Sentence examples for clusters of land from inspiring English sources

To select sample points that cover the different land use classes adequately, we first derived clusters of land use based on time series of the moderate-resolution imaging spectro-radiometer (MODIS) normalized difference vegetation index (NDVI) product.

Specifically, we aim to (1) identify clusters of land use preferences by using a novel visualisation tool, (2) test if socio-cultural values of ESs or (3) user characteristics are linked with land use preferences, and (4) determine whether both socio-cultural values of ESs and user characteristics can predict land use preferences.

A swidden cultivation landscape mosaic, for example, is defined as a cluster of land cover mosaics that may be composed of any land cover except permanent agricultural fields or paddy (column C).

Second, to support the inclusion of GI in spatial planning, we identified and located spatial concentrations of individual land covers providing multiple ES GII hubs) and significant clusters of such land covers (GI hotspots).

Third, the resampling of the original land cover data from 30 m to 1 km using a majority filter has the undesirable effect that small clusters of one land cover type that are surrounded by larger areas of other types will simply disappear.

The model analysis demonstrates that the in the former case the level of spatial clustering of conserved land is reduced while in the latter case it is increased.

Clustering of conserved land is important for many species and thus cost feedbacks will eventually affect the survival of species and need to be considered in the design of conservation instruments.

The cluster of ballistic ejecta shown in Fig. 9b would have been the first cluster to land on the summit several seconds after this photograph was taken.

Using cluster analysis, we identified ten areas of land that contained a cluster of ID and areas of average risk for ID.

This study applied a method based on artificial neural networks and fuzzy clustering to recognize digital classes of land surfaces in a mountainous area in north-central Venezuela.

Thus, seven BBX clusters appeared prior to the occurrence of land plants.