Final synthesis of all spatial analysis content covered, per ESCI505 Spatial Analysis (Dr. Andy Bunn, WWU)

Midterm synthesis of spatial analysis content, per ESCI505 Spatial Analysis (Dr. Andy Bunn, WWU)

Spatial regression and regression kriging, per ESCI505 Spatial Analysis (Dr. Andy Bunn, WWU)

Basic kriging in spatial data, per ESCI505 Spatial Analysis (Dr. Andy Bunn, WWU)

Deterministic interpolation of spatial data, per ESCI505 Spatial Analysis (Dr. Andy Bunn, WWU)

Autocorrelation in spatial data, per ESCI505 Spatial Analysis (Dr. Andy Bunn, WWU)

Point pattern analysis, per ESCI505 Spatial Analysis (Dr. Andy Bunn, WWU)

Map of Mt Baker in Whatcom County, WA, per ESCI505 Spatial Analysis (Dr. Andy Bunn, WWU)

Midterm exam and content synthesis, per ESCI503 Multivariate Statistics

Final exam and content synthesis, per ESCI503 Multivariate Statistics (Dr. Rebecca Bunn, WWU)

Fitting variables with clusters and permanova, per ESCI503 Multivariate Statistics (Dr. Rebecca Bunn, WWU)

Principle coordinates analysis (PCoA), per ESCI503 Multivariate Statistics (Dr. Rebecca Bunn, WWU)

Clustering multivariate data, per ESCI503 Multivariate Statistics (Dr. Rebecca Bunn, WWU)

Principle components analysis, per ESCI503 Multivariate Statistics (Dr. Rebecca Bunn, WWU)

Box's M and MANOVA analysis, per ESCI503 Multivariate Statistics (Dr. Rebecca Bunn, WWU)

Graphing multivariate data, per ESCI503 Multivariate Statistics (Dr. Rebecca Bunn, WWU)

Tidying data, per ESCI502 Applied Statistics in Environmental Science (Dr. Kathryn Sobocinski, WWU)

Multiple regression, per ESCI502 Applied Statistics in Environmental Science (Dr. Kathryn Sobocinski, WWU)

Plotting multiple regressions, per ESCI502 Applied Statistics in Environmental Science (Dr Kathryn Sobocinski, WWU)

Linear Models, per ESCI502 Applied Statistics in Environmental Science (Dr. Kathryn Sobocinski, WWU)

Generalized Linear Models. per ESCI502 Applied Statistics for Environmental Applications (Dr Kathryn Sobocinski, WWU)

Applied statistics - ANOVA. per ESCI502 Applied Statistics for Environmental Applications (Dr Kathryn Sobocinski, WWU)

Final synthesis for ESCI502 Applied Statistics for Environmental Applications (Dr Kathryn Sobocinski, WWU)

Machine learning techniques - Model Learning. per ESCI599 Machine Learning seminar (Dr Andy Bunn and Chris Trinies)

Machine learning techniques - Neural Networks. per ESCI599 Machine Learning seminar (Dr Andy Bunn and Chris Trinies, WWU)

Machine learning techniques - Decision Trees. per ESCI599 Machine Learning seminar (Dr Andy Bunn and Chris Trinies, WWU)

Machine learning techniques - k Nearest Neighbors. per ESCI599 Machine Learning seminar (Dr Andy Bunn and Chris Trinies, WWU)

Machine learning techniques - Cross Validation. per ESCI599 Machine Learning seminar (Dr. Andy Bunn and Chris Trinies, WWU)

Machine learning techniques - Permutations. Per ESCI599 Machine Learning seminar (Dr. Andy Bunn and Chris Trinies, WWU)

Machine Learning techniques - bootstrapping. Per ESCI599 Machine Learning (Dr Andy Bunn and Chris Trinies, WWU)

This document shows various ways of highlighting uncertainty within a dataset, per ESCI599 Data Visualization Seminar (Dr. Andy Bunn, WWU)

This document highlights a visualization pipeline I created to produce maps of my thesis data - larval dispersal tracks for Olympia oysters. Note these maps use test data that has since been updated. Based on the assignment for ESCI599 Data Visualization Seminar (Dr. Andy Bunn, WWU)

Approaches for visualizing trends within a dataset, per ESCI599 Data Visualization Seminar (Dr. Andy Bunn, WWU)

Visualization techniques for time series data, per ESCI599 Data Visualization Seminar (Dr. Andy Bunn, WWU)

This document contains visualizations of the classic Palmer penguins dataset, focusing on ways to show different distributions. Based on an assignment from ESCI599 Data Visualization Seminar (Dr. Andy Bunn, WWU).

This document focuses on various ways to visualize amounts, per an assignment in ESCI599 Data Visualization Seminar (Dr. Andy Bunn, WWU).