####Understanding current problems in ecosystem science ####requires interdiscplinary knowledge of social, ####ecological, and legal systems that structure our world. ####In my teaching, I think data wrangling, analysis, ####and visualization are central to developing a ####practical understanding of how these systems ####create land-use change, alter water quality, and ####reshape landscapes. As such, data is core to my teaching ####practice and some introductory information is available here:

###General data background

####-General introduction to a set of skills useful to start programming

####-The tidyverse, a powerful unified way to think about data

####-Making data visualizations using ShinyR, anything by Zev Ross is good

###My teaching resources,(Best used with my github account)

####-Quick intro to R and Geospatial R

####-Making interactive maps in R

####-Time series data wrangling

####-Time Series Merging

####-Useful R Package introduction

####-Teaching Module on Water Quality