Subject Re: Using GIS data for layouts
From Katherine OgnyanovaAdd contact
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Date Today 20:24
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Hi Melonie,
The workshop materials (code, sample data, handouts) will be available online during and after the
Sunbelt conference.
As for existing guides that deal specifically with geographic layouts, here are couple of quick pointers
off the top of my head:
1) Martin Grandjean has a nice Gephi tutorial that includes a section on geo-layouts:
http://www.martingrandjean.ch/gephi-introduction/
2) Nathan Yau at Flowing Data had a decent tutorial on geo-networks in R, though his approach has some
issues that have to be ironed out as you apply it to your data:
http://bit.ly/1QNe4WD
A couple more R examples:
http://stanford.io/1A17fwB
http://bit.ly/1WOf3sJ
Best!
Katya
Subject Re: Using GIS data for layouts
From kalev leetaruAdd contact
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Date Today 18:10
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Forgot to include the link for the GraphViz-based network visualizations - here's a sample map and the
PERL script that handles the projection and rendering pipeline:
http://blog.gdeltproject.org/a-city-level-network-diagram-of-2015-in-one-line-of-sql/
~K
Subject Re: Using GIS data for layouts
From kalev leetaruAdd contact
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Date Today 18:06
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Hi Samantha et al, for geospatial networks I use two approaches:
1) For smaller networks I use Gephi's Geo Layout plugin and use a PERL script to write GEXF files with
embedded lat/long coordinate attributes on the nodes. I export the final network with a transparent
background and then align on top of the desired geographic basemap. You can see two examples here:
http://blog.gdeltproject.org/mapping-the-geographic-networks-of-global-refugee-flows/
http://blog.gdeltproject.org/a-country-level-network-diagram-of-2015/
2) For extremely large to massive networks I use GraphViz and project into its coordinate space, using its
rasterizer to render the final image, which I then composite against a basemap using ImageMagick. While not
the absolute fastest rasterizer possible (no hardware acceleration for example), I've found GraphViz to be
among the most scalable and fastest of the libraries and tools I've worked with to be able to scale to
extremely large geographic networks.
I have not tried it yet, but GraphViz also has a built-in edge bundling library called "mingle" that has a
lot of promise for very dense geographic networks.
~K
On Wed, Jan 27, 2016 at 11:10 AM, Richey, Melonie <mrichey@camber.com> wrote:
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Katya,
Unfortunately, I will be unable to attend the Sunbelt conference this year (missed it two years running).
I am, however, very interested in your tutorials using Gephi and R for geospatial networks. Is there
anywhere that this information is available? Perhaps a slide deck, a podcast, an online course, a virtual
workshop, anything like that?
Thanks, in advance!
Melonie Richey
mrichey@camber.com
703-707-5623
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