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Haskell Data Analysis cookbook

You're reading from   Haskell Data Analysis cookbook Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783286331
Length 334 pages
Edition 1st Edition
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Author (1):
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Nishant Shukla Nishant Shukla
Author Profile Icon Nishant Shukla
Nishant Shukla
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Toc

Table of Contents (14) Chapters Close

Preface 1. The Hunt for Data FREE CHAPTER 2. Integrity and Inspection 3. The Science of Words 4. Data Hashing 5. The Dance with Trees 6. Graph Fundamentals 7. Statistics and Analysis 8. Clustering and Classification 9. Parallel and Concurrent Design 10. Real-time Data 11. Visualizing Data 12. Exporting and Presenting Index

Working with hexagonal and square grid networks


Sometimes, the graph we're dealing with has a strict structure, such as a hexagonal or square grid. Many video games use a hexagonal grid layout to facilitate diagonal movement because moving diagonally in a square grid complicates the values of the traveled distance. On the other hand, square grid structures are often used within graphs to traverse pixels for image manipulation algorithms such as flood fill.

There is a very useful library in the Haskell package listing to deal with such topologies. We can obtain the indices of a grid to traverse the world, which is essentially a path embedded in a graph. For each grid index, we can query the library to find the neighboring indices, effectively using grids as a graph.

Getting started

Review the package documentation located at https://github.com/mhwombat/grid/wiki.

Install the grid package using cabal:

$ cabal install grid

How to do it...

In a new file, which we will name Main.hs, insert the following...

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