Analysis of Variance (ANOVA) is the three-hundred pound gorilla in the room! Here we delve into what it means to evaluate the equality of mean values. We’ve already done this once, when we looked at the Student’s […]

Ah regression… No we are not going back in time or devolving in logic, we are actually going to breach the gap and jump feet first into linear modeling. In this section we will focus on developing the underlying […]

Here we get into the measures on how two or more pairs of variables change systematically with each other—correlation. There are many ways we measure correlation and in this exercise we will look at three, […]

For this topic, we will be focusing on two different ways to reorganize your data in a way that lends itself to easier interpretation—ordination and clustering. Both of these techniques ‘summarize’ complicated d […]

After 3 years of effort, we are now live on the ENVS data portal supporting student, faculty, and class data needs. You can find a link to it up in the Research bar or here.

Here we get into the measures of dispersion, the second property of our data that is leveraged to make statistical inferences. Fundamentally, the variance of our data is the quality of the data we are most […]

This course is a core requirement for all graduate-level programs in Environmental Studies.

Data Sets:

Rice Center data

The pier data (csv)
Cornus florida locales (shapefile)

Data from Baja […]

Some of the resources you have access to at VCU include LinkedIn and Lynda.com.  These have been merged together recently to
LinkedIn Profile
Get your Linked In profile updated.  There is a lot of latitude h […]

For univariate data, we really only have a few parameters we can test. In this section, we explore the notion of the Standard Normal Distribution (and other distributions in R), how we can visualize the extent to […]

This lecture focuses on the nature of statistical inferences. How do we know something? How can we assign a level of confidence in some process or some finding? What is the mean size of my study organism? What […]

Well, we’ve learned about as much as we can to date and it is time to look at an evaluation. For the first “Exam” you will be required to show your competence in the following skills:

Load in some data. […]

Learning Objectives
By the end of this section, it is intended that you will be able to:

Understand why syndication is important for your ePortfolio.
Prepare your site to be syndicated to others by making […]

In this section we get to the fun part–visualizing the data!  Remember from the first day, the underlying foundation for this course is represented by the graphic below:

But, we had to be able to ge […]

Habitat‐dependent occupancy and movement in a migrant songbird highlights the importance of mangroves and forested lagoons in Panama and Colombia.

The data we collect is numerous and as such each individual data type needs to be stored within some type of container. In this section, we will explore the various ways you can collect your data types into usable […]

For this week, we are going to begin writing individual pieces.  To further develop your Biographical Section, I want you to write a short piece for your site.  One of the most fundamental questions you will be a […]

OK, here we go. You must become familiar with the various types of data we will be working with.
Lecture
When we interact with our data in R, the language must know what kind of data we have.  For example, you […]

For this exercise you will complete the following:

Register for a rampages.us site.
Fill our the form so I know where it is.
Customize your site using themes (optional).
Write a short document […]

Here are the slides from the August Faculty Meeting

All students at VCU have access to online digital learning resources. The largest resource we have is through LinkedIn Learning, a collaboration between the LinkedIn Social Network and Lynda.com, the learning […]