2009À2010. References were found by computer-assisted searching the Web of
Knowledge. Around twenty journals that regularly publish papers on environmental analysis …

The optimal design of air quality monitoring network draws significant attention due to the
severity associated with air pollution and constraints involved with the installation and …

This study contributes the Adaptive Strategies for Sampling in Space and Time (ASSIST)
framework for improving long‐term groundwater monitoring decisions across space and …

Air quality monitoring networks play a significant role in identifying the spatiotemporal
patterns of air pollution, and they need to be deployed efficiently, with a minimum number of …

The literature on the application of simulation-optimization approaches for management and
monitoring of coastal aquifers is reviewed. Both sharp-and dispersive-interface modeling …

Knowledge of the spatial distribution of heavy metals is indispensable for successful risk
analysis of contaminated sites. The common practice is to obtain soil samples for spatial …

The R function kofnGA conducts a genetic algorithm search for the best subset of k items
from a set of n alternatives, given an objective function that measures the quality of a subset …

A novel algorithm named the stepwise genetic algorithm (SGA) is proposed to optimize the
air quality monitoring network of mainland China under the framework of adaptive …

With an increasing number of PV systems of various scales, real-time irradiance monitoring
at every system location becomes costly. Therefore, using a suitable network of sensors has …

This paper develops spatial prediction of a functional variable at unsampled sites, using
functional covariates, that is, we present a functional cokriging method. We show that …