Homepage Pascal Monestiez


Email : Pascal.Monestiez@inra.fr
Tél: +33 (0)

Research interests / Recent publications / PhD students / Teaching / Others


Methodological developments in Geostatistics :

          o Statistical data modelling for Citizen Sciences

          o Geostatistics for stream networks data and tree structures

          o Functional geostatistics, functional kriging and profile data modeling in environment

          o Count data geostatistics and spatial hierarchical models

          o Spatial modelling at multiples scales in ecology and soil science

Geostatistics for count data and spatial distributions of wild species :

Spatial hierarchical Models Count data especially when they contain a large proportion of zeros, are always a methodological problem for geostatistics as well as for any other spatial data modelling.
We propose a geostatistical approach that models the Poisson distributional nature of the counting process and significantly improves experimental variogram estimation, local mean prediction and error of prediction compared to classical ordinary kriging. This “Poisson kriging” is applied to fin whale count data recorded for 1993 to 2001 in the Northwestern Mediterranean Sea. Our approach is compared to Bayesian approaches introduced by Diggle et al. and developed by O. Christiensen, C Wilkle and others.

Monestiez, P., Dubroca, L., Bonnin, E., Durbec, J-P., Guinet, C., 2006. Geostatistical modelling of spatial distribution of Balaenoptera physalus in the Northwestern Mediterranean Sea from sparse count data and heterogeneous observation efforts. Ecological Modelling 193:615-628.

Geostatistics on stream networks and tree structures :

Classical geostatistical modelling can be extended to spatial supports as directed trees and applied to variables spatially structured along a river network. The topological properties of the tree structure imply specific model assumptions, proper variogram estimates and ad-hoc drift models. Once the covariance structure specified on the tree, kriging can be generalized for prediction. We also proposed a model-based simulation procedure to generate random functions on directed trees. Two case studies, fluvisol delineation for the Hérault river (South of France) and network properties of rural catchments, were explored. Clear spatial structures were exhibited and modelled using variogram based on upstream-downstream distance for both hydrographic networks. A drift was also modelled in both cases. This approach is presently extended to risk modelling of a disease whose pathogen is spread by water flow along a river network.

Garreta V., Monestiez P. and Ver Hoef J.M., 2009. Spatial modelling and prediction on river networks: up model, down model or hybrid ? Environmetrics  21: 439-456
Monestiez, P., Bailly J-S., Lagacherie P., Voltz M., 2005. Geostatistical modelling of spatial processes on directed trees : Application to fluvisol extent. Geoderma 128:179-191.
Bailly, J-S., Monestiez, P., Lagacherie, P., 2006. Modelling spatial processes on directed trees with geostatistics : Application to artificial network properties on rural catchment areas. Mathematical Geology 38: 515-539..

  • RECENT PUBLICATIONS (2010-2014):

Nusinovici S., Monestiez P., Seegers H., Beaudeau F., Fourichon Ch.(2014) Using Animal Performance Data to Evidence the Under-Reporting of Case Herds during an Epizootic: Application to an Outbreak of Bluetongue in Cattle Plos One doi: 10.1371/journal.pone.0100137

Le Rest K., Pinaud D., Monestiez P., Chadœuf J., Bretagnolle V. (2014) Spatial Leave-one-out cross validation for variable selection in the presence of spatial autocorrelation. Global Ecology and Biogeography (on line - early view)

Bayle S., Monestiez P., Nerini D. (2014) Modèle linéaire de prédiction fonctionnelle sur données environnementales : choix de modélisation. Journal de la Société Française de Statistique 155:121-137

Isaak, D. J., Peterson, E. E., Ver Hoef, J. M., Wenger, S. J., Falke, J. A., Torgersen, C. E., Sowder, C., Steel, E. A., Fortin, M.-J., Jordan, C. E., Ruesch, A. S., Som, N. and Monestiez, P. (2014) Applications of spatial statistical network models to stream data. WIREs Water. doi: 10.1002/wat2.1023 (on line)

Mannocci L., Laran S., Monestiez P., Dorémus G., Van Canneyt O., Watremez P. and Ridoux V. (2014) Predicting top predator habitats in the South West Indian Ocean: response to heterogeneity in average versus instantaneous habitat quality. Ecography 37:261–278.

Mannocci L., Catalogna M., Dorémus G., Laran S., Lehodey P., Massart W., Monestiez P., Van Canneyt O.,Watremez P., Ridoux V. (2014) Predicting cetacean and seabird habitats across a productivity gradient in the South Pacific gyre, Progress in Oceanography 120:383-398

Viviant M., Monestiez P., Guinet C. (2014) Can We Predict Foraging Success in a Marine Predator from Dive Patterns Only? Validation with Prey Capture Attempt Data. PlosOne, doi: 10.1371/journal.pone.0088503

Bellier E., Monestiez P., Certain G., Chadœuf J., Bretagnolle V., 2013 - Reducing the uncertainty of wildlife population abundance: model-based versus design-based estimates. Environmetrics 24:476-488

Bellier E., Neubauer P., Monestiez P., Letourneur Y., Bonhomme P., Ledireach L. and Bacher F., 2013 - Marine reserve spillover: Modelling from multiple data sources. Ecological Informatics 18:188-193

Peterson E. E., Ver Hoef J. M., Isaak D. J., Falke J. A., Fortin M-J., Jordan C.E., McNyset K., Monestiez P., Ruesch A. S., Sengupta A., Som N., Steel E. A., Theobald D. M., Torgersen C. E. and Wenger S. J., 2013 - Modelling dendritic ecological networks in space: an integrated network perspective.  Ecology Letters 16: 707-719.

Guinet C.,  Xing X., Walker E., Monestiez P., Marchand S., Picard B., Jaud T., Authier M., Cotté C., Dragon A.C., Diamond E., Antoine D., Lovell P., Blain S., D'Ortenzio F. and Claustre H., 2013 - Calibration procedures and first dataset of Southern Ocean chlorophyll a profiles collected by elephant seals equipped with a newly developed CTD-fluorescence tags. Earth Syst. Sci. Data 5, 15-29.

Barhen A., Chadœuf, J., Dessard H. and Monestiez P. 2013 - Estimating second order characteristics of point processes with known independent noise. Stat. Comput. 23: 297-309. 

Mannocci L., Monestiez P. , Bolaños-Jiménez J., Dorémus G., Jeremie S., Laran S., Rinaldi R., Van Canneyt O. and Ridoux V., 2013 - Megavertebrate communities from two contrasting ecosystems in the western tropical Atlantic, Journal of Marine Systems  111-112:208-222.

Bellier E., Monestiez P., Certain G., Chadœuf J. and Bretagnolle V., 2012 – Decomposing the heterogeneity of species distributions into multiple scales: a hierarchical framework for large-scale count surveys. Ecography 35: 839-854.

Bourgeois, A., Gaba, S., Munier-Jolain, N., Monestiez, P. and  Soubeyrand, S., 2012 - Inferring weed spatial distribution from multi-type data. Ecological Modelling 226: 92-98.

Dragon A-C., Bar-Hen A., Monestiez P. and Guinet C., 2012 - Comparative analysis of methods for inferring successful foraging areas from argos and GPS tracking data. Marine Ecology Progress Series 452: 253-267.

Dragon, A.C., Bar-Hen, A., Monestiez, P. and  Guinet, C. 2012 - Horizontal area-restricted-search and vertical diving movements to predict foraging success in a marine top-predator. Marine Ecology Progress Series 447: 243-257

Lagacherie P., Bailly J-S., Monestiez P. and  Gomez C., 2012 - Using scattered soil sensing field surveys to map soil properties over a region.  An example with airborne hyperspectral imagery. European Journal of Soil Science. 63: 110-119.

Chadœuf, J., Certain, G., Bellier, E., Bar Hen, A, Couteron, P., Monestiez, P. and Bretagnolle, V. 2011 - Estimating inter-group interaction radius for point processes with nested spatial structures. Computational Statistics and Data analysis. 55: 627-640.

Leriche, A., Boudouresque, C.F., Monestiez, P. and Pasqualini, V. 2011 - An improved method to monitor the health of seagrass meadows based on kriging. Aquatic Botany  95: 51-54. 

Bellier, E. Certain, G. Planque, B., Monestiez, P, and Bretagnolle,V. 2010 – Modelling the habitat selection at multiple scales with multivariate geostatistics : an application to seabirds in open sea. Oikos 119: 988-999.

Bellier E. and  Monestiez, P. 2010 - A spatial covariance model with a single wave effect  and a finite range. Statistics and Probability Letters  80:1343-1347.

Dragon, A.C., Monestiez, P., Bar-Hen, A. and Guinet, C. 2010 - Linking foraging behavior to physical oceanographic structures: Southern elephant seals and mesoscale eddies east of Kerguelen Islands.  Progress in Oceanography87: 61-71.

Garreta V., Monestiez P. and Ver Hoef J. 2010 - Spatial modelling and prediction on river networks: up model, down model or hybrid ? Environmetrics 21: 439-456.

Nerini, D., Monestiez, P. and  Manté, C.  2010. Cokriging for spatial functional data.  Journal  of  Multivariate Analysis  101:409-418.

For references above, the pdf files cannot be available on Web and downloaded due to copyright policy, but they can be sent directly by the author. Ask for them at pascal.monestiez@inra.fr


          o Séverine Bayle, PhD student 2010 - 2014 (with David Nerini, MIO, Univ Aix Marseille)

          o Morgane Viviant, PhD student 2008 - 2011 (with Christophe Guinet, CEBC)

          o Nicolas DESASSIS, PhD student 2003 - 2007 (with Jean-Noël Bacro, Univ Montpellier)
          o Edwige BELLIER, PhD student 2004 - 2007


  • ANR projects :

          o MyctO-3D MAP Projet ANR Blanc 2012-2015 : Myctophid assessment in relation to Oceanographic conditions: a three Dimension Density Distribution approach combining Modelling-, Acoustic- and Predators’ data
          o IPSOS SEAL  (ANR VMC) 2008 -2012 : Investigation of the vulnerability of the biological Productivity of the Southern Ocean Subsystems to climate change: the Southern Elephant seal Assessment from mid to high Latitudes. Christophe Guinet, CEBC, CNRS
          o DIGISOL HYMED  Projet ANR Blanc 2009-2013 : Cartographie Numérique des Sols par imagerie hyperspectrale pour la modélisation environnementale en région méditerranéenne ( http://www.umr-lisah.fr/digisolhymed/ ) Philippe Lagacherie, LISAH, INRA


          o Master II d’Océanographie , OSU - MIO, Université Aix-Marseille, Spécialité : Biologie et écologie marine. UE BEM 355 - SPAT statistiques spatiales pour l'écologie (2004 - 2012)  (30h - 3 credits)


          o Reflexives ® : past core team member.

The Réflexives ® were an innovative methodological approach to develop cooperation for building research questions in real work situations. The Réflexives ® seminars were spaces of dialogue, of reflective practice and openness which were created for and by INRA researchers; they have been organized for more than ten years within research departments and between departments to lay the foundations of a scientific and human cooperation among researchers, and between supervisors and PhD students. They were key events in the process when a PhD student must take ownership of its research subject and turn it into a research project, and developped into a researcher “by profession” ; they were also key in the training of supervisors who most of the time learn their trade from their peers.  Reflexives seminars were stopped by INRA in 2010.

          o Scuba Diving Instructor

Instructeur National #117 (Course Director) from the FFESSM (Fédération Française d'Etudes et de Sports Sous-Marins - French Underwater Federation).