Published May 2018
| Version v1
Journal article
Environmental mapping using Bayesian spatial modelling (INLA/SPDE): A reply to Huang et al. (2017)
Creators
- 1. Department of Mathematical Sciences, Norwegian University of Science and Technology, 7491 Trondheim (Norway)
- 2. Natural Resources Canada, Canadian Forest Service, Canadian Wood Fibre Centre, Québec, QC G1V 4C7 (Canada)
Description
no abstract available
Availability note (English)
Available from http://dx.doi.org/10.1016/j.scitotenv.2017.12.067Additional details
Identifiers
- DOI
- 10.1016/j.scitotenv.2017.12.067;
- PII
- S0048969717334861;
Publishing Information
- Journal Title
- Science of the Total Environment
- Journal Volume
- 624
- Journal Page Range
- p. 596-598
- ISSN
- 0048-9697
- CODEN
- STENDL
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53034546
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Resource subtype / Literary indicator
- No Abstract
- Descriptors DEI
- BAYESIAN STATISTICS; ENVIRONMENT; MAPPING; SIMULATION; SOILS
- Descriptors DEC
- MATHEMATICS; STATISTICS
Optional Information
- Copyright
- Copyright (c) 2017 Published by Elsevier B.V. All rights reserved.