcherio Martinoli, William Christopher Evans, Duarte Da Cruz Baptista Dias, Steven Adriaan Roelofsen

The remarkable accessibility of modern flying robots makes them an attractive platform for environmental sensing. However, low cost and ease of use are currently incompatible with large payloads, severely limiting the choice of sensor and ultimately modali ...

Ieee2016

Scaling Precipitation Input to Spatially Distributed Hydrological Models by Measured Snow Distribution

Michael Lehning, Nander Wever, Mathias Thierry Pierre Bavay

Accurate knowledge on snow distribution in alpine terrain is crucial for various applications such as flood risk assessment, avalanche warning or managing water supply and hydro-power. To simulate the seasonal snow cover development in alpine terrain, the ...

Frontiers Media Sa2016

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