Publications

Below is a list of publications made possible with this project:

• Pohle et al. 2026. Reconstructing a 1980s DEM of the Greenland ice sheet for model initialization

• Langner et al. 2026. Investigating behavioral inertia in passively sensed smartphone parameters to differentiate affective episodes in patients with bipolar disorder

• Rines et al. 2026. Interpolation of large-scale airborne geophysical data with uncertainty quantification

• Caers et al. 2026. Stochastic Inversion of geophysical data by sequential Bayesian updating under a non-stationary Gaussian process prior

• Cornes et al. 2026. GloMarGridding: A Python Toolkit for Flexible Spatial Interpolation in Climate Applications

• Li et al. 2025. A multi-facies constrained geostatistical inversion for predicting fractured tight sandstone thin reservoirs: a case study in Western China

• Chen et al. 2025. A novel data-driven digital reconstruction method for polycrystalline microstructures

• Liu et al. 2025. Mass-Balance MRV for Carbon Dioxide Removal by Enhanced Rock Weathering

• Cserteg et al. 2025. BlankLocalizationCore.jl: implementing blank localizationin Julia

• Kim et al. 2024. Coal Thickness Through Compositional Kriging: An Approach Based on Geostatistics

• Doherty et al. 2024 A Method for Quantifying Uncertainty in Spatially Interpolated Meteorological Data with Application to Daily Maximum Air Temperature

• Ko et al. 2024. Scaling Hawkes processes to one million COVID-19 cases

• Hoffimann, J. 2023. Geospatial Data Science with Julia

• Gruchalla et al. 2023. Reevaluating Contour Visualizations for Power Systems Data

• Karsanina, M. & Gerke, K. 2022. Stochastic (re)constructions of non-stationary material structures: Using ensemble averaged correlation functions and non-uniform phase distributions

• Sepúlveda et al. 2022. Evaluation of multivariate Gaussian transforms for geostatistical applications

• Hoffimann et al. 2022. Modeling Geospatial Uncertainty of Geometallurgical Variables with Bayesian Models and Hilbert-Kriging

• Hoffimann et al. 2021. Geostatistical Learning: Challenges and Opportunities

• Asner et al. 2021. Abiotic and Human Drivers of Reef Habitat Complexity Throughout the Main Hawaiian Islands

• Asner et al. 2020. Large-scale mapping of live corals to guide reef conservation

• Hoffimann, J. & Zadrozny, B. 2019. Efficient Variography with Partition Variograms

• Hoffimann et al. 2019. Morphodynamic Analysis and Statistical Synthesis of Geomorphic Data: Application to a Flume Experiment

• Barfod et al. 2017. Hydrostratigraphic Modeling using Multiple-point Statistics and Airborne Transient Electromagnetic Methods

• Hoffimann et al. 2017. Stochastic Simulation by Image Quilting of Process-based Geological Models