Posted on June 2, 2023 (Updated on July 9, 2025)
Mapping Geopotential Height with Principal Component Analysis: A Statistical Approach to Geoscience
Data & AnalysisPrincipal Component Analysis (PCA) is a powerful statistical technique used to reduce the dimensionality of high-dimensional data. This technique is widely used in various fields, including geoscience, to analyze large data sets and extract valuable information. One of the applications of PCA in Earth science is the analysis of geopotential height data obtained from atmospheric
Posted on June 2, 2023 (Updated on July 9, 2025)
Comparing EOFs in T Mode and S Mode for Earth Science Statistics
Data & AnalysisEmpirical Orthogonal Functions (EOFs) are widely used in Earth science for the analysis of large data sets, such as ocean or atmospheric data. EOFs can be computed in two different modes: T mode and S mode. T-mode EOFs are based on the temporal covariance matrix of the data, while S-mode EOFs are based on the
Posted on June 2, 2023 (Updated on July 9, 2025)
Mastering Isotopic Interpolation: Best Practices for Effective Earth Science Data Visualization
Data & AnalysisIsotopes are atoms of the same element that have different numbers of neutrons, resulting in different atomic weights. Isotopic data can provide valuable information on a variety of Earth science topics, including climate change, geology, and environmental studies. However, isotopic data can be sparse, unevenly distributed, or have missing values, making it difficult to accurately
Posted on June 2, 2023 (Updated on July 9, 2025)
Interpolating Lake Boundaries: A Method for Identifying and Masking Lakes in Earth Science Data
Data & AnalysisInterpolation is a common technique used in Earth science to estimate unknown values of a particular variable based on known values at surrounding locations. It is particularly useful for creating continuous maps from sparse data sets. However, when it comes to variables such as water bodies, interpolation can be problematic. In this article, we discuss
Posted on June 2, 2023 (Updated on July 9, 2025)
Comparing Variogram Methods for Improved Ordinary Kriging Interpolation in Earth Science
Data & AnalysisInterpolation is a common technique used in geoscience to estimate values at unsampled locations based on a set of known sample points. A popular interpolation method is ordinary kriging, which uses a spatial model based on the spatial autocorrelation of the data to generate estimates. The accuracy of ordinary kriging depends heavily on the choice
Posted on June 2, 2023 (Updated on July 9, 2025)
Exploring the Significance of Oscillations in Variogram for Improved Interpolation: A Study in Earth Science
Data & AnalysisVariogram analysis is a popular tool used in geostatistics to map the spatial variability of a phenomenon. The variogram describes the degree of spatial autocorrelation of a variable as a function of the distance between sample points. It is a measure of the spatial dependence of the variable under study and is used in kriging,