In Intel Analytic DC's first meetup, Danny Holloway presented a tool that allows users to find and map the latest tweets in Australia using Leaflet, TileMill, MongoDB, and other technologies. Given the audience interest in geospatial technologies/analytics and web-based mapping, this presentation introduces and provides examples using the HumanGeo Data Visualization Framework, a soon to be released open source JavaScript framework based on CloudMade's Leaflet web-mapping framework. The goal of the Data Visualization Framework is to provide a core set of capabilities for visualizing data using Leaflet while simplifying common tasks and reducing the amount of code that developers need to write in order to create compelling geospatial visualizations.

1. Advanced Web-Based Geospatial
Visualization using Leaflet
Intel Analytics DC
Dec. 11, 2012
Scott Fairgrieve

2. Agenda
• Web mapping challenges
• Leaflet Overview
• Overview of HumanGeo’s Leaflet Data Visualization
Framework
• Examples
• Next Steps
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3. Challenges
• Deciding what mapping framework to use
– There are lots of options (Google
Maps, Bing, Yahoo, OpenLayers, etc.), each with its own API
– This presentation focuses on Leaflet
• Understanding the structure/format of the data that’s going to be
visualized
– Is it web map/JavaScript friendly?
– Does it work well with the mapping framework you’ve chosen?
– Will you always be dealing with the same format?
– Integrating data from a variety of sources typically requires custom code
or code to standardize formats
• Lots of different ways of specifying location: lat/lon, grid
formats, addresses, country/state codes, city names, etc.
– Handling location formats other than lat/lon can be difficult and often
requires additional web services
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4. Visualizing Data on a 2D (Web) Map
• Want to highlight variations in data
• Typical approach: Vary the styling of
points, lines, and polygons based on one
or more values of the data
• Primary options
– Marker Size/Radius
– Color/Fill Color
• Other options
– Line weight – useful when illustrating
variation between line features
– Opacity – useful for illustrating
time, counts, etc.
– Polygons – filled vs. empty, border vs. no
border
– Line style – dashed vs. solid
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5. Examples – USGS Earthquakes Map
http://earthquake.usgs.gov/earthquakes/map/

6. Examples – Choropleth/Infographics
Bill and Melinda Gates Foundation
Bureau of Education and Cultural Affairs
EngineYard.com
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7. Leaflet Overview
• Developed by CloudMade
• Relatively new (first released in 2011)
• Simple compared to other JavaScript web mapping
frameworks  a pro and a con
• Smooth animation and works well on mobile devices
• Pretty good documentation/examples
• http://leafletjs.com/index.html
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8. Leaflet Basic Options
• Displaying point, line, and
polygon features
– L.Marker and L.Marker w/
L.DivIcon
– L.CircleMarker
– L.Polyline
– L.Polygon
• Loading data
– L.GeoJSON
Images from the Leaflet website
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9. Leaflet Vector Layers
• Leaflet is Scalable Vector Graphics (SVG) based
• Behind the scenes, non-image based markers are
drawn using an SVG path element
<path [path attributes] d=”[path data (e.g. M548 254L548 49L676
49L676 254L548 254z)]"></path>
• Leaflet style options are mapped to path attributes
• Style options include:
color, fillColor, opacity, fillOpacity, weight, dashArray,
stroke, fill, radius
• We can create custom markers dynamically by
inheriting from the L.Path class
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10. HumanGeo’s Leaflet Data Visualization Framework
• Started as a side project (a few hours per week)
• A work in progress (still in the alpha phase)
• Goals:
– Enable cool, interactive, infographic style visualizations
– Support displaying data in any JSON-based data format
– Eliminate redundant code/tasks related to displaying data
– Standardize the way in which data are loaded/displayed
– Minimize dependency on server-side components for
typical use cases (e.g. visualizing data by state or country)
– Remain consistent with Leaflet’s coding style
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11. Color – RGB
• Most of us are familiar with RGB color, but it’s not
always the best approach
• What color is this? rgb(213,154,10) or #D59A0A
Gold
• Hue, Saturation, Luminosity/Lightness or HSL color
provides a more intuitive color definition than RGB
and is great for scientific visualizations/geo analytics
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12. Color - HSL
• Hue represents a degree <L H >L R G B
value on the color wheel 0 255 0 0
– Varies according to the colors 30 255 127 0
of the visible spectrum – the 60 255 255 0
rainbow ROYGBIV pattern that
is familiar to most people 90 127 255 0
• Saturation represents the 120 45 255 0
percentage of the given hue 150 45 255 84
that is present in a color: 180 43 255 255
– 0% = gray 210 13 95 255
– 100% = full hue 240 0 0 255
• Luminosity represents the 270 99 0 255
percentage of lightness in a 300 249 0 255
color: 330 249 0 112
– 0% = black 360 255 0 0
– 50% = hue
– 100% = white
Source: Wikipedia
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13. Framework Basics – Linear Functions for Dynamic Styling
• y = mx + b
• Useful for varying one property
linearly with respect to another
property (e.g. mapping temperature
to marker radius)
– x = data property
– y = style property
• Numeric properties (radius, weight,
opacity, fillOpacity) 
L.LinearFunction Image Source: Wikipedia
• color, fillColor  L.HSLHueFunction,
L.HSLLuminosityFunction,
L.HSLSaturationFunction, other color
function classes
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14. Framework Basics – New Marker Types
• L.RegularPolygonMarker
• Charts:
– L.PieChartMarker
– L.BarChartMarker
– L.RadialBarChartMarker
– L.CoxcombChartMarker
– L.RadialMeterMarker
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15. Framework Basics – Data Layers
• L.DataLayer
– Automates the work of displaying data
regardless of the structure of the data
– Handles country codes, state codes, and
custom location formats in addition to
lat/lon
– Provides a legend for free
• L.MarkerDataLayer
• L.ChoroplethDataLayer
• Charts
– L.PieChartDataLayer
– L.BarChartDataLayer
– L.RadialBarChartDataLayer
– L.CoxcombChartDataLayer
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16. Examples
• USGS Earthquakes
• Meetup Finder
• Election Maps
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17. USGS Earthquakes
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18. Meetup Finder
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19. Election Maps
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20. Next Steps
• Clean up, simplify, test, and document code
• Write tutorials/blog posts (in the works)
• Consider additional marker and data layer types and
additional classes/functions for making things easier
• Release code on GitHub
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21. Interested in Using the Framework?
• Look for code to be released on HumanGeo’s GitHub
site: https://github.com/humangeo
• Watch for updates/tutorials on HumanGeo’s blog:
http://blog.thehumangeo.com
• Send me an e-mail if you’re interested or want to
contribute: scott@thehumangeo.com
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