HAL (France)
open access
Modeling of spatial extremes in environmental data science: time to move away from max-stable processes
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Geostatistics of Extremes : A Composite Likelihood Approach#1100337
- Environmental Extremes: Building a New Research Partnership between the University of Nevada Reno and the Pacific Northwest National Laboratory (Final Report)#495617
- Climate Extremes and Risks: Links Between Climate Science and Decision-Making#499212
- Short-term forecasting of wildfire spread: A network epidemiology approach#1084855
- A Flexible Modeling of Extremes in the Presence of Inliers#625499
Record · ID 153667
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive