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Transforming a sample design for taking into account new statistical needs, new information or new technological instruments for data collection

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Title: Transforming a sample design for taking into account new statistical needs, new information or new technological instruments for data collection


1
Transforming a sample design for taking into
account new statistical needs, new information or
new technological instruments for data collection
Elisabetta Carfagna Professor, University of
Bologna, Italy elisabetta.carfagna_at_unibo.it
2
Background and justification
  • Various agricultural statistical systems
  • New statistical needs
  • New low cost technological instruments for data
    collection
  • GPS
  • PDAs
  • New information is available (e.g. a land cover
    map produced for controlling subsidies)

3
Alternative strategies
  • First strategy the sample design adopted in the
    previous years is preserved
  • Second strategy the sample design is conceived
    ex novo
  • Third strategy small changes are applied to the
    sample design

4
Italy, Agrit projectfrom early 90s to 2000
  • From early 90s to 2000
  • Stratified random sampling of about 5,000
    segments with physical boundaries
  • Stratification land cover map from
    photo-interpretation of Landsat TM images

5
POPOLUS
  • Availability of POPOLUS
  • grid of points 500 meters apart
  • photo-interpreted according to land cover legend
  • geometrically corrected photos, scale 110,000
  • POPOLUS first phase sample (used for
    stratification)

6
Agrit project from 2002
  • From 2002
  • Two phase stratified random sampling of 84,000
    un-clustered points
  • CVs less than 5 for main crops at national level

7
Agrit new technological instruments
  • From 2009 Ultra Mobile Personal Computer (UMPC) -
    PDA with GPS and GPRS/UMTS and Wi-Fi connection
  • Data collected immediately sent to the central
    acquisition unit
  • Change of quality control

8
Refresh project for control of declaration
  • Availability of new information
  • Refresh project for control of declaration of
    farmers (2009-2010)
  • Photo-interpretation for the whole Italian
    territory of
  • geometrically corrected aerial photos
  • very high resolution satellite images with
    spatial resolution 0,5 m
  • POPOLUS update

9
New information needs
  • Baseline indicators for agro-environmental policy
    and rural development policy (EU)
  • Agro-environmental parameters
  • Farmland of high naturalistic value
  • Risk of erosion

10
Observation on small circle around the point
  • Observations on small circle around the point
  • Irrigation
  • Grass or bare soil (for permanent crops)

11
Observations on square segments
  • Observations on square segments
  • Irrigation, presence and kind
  • Erosion, presence and level
  • Bushes
  • Small wood lots
  • Isolated trees etc.

12
Pilot project
  • Pilot project for
  • Detecting the problems of the ground survey
  • Evaluating the variance of the variables
  • Computing sample size
  • Identifying the optimum segment size

13
First strategy-preserving the sample design
  • Advantages of preserving the sample design
  • Perfect comparability over time
  • Change detection
  • Experience of the project managers and of the
    enumerators
  • The reliability of the data collection procedures
    has already been assessed

14
First strategy-preserving the sample design
  • Disadvantages of preserving the sample design
  • New information (e.g. land cover map) cannot be
    used at the design level
  • Only some new parameters can be estimated
  • Cannot take complete advantage from the
    characteristics of new technological instruments

15
Second strategy-sample design conceived ex novo
  • Advantages of conceiving the sample design ex
    novo
  • New statistical needs satisfied
  • New available information used at the design
    level
  • Maximum advantage from new technological
    instruments for data collection

16
Second strategy-sample design conceived ex novo
  • Disadvantages of conceiving the sample design ex
    novo
  • Not complete comparability
  • Difficult change detection
  • Project managers and the enumerators have to
    adapt to new procedures
  • Reliability of the data collection procedures has
    to be assessed
  • Cost

17
Third strategy-small changes
  • Advantages of small changes
  • New statistical needs partially taken into
    account
  • Comparability over time
  • Experience of the project managers and of the
    enumerators
  • Reliability of the data collection procedures

18
Third strategy-small changes
  • Disadvantages of small changes
  • New information (e.g. land cover map) cannot be
    used at the design level
  • Few new parameters can be estimated
  • Partial advantage from new technological
    instruments for data collection

19
Thank you for your attention elisabetta.carfagna_at_
unibo.it
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