Results 121 to 130 of about 12,097 (212)

Assessment of the Risk of Groundwater Salinisation Using Multivariate Geostatistics.

, 2008
The risk assessment at regional scale requires modelling spatial variability of environmental variables. Traditional approach, based on estimating point environmental indicators, cannot be considered satisfactory for this purpose, because it does not ...
Castrignanò Annamaria, Giasi Concetta, Buttafuoco Gabriele   +2 more
core  

Validation of Management Zones, Variability, and Spatial Distribution of the Physiological Quality of Soybean Seeds. [PDF]

Plants (Basel)
de Oliveira Filho MA, Santos ALC, Domingues RF, Melazzo GM, Pontes BS, da Silva RJ, Hurtado SMC, Catão HCRM.   +7 more
europepmc   +1 more source

Closing Editorial: Mercury Cycling and Health Effects. [PDF]

Toxics
Bernardi JVE, Bastos WR, de Souza JR, Sousa Passos CJ.   +3 more
europepmc   +1 more source

Geostatistics: modeling spatial uncertainty

This book explains both the theory and applications of geostatistics through a unified treatment that emphasizes methodology. Key topics that are the foundation of geostatistics are explored in-depth, including stationary and nonstationary models; linear
Chiles, Jean-paul
core  

Hybrid geostatistical and deep learning framework for geochemical characterization in historical mine tailings. [PDF]

Sci Rep
Anvari K, Benndorf J, Gerber G, Alisch U.   +3 more
europepmc   +1 more source

Response to "Rethinking Machine-Learning Metrics in Schistosomiasis Control: Toward Predictive Equity, Field Readiness, and Biological Foresight". [PDF]

Am J Trop Med Hyg
Chen X, Le J, Hu Y.
europepmc   +1 more source

Bayesian modelling of spatio-temporal dynamics for early-warning and control of severe malaria in Cameroon. [PDF]

Parasite Epidemiol Control
Nji AM, Adegoke TM, Silal SP, Innocent A, Madeleine PF, Sylvanie MT, Tah CF, Wondeu ALD, Antinio-Nkondjio C, Bigoga JD, Leke RFG, Stresman G, Cui L, Mbacham WF.   +13 more
europepmc   +1 more source

Hybrid Deep Learning-Geostatistical Mapping of Forest Aboveground Biomass in Lishui, China. [PDF]

Plants (Basel)
Qian R, Zhang Q, Gong Y, Wang J, Cui X, Yin X, Li M.   +6 more
europepmc   +1 more source

Geostatistical Analysis of Seabed Sediment Type: A Compositional Approach with Non-Euclidean Distance Metrics. [PDF]

Math Geosci
Goovaerts P.
europepmc   +1 more source

Geostatistical and multi-criteria decision-making models to subsidize a quantitative monitoring network of aquifers intensively used for irrigated agriculture: the case of Urucuia Aquifer System, Brazil. [PDF]

Environ Monit Assess
Leão BRC, da Silva Junior GC, Marques EAG.   +2 more
europepmc   +1 more source