Georeferencing for Research Use: Difference between revisions

Georeferencing for Research Use (view source)

Revision as of 13:23, 25 August 2016

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Seltmann

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 ### https://vimeo.com/album/2163673/video/63692461 (4 min lecture only)
 ## Point Radius Method and Best Practices: https://vimeo.com/53006303 (20 min lecture, 5 min discussion)
-## '''[[OPTIONAL]] video''': [https://plus.google.com/events/c0sjgu7mjp85vjel5rj8enq9ib0 BITC Global Online Seminar #25: Simple Workflow for Data Cleaning] (1 hour)
+## '''OPTIONAL video''': [https://plus.google.com/events/c0sjgu7mjp85vjel5rj8enq9ib0 BITC Global Online Seminar #25: Simple Workflow for Data Cleaning] (1 hour)
 # Please '''install the following software'''
 ## '''QGIS''' and [http://plugins.qgis.org/plugins/ QGIS Plugins]
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 ### We'll be using a spreadsheet program. If you already have a spreadsheet program installed, like LibreOffice, Excel or OpenOffice, you can use whatever you already have. If you don't have a spreadsheet program, please download and install LibreOffice from http://www.libreoffice.org/download/libreoffice-fresh/
 ## '''Java''': Please make sure you have [https://java.com/en/download/ Java installed] (needed for Open Refine to work).
-# [[OPTIONAL]] software install and tutorials - if you are interested in the R section we will offer at the workshop.
+# OPTIONAL software install and tutorials - if you are interested in the R section we will offer at the workshop.
 ## '''R''': R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.
 ### '''Windows'''
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 #### Also, please [http://www.rstudio.com/ide/download/desktop install the RStudio IDE].
 ## Then install packages:
-## R Tutorials. [[OPTIONAL]] take a short course in R. If you are a novice, take a beginner course. We don't expect you know know R well, but we do need you be familiar enough to follow along with one of our optional hands-on sessions. There are several good options:
+## R Tutorials. OPTIONAL take a short course in R. If you are a novice, take a beginner course. We don't expect you know know R well, but we do need you be familiar enough to follow along with one of our optional hands-on sessions. There are several good options:
 ###[http://tryr.codeschool.com/ Try R] (Code School course)
 ### Beginner Course: [http://www.lynda.com/R-training-tutorials/1570-0.html?category=beginner_337 Up and Running with R with Barton Poulson] (course at lynda.com)