Student projects based on statistical analyses
Our research relies on a variety of tools and approaches. Graduate and undergraduate students usually apply one of these tools or approaches in their project. Curious about our work? Get in touch and you will hear more about it!
海洋沈積物竟「異」有所「指」——探討古氣候代用指標 之空間變異性
Data compilation; Climatology; Reanalysis product; Statistical analysis; Python
• Analyzing the spatial variability of global paleotemperature estimates via comparison with climatology and ocean reanalysis product.
• Entry for Taiwan Earth System Science competition 全國地球系統科學專題研究大賽.
Mg/Ca and stable oxygen isotopes of individual foraminiferal shells in South China Sea sediments
Statistical analysis; R
• Simulating the uncertainty associated with typically used approach in measuring foraminiferal d18O and Mg/Ca.
• Assorted projects.
• Poster presentation at Taiwan Geoscience Assembly 2022.
Comparing GDGT-based paleotemperature estimates based on ordinary least square, Bayesian and machine learning approaches
Statistical analysis; MATLAB
• Comparing GDGT-derived paleotemperature estimates using calibrations based on different statistical approaches.
• Side project of a MSc student.
• Oral presentation at Taiwan Geoscience Assembly 2022.
Age-Heterogeneity in Marine Sediments Revealed by Three-Dimensional High-Resolution Radiocarbon Measurements
Statistical analysis; R
• Quantifying 3D variability of foraminifera radiocarbon in marine sediments and generating realistic error estimate for age model considering the spatial representativeness of single sediment core.
• External PhD project (2019-2022)
• Published in Frontiers in Earth Science in 2022.
Spatial-temporal patterns of proxy discrepancy in glacial cooling reconstruction
Data compilation; Statistical analysis; R
• Compiling multi-proxy data from the low-to-mid latitudes Western Pacific and analyzing the spatial pattern of proxy discrepancy.
• Side project of a MSc student.
• Poster presentation at Ocean Science Meeting 2021.