Data analytics, statistics, and more
This post performs exploratory data analysis using time-series plots to visually identify essential economic information contained in the U.S. Bureau of Labor Statistics Employment Situation Report for February 2022.
This is a brief tutorial on using R and the trendMK package for the statistical analysis of groundwater monitoring data. The trendMK package is designed to analyze censored data sets containing many sampling locations and monitoring constituents.
Perform geospatial optimization of a groundwater monitoring well network with the objective of minimizing the number of sample locations needed to represent the plume, subject to the constraint that the characteristics of the plume remain comparable.
Use Sequential Gaussian Simulation (SGSIM) conditioned on measured groundwater concentration data to obtain quantitative measures of the uncertainty regarding the extent and severity of contamination at a site.
Costs for groundwater monitoring represent a significant, persistent, and growing burden for environmental remediation projects. This post examines spatial optimization of a groundwater monitoring well network using a geostatistic approach to identify new well locations or redundant locations such that the operational value of the monitoring network is maximized.