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Wind-tunnel test data were utilized to develop empirical models for peak, and mean wind speed-up based on spatially weighted parameters derived from a Digital Elevation Model raster grid of terrain and relevant categorical landform variables.
To calculate range size of each clade, we converted the model raster files into polygons in ArcGIS 9.3 and recorded polygon area in square kilometers.
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For the initial setup of the "AschFlow" model, three raster maps are required: i) The first raster map defines the topography of the terrain in a DEM form.
The GIS model and raster database provide a simple and low cost estimation of the BVOC isoprene in Hong Kong at detailed level.
Wind-tunnel test data were utilized to develop empirical models for peak, and mean wind speed-up based on spatially weighted parameters derived from a Digital Elevation Model (DEM) raster grid of terrain and relevant categorical landform variables.
Specifically, in GARP, we retained only the 20% of models that showed lowest omission errors, and then retained only the central 50% of the frequency distribution of proportional area predicted present (an index of commission error); the result was 10 'best subsets' models (binary raster data layers) that were summed to produce a best ensemble estimate of geographic projection.
All information for the procedure was modeled in raster format, with extension and pixel sizes compatible with each other (10 m).
Specifically, in DesktopGARP, I used a "soft" omission threshold of 20%, and 50% retention based on commission considerations; the result was 10 'best subsets' models (binary raster data layers) that were summed to produce a best estimate of geographic prediction.
LiDAR vegetation measures can be represented using two different data models, the echo-based and the CHM raster model.
Two major components are included in RA: particle-based rockfall process modeling and geostatistics-based rockfall raster modeling.
Power-law models using rasters of top-of-the-canopy height were compared with models using tree-level information extracted from the ALS dataset.
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Justyna Jupowicz-Kozak
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