Javabased Dynamic Linked Micromap Plots - PowerPoint PPT Presentation

Loading...

PPT – Javabased Dynamic Linked Micromap Plots PowerPoint presentation | free to view - id: 1a7bfc-ZDc1Z



Loading


The Adobe Flash plugin is needed to view this content

Get the plugin now

View by Category
About This Presentation
Title:

Javabased Dynamic Linked Micromap Plots

Description:

A pull-down menu allows a user to define the foreground (as well as the ... A navigation pull-down menu is also provided for a user to choose and view any ... – PowerPoint PPT presentation

Number of Views:26
Avg rating:3.0/5.0
Slides: 25
Provided by: jimx
Category:

less

Write a Comment
User Comments (0)
Transcript and Presenter's Notes

Title: Javabased Dynamic Linked Micromap Plots


1
Java-based Dynamic Linked Micromap Plots
Jim X. Chen, (George Mason University),
jchen_at_cs.gmu.edu,Xusheng Wang, (George Mason
University), xwang1_at_gmu.edu,Daniel B. Carr,
(George Mason University), dcarr_at_galaxy.gmu.edu,B
. Sue Bell (National Cancer Institute),
bellsu_at_mail.nih.gov, andLinda W. Pickle,
(National Cancer Institute), picklel_at_mail.nih.gov
2
What is a Linked Micromap Plot?
  • A template for displaying spatially-indexed
    statistical summaries Carr et. al. 1998
  • Four key features
  • At least three columns of study unit descriptors
  • micromaps, labels, and statistical
    graphics
  • One of the columns is sorted
  • The units are grouped into rows of panels to
    focus attention
  • Distinct colors distinguish the units in a group.
    The color for a unit links across its
    descriptors.

3
Project Highlights
  • Before
  • displayed on a stand-alone system
  • static presentation (not interactive)
  • Now
  • web-based interactive system
  • data selection geographic resolution and
    variables
  • sorting for any column
  • mouse tips, popups, drill down, and other viewing
    options
  • more interaction, involvement and understanding

4
Data Resource
  • Sample data as the test-bed
  • The data is restricted to cervix, lung and
    bronchus, but can be readily extended

5
A Snapshot
http//graphics.gmu.edu/xwang/cancer4/
6
Structure
  • Four parallel sequences of panels (columns)
  • US or State micromaps
  • State or County names
  • Summary1 Mortality Rate and Confidence Intervals
  • Summary2 variable

7
Dynamic Features
  • A study unit displays the data of a State or a
    County
  • View 41 study units in one frame at a time.
    Display becomes scrollable for more study units
  • Show statistical value as a dot and its CI
    (confidence interval) with line segments on both
    sides

8
Sorting
  • Each column has a sorting button (except
    micromap)
  • An up-triangle icon on button ascending sorting
  • An down-triangle icon on button descending
    sorting
  • Sorting on a summary the dot curve shows the
    relative relationships among the study units

9
Linking
  • The descriptors for a study unit can be linked in
    different ways
  • Color
  • Blinking for an active study unit (mouse pointer)

10
Grouping
  • The study units are grouped to help focus
    attention on a few units at a time
  • One group includes five study units.
  • Five different colors differentiate the study
    units

11
Coloring Scheme
  • Three coloring schemes from a pull-down menu
  • Spectral for most users
  • Sequential for color blind and black-and-white
    printing
  • Divergent for color blind, but not for
    black-and-white printing

12
Micromaps
  • Locate study units geographically and reveal
    spatial patterns
  • Study units are colored in a group with a chosen
    coloring scheme
  • Background and foreground colors categorize study
    units not in the current group
  • Background study units a gray color with a white
    outline
  • Foreground study units a white or yellow color
    with a black outline

13
Foreground Study Units
  • A pull-down menu allows a user to define the
    foreground (as well as the background) study
    units
  • Has appeared the foreground study units have
    appeared in the previous micromaps
  • Will appear the foreground study units will
    appear in the following micromaps
  • Above/below median the foreground study units
    are above the median of the sorted units

14
Micromap Magnification
  • Allows a user to zoom in on a micromap for
    studying locations and relationships in detail
  • Interactive a study unit with coloring schemes
    (mouse pointer)
  • Only the current study unit micromap is magnified
  • Left-click the button next to the micromap title
  • Right-click a study unit name
  • Right-click a study unit dot

15
Automatic Scrolling
  • From a micromap or a magnified micromap, if a
    study unit does not appear in the display
  • click the right mouse button and the
    corresponding study unit will be automatically
    scrolled into the display

16
Drill-down and Navigation
  • Clicking an active link from a high-level LM
    plot, a user can drill down to view the
    corresponding low-level LM plot
  • Drill-down also works in the magnified micromap
  • A navigation pull-down menu is also provided for
    a user to choose and view any LM plot in any level

17
Overall Look
  • When the display cant hold all the study units
  • Click the button below the magnification button
  • an overview window can show the whole statistical
    curve

18
Different Data Sets
  • A Cancer pull-down menu is provided for users to
    download and view different statistical data sets
  • When a new data set is downloaded from the web
    server, new display layout may be created to view
    the data

19
Others
  • There are many more details

20
A Technical Problem
  • Web-based LM plots need to bring the current
    state (chosen values, settings, etc.) of the
    current plot (page) to the next plot
  • The Internet provides a stateless programming
    environment that can not transfer states from one
    page to another

21
Solutions
  • CGI save the states in the request to the
    web-server
  • ASP/JSP directly save the states at the
    web-server side

However, both of the solutions require to write
and run code at the web-server side, which is
complicated and inefficient
22
Our Solution
  • One Java applet
  • Code embedded in one web page (one html file
    instead of multiple)
  • Display all LM plots (different web pages) in one
    applet panel
  • Allow saving the states at the client side
  • Allow implementing the interaction

23
Data Retrieval
  • All map data and statistical data are saved as
    files on the web-server
  • Applet code directly retrieves the data from the
    web-server and displays the data in a applet
    panel (web-browser)

24
Conclusions
  • This system is a prototype for interactive
    LM-plot information visualization
  • This project is supported by NCI/NIH
About PowerShow.com