We present a comparative study of soil CO2 flux (FCO2) measured by five groups (Groups 1-5) at the IAVCEI-CCVG Eighth Workshop on Volcanic Gases on Masaya volcano, Nicaragua. Groups 1-5 measured FCO2 using the accumulation chamber method at 5-m spacing within a 900 m grid during a morning (AM) period. These measurements were repeated by Groups 1-3 during an afternoon (PM) period. All measured F...

truncated gaussian simulation (tgs) is a well-known method to generate realizations of the ore domains located in a spatial sequence. in geostatistical framework geological domains are normally utilized for stationary assumption. the ability to measure the uncertainty in the exact locations of the boundaries among different geological units is a common challenge for practitioners. as a simple a...

Probabilistic damage evaluation and loss estimation of spatially distributed infrastructure systems (e.g. an electric power system or a building portfolio) under scenario tropical cyclone must consider the spatial correlation wind speeds to estimate their impact on built environment statistically. Previous studies have seldom considered this assessments civil infrastructure. In paper, stochasti...

[1] This study presents monthly CO2 fluxes from 1997 to 2001 at a 3.75 latitude 5 longitude resolution, inferred using a geostatistical inverse modeling approach. The approach focuses on quantifying the information content of measurements from the NOAA-ESRL cooperative air sampling network with regard to the global CO2 budget at different spatial and temporal scales. The geostatistical approach...

Genome-wide selection (GS) involves estimating breeding values using molecular markers spanning the entire genome. The success of GS approaches will depend crucially on the availability of efficient and easy-to-use computational tools. Therefore, approaches that can be implemented using mixed models hold particular promise and deserve detailed study. A particular class of mixed models suitable ...

Areal interpolation is the procedure of using known attribute values at a set of (source) areal units to predict unknown attribute values at another set of (target) units. Geostatistical areal interpolation employs spatial prediction algorithms, that is, variants of Kriging, which explicitly incorporate spatial autocorrelation and scale differences between source and target units in the interpo...

Abstract. Geostatistics as a subfield of statistics accounts for the spatial correlations encountered in many applications of, example, earth sciences. Valuable information can be extracted from these correlations, also helping to address often burden data scarcity. Despite value additional data, use geostatistics still falls short its potential. This problem is connected lack user-friendly sof...