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1 What is Representativeness, and why are we confused? Revital Katznelson State Water Resources Control Board NWQMC 2006 San Jose, CA

What is Representativeness, and why are we confused?

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What is Representativeness, and why are we confused?. Revital Katznelson State Water Resources Control Board NWQMC 2006 San Jose, CA. Why am I talking about it?. Speaker’s biosketch. Grew up in Hebrew. Teenager in CA in English. University days in Scientese. (Tri-Lingual and happy). - PowerPoint PPT Presentation

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Page 1: What is Representativeness,  and why are we confused?

1

What is Representativeness, and why are we confused?

Revital KatznelsonState Water Resources Control Board

NWQMC 2006 San Jose, CA

Page 2: What is Representativeness,  and why are we confused?

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Why am I talking about it? Speaker’s biosketch

Grew up in Hebrew

Teenager in CA in English

University days in Scientese

…..hard time with Agentese!

(Tri-Lingual and happy)

Page 3: What is Representativeness,  and why are we confused?

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Today’s objectives:

• Make some distinctions• Suggest words to communicate• Try to do some confusion abatement

Why am I talking about it?

Page 4: What is Representativeness,  and why are we confused?

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Googled it 4/20/06

The hypothesis that people evaluate probabilities by representativeness …

by intuitive statistical heuristic.. similar effect of the gambler's fallacy…The question of the representativeness of the organizations is fundamental

…to hold a Representative town meetingRepresentativeness refers to judgments based on stereotypesThe legal concept of union representativeness implies a process of selection…Behavioral finance, representativeness bias, overreaction, earnings announcements

And finally…

..sites that have a 'typical' species composition for the considered ecosystem

Found 2,410,000 hits

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Different meanings

Environmental Monitoring

GamblingPolitics

Meeting Delegates

Finance

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Focus: Environmental

Environmental Monitoring

Many Grabs

One Grab

Statistical meaningnon-representative ‘sample’= statistically biased

Sample propertiesDifferent meanings for ‘Representative sample’

Confusion Item # 1:One sample or many?

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Environmental Monitoring

Many Grabs

One Grab

The EnvironmentRepresentative sample and what it representsin the environment

[next 7 slides]

‘Analytical Quality’:Sample integrity Lack of contamination Lack of deterioration Sample homogeneityUniformity of aliquots

Confusion Item # 2:How the sample represents itself, versus the environment

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‘The Environment’: an example

Alameda Creek, April 2006

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What the sample represents in the environment in the context of inherent environmental variability [next slide and later]

The EnvironmentRepresentative sample and what it representsin the environment

Confusion Item # 3:A representative sample versus what it represents

How the sample is collected – e.g., bottle dipped in the centroid of the flow rather than at the edge, so it is representative of the bulk of the flow

Centroid

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Temporal Variability

What time of day is more representative?Or - does each time represent something else? What is YOUR intent?

What the sample represents in the environment in the context of inherent environmental variability

Dissolved Oxygen and pH in the Russian River, 8/3/00 to 8/6/00

2

4

6

8

10

12

14

Time (days from deployment)

Dis

so

lve

d O

xy

ge

n (

DO

) (m

g/l

)

7

7.5

8

8.5

9

9.5

pH

DO pH

1 2 3 4

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Non -DeliberateDeliberate

Spatial and Temporal Sampling Design Principles

Probabilistic(probability-based)

Deterministic (knowledge-based)

SystematicDirected a.k.a Targeted,Judgmental

Random (stratified)

Anecdotal

Whenever/Wherever

Constrained

Responsive

How will you select monitoring location and timing? In other words, which sampling design principle will you apply?

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Spatial descriptors Station Type : Creek, Outfall, Ditch

Station Selection Intent: Impact assessment, Source ID

Reach Selection Design: Systematic, Directed, Random, or Non-Deliberate (Anecdotal)

Station Selection Design: (same options)

Temporal descriptors Flow Conditions: Storm runoff flows (wet) or base flow (dry) weather

Sample Timing Intent: Worst case, Snapshot, Routine Monitoring

Seasonal Sampling Design: Systematic, Directed, Random, etc.

Diurnal Sampling Design: (same options)

Season of interest: Summer, Fall

Useful Words

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- Training tool to teach the basic concepts of variability;

- Planning tool to hone in on the intent and the design of the study;

- Dialogue tool to solicit feedback from experts;

- Instruction tool to guide Project operators; and

- Communication tool to inform data users what each result represents in the environment.

Applications of these words

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I am the worst case scenario I have been collected

in a stagnant ditch at 14:00

DO=5.6 pH=8.7

Let Monitoring Results Speak for Themselves!

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Enhancing Representativeness

CompositeCollect Many

Confusion Item # 4:How composited? Integrated collection versus pooled grabs

Back to Representativeness…

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Bonus Confusion Item!

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Wildcat Creek Walk 6/22/03 10:45 - 12:00The Monitoring Team walked upstream, and stopped at the different

habitats to take measurements

4

6

8

10

12

14

16

18

20

0 10 20 30 40 50 60 70Distance from Origin (m)

Tem

pera

ture

& D

issolv

ed

Oxygen

8.2

8.4

8.6

8.8

9

9.2

pH

Temp ( C)

DO (mg/l)

pH

Run Riffle Pool Step Pool Riffle Pool

Spatial VariabilityWhat the sample represents in the environment in the context of inherent environmental variability

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Value

e.g., Distance, or Time

Inherent Variability(Field Variability)

Value

Sequence of Repeated Measurements(of same thing)

Measurement Precision Error(Lab Variability)

= Environment

= One Grab Sample

= Error Range, e.g., Lab Control Chart

= Repeated Measurement (Rep, Dup)

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Do…. Collect as many individual samples as you can, and analyze separately!Collect paired samples often(at the same time and place), andcalculate measurement precision.You will know both:

+ the measurement error

+ and the inherent variability

Value

e.g., Distance, or Time

Do…(w field measurement or Sample) Or…(w Sample only, if less $$)

Value

e.g., Distance, or Time

But Please Don’t Lump Inherent Variability with Measurement Error

If your individual samples are used as repeated measurementsto calculate measurement precision,you will NOT know either:

-- the measurement error

-- Or the inherent variability

Value

e.g., Distance, or Time

Composite

Or…. Create a composite sampleand analyze it (preferably in two lab reps).Calculate or apply lab measurement precision.You will know:

+ the measurement error

-- But not the inherent variability

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Environmental Monitoring Collection Protocol:

How a Sample representsThe bulk of flow

Gambling

Politics

Meeting Delegates

Finance

‘Non-Env.:‘Environmental’: What a Sample or a MeasurementRepresents (Intent, Design, Conditions,Station type)

Statistical:How multiple Samples represent average conditions

Measurement Error:Accuracy&Precision of the Measurement System

Inherent Variability:How values change over space and time

‘Analytical’:Sample Integrity, Homogeneity,Uniform aliquots

(Not about this)

Summary

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Knew it already? I hope it was good to meet a kin spirit.

Learned something useful? Welcome!

Feel like I have just opened…

Thanks for Listening! You…

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A can of worms? My apologies…

But there is help!

SWAMP Field Modules, (check out Common Element C)http://unexdlc.ucdavis.edu/cfmx/DLC/demos/swampFT/index.html

Clean Water Team Guidance(check out DQM-IP-8.2.4)http://www.waterboards.ca.gov/nps/cwtguidance.html

My [email protected]