WHAT IS VISUALIZATION? More than GIS… …MORE THAN YOU THINK.
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Transcript of WHAT IS VISUALIZATION? More than GIS… …MORE THAN YOU THINK.
WORKSHOP B5DATA VISUALIZATION TECHNIQUES
WHAT IS VISUALIZATION?
More than GIS… …MORE THAN YOU
THINK.
EXAMPLES
WHY VISUALIZE
Get it “at-a-glance” Normalizes /
Focuses Translates Enhances Quality Accelerate Learning “Discovery” Scenarios of Future “Enjoy Your Data”
WHERE DOES IT FIT?
• BUSINESS CASE
• DATA STRATEGY
• SAMPLING FRAME
• RECRUITMENT
•DATA COLLECTION
• DATA QUALITY
• DATA ANALYSIS
• DISSEMINATION & PRESERVATION
BUSINESS CASE- Who’s the audience
- What’s the problem
- What’s been done
- ETHICS
- NORMALIZATION
- HARMONISATION
• BUSINESS CASE
• DATA STRATEGY
• SAMPLING FRAME
• RECRUITMENT
•DATA COLLECTION
• DATA QUALITY
• DATA ANALYSIS
• DISSEMINATION & PRESERVATION
• BUSINESS CASE
• DATA STRATEGY
• SAMPLING FRAME
• RECRUITMENT
•DATA COLLECTION
• DATA QUALITY
• DATA ANALYSIS
• DISSEMINATION & PRESERVATION
RECRUITMENT- Show how they fit in
survey
- Increase Response Rates
- INTRODUCE BIAS
- GUIDELINES
-Participant Training
• BUSINESS CASE
• DATA STRATEGY
• SAMPLING FRAME
• RECRUITMENT
•DATA COLLECTION
• DATA QUALITY
• DATA ANALYSIS
• DISSEMINATION & PRESERVATION
DATA QUALITY- Real Time
- Post Processing
- Cleaning
- Inference
- Imputation
- Understanding Quality
- Transparency
WATCH OUT FOR:
Time Consumption Ethics / Misrepresentation Visual Overload Introduction of “bias” Privacy Superficiality
(dazzle vs. inform)
RESEARCH NEEDS “Stable” Funding For:
Reliable Base-Data Resources Operating budget for “maintenance &
preservation” How Visualization can Improve “Response
Rates” Engaging “Hard-to-Reach” groups
Identifying & Quantifying Value-added by using visualization New Risks (i.e. biases)
Privacy Thresholds Impacts of visualizing
RESEARCH NEEDS Framing
In context of traditional surveys In Stated Preference & Other Surveys
Developing Templates (tools) & Guidelines Harmonized, High-Quality Data Bases
Education & Training Computer Science MEETS Transportation SYNTHESIS (what’s out there) Teach the Possibilities Define the skills needed to develop/utilize
Visualization
BUSINESS CASE
- Who’s the audience- What’s the problem- What’s been done
- ETHICS- NORMALIZATION- HARMONIZATION
DATA STRATEGY- Graphic Literature Review
- What we know / Don’t know- Knowledge Accelerometer
- THOROUGHNESS- VISUAL OVERLOAD- APPROPRIATENESS
- GUIDELINES
DATA COLLECTION- Monitoring Progress- - Monitoring Quality
- Monitoring Process & Workforce- Reduce Respondent Burden
- INTRODUCE BIAS- IMPROVE QUALITY
- IMPROVE CATI PROCESS
EST. SAMPLING FRAME
- Review “official’ data- Ensure geospatial compatibility- Encourage “mix-mode” surveys- FUNDING to get spatial data
up-to-date- DEVELOP VIS. TEMPLATES
RECRUITMENT- Show how they fit in survey- Increase Response
Rates- INTRODUCE BIAS
- GUIDELINES- Participant Training
DATA QUALITY- Real Time
- Post Processing- Cleaning- Inference
- Imputation- Understanding Quality
- Transparency
DATA ANALYSIS- Extract Patterns
- Data Fusion- Identify Relationships
- Does not compensate for “POOR ANALYSIS”
- POSSIBILITIES FOR INNOVATION- MISREPRESENTATION- FUNDING FOR TEMPLATES
DISSEMINATION & PRESERVATION
- Sustainability- “Get To The Knowledge”
- PRIVACY (Show / Keep)- TOOLS & GUIDELINES