Spatial sampling is very used in environmental survey but can also be interesting for business or population surveys. We refer to spatial surveys when a distance is defined between the statistical units. This distance can be based on geographical coordinates but can also be defined on auxiliary variables available from a business or population register. In general, two neighboring units are similar. It is then interesting to spread the sample in the space of the units in order to make the design more efficient. New spatial methods with equal and unequal inclusion probabilities will be presented: the GRTS, the local pivotal method and the local cube method will be covered. Some examples will be presented using the R package Balanced Sampling developed by Anton Grafström.