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Mastering Clojure Data Analysis

You're reading from  Mastering Clojure Data Analysis

Product type Book
Published in May 2014
Publisher
ISBN-13 9781783284139
Pages 340 pages
Edition 1st Edition
Languages
Author (1):
Eric Richard Rochester Eric Richard Rochester
Profile icon Eric Richard Rochester

Table of Contents (17) Chapters

Mastering Clojure Data Analysis
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Network Analysis – The Six Degrees of Kevin Bacon 2. GIS Analysis – Mapping Climate Change 3. Topic Modeling – Changing Concerns in the State of the Union Addresses 4. Classifying UFO Sightings 5. Benford's Law – Detecting Natural Progressions of Numbers 6. Sentiment Analysis – Categorizing Hotel Reviews 7. Null Hypothesis Tests – Analyzing Crime Data 8. A/B Testing – Statistical Experiments for the Web 9. Analyzing Social Data Participation 10. Modeling Stock Data Index

Working with ArcGIS


Working with projections and base maps can be fiddly and prone to errors. While there are Java libraries that can help us with this, let's use the major software package in this domain, ArcGIS, for the purposes of this demonstration. While it's awesome to be able to program solutions in a powerful, flexible language like Clojure, sometimes, it's nicer to get pretty pictures quickly.

We're going to start this by getting the base layer. ESRI maintains a set of topological maps, and this map of the United States is perfect for this:

  1. Navigate to http://www.arcgis.com/home/item.html?id=99cd5fbd98934028802b4f797c4b1732 to view ESRI's page on the US Topo Maps.

  2. Click on the Open dropdown.

  3. Select the option that allows you to get ArcGIS Desktop to open the layer.

Now we'll add our data. This was created using the functions that we defined earlier as well as a few more that are available in this chapter's code download:

  1. The data is available at http://www.ericrochester.com/clj-data...

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