Course details
Course general details
Sampling in space and time for survey and monitoring of natural resources
S289E
Course contents
May 2, 2013
May 8, 2013
Designing an effective and efficient sampling scheme is an important first step in a research project: it largely determines the quality of the final result. Also, problems with statistical inference can often be avoided when we start thinking before the data are collected. This post-graduate course aims at presenting an overview of sampling methods for spatial inventory (survey) and monitoring of natural resources such as soil, groundwater, surface waters, forests, habitats, landuse/landcover et cetera.
Both random sampling strategies and model-based (geostatistical) sampling strategies will be explained, and rules for choosing between alternative strategies will be given. The third day we will go into the problem of sampling in space and time, so that changes over time of, for instance, quality-indicators for soil or surface water, or the spatial extent of habitats can be estimated from the sample data.

The course is a mix of theory and practice, with case studies that are analysed using the free R software. Course material: parts of J.J. de Gruijter, D.J. Brus, M. Bierkens & M. Knotters (2006), Sampling for Natural Resource Monitoring (Springer).
Beginner
1.00

Day 1: Sampling in space: design-based sampling strategies for estimating means and totals


9.00-9.15 Welcome


9.15-9.45 Overview of course


9.45-10.30 Simple random sampling: Estimation of mean, proportion and total and their standard errors. The principle of the Horvitz-Thompson estimator. Confidence interval estimates. How to determine the required sample size?


Composite sampling


10.30-11.00 Break


11.00-12.15 Stratified simple random sampling: Stratification variables. Proportional and optimal allocation of sampling points.
Stratification effect


12.15-13.15 Lunch


13.15-15.00 Geographical stratification


15.00-15.30 Break


15.30-17.15 Systematic random sampling: how to estimate the sampling variance?


Day 2: Sampling in space: model-assisted sampling strategies for estimating means and totals


9.00-10.30 Two-stage random sampling: how to select primary sampling units? How to estimate the sampling variance?
Relative efficiency. Discussion of other sampling design types brought up by the participants


10.30-11.00 Break


11.00-12.15 Probability sampling in practice: pitfalls


12.15-13.15 Lunch


13.15-15.00 Increasing precision by exploiting covariates: the regression estimator


15.00-15.30 Break


15.30-17.15 Two-phase sampling for stratification and regression


Day 3: Sampling in space: model-based sampling strategies for mapping


9.00-10.30 Sampling on regular grids: optimization of grid spacing


10.30-11.00 Break


11.00-12.15 Spatial coverage sampling


12.15-13.15 Lunch


13.15-15.00 Latin Hypercube Sampling


15.00-15.30 Break


15.30-17.15 Model-based sampling: optimization of sampling pattern for ordinary kriging and universal kriging


Day 4: Sampling in space and time for monitoring


9.00-10.30 Design-based versus model-based sampling strategies: fundamental differences; how to choose?


10.30-11.00 Break


11.00-12.15 Design-based, model-based and hybrid sampling approaches . Basic types of space-time design: static-synchronous,
independent synchronous, serially alternating, rotational panel, supplemented panel


12.15-13.15 Lunch


13.15-15.00 Sampling strategies for estimating the change of the mean
Estimating the change of the mean from static-synchronous space-time designs and from space-time designs with partial overlap


15.00-15.30 Break


15.30-1715 Sampling strategies for regional trend monitoring: the hybrid approach


Design-based estimation of the trend of the mean


Day 5: Sampling in space and time for monitoring


9.00-10.30 Sampling strategies for regional trend monitoring: the hybrid approach


Hybrid prediction of the trend of the mean


10.30-11.00 Break


11.00-12.15 Sampling strategies for regional trend monitoring: the pure model-based approach


12.15-13.15 Lunch


13.15-15.00 Sampling strategies for estimating space-time means and totals: the pure design-based approach


15.00-15.30 Break


15.30-1715 Wrapping up and discussion of sampling problems brought up by the participants

Course conditions
Apr 26, 2013
Parts of J.J. de Gruijter, D.J. Brus, M. Bierkens & M. Knotters (2006), Sampling for Natural Resource Monitoring (Springer).
Wageningen University, the Netherlands

Dick Brus (Team Soil Geography, Wageningen-UR)

Others

COURSE FEE
PhDs PE&RC*/SENSE with TSP: € 275.-
Other PhD's and WU staff: € 550.-
Other participants: € 1.000.-
Course fee includes a reader, coffee/tea and lunches
* For PE&RC PhD candidates, the reduced fee only applies if the thesis is defended at Wageningen University.


REGISTRATION
Please download the registration form and send it to
pe-office@wur.nl.
Full registration only occurs once you have provided us with the requested information. Accordingly you will receive an official registration confirmation by one of the course organizers.


INFORMATION
For further information please contact:
Dr. C. Van de Vijver
Tel: + 31 (0)317-485116
Email: External link iconClaudius.vandeVijver@wur.nl


COURSE WEBSITE FOR UPDATED INFORMATION
http://www.pe-rc.nl/database/Courses%20and%20Activities/PE-RC%20postgraduate%20courses/Sampling%20in%20space%20and%20time.htm

Mar 6, 2013
Registration Closed