Spatially distributed data exhibit particular characteristics that should be considered when
designing a survey of spatial units. Unfortunately, traditional sampling designs generally do …

The main aim of spatial sampling is to collect samples in 1-, 2-or 3-dimensional space. It is
typically used to estimate the total or mean for a parameter in an area, to optimize parameter …

Spatial sampling techniques may be applied to a wide variety of objectives and problems.
Several spatial sampling designs based on point samples may be considered. This chapter …

In spatial sampling, we collect observations in a two-dimensional framework. Careful
attention is paid to the quantity of the samples, dictated by the budget at hand, and the …

Some environmental studies use non-probabilistic sampling designs to draw samples from
spatially distributed populations. Unfortunately, these samples can be difficult to analyse …

Spatially balanced sampling is becoming a popular design for surveys in biological and
environmental management. For large scale surveys, where the region of interest is too …

A new spatial sampling method is proposed in order to achieve a double property of
balancing. The sample is spatially balanced or well spread so as to avoid selecting …

Traditional sample designs for household surveys are contingent upon the availability of a
representative primary sampling frame. This is defined using enumeration units and …

Scientific research often starts with data collection. However, many researchers pay
insufficient attention to this first step in their research. The author, researcher at Wageningen …

Various sampling techniques are widely used in environmental, social and resource
surveys. Spatial sampling techniques are more efficient than conventional sampling when …