Update intro.html

Author: OMesserges

_includes/dc/intro.html

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 <p>
-  <a href="{{site.dc_site}}">Data Carpentry</a> develops and teaches workshops on the fundamental data skills needed to conduct
-  research. Its target audience is researchers who have little to no prior computational experience,
-  and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly
-  apply skills learned to their own research.
-  Participants will be encouraged to help one another
-  and to apply what they have learned to their own research problems.
+  The goal of this workshop is to  provide an introduction to core geospatial data concepts and dive into working with raster/vector data, 
+  including how to open, work with, and plot vector and raster-format spatial data in R. Additional topics include working with spatial metadata 
+  (extent and coordinate reference systems), reprojecting spatial data, and working with raster time series data. This lesson assumes you have some 
+  knowledge of R. If you’ve never used R before, or need a refresher, start with our <a href="http://www.datacarpentry.org/r-intro-geospatial/">Introduction to R for Geospatial Data lesson webpage</a>. 
+  You can follow along with this prerequisite lesson via this <a href="https://www.youtube.com/watch?v=Dm6rKGtGaS8">recorded video series</a>.
 </p>
 <p align="center">
   <em>
     For more information on what we teach and why,
     please see our paper
-    "<a href="https://doi.org/10.1371/journal.pcbi.1005510">Good Enough Practices for Scientific Computing</a>".
+    "<a href="http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005510">Good Enough Practices for Scientific Computing</a>".
   </em>
 </p>