The particular characteristics of geographically distributed data should be taken into account in designing a land use/land cover survey. This paper discusses several methods for sampling spatial units that have been recently introduced in literature. The methodological framework followed is of design-based typology. The techniques outlined are: the GRTS, the Cube, the SPCS, and the LPMs. These methods will be verified on data deriving from LUCAS 2012.
Spatially balanced samples for land use/land cover surveys
BENEDETTI, ROBERTO;PIERSIMONI, FEDERICA;POSTIGLIONE, PAOLO
2014-01-01
Abstract
The particular characteristics of geographically distributed data should be taken into account in designing a land use/land cover survey. This paper discusses several methods for sampling spatial units that have been recently introduced in literature. The methodological framework followed is of design-based typology. The techniques outlined are: the GRTS, the Cube, the SPCS, and the LPMs. These methods will be verified on data deriving from LUCAS 2012.File in questo prodotto:
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