Publications related to Geostatistics

Integration of ecosystem services in regional spatial plans in Western Switzerland

The concept of ecosystem services (ES) is regarded as an increasingly important framework and tool to support spatial planning. A limited understanding of how ES knowledge is used in spatial plans constrains our ability to learn from, replicate, and convey ...

2019

Stationary time-vertex signal processing

Nathanaël Perraudin, Andreas Loukas

This paper considers regression tasks involving high-dimensional multivariate processes whose structure is dependent on some known graph topology. We put forth a new definition of time-vertex wide-sense stationarity, or joint stationarity for short, that g ...

2019

Detecting overlapping spatial clusters of high sugar-sweetened beverage intake and high body mass index in a general population: a cross-sectional study

Stéphane Joost, Idris Guessous, David Nicolas De Ridder, Beatrice Bacchilega

Background: Evidence suggests that sugar-sweetened beverage (SSB) intake frequency is positively associated with the risk of obesity and diabetes. We aimed to identify populations and areas in high need for interventions to reduce SSB consumption using a f ...

2018

Mechanical anisotropy of Opalinus Clay shale: a multiscale approach

Lyesse Laloui, Alessio Ferrari, Eleonora Crisci, Aldo Madaschi

The mechanical properties of Opalinus Clay shale are strongly affected by the mineralogical composition of the layers and by their spatial arrangement at centimetre to decimetre scales. For this reason, accurate laboratory characterization of the mechanica ...

LMS-EPFL2018

GPU Rasterization for Real-Time Spatial Aggregation over Arbitrary Polygons

Anastasia Ailamaki, Eleni Tzirita Zacharatou

Visual exploration of spatial data relies heavily on spatial aggregation queries that slice and summarize the data over different regions. These queries comprise computationally-intensive point-in-polygon tests that associate data points to polygonal regio ...

VLDB Endowment Inc.2017

Variability of the raindrop size distribution across scales in Mediterranean rainfall : characterisation and stochastic simulation

Timothy Hugh Raupach

Measurement of rain is made difficult by the high variability of the precipitation process, down to raindrop scale. Point measurements are generally accurate, but their lack of spatial representativeness is a significant limitation. Weather radars indirect ...

EPFL2016

The effects of spatial attention on temporal integration

Michael Herzog, Marc Michael Lauffs

Feature fusion reflects temporal integration. Previous studies mostly employed foveal presentations with no attention manipulation. In this study we examined the effects of sustained spatial attention on temporal integration using feature-fusion with perip ...

Sage Publications Ltd2016

Point rainfall statistics for ecohydrological analyses derived from satellite integrated rainfall measurements

Andrea Rinaldo

Satellite rainfall measurements, nowadays commonly available, provide valuable information about the spatial structure of rainfall. In areas with low-density rain gage networks, or where these networks are nonexistent, satellite rainfall measurements can a ...

Amer Geophysical Union2015

Observational constraints on the distribution, seasonality, and environmental predictors of North American boreal methane emissions

Jed Oliver Kaplan, Bowen Zhang

Wetlands comprise the single largest global source of atmospheric methane, but current flux estimates disagree in both magnitude and distribution at the continental scale. This study uses atmospheric methane observations over North America from 2007 to 200 ...

Amer Geophysical Union2014

On the Linearity of Bayesian Interpolators for Non-Gaussian Continuous-Time AR(1) Processes

Michaël Unser, Philippe Thévenaz, Arash Amini, John Paul Ward

Bayesian estimation problems involving Gaussian distributions often result in linear estimation techniques. Nevertheless, there are no general statements as to whether the linearity of the Bayesian estimator is restricted to the Gaussian case. The two comm ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Geostatistics of Dependent and Asymptotically Independent Extremes

Anthony Christopher Davison, Emeric Rolland Georges Thibaud, Raphaël Huser

Spatial modeling of rare events has obvious applications in the environmental sciences and is crucial when assessing the effects of catastrophic events (such as heatwaves or widespread flooding) on food security and on the sustainability of societal infras ...

Springer Heidelberg2013

Experimental Quantification of the Variability of the Raindrop Size Distribution at Small Scales

Joël Jaffrain

Reliable quantitative precipitation estimation is crucial to better understand and eventually prevent water-related natural hazards (floods, landslides, avalanches, ...). Because rainfall is highly variable in time and space, precipitation monitoring and f ...

EPFL2012

Improved interpolation of meteorological forcings and hydrologic implications for a Swiss alpine region

Andrea Rinaldo, Alexis Berne, Cara Christine Tobin, Marc Parlange, Ludovico Nicotina

This paper presents a comparative study on the mapping of temperature and precipitation fields in complex Alpine terrain. Its relevance hinges on the major impact that inadequate interpolations of meteorological forcings bear on the accuracy of hydrologic ...

2011

Near-field adaptive beamforming and source localization in the spacetime frequency domain

Martin Vetterli, Francisco Pereira Correia Pinto

We revisit the topics of near-field adaptive beamforming and source localization following an alternative approach based on a spatio- temporal spectral representation of the acoustic wave field. With the proposed method, the wave field is expressed as a se ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Geostatistical simulation of 2D fields of raindrop size distributions at the meso-gamma scale

Alexis Berne, Marc Schleiss

The large variability of the drop size distribution (DSD) in space and time must be taken into account to improve remote sensing of precipitation. The ability to simulate a large number of 2D fields of DSD sharing the same statistical properties provides a ...

American Geophysical Union2009