Sound sampling design is essential for the collection of data to support reliable scientific inference and decision making for management and policy. What counts as a sound design depends on the problem of interest, and the nature of the statistical inference that is required. Two broad aims can be distinguished, estimating the overall mean or total of a population, e.g. the total soil carbon stock in an area, and mapping. Estimating the means or totals of several subpopulations (subareas) is in between these two extremes. This course presents an overview of spatial sampling strategies for the full spectrum of aims. For estimating (sub)population means or totals probability sampling and design-based or model-assisted estimation is most appropriate, whereas for mapping probability sampling is not required, and there is scope to optimize the locations of the sampling points with a statistical model of the spatial variation.
In this course you will learn how to choose a sampling design that is most appropriate for the aim of your project. Theoretical concepts from classical sampling and geostatistics will be explained with a strong emphasis on practical application. In the course you will be provided with scripts for the free R platform, which will allow you to use the methods that are described to solve your sampling problems.
This course is set in hotel "De Bosrand" in Ede. The course fee includes accomodation and catering. Participants have their own room and all COVID-19 measures will be strickly adhered to.
Day 1 (afternoon): Overview of spatial sampling strategies; Probability sampling for estimating population means
Day 2: More advanced probability sampling designs and model-assisted estimation of population means
Day 3 Sampling for mapping
Day 4 Model-based sampling for mapping; Sampling for map validation
Target Group | The course is aimed at PhD candidates and other academics |
Group Size | Min. 16, max. 20 participants |
Course duration | 3 days (2 half day, 2 full days, 3 nights) |
Language of instruction | English |
Frequency of recurrence | Once every two years |
Number of credits | 0.9 ECTS |
Lecturers | Dr. Dick Brus (Biometris - Mathematical and Statistical Methods, Wageningen UR) |
Prior knowledge | Basic knowledge of R is assumed |
Location | Hotel "De Bosrand" - Ede (The Netherlands) |
Accommodation | Accommodation is included in the fee of the course. |
EARLY BIRD FEE 1,2 | REGULAR FEE1 | |
PE&RC / WIMEK / WASS / EPS / VLAG / WIAS PhDs with TSP | € 255,- | € 305,- |
a) All other PhD candidates b) Postdocs and staff of the above-mentioned Graduate Schools |
€ 590,- | € 640,- |
All others | € 845,- | € 895,- |
1 The course fee includes accomodation, catering and a reader.
2 The Early-Bird Fee applies to anyone who REGISTERS ON OR BEFORE 26 JULY 2021
Note:
Note: If you would like to cancel your registration, ALWAYS inform us (and do note that you will be kept to the cancellation conditions)
Dr. Dick Brus
Phone: +31 (0) 317 486520
Email: dick.brus@wur.nl
Dr. Sabine Vreeburg (PE&RC)
Phone: +31 (0) 317 485853
Email: sabine.vreeburg@wur.nl
To register, please enter your details below and click "Register".