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TM 09 DynamicDataPresentation
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Transcript of TM 09 DynamicDataPresentation
Presentation of Dynamic Data
GD3204 Thematic MappingVERSION 01 | DATE 17 MARCH 2014VERSION 01 | DATE 17 MARCH 2014
Undergraduate Program inGeodesy and Geomatics Engineering
D i d tDynamic data
Data that change... With time, space, access, generation, distribution, or
utilization etcutilization, etc. The above mentioned changing parameters may occur
simultaneously, as a pair or combination of three or more.y p
Undergraduate Program inGeodesy and Geomatics Engineering
E l R t l iExample: Route planning
Which parameters are changing?
Undergraduate Program inGeodesy and Geomatics Engineering
Which parameters are changing?
Presentation options
GD3204 Thematic Mapping
Undergraduate Program inGeodesy and Geomatics Engineering
i i lTime series plot
Typical example of data that change with time3.50
Typical example of data that change with time
2.50
3.00
(m)
1.50
2.00
ater
Lev
el (
0.50
1.00
Wa
0.00
0.50
01/01/2014 01/01/2014 02/01/2014 02/01/2014 03/01/2014
Undergraduate Program inGeodesy and Geomatics Engineering
00:00 12:00 00:00 12:00 00:00Date
i i l lTime series plot: Elements X-axisX axis Y-axis
Range of X3.50
Range of Y Intervals Axes titles
2.50
3.00
(m)
Axes titles Grids
1.50
2.00
ater
Lev
el (
0.50
1.00
Wa
0.00
0.50
01/01/2014 01/01/2014 02/01/2014 02/01/2014 03/01/2014
Undergraduate Program inGeodesy and Geomatics Engineering
00:00 12:00 00:00 12:00 00:00Date
f iInformation? High WaterHigh Water Low Water Highest
3.50
Lowest Tidal range2.50
3.00
(m)
1.50
2.00
ater
Lev
el (
0.50
1.00
Wa
Meta data?0.00
0.50
01/01/2014 01/01/2014 02/01/2014 02/01/2014 03/01/2014
Undergraduate Program inGeodesy and Geomatics Engineering
00:00 12:00 00:00 12:00 00:00Date
Available options for data Available options for data presentationProse Tabulation
The predicted level of Highest Astronomical The predicted level of Highest Astronomical Tide (HAT) is 2.26 m above Lowest Astronomical Tide (LAT). The LAT is used here as Chart Datum (CD) Mean Sea Level here as Chart Datum (CD). Mean Sea Level (MSL) is hence 1.14 m above CD.
Undergraduate Program inGeodesy and Geomatics Engineering
B t tiBest options?
Selection of the most appropriate type of data presentation requires understanding of:
The processes involved in generation of phenomena,
Knowledge of the best or common practice, and
h h h d ll b d Insight on how the data will be used.
Undergraduate Program inGeodesy and Geomatics Engineering
Comparison between presentationComparison between presentationCredit: Jane E. Miller, Ph.D. - Rutgers University
( ) ( )Prose (texts) Easy way to explain patterns
Prose (texts) Hard to organize lot of numbers
Tabulation Holds lots of numbers
Tabulation Hard to see patternsHolds lots of numbers
Shows detailsHard to see patterns ...
Plot (chart) Holds lots of numbers Easy to see general patterns
Plot (chart) Difficult to see specific value
Easy to see general patterns
Undergraduate Program inGeodesy and Geomatics Engineering
P f d t t tiPurpose of data presentation
Understanding data
F h l iFurther analysis
U d t di hUnderstanding phenomena
Generating informationGenerating information
Making decisionMaking decision
Undergraduate Program inGeodesy and Geomatics Engineering
C f d t t tiConcerns for data presentation
The target group: different forms of presentation may be needed forThe target group: different forms of presentation may be needed fordifferent audiences (e.g. business or academia, specialists or the general population).
The role of the graphic in the overall presentation: analysing the bigpicture or focusing attention on key points may require different types of visual presentations.p
How and where the message will be presented: a long, detailedanalysis or a quick slideshow.
Contextual issues that may distort understanding: expert or novicedata user.
Whether textual analysis or a data table would be a better solution.
Undergraduate Program inGeodesy and Geomatics Engineering
Accessibility considerations:Accessibility considerations: Provide text alternatives for non-text elements such as charts and images. Don’t rely on colour alone. If you remove the colour, is the presentation still
understandable? Do colour combinations have sufficient contrast? Do the colours work for the colour blind (red/green)?for the colour blind (red/green)?
Ensure that time-sensitive content can be controlled by the user (e.g. pausing of animated graphics).
Consistency across data visualizations: ensure that elements withinConsistency across data visualizations: ensure that elements withinvisualizations are designed consistently and use common conventions wherepossible (e.g. blue to represent water on a map).
Size duration and complexity: Is your presentation easy to understand?Size, duration and complexity: Is your presentation easy to understand?Is it too much for the audience to grasp at a given session?
Possibility of misinterpretation: test your presentation out on colleagues,f d l f f h hfriends or some people from your target group to see if they get theintended messages.
Undergraduate Program inGeodesy and Geomatics Engineering
Case: Oceanographic dataCase: Oceanographic data
Undergraduate Program inGeodesy and Geomatics Engineering
Oceanographicg pdata plots
( )Tide (upper)Current (middle)W (b )Wave (bottom)
Undergraduate Program inGeodesy and Geomatics Engineering
TidTide
Cyclic vertical change of sea surface.
O d il (di l) Occur daily (diurnal) orhalf‐daily (semi‐diurnal).
Tidal parameter: Height f{A } Height = f{A, }
Undergraduate Program inGeodesy and Geomatics Engineering
C tCurrent
Movement of mass of water.
P i bj i h Passive objects in the water column will be drifted l ith th talong with the current.
Current parameters:Current parameters: Magnitude DirectionDirection
Undergraduate Program inGeodesy and Geomatics Engineering
WWave
Propagation of energy through sea surface.
Obj fObject on sea surfaceis not substatially drifted i l t l di tiin lateral direction.
Wave parameters:Wave parameters: Height PeriodPeriod Direction Celerity
Undergraduate Program inGeodesy and Geomatics Engineering
Types of ‘concluding’ plots
GD3204 Thematic Mapping
Undergraduate Program inGeodesy and Geomatics Engineering
OOccurence
Deviation between predictedand observed tide.
Explain!1.00
0.90
0.80
babi
lity
0.70
0.60
0.50
Prob
0.40
0.30
0 20
D i ti0.140.120.10.080.060.040.020
0.20
0.10
0.00
Undergraduate Program inGeodesy and Geomatics Engineering
Deviation
E dExceedance
The inverse of occurence,i.e. (1–P), with P b bili f
0.01
P=probability of occurence.
0.051-PExplain!
0.1
0.25
0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4
0.5
0.750.9
Wave Height (m)
Undergraduate Program inGeodesy and Geomatics Engineering
Wave Height (m)
RRose
N
Shows portion of data at given range of magnitudel i
NW NE
60%80%
along a compass section.
W E
20%40%
60%Wave Height (m)
> 1.20
0 90 - 1 20Explain!
0.90 1.20
0.60 - 0.90
0.30 - 0.60
0 00 0 30
SE
S
SW
0.00 - 0.30
Undergraduate Program inGeodesy and Geomatics Engineering
S
JPT f l tJPT for rose plot
JPT = Joint Probability Table
R l t i d l d NW
N
NERose plot is developed according to JPT.
NW NE
20%40%
60%80%
Wave Height (m)> 1 20
W E> 1.20
0.90 - 1.20
0.60 - 0.90
0.30 - 0.60
SESW
0.30 0.60
0.00 - 0.30
Undergraduate Program inGeodesy and Geomatics Engineering
S
Mapping of oceanographic data
GD3204 Thematic Mapping
Undergraduate Program inGeodesy and Geomatics Engineering