bobheadxi/eosc410

🌄 Annotated course materials for EOSC 410: Geoscientific Data Analysis and Empirical Modeling (Jan - Apr 2020)

🌄 EOSC 410 (Jan - Apr 2020)

Geoscientific Data Analysis and Empirical Modeling

The source repository for the class materials annotated here can be found in andersonsam/eosc_410.

• Canvas
• Online Lectures
• Course Materials

Course Materials

Multiple Linear Regression (MLR)

• Tutorial 2: Intro to MLR
• Lab 2: MLR on Glacial Data

Principal Component Analysis (PCA)

• Tutorial 3: Intro to PCA on Synthetic Data
• Lab 3: PCA on Faces Dataset
• Tutorial 4: PCA on SLP data
• Lab 4.1: PCA on Glacial Data
• Lab 4.2: PCA on Glacial Data

Rotated Principal Component Analysis (RPCA) and Canonical Correspondence Analysis (CCA)

• Tutorial 5: Rotated PCA (RPCA)
• Tutorial 5.1: CCA on Synthetic Data
• Tutorial 5.2: CCA on SST and SLP data
• Quiz 4 Solutions: Canonical Correspondence Analysis (CCA)
• Lab 5: PCA and CCA on SST data

Singular Spectrum Analysis (SSA)

• Tutorial 6: Intro to SSA
• Lab 6: Faces TODO(@bobheadxi)
• Tutorial 7.1: SSA TODO(@bobheadxi)
• Tutorial 7.2: FSA TODO(@bobheadxi)

Clustering and Classification

• Tutorial 8: kNN, k-Means, Hierarchical Clustering
• Lab 8: Clustering with Volcano Seismic Spectra TODO(@bobheadxi)

Self-Organizing Maps (SOM)

• Tutorial 9)
• Lab 9: Faces TODO(@bobheadxi)