added template files

00-Example-First-File-Name.Rmd

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+---
+layout: post
+title: "Lesson Title Goes here"
+date:   2015-1-26 20:49:52
+authors: "FirstName LastName, FirstName LastName"
+dateCreated:  2014-11-26 20:49:52
+lastModified: 2015-07-23 14:28:52
+category: time-series-workshop
+tags: [module-1]
+mainTag: GIS-Spatial-Data
+description: "This post explains the fundamental principles, functions and metadata that you need to work with raster data in R."
+code1: 
+image:
+  feature: lidar_GrandMesa.png
+  credit: LiDAR data collected over Grand Mesa, Colorado - National Ecological Observatory Network (NEON)
+  creditlink: http://www.neoninc.org
+permalink: /R/Raster-Data-In-R/
+code1: /R/2015-07-22-Introduction-to-Raster-Data-In-R.R
+comments: true
+
+---
+
+<section id="table-of-contents" class="toc">
+  <header>
+    <h3>Contents</h3>
+  </header>
+<div id="drawer" markdown="1">
+*  Auto generated table of contents
+{:toc}
+</div>
+</section><!-- /#table-of-contents -->
+
+##About
+This activity will walk you through the fundamental principles of working 
+with raster data in R.
+
+**R Skill Level:** Intermediate - you've got the basics of `R` down.
+
+<div id="objectives">
+
+<h3>Goals / Objectives</h3>
+After completing this activity, you will know:
+<ol>
+<li>What a raster dataset is and its fundamental attributes.</li>
+<li>How to import rasters into `R` using the raster library.</li>
+<li>How to perform raster calculations in `R`.</li>
+</ol>
+
+<h3>Things You'll Need To Complete This Lesson</h3>
+
+<h3>R Libraries to Install:</h3>
+<ul>
+<li><strong>raster:</strong> <code> install.packages("raster")</code></li>
+<li><strong>rgdal:</strong> <code> install.packages("rgdal")</code></li>
+
+</ul>
+<h4>Tools To Install</h4>
+
+Please be sure you have the most current version of `R` and preferably
+R studio to write your code.
+
+
+<h4>Data to Download</h4>
+
+Download the raster and *in situ* collected vegetation structure data:
+<ul>
+<li><a href="http://neonhighered.org/Data/LidarActivity/CHM_InSitu_Data.zip" class="btn btn-success"> DOWNLOAD Sample NEON LiDAR data in Raster Format & Vegetation Sampling Data</a></li>
+<li><a href="{{ site.baseurl }}/data/rasterLayers_tif.zip" class="btn btn-success"> DOWNLOAD NEON imagery data (tiff format) California Domain 17 (D17)</a></li>
+</ul>
+
+<p>The LiDAR and imagery data used to create the rasters in this dataset were 
+collected over the San Joaquin field site located in California (NEON Domain 17) 
+and processed at <a href="http://www.neoninc.org" target="_blank" >NEON </a> 
+headquarters. The entire dataset can be accessed by request from the NEON website.</p>  
+
+<h4>Recommended Pre-Lesson Reading</h4>
+<ul>
+<li>
+<a href="{{ site.baseurl }}/GIS-Spatial-Data/Working-With-Rasters/" target="_blank">
+The Relationship Between Raster Resolution, Spatial extent & Number of Pixels - in R</a>
+</li>
+<li>
+<a href="http://cran.r-project.org/web/packages/raster/raster.pdf" target="_blank">
+Read more about the `raster` package in R.</a>
+</li>
+</ul>
+</div>
+
+#About Raster Data
+Raster or "gridded" data are data that are saved in pixels. In the spatial world, 
+each pixel represents an area on the Earth's surface. For example in the raster 
+below, each pixel represents a particular land cover class that would be found in 
+that location in the real world. 
+<a href="{{ site.baseurl }}/GIS-Spatial-Data/Working-With-Rasters/"> More on 
+rasters here</a>. 

CONTRIBUTORS.md

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+# NEON-DC-DataLesson-Hackathon
+A repo for the spatio-temporal data lesson hackathon.

RMarkdownTemplate.Rmd

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+---
+layout: post
+title: "Lesson Title Goes here"
+date:   2015-1-26 20:49:52
+authors: "FirstName LastName, FirstName LastName"
+dateCreated:  2014-11-26 20:49:52
+lastModified: 2015-07-23 14:28:52
+category: time-series-workshop
+tags: [module-1]
+mainTag: GIS-Spatial-Data
+description: "This post explains the fundamental principles, functions and metadata that you need to work with raster data in R."
+code1: 
+image:
+  feature: lidar_GrandMesa.png
+  credit: LiDAR data collected over Grand Mesa, Colorado - National Ecological Observatory Network (NEON)
+  creditlink: http://www.neoninc.org
+permalink: /R/Raster-Data-In-R/
+code1: /R/2015-07-22-Introduction-to-Raster-Data-In-R.R
+comments: true
+
+---
+
+<section id="table-of-contents" class="toc">
+  <header>
+    <h3>Contents</h3>
+  </header>
+<div id="drawer" markdown="1">
+*  Auto generated table of contents
+{:toc}
+</div>
+</section><!-- /#table-of-contents -->
+
+##About
+This activity will walk you through the fundamental principles of working 
+with raster data in R.
+
+**R Skill Level:** Intermediate - you've got the basics of `R` down.
+
+<div id="objectives">
+
+<h3>Goals / Objectives</h3>
+After completing this activity, you will know:
+<ol>
+<li>What a raster dataset is and its fundamental attributes.</li>
+<li>How to import rasters into `R` using the raster library.</li>
+<li>How to perform raster calculations in `R`.</li>
+</ol>
+
+<h3>Things You'll Need To Complete This Lesson</h3>
+
+<h3>R Libraries to Install:</h3>
+<ul>
+<li><strong>raster:</strong> <code> install.packages("raster")</code></li>
+<li><strong>rgdal:</strong> <code> install.packages("rgdal")</code></li>
+
+</ul>
+<h4>Tools To Install</h4>
+
+Please be sure you have the most current version of `R` and preferably
+R studio to write your code.
+
+
+<h4>Data to Download</h4>
+
+Download the raster and *in situ* collected vegetation structure data:
+<ul>
+<li><a href="http://neonhighered.org/Data/LidarActivity/CHM_InSitu_Data.zip" class="btn btn-success"> DOWNLOAD Sample NEON LiDAR data in Raster Format & Vegetation Sampling Data</a></li>
+<li><a href="{{ site.baseurl }}/data/rasterLayers_tif.zip" class="btn btn-success"> DOWNLOAD NEON imagery data (tiff format) California Domain 17 (D17)</a></li>
+</ul>
+
+<p>The LiDAR and imagery data used to create the rasters in this dataset were 
+collected over the San Joaquin field site located in California (NEON Domain 17) 
+and processed at <a href="http://www.neoninc.org" target="_blank" >NEON </a> 
+headquarters. The entire dataset can be accessed by request from the NEON website.</p>  
+
+<h4>Recommended Pre-Lesson Reading</h4>
+<ul>
+<li>
+<a href="{{ site.baseurl }}/GIS-Spatial-Data/Working-With-Rasters/" target="_blank">
+The Relationship Between Raster Resolution, Spatial extent & Number of Pixels - in R</a>
+</li>
+<li>
+<a href="http://cran.r-project.org/web/packages/raster/raster.pdf" target="_blank">
+Read more about the `raster` package in R.</a>
+</li>
+</ul>
+</div>
+
+#About Raster Data
+Raster or "gridded" data are data that are saved in pixels. In the spatial world, 
+each pixel represents an area on the Earth's surface. For example in the raster 
+below, each pixel represents a particular land cover class that would be found in 
+that location in the real world. 
+<a href="{{ site.baseurl }}/GIS-Spatial-Data/Working-With-Rasters/"> More on 
+rasters here</a>. 

Rakefile.rb

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+require "rubygems"
+require "bundler/setup"
+require "stringex"
+
+## -- Config -- ##
+
+posts_dir       = "_lessons"    # directory for blog files
+new_post_ext    = "md"  # default new post file extension when using the new_post task
+new_page_ext    = "md"  # default new page file extension when using the new_page task
+
+
+#############################
+# Create a new Post or Page #
+#############################
+
+# usage rake new_post
+desc "Create a new post in #{posts_dir}"
+task :new_post, :title do |t, args|
+  if args.title
+    title = args.title
+  else
+    title = get_stdin("Enter a title for your post: ")
+  end
+  filename = "#{posts_dir}/#{Time.now.strftime('%Y-%m-%d')}-#{title.to_url}.#{new_post_ext}"
+  if File.exist?(filename)
+    abort("rake aborted!") if ask("#{filename} already exists. Do you want to overwrite?", ['y', 'n']) == 'n'
+  end
+  category = get_stdin("Enter category name to group your post in (leave blank for none): ")
+  tags = get_stdin("Enter tags to classify your post (comma separated): ")
+  puts "Creating new post: #{filename}"
+  open(filename, 'w') do |post|
+    post.puts "---"
+    post.puts "layout: post"
+    post.puts "title: \"#{title.gsub(/&/,'&')}\""
+    post.puts "modified: #{Time.now.strftime('%Y-%m-%d %H:%M:%S %z')}"
+    post.puts "category: [#{category}]"
+    post.puts "tags: [#{tags}]"
+    post.puts "image:"
+    post.puts "  feature: "
+    post.puts "  credit: "
+    post.puts "  creditlink: "
+    post.puts "comments: "
+    post.puts "share: "
+    post.puts "---"
+  end
+end
+
+# usage rake new_page
+desc "Create a new page"
+task :new_page, :title do |t, args|
+  if args.title
+    title = args.title
+  else
+    title = get_stdin("Enter a title for your page: ")
+  end
+  filename = "#{title.to_url}.#{new_page_ext}"
+  if File.exist?(filename)
+    abort("rake aborted!") if ask("#{filename} already exists. Do you want to overwrite?", ['y', 'n']) == 'n'
+  end
+  tags = get_stdin("Enter tags to classify your page (comma separated): ")
+  puts "Creating new page: #{filename}"
+  open(filename, 'w') do |page|
+    page.puts "---"
+    page.puts "layout: page"
+    page.puts "permalink: /#{title.to_url}/"
+    page.puts "title: \"#{title}\""
+    page.puts "modified: #{Time.now.strftime('%Y-%m-%d %H:%M')}"
+    page.puts "tags: [#{tags}]"
+    page.puts "image:"
+    page.puts "  feature: "
+    page.puts "  credit: "
+    page.puts "  creditlink: "
+    page.puts "share: "
+    page.puts "---"
+  end
+end
+
+def get_stdin(message)
+  print message
+  STDIN.gets.chomp
+end
+
+def ask(message, valid_options)
+  if valid_options
+    answer = get_stdin("#{message} #{valid_options.to_s.gsub(/"/, '').gsub(/, /,'/')} ") while !valid_options.include?(answer)
+  else
+    answer = get_stdin(message)
+  end
+  answer
+end