approaches to visualization of trade networks
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Approaches to Visualization of Trade Networks. Ryan Denniston Duke Data Visualization Friday Forum November 16, 2012. Outline. The nature of the problem(s) Non-spatial approaches (Excel) Spatial approaches (ArcGIS) Sharing options. The Project. - PowerPoint PPT PresentationTRANSCRIPT
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APPROACHES TO VISUALIZATION OF TRADE NETWORKS
Ryan DennistonDuke Data Visualization Friday ForumNovember 16, 2012
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Outline
• The nature of the problem(s)
• Non-spatial approaches (Excel)
• Spatial approaches (ArcGIS)
• Sharing options
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The ProjectPolitical economy of tobacco control in Southeast Asia
• Southeast Asia increasingly wealthy, one of the few areas with low female prevalence
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The ProjectPolitical Economy of tobacco control in Southeast Asia
• Liberalized markets heighten importance of trade to health outcomes
• Principal origins and destinations of cigarettes within and from outside the region
• Especially large flows, indicative of transit points
• Trade discrepancies, suggesting smuggling activity
• Regional manufacturing hubs
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The ProjectASEAN Region – AFTA operational in 1996
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The Nature of the ProblemProvide a clear understanding of the underlying data• How important are the methods for the results?• Case selection (year, categories, etc.)
Effective communication to applied audiences• Visible impact with minimal explanation• Compelling• Mitigation of data anomalies (missing data, etc.)
Balance between comprehensiveness and complexity• At what point is the visualization overwhelming?• Who is the audience?
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Project DataData• Time series, cross sectional (annual)
• Multiple levels of analysis
• Typical sources: UN Comtrade, FAO
Bilateral Trade Data
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Non-Spatial Examples – Grouped Bars
• Visualizes relative positions of cases• Year and case selection not apparent• Single variable, no groupings without data manipulation
Cambodia Indonesia Malaysia Philippines Singapore Thailand Vietnam
-30,000
-20,000
-10,000
0
10,000
20,000
30,000
40,000
50,000
60,000
Net Trade, Cigarettes, Volume Basis
199020002008
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Non-Spatial Examples – Stacked Column
2000 2005 2010
-300000000
-250000000
-200000000
-150000000
-100000000
-50000000
0
50000000Vietnamese Cigarette Trade Discrepancies, Major Partners
Singapore China, Hong Kong SAR China, Macao SAR Malaysia Australia Germany France Greece United KingdomBrazil
• Visualizes relative positions of cases• Year selection not apparent
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Non-Spatial Examples – Line Charts
• Limited case selection
• Outliers and volatile data may cause problems
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 20090
50,000
100,000
150,000
200,000
250,000
Tobacco Production, 1990-2009
Cambodia Indonesia Laos MalaysiaPhilippines Singapore Thailand Vietnam Source: FAOSTAT
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Non-Spatial Examples – Line Chart
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 20090
10,000
20,000
30,000
40,000
50,000
60,000
70,000
Cigarette Exports, 1990-2009
Cambodia Indonesia Laos Malaysia Philippines Singapore Thailand Vietnam
Source: UN Comtrade and FAOSTAT
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Non-Spatial Examples – Line Chart
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 20090
10
20
30
40
50
60
70
80
90
100
Percentage of Cigarette Exports to ASEAN Region, Volume Basis, 1990-2009
Cambodia Indonesia Laos Malaysia Philippines Singapore Thailand
Source: UN Comtrade and FAOSTATNote: ASEAN region defined as eight selected countries
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Non-Spatial Examples – Radar Chart
Production (kg per capita)
Exports (kg per capita)
Consumption (kg per capita)
Imports (kg per capita) 0
1
2
Prototype Profile of Country with Little Trade Exposure
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Non-Spatial Examples – Radar Chart
Production (kg per capita)
Exports (kg per capita)
Consumption (kg per capita)
Imports (kg per capita) 0
1
2
Prototype Profile of Country with Likely Transshipments
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Non-Spatial Examples – Radar ChartProduction, MT
Exports, MT
Consumption, MT
Imports, MT -
50,000
100,000
20002008
Source: UN Comtrade and FAOSTATSource: UN Comtrade and FAOSTAT
Cigarette Production, Consumption, Exports, and Imports, Vietnam 1990-2008
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Non-Spatial Examples – Radar ChartProduction, MT
Exports, MT
Consumption, MT
Imports, MT 0
20000
40000
199020002008
Source: UN Comtrade and FAOSTATSource: UN Comtrade and FAOSTAT
Cigarette Production, Consumption, Exports, and Imports, Singapore, 1990-2008
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Non-Spatial Examples – Radar ChartProduction, MT
Exports, MT
Consumption, MT
Imports, MT -
20,000
40,000
199020002008
Source: UN Comtrade and FAOSTATSource: UN Comtrade and FAOSTAT
Cigarette Production, Consumption, Exports, and Imports, Cambodia, 1990-2008
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Non-Spatial Examples - TradeoffsProblems• Data volatility when range of years displayed• Outliers distort when multiple cases displayed• Repeated cross-section (year selection)• Limited number of cases due to complexity• Others?
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Spatial Examples – GIS SoftwareArcGIS essentially Excel with a column containing a shape (set of ordered coordinates)
• Qgis is an alternate program
• Recent tools launched to plot spatial data (addresses, lat/lon, some polygon sets, custom boundaries)
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Spatial Examples – Choropleth Maps
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Spatial Examples – Choropleth Maps
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Spatial Examples – Choropleth Maps
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Spatial ExamplesPotential problems• Year-over year volatility• Threshold selection (across cases and over time)• Zero value, not available• Time series, ArcGIS does not sense minimum and maximum• Trade networks at different level of analysis
Levels of analysis• Freeze one country, report its bilateral values over time• Find or create new layer at correct level of analysis
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Spatial Examples – Bilateral Trade
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Spatial Examples – Bilateral Trade
http://www.duke.edu/~rcd2/2.avi
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Spatial Examples – Bilateral Trade
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Spatial Examples – Bilateral Trade
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Spatial Examples – Bilateral Trade
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Spatial Examples – Bilateral Trade
http://www.duke.edu/~rcd2/4-incomplete.avi
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Spatial ExamplesProblems• Volatility of data remains• Tradeoff between complexity and comprehensiveness• Threshold selection• Stability possible with grouping, data transformation
http://www.duke.edu/~rcd2/Untitled.avi
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Spatial ExamplesArcScene is a 3D visualization and analysis program bundled with Map. Designed for x y z data, but can be coerced to multidimensional data.Mathematica, R, Matlab are other, likely better alternatives
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Tableau 7
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Tableau 7 - Sharinghttp://public.tableausoftware.com/views/ag_nc/Sheet1
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Tableau 7 – Custom Layershttp://public.tableausoftware.com/views/autos_test_1/Sheet1?:embed=y
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Tableau 7 – Custom Layers
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ArcGIS Online - Geocoding
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ArcGIS Onlinehttps://dukeuniv.maps.arcgis.com/explorer/?open=213f0e846ea84d03b198b9339645a936&extent=-8797614.54634536,4293258.24833525,-8771524.04069068,4306656.81009333
http://people.duke.edu/~rcd2/arcgis.html
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ArcGIS Online – Multiple Layers and Typeshttps://dukeuniv.maps.arcgis.com/explorer/?open=e43f3f5ef5b74d70b67ce9a9c49eef24&extent=-4388260.72929949,3794930.68242125,6008705.13322915,9285828.27856918
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Google Fusion Tables
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Google Fusion Tables
https://www.google.com/fusiontables/DataSource?docid=1AwhNH8tuJE1DKDCS2XIXE7coEn97mnjdWKt9Z-Q
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Google Fusion Tables
https://www.google.com/fusiontables/DataSource?docid=1KGksrlD62Rbf0ZbymCMmQvnZohNwfhTFjiz64g
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LinksVids1. http://www.duke.edu/~rcd2/2.avi2. http://www.duke.edu/~rcd2/4-incomplete.avi3. http://www.duke.edu/~rcd2/Untitled.avi
Sites1. http://public.tableausoftware.com/views/ag_nc/Sheet12. http://public.tableausoftware.com/views/autos_test_1/Sheet1?:embed=y3. https://dukeuniv.maps.arcgis.com/explorer/?open=213f0e846ea84d03b198b9339645a936&extent=-8797614.54634536,4293258.24833525,-8771524.04069068,4306656.810093334. https://dukeuniv.maps.arcgis.com/explorer/?open=e43f3f5ef5b74d70b67ce9a9c49eef24&extent=-4388260.72929949,3794930.68242125,6008705.13322915,9285828.278569185. http://people.duke.edu/~rcd2/arcgis.html6. https://www.google.com/fusiontables/DataSource?docid=1KGksrlD62Rbf0ZbymCMmQvnZohNwfhTFjiz64g