Preprints
Filtering by Subject: Applied Statistics
Soil-informed multivariate decision support to assess urban ecosystem service potential
Published: 2026-04-17
Subjects: Agriculture, Applied Mathematics, Applied Statistics, Biodiversity, Dynamical Systems, Multivariate Analysis, Natural Resources and Conservation, Remote Sensing, Soil Science, Spatial Science, Sustainability, Theory and Algorithms
Metropolitan expansion across Africa requires robust soil information to support ecosystem services and urban resilience. However, digital soil mapping often prioritises predictive accuracy over identifying where information is reliable for decision making. This study evaluated numerical and South African Soil Taxonomy within a decision framework to assess where ecosystem service inferences can [...]
Fractal Tomography and the Fisher Information Barrier of Seismicity: Addressing the Origin of Dual Paradoxes via Precision-Calibrated Bayesian Inference
Published: 2026-04-11
Subjects: Applied Statistics, Earth Sciences, Geophysics and Seismology, Non-linear Dynamics, Other Statistics and Probability, Physical Sciences and Mathematics, Statistical Methodology, Statistics and Probability, Tectonics and Structure
The spatial organization of seismicity presents dual multi-decade paradoxes: (1) earthquake catalogs exhibit quasi-planar correlation dimensions (D2 ≈ 2.0–2.6) despite volumetric lithospheric deformation (geometric projection paradox), and (2) Bayesian inference systematically yields D3 ≈ 3.0 contradicting structural geology (Bayesian saturation paradox). We address both through the Fractal [...]
Multi-Sensor Monitoring of Wetland Inundation Using a Machine Learning and Data Fusion Framework
Published: 2026-04-04
Subjects: Applied Statistics, Earth Sciences, Environmental Monitoring, Environmental Sciences, Hydrology, Physical Sciences and Mathematics, Statistics and Probability
Continuous, high-resolution inundation data are needed to understand how small-scale, short-term wetland flooding influences global methane emissions and carbon cycling. Small (less than 1,000 m²), variably inundated wetlands are significant methane sources, yet coarse satellite products often miss their dynamics. Integrating optical and radar imagery with resolutions less than 30 m offers a [...]
Injecting vegetation-based spatialization in the hydrogeological framework for erosion modelling
Published: 2026-03-31
Subjects: Applied Statistics, Biodiversity, Computer Sciences, Earth Sciences, Geomorphology, Numerical Analysis and Scientific Computing
Erosion processes and landslide are widespread across Italy and frequently cause significant damage to people, infrastructure, and ecosystems. These processes are primarily triggered by rainfall events, whose impact depends on multiple interacting factors, including geomorphology, soil properties, land use, and vegetation. Among these, vegetation plays an essential role in regulating hillslope [...]
MonteCarlo Biphasic Estimation of Fire Properties (McBEF): Part II, Night-time VIIRS Implementation
Published: 2026-03-29
Subjects: Applied Statistics, Earth Sciences, Physical Sciences and Mathematics, Statistics and Probability
This study presents the application and global evaluation of the Monte Carlo Biphasic Estimation of Fire Properties (McBEF) algorithm using nighttime observations from the Visible Infrared Imaging Radiometer Suite (VIIRS). McBEF extends traditional fire retrieval techniques by partitioning sub-pixel combustion into flaming and smoldering phases, enabling the estimation of phase-specific [...]
MonteCarlo Biphasic Estimation of Fire Properties (McBEF): Part I, Algorithm formulation
Published: 2026-03-29
Subjects: Applied Statistics, Earth Sciences, Physical Sciences and Mathematics, Statistics and Probability
Sub-pixel fire characterization is essential for quantifying wildfire energetics, combustion phase dynamics, and their atmospheric impacts from satellite observations. This study presents a series of Observing System Simulation Experiments (OSSEs) to systematically evaluate the influence of temperature phase complexity, channel selection, and intra-phase temperature heterogeneity on the [...]
Assessing and Correcting Bias in Gridded Reference Evapotranspiration over Agricultural Lands Across the Contiguous United States
Published: 2026-02-19
Subjects: Applied Statistics, Climate, Environmental Monitoring, Geographic Information Sciences, Hydrology, Multivariate Analysis, Remote Sensing, Spatial Science, Water Resource Management
Gridded reference evapotranspiration (ETo) data are widely used for agricultural water management and remote sensing ET (RSET) models, but biases can arise in agricultural regions where coarse-resolution meteorological inputs fail to capture local microclimates. We investigated biases in the gridMET ETo product across irrigated agricultural areas of the contiguous United States (CONUS) by [...]
Smoothing Earth’s surface: the complexity of soil texture class transitions
Published: 2026-01-27
Subjects: Applied Statistics, Dynamical Systems, Dynamic Systems, Environmental Sciences, Non-linear Dynamics, Numerical Analysis and Computation, Numerical Analysis and Scientific Computing, Ordinary Differential Equations and Applied Dynamics, Soil Science, Statistical Models, Statistical, Nonlinear, and Soft Matter Physics
Soil depth functions are essential for analysing, modeling, understanding and visualising soil profiles. While robust methods existed for continuous properties, soil texture is typically reported as discrete classes, and no established approach exists to interpolate soil categorical information with depth. Here, we introduced phySplines, a physics-informed, analytically solvable spline for [...]
Two Wind Farms, Two Islands: Physics Informed Causal Wind Analysis in New Zealand
Published: 2026-01-06
Subjects: Applied Statistics, Atmospheric Sciences, Climate, Oceanography and Atmospheric Sciences and Meteorology, Power and Energy
Wind power forecasting models often rely on correlation-based methods, which can misinterpret the relationship between meteorological variables and power generation. A key example is air density: while physics suggests denser air should increase available wind power, observational data can show a negative correlation because high-pressure regimes (high density) often coincide with lower wind [...]
Infiltration drives a Heavy–Tailed Distribution of Combined Sewer Overflow Spill Durations
Published: 2025-12-10
Subjects: Applied Statistics, Environmental Sciences, Hydraulic Engineering
Combined sewer overflows (CSOs) discharge untreated wastewater into natural water bodies during periods of excess sewer flow, posing environmental risks. Using ~ 4 million CSO spill events recorded by Event Duration Monitors across England (2020–2024), we characterize the statistical distribution of spill durations. We find that while spills exceeding four hours represent only 6.4 % of events, [...]
Multi-Planar Hierarchy in Pan-American Seismic Fractality: A Bayesian Resolution to the Projection Paradox
Published: 2025-12-10
Subjects: Applied Statistics, Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics, Statistics and Probability
Earthquake catalogs worldwide exhibit an enduring paradox: seismicity appears confined to planar faults (correlation dimension D2≈ 2.0), yet operates within volumetric lithospheric deformation. We resolve this paradox through Bayesian fractal analysis of 50,010 earthquakes across seven Pan-American tectonic regimes (2010–2025), revealing that apparent planarity reflects instrumental projection [...]
Sequential Efficacy of Information for Optimized Geophysical and Drilling Strategies in Mineral Exploration
Published: 2025-12-05
Subjects: Applied Statistics, Geophysics and Seismology, Mining Engineering
The global energy transition has created an urgent need for expanded critical mineral supply. Projected production from existing deposits and current discovery rates remains insufficient to meet this demand. More efficient exploration strategies are therefore required, particularly in optimizing costly and low-success data acquisition campaigns. To address this challenge, we introduce the concept [...]
A generalized additive mixed-effect modeling approach for characterizing Sentinel-2 surface reflectances of visible light from Torch Lake in Antrim County, Michigan, 2019-2025
Published: 2025-11-18
Subjects: Applied Statistics, Earth Sciences, Environmental Monitoring, Hydrology, Longitudinal Data Analysis and Time Series, Statistical Methodology, Statistics and Probability
A generalized additive model (GAM) and three generalized additive mixed-effect models (GAMMs) were developed and compared to describe variations of surface reflectances of visible light from Torch Lake in the blue, green, and red bands from Sentinel 2 satellite imagery. All models included fixed effects associated with water-depth intervals, satellite orbits, trend, and smooth effects associated [...]
FEMA Phase-Out? Catastrophic Extremes Limit Decentralization of U.S. Flood Insurance
Published: 2025-11-13
Subjects: Applied Statistics, Climate, Hydrology, Meteorology, Natural Resources Management and Policy, Risk Analysis, Sustainability, Systems Engineering
The U.S. National Flood Insurance Program (NFIP) faces growing solvency and affordability pressures amid proposals to decentralize FEMA and shift disaster management to states. Many catastrophic floods span state boundaries, exposing multiple decentralized insurance pools simultaneously. Using a path-independent simulation framework that integrates risk-based premiums, [...]
Quantification Error Model for Aerial LiDAR Methane Emission Rate Estimates
Published: 2025-11-11
Subjects: Applied Statistics, Environmental Monitoring, Oil, Gas, and Energy, Statistical Models
Accurate characterization of methane emission rate quantification error (QE) is essential for building measurement-based emissions inventories that benchmark emissions, guide mitigation, and satisfy reporting frameworks such as OGMP 2.0. Previous studies have summarized QE using distributions of errors from controlled release experiments, but with limited consideration of environmental conditions [...]