Sentence examples for spatial predictors from inspiring English sources

As spatial predictors 88 plot-aggregated LiDAR metrics (LiDAR metrics ) were used.

Spatial predictors were from rasters describing climate and topography and a time-series of Landsat imagery.

Regression modeling is used to establish relationships between a response variable and a set of spatial predictors.

Findings indicate that identifying spatial predictors of WIPs depends on site-specific factors and the ecological scale of the predictor.

Footprint analysis using the spatial predictors from remote sensing and topography can give confidence that sample locations represent broader area site conditions.

Similar to the first modelling scenario, we applied the machine learning algorithm Cubist [55, 56] and used the same satellite imagery (Sat layers ) as spatial predictors (Table 1).

We used nine remote sensing imagery layers as spatial predictor variables.

Preparation of spatial predictor variables was conducted using the R raster package v.2.3-41 v.2.3-41 et al. 2015) and ArcGIS v. 10.1 (ESRI 2012).

Due to the smaller footprints at the other sites, forest-inventory mapping varied little within the site; however, at all sites the other spatial predictor variables showed finer scale variation.

For these, we obtained the spatial predictor data layer and manipulated the map as necessary (using mean/mode aggregation and/or nearest neighborhood resampling) to ensure cell alignment among maps.

However, relatively low-cost spatial predictor variables, including elevation, deviation from mean elevation, apparent electrical conductivity, and mean relative difference of interpolated cosmic ray neutron probe surveys, were not consistent predictors of NP mean relative difference.