Transcript Creating a Web-based Exploratory Spatial Data Analysis Application

CartoVis: A Web-based
Exploratory Spatial Data Analysis
Application
Ryan Stanley
West Virginia University
Introduction
• Project Objective
– Create a prototype web-based Exploratory
Spatial Data Analysis (ESDA) application
that allows users to upload, visualize, and
explore spatial data in 2D and 3D
– Implement a select suite of graphing and
geovisualization tools that illustrate the
possibility of ESDA in a web environment
Application Layout
Menu Bar
Graph View
Map View
Table View
Application Features
• Mapping
– Choropleth
• equal intervals
• standard deviation
• quantile
• box plot
• natural breaks (Jenks)
– Continuous Area
Cartogram
– 3D choropleth
• Graphing
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Histogram
Scatterplot
Box Plot
Parallel Coordinate Plot
• Other Features
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Attribute table
Brushing and linking
Map labels
Basemaps
Video
http://cartovis.com
EDA and ESDA
• Exploratory Data Analysis (EDA)
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John W. Tukey, 1977, Exploratory Data Analysis
Emphasis on graphical analysis of data
Hypothesis generation rather than hypothesis testing
A philosophical approach to data analysis
• ESDA
– The merging of spatial data analysis and EDA
– A collection of techniques used to describe and
visualize spatial data distributions
Geovisualization
• The application of graphics to understand
relationships and patterns in spatial data
• International Cartographic Association definition:
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visualization in scientific computing (ViSC)
cartography
image analysis
information visualization
exploratory data analysis (EDA)
tools for visual exploration, analysis, synthesis, and
presentation of geospatial data
Languages and Libraries
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HTML5
CSS3
Python (Django)
JavaScript
GDAL
PostgreSQL
TopoJSON
Linux Server
JavaScript Libraries
• D3.js
• TopoJSON.js
• Colorbrewer.js
• jQuery and jQuery UI
• jQuery Datatables
• Leaflet
• Cartogram.js
• JavaScript Topology Suite
• simple-statistics.js
• Three.js
Future Considerations
• More statistical functions/tools
• Include spatial statistics functions
(e.g. Moran’s I) using PySal
• Additional graph types
• Print to PDF/ Reports
• Additional options for symbolizing 3D
features
Conclusion
• CartoVis.com
– A prototype web-based Exploratory Spatial
Data Analysis (ESDA) application that allows
users to upload, visualize, and explore spatial
data in 2D and 3D
– Lays the groundwork for creating a fully
featured web-based ESDA application