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)
Advances in Interpolation Algorithms for Earth Science Applications
Data & AnalysisInterpolation is a technique used in Earth science to estimate the values of a variable at unsampled locations based on the values observed at sampled locations. The technique has numerous applications in various fields of Earth science, including geology, meteorology, hydrology, and oceanography. In this article, we will discuss the different algorithms used for interpolation