more edits to pages for consistency

Author: Leah Wasser

_config.yml

@@ -137,7 +137,7 @@ kramdown:
   auto_ids: true
   footnote_nr: 1
   entity_output: as_char
-  toc_levels: 1..6
+  toc_levels: 1..3
   smart_quotes: lsquo,rsquo,ldquo,rdquo
   enable_coderay: false
 

_includes/class_navigation_week.html

@@ -63,8 +63,10 @@ <h4><a href="{{ the_path }}" ><i class="fa fa-home" aria-hidden="true"></i> Week
    {% assign previousWeek = page.week | minus: 1 %}
    {% capture previous_week_path %}{{ site.url }}/course-materials/earth-analytics/week-{{ previousWeek }}/{% endcapture %}
    <h5><a href="{{ previous_week_path }}" ><i class="fa fa-arrow-circle-left"></i> {{ previousWeek }} </a>
-   {% endif %}
    go to week
+   {% endif %}
+
+
    {% if page.week == 1 %}
     {% assign nextWeek = page.week | plus: 1 %}
     {% capture next_week_path %}{{ site.url }}/course-materials/earth-analytics/week-{{ nextWeek }}/{% endcapture %}

_includes/earth-analytics/homework-wk1.md

@@ -3,7 +3,7 @@
 
 <div class="notice--warning" markdown="1">
 
-## <i class="fa fa-pencil-square-o" aria-hidden="true"></i> Activity: Create A Report Using Knitr & RMarkdown
+## <i class="fa fa-pencil-square-o" aria-hidden="true"></i> Homework Submission: Create A Report Using Knitr & RMarkdown
 
 * Create a new rmarkdown `.Rmd` file in `Rstudio`. Name the file:
 `yourLastName-firstInitial-week1.Rmd` example: `wasser-l-week1.Rmd`
@@ -81,11 +81,11 @@ file will have more code in it.
 </figcaption>
 </figure>
 
-## Did the figure plot?
+### Troubleshooting: missing plot
 
 If the code above did not produce a plot, please check the following:
 
-### Check your working directory
+#### Check your working directory
 
 If the path to your file is not correct, then the data won't load into `R`.
 If the data don't load into `R`, then you can't work with it or plot it.

_pages/categories.md

@@ -1,17 +1,20 @@
 ---
 layout: archive
 permalink: /categories/
-title: "Browse by category deprecated page"
+title: "Browse by category"
 author_profile: false
 ---
 
+{% include toc title="Categories" icon="file-text" %}
 
 {% include base_path %}
 {% include group-by-array collection=site.posts field="categories" %}
 
 {% for category in group_names %}
   {% assign posts = group_items[forloop.index0] %}
-  <h1 id="{{ category | slugify }}" class="archive__subtitle">{{ category }}</h1>
+## {{ category }}
+{: .archive__subtitle }
+  <!-- <h2 id="{{ category | slugify }}" class="archive__subtitle"></h2> -->
   {% for post in posts %}
     {% include archive-single.html %}
   {% endfor %}

_posts/course-materials/earth-analytics/week-1/co-floods-1-intro/2016-12-06-erosion-01-intro-co-floods.md

@@ -9,7 +9,7 @@ permalink: /course-materials/earth-analytics/week-1/co-floods-1-intro/
 nav-title: 'CO Floods - Google Earth'
 module-nav-title: 'CO Floods Intro'
 dateCreated: 2016-12-06
-dateModified: 2016-12-12
+modified: 2016-12-12
 module-title: 'Understanding Disturbance With Data - Flooding & Erosion'
 module-description: 'This module introduces the concept of using data to Understand
 a natural phenomenon. Here, we use a combination of NOAA precipitation data and
@@ -51,7 +51,7 @@ Get Google Earth</a>
 
 </div>
 
-## Exploring Flood Damage
+## About the 2013 CO floods
 
 In early September 2013, a slow moving cold air front moved through Colorado
 intersecting with a warm, humid air front. The clash between the cold and warm
@@ -76,10 +76,10 @@ allows you to look at imagery of the earth, across time. Let's have a look at so
 of the visible changes.
 
 
-## STEPS HERE ABOUT HOW TO DOWNLOAD AND VIEW TIME SERIES IN GOOGLE EARTH
+### How to view time series imagery in Google Earth
 
 * Open Google Earth
-* Double click on the `.KMZ` file that you downloaded above. It should open in Google Earth.
+* Double click on the `.kmz` file that you downloaded above. It should open in Google Earth.
 
 <i fa fa-star></i>**Tip:** the `.kmz` file may not be automatically associated with Google Earth. If
 double clicking doesn't automatically open Google Earth, then Open Google Earth,
@@ -111,7 +111,7 @@ damage file. Scroll to 10/2012 and then to 10/2013. Do you see any differences?
 
 <div class="notice--warning" markdown="1">
 
-## <i class="fa fa-pencil-square-o" aria-hidden="true"></i> Activity: What Changes do you see?
+## <i class="fa fa-pencil-square-o" aria-hidden="true"></i> Activity: What changes do you see?
 
 As a group, discuss the following questions. Record your answers following the
 directions of your instructor (Google Doc, word document, etherpad, etc.).

_posts/course-materials/earth-analytics/week-1/co-floods-1-intro/2016-12-06-erosion-02-precip-discharge-r-example.md

@@ -3,7 +3,7 @@ layout: single
 title: "Work with Precipitation Data in R - 2013 Colorado Floods"
 excerpt: "This lesson provides students wiht an example of a data driven report to emphsize the importance of connecting data, documentation and results."
 authors: ['Leah Wasser', 'NEON Data Skills', 'Mariela Perignon']
-lastModified: 2017-01-06
+modified: 2017-01-06
 category: [course-materials]
 class-lesson: ['co-floods-1-intro']
 permalink: /course-materials/earth-analytics/week-1/co-floods-data-example-r/

_posts/course-materials/earth-analytics/week-1/co-floods-1-intro/2016-12-06-erosion-03-precip-discharge-data-co-floods.md

@@ -8,7 +8,7 @@ class-lesson: ['co-floods-1-intro']
 permalink: /course-materials/earth-analytics/week-1/precip-discharge/
 nav-title: 'Interactive Precip & Discharge Data'
 dateCreated: 2016-12-29
-dateModified: 2016-12-29
+modified: 2016-12-29
 module-title: 'Understanding Disturbance With Data - Flooding & Erosion'
 module-description: 'This module introduces the concept of using data to Understand
 a natural phenomenon. Here, we use a combination of NOAA precipitation data and

_posts/course-materials/earth-analytics/week-1/intro-knitr-rmd/2016-12-06-Rmd01-why-rmarkdown.md

@@ -8,7 +8,7 @@ class-lesson: ['intro-rmarkdown-knitr']
 permalink: /course-materials/earth-analytics/week-1/intro-rmarkdown-knitr/
 nav-title: 'Intro to R Markdown'
 dateCreated: 2016-12-12
-dateModified: 2016-12-12
+modified: 2016-12-12
 module-title: 'Document & Publish a Workflow with R Markdown & Knitr'
 module-nav-title: 'R Markdown Intro'
 module-description: 'This module teaches participants how to use R Markdown

_posts/course-materials/earth-analytics/week-1/intro-knitr-rmd/2016-12-06-Rmd04-intro-to-code-chunks.md

@@ -5,7 +5,7 @@ excerpt: 'This tutorial cover how code chunks are written and formatted within a
 R Markdown file in R Studio.'
 authors: [Leah Wasser, NEON Data Skills]
 category: [course-materials]
-lastModified: 2017-01-06
+modified: 2017-01-06
 class-lesson: ['intro-rmarkdown-knitr']
 permalink: /course-materials/earth-analytics/week-1/intro-rmarkdown-code-chunks/
 nav-title: 'Code Chunks'
@@ -183,7 +183,8 @@ or the
 ## <i class="fa fa-pencil-square-o" aria-hidden="true"></i> Activity: Add More Code to Your R Markdown
 
 Add a new chunk with the following arguments. Then describe in your own words
-what each argument does.
+when you might want to use each of these arguments. HINT: Think about creating a report
+with plots where you have a lot of code generating those plots.
 
 <pre><code>```{r testing-arguments, eval=FALSE }
 

_posts/course-materials/earth-analytics/week-1/intro-knitr-rmd/2016-12-06-Rmd05-knitr.md

@@ -5,7 +5,7 @@ description: "This tutorial introduces how to use the R knitr package to publish
 from R Markdown files to HTML (or other) file format."
 authors: ['Leah Wasser', 'NEON Data Skills']
 category: [course-materials]
-lastModified: 2017-01-06
+modified: 2017-01-06
 class-lesson: ['intro-rmarkdown-knitr']
 permalink: /course-materials/earth-analytics/week-1/knit-rmarkdown-document-to-pdf/
 nav-title: 'R knitr package'