D. Allard

发表

Influence of landscape spatial heterogeneity on the non-linear estimation of leaf area index from moderate spatial resolution remote sensing data

F. Baret, S. Garrigues, M. Weiss, 2006 .

Truncated skew-normal distributions: moments, estimation by weighted moments and application to climatic data

D. Allard, C. Flecher, P. Naveau, 2010 .

Nonparametric Maximum Likelihood Estimation of Features in Spatial Point Processes Using Voronoï Tessellation

C. Fraley, D. Allard, 1997 .

A Flexible Class of Non-separable Cross-Covariance Functions for Multivariate Space-Time Data

D. Allard, Marc Bourotte, E. Porcu, 2015, 1510.07840.

Modeling temporal changes in surface spatial heterogeneity over an agricultural site

Frédéric Baret, Denis Allard, Sébastien Garrigues, 2008 .

Multivariate quantification of landscape spatial heterogeneity using variogram models

Frédéric Baret, Jeffrey T. Morisette, Denis Allard, 2008 .

Quantifying spatial heterogeneity at the landscape scale using variogram models

F. Baret, S. Garrigues, M. Weiss, 2006 .

Probability Aggregation Methods in Geoscience

P. Renard, D. Allard, A. Comunian, 2012, Mathematical Geosciences.

Simulating a Geological Lithofacies with Respect to Connectivity Information Using the Truncated Gaussian Model

D. Allard, 1994 .

INFLUENCE OF SPATIAL HETEROGENEITY AND SCALING ON LEAF AREA INDEX ESTIMATES FROM REMOTE SENSING DATA

D. Allard, S. Garrigues, M. Weiss, 2002 .

Geostatistical Classification and Class Kriging

D. Allard, 1998 .

Skew-normality for climatic data and dispersal models for plant epidemiology: When application fields drive spatial statistics

D. Allard, S. Soubeyrand, 2012 .

VALERI: a network of sites and a methodology for the validation of medium spatial resolution land satellite products

J. Privette, F. Veroustraete, B. Duchemin, 2003 .

Testing Local Independence between Two Point Processes

A. Brix, D. Allard, J. Chadoeuf, 2001, Biometrics.

Stochastic weather generators: an overview of weather type models

Pierre Ailliot, Philippe Naveau, Denis Allard, 2015 .

Conditional Simulation of Multi-Type Non Stationary Markov Object Models Respecting Specified Proportions

Denis Allard, Pierre Biver, D. Allard, 2006 .

Clustering geostatistical data

D. Allard, G. Guillot, D. ALLARD, 2000 .

Geostatistical Segmentation of Rainfall Data

P. Monestiez, D. Allard, D. Allard, 1999 .

Modeling and Simulating Depositional Sequences Using Latent Gaussian Random Fields

D. Allard, P. Fabbri, C. Gaetan, 2020, Mathematical Geosciences.

Disaggregating daily precipitations into hourly values with a transformed censored latent Gaussian process

Denis Allard, D. Allard, Marc Bourotte, 2015, Stochastic Environmental Research and Risk Assessment.

Modeling Spatial and Spatio-Temporal Non Gaussian Processes

D. Allard, 2012 .

Modeling Skewness in Spatial Data Analyis without Data Transformation

Philippe Naveau, Denis Allard, D. Allard, 2005 .

Spatial interpolation of air temperature using environmental context: Application to a crop model

Dominique Courault, Pascal Monestiez, Denis Allard, 2001, Environmental and Ecological Statistics.

Testing local dependence of spatial structures on images

A. Brix, D. Allard, J. Chadœuf, 2000, Journal of microscopy.

Simulating space-time random fields with nonseparable Gneiting-type covariance functions

X. Emery, D. Allard, C. Lacaux, 2019, Statistics and Computing.

Discussion of ”Spatial statistics: Marks, maps, and shapes”

D. Allard, 2016 .

DETECTING ZONES OF ABRUPT CHANGE: APPLICATION TO SOIL DATA

Jean-Noël Bacro, Denis Allard, Edith Gabriel, 2004 .

Modeling forest canopies with a hierarchical multi-ring Boolean model for estimating a leaf area index

F. Baret, R. López‐Lozano, D. Allard, 2013 .

Non-parametric diagrams for plurigaussian simulations of lithologies

D. Allard, R. Froidevaux, D. D’Or, 2012 .

USING SPATIAL ESTIMATES IN THE CART ALGORITHM : APPLICATION TO ECOLOGICAL DATA

D. Allard, R. Cheddadi, A. Bar-Hen, 2005 .

Estimators and confidence intervals for plant area density at voxel scale with T-LiDAR

J. Dupuy, D. Allard, Maxime Soma, 2018, Remote Sensing of Environment.

Geostatistics on Unstructured Grids, Theoretical Background, and Applications

Hans Wackernagel, Denis Allard, Pierre Biver, 2017 .

Change-of-Support Models on Irregular Grids for Geostatistical Simulation

Hans Wackernagel, Denis Allard, Pierre Biver, 2016, Mathematical Geosciences.

A.E. Gelfand, P.J. Diggle, M. Fuentes, P. Guttorp (eds.): Handbook of spatial statistics

Denis Allard, D. Allard, 2011, Stat. Comput..

Poisson Voronoï tiling for finding clusters in spatial point patterns

Michael A. Wulder, Steen Magnussen, Denis Allard, 2006 .

On Soil Carbon Monitoring Networks

Dominique Arrouays, Manuel P. Martin, R. M. Lark, 2014 .

COVID-19 mortality dynamics: The future modelled as a (mixture of) past(s)

D. Allard, S. Soubeyrand, L. Roques, 2020, PloS one.

The current COVID-19 wave will likely be mitigated in the second-line European countries

D. Allard, S. Soubeyrand, L. Roques, 2020, medRxiv.

Coupled effects of wind‐storms and drought on tree mortality across 115 forest stands from the Western Alps and the Jura mountains

K. Csilléry, D. Allard, B. Gardiner, 2017, Global change biology.

A stochastic daily weather generator for skewed data

D. Allard, N. Brisson, C. Flecher, 2010 .

Fully nonseparable Gneiting covariance functions for multivariate space–time data

X. Emery, D. Allard, Lucia Clarotto, 2022, Spatial Statistics.

Geostatistics for large datasets on Riemannian manifolds: a matrix-free approach

D. Allard, M. Pereira, N. Desassis, 2022, 2208.12501.

The SPDE approach for spatio-temporal datasets with advection and diffusion

D. Allard, N. Desassis, T. Romary, 2022, 2208.14015.

Simulating space-time random fields with nonseparable Gneiting-type covariance functions

X. Emery, D. Allard, C. Lantuéjoul, 2020, Statistics and Computing.

The SPDE approach for spatio-temporal datasets with advection and diffusion

D. Allard, N. Desassis, T. Romary, 2022, 2208.14015.

A New Spatial Skew-Normal Random Field Model

Philippe Naveau, Denis Allard, D. Allard, 2007 .

Connectivity metrics for subsurface flow and transport

Philippe Renard, Denis Allard, P. Renard, 2013 .

Linking physics and spatial statistics: A new family of Boltzmann-Gibbs random fields

Dionisios T. Hristopulos, Thomas Opitz, Denis Allard, 2021, Electronic Journal of Statistics.

Means and Covariance Functions for Geostatistical Compositional Data: an Axiomatic Approach

T. Marchant, D. Allard, 2015, Mathematical Geosciences.

The SPDE approach for spatio-temporal datasets with advection and diffusion

D. Allard, N. Desassis, T. Romary, 2022, 2208.14015.

Year-to-year crown condition poorly contributes to ring width variations of beech trees in French ICP level I network

N. Breda, D. Allard, L. Nageleisen, 2020 .

Modeling the spatial distribution of plants on the row for wheat crops: Consequences on the green fraction at the canopy level

Frédéric Baret, Bruno Andrieu, Denis Allard, 2017, Comput. Electron. Agric..

Multivariate bias corrections of climate simulations: which benefits for which losses?

Alex J. Cannon, D. Allard, M. Vrac, 2020, Earth System Dynamics.

Estimating the closed skew-normal distribution parameters using weighted moments

Philippe Naveau, Denis Allard, D. Allard, 2009 .

A method to estimate plant density and plant spacing heterogeneity: application to wheat crops

F. Baret, D. Allard, B. Andrieu, 2017, Plant Methods.

Recent Advances for Facies Modelling in Pluri-gaussian Formalism

D. Allard, P. Ruelland, P. Biver, 2015 .

Kriging with Categorical External Drift: Use of Thematic Maps in Spatial Prediction and Application to Local Climate Interpolation for Agriculture

D. Allard, P. Monestiez, D. Courault, 1999 .

Gibbs sampling on large lattice with GMRF

Denis Marcotte, Denis Allard, D. Allard, 2018, Comput. Geosci..

Geostatistics: Modeling Spatial Uncertainty

Denis Allard, J. Chilès, D. Allard, 1999 .

Semi-parametric resampling with extremes

G. Mariéthoz, D. Allard, T. Opitz, 2020, Spatial Statistics.

Geostatistics for Large Datasets on Riemannian Manifolds: A Matrix-Free Approach

D. Allard, M. Pereira, N. Desassis, 2022, Journal of Data Science.

A general framework for SPDE-based stationary random fields

Nicolas Desassis, Denis Allard, Ricardo Carrizo Vergara, 2018, Bernoulli.

Anisotropy Models for Spatial Data

Emilio Porcu, Denis Allard, Rachid Senoussi, 2016, Mathematical Geosciences.

Site selection and system sizing of desalination plants powered with renewable energy sources based on a web-GIS platform

D. Allard, V. Monbet, P. Ailliot, 2021, International Journal of Energy Sector Management.

Spatial statistics and stochastic partial differential equations: A mechanistic viewpoint

Samuel Soubeyrand, Lionel Roques, Denis Allard, 2021, Spatial Statistics.

Half-tapering strategy for conditional simulation with large datasets

Denis Marcotte, Denis Allard, D. Allard, 2016, Stochastic Environmental Research and Risk Assessment.

Comments on ‘ An efficient maximum entropy approach for categorical variable prediction ’ by

D. Allard, D. Allard, R. Froidevaux, 2011 .

Analyzing spatio-temporal data with R: Everything you always wanted to know – but were afraid to ask

Laure Malherbe, Davide Martinetti, Ghislain Geniaux, 2017 .

Mapping leaf area index measurements at different scales for the validation of large swath satellite sensors: First results of the VALERI project

Frédéric Baret, Olivier Marloie, Louis Bonneau de Beaufort, 2001 .

Negative Pressure Events in Water Distribution Systems: Public Health Risk Assessment Based on Transient Analysis Outputs

D. Allard, M. Besner, M. Prévost, 2011 .

Direct Geostatistical Simulation on Unstructured Grids I: Recent Improvements for Additive Variables

P. Biver, S. Fuet, D. Allard, 2019, Petroleum Geostatistics 2019.

Using First- and Second-Order Variograms for Characterizing Landscape Spatial Structures From Remote Sensing Imagery

Frédéric Baret, Denis Allard, Sébastien Garrigues, 2007, IEEE Transactions on Geoscience and Remote Sensing.

WACSgen v 1 . 0 User guide and description of the model

D. Allard, 2016 .

Nonparametric Maximum Likelihood Estimation of Features in Spatial Point Processes Using Voronoï Tessellation

C. Fraley, D. Allard, T. Allard, 1997 .

Non Parametric Maximum Likelihood Estimation of Features in Spatial Point Processes using Vorono

C. Fraley, D. Allard, T. Allard, 1995 .

Mitigating occlusion effects in Leaf Area Density estimates from Terrestrial LiDAR through a specific kriging method

Richard A. Fournier, François Pimont, Maxime Soma, 2020 .