Sentence examples for raster layers and from inspiring English sources

Distributional data are converted to raster layers, and by random sampling from areas of known presence (training and intrinsic test data) and areas of 'pseudoabsence' (areas lacking known presences), two data sets are created, each of 1250 points; these data sets are used for rule generation and model testing, respectively [21], [22].

Distributional data are converted to binary raster layers, and by random resampling from training and intrinsic test data and areas of 'pseudoabsence' (areas lacking known presences), two data sets are created, each of 1250 points; these data sets are used for rule generation and model testing, respectively [50], [51].

We converted the vector layer to a 30-m raster layer and used the Euclidean Distance tool in ArcGIS® 10.3.1 to calculate distance (m) from every 30-m pixel to the nearest patch of each habitat type.

Grasslands with low, moderate and high livestock densities were extracted from the land use raster layer and one centroid was created for each raster cell.

We compared the different raster layers directly, and through comparison of averages within the vector datasets.

The default display contains several base raster layers for terrain and satellite data, which are fetched from public domain servers at runtime.

The integral of the exponential function was used to calculate the soil carbon storage and raster layers were developed for each of the parameters in the integral to map soil carbon storage to 1 m.

Vector and raster layers for all variables were created by ArcGIS version 9.2 (ESRI, USA).

Spatial data of criteria datasets were classified into five classes highly satisfied (S1), medium high satisfied (S2), moderately satisfied (S3), marginally satisfied (S4), and unsatisfied (S5)—and converted into integer raster layers based on Table 2.

We used census data, remote sensing data, and air pollution monitoring stations to generate raster layers at five grain sizes and five nested extents.

To generate a final map of predicted occurrence, we combined encamped and traveling raster layers using Spatial AnalystLocalCombine, which provided an output raster in which a unique output value was assigned to each unique combination of input values.