Conceptually correct and algorithmically efficient pruning and allocation procedures in statistical LUCC modelling - Archive ouverte HAL Access content directly
Master Thesis Year : 2019

Conceptually correct and algorithmically efficient pruning and allocation procedures in statistical LUCC modelling

Procédures d'allocation conceptuellement correctes et algorithmiquement efficientes pour les modèles LUCC

(1)
1
François-Rémi Mazy
  • Function : Author
  • PersonId : 1055203
Sustainability transition, environment, economy and local policy

Domains

Statistics [stat] Applications [stat.AP] Environmental Sciences Global Changes Environmental Sciences Environmental and Society
Fichier principal
Vignette du fichier
fmazy_internship_report.pdf (3.58 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

François-Rémi Mazy  : Connect in order to contact the contributor

https://hal.inria.fr/hal-02302133

Submitted on : Tuesday, October 1, 2019-10:30:09 AM

Last modification on : Friday, February 4, 2022-3:23:36 AM

Download

Dates and versions

hal-02302133 , version 1 (01-10-2019)

Identifiers

  • HAL Id : hal-02302133 , version 1

Cite

François-Rémi Mazy. Conceptually correct and algorithmically efficient pruning and allocation procedures in statistical LUCC modelling. Applications [stat.AP]. 2019. ⟨hal-02302133⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

UGA CNRS INRIA LJK LJK_MAD LJK_MAD_STEEP INRIA2
66 View
135 Download

Share

Gmail Facebook Twitter LinkedIn More