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This is a major upgrade to Python 3.7 and above. Combine the three component multipliers (Ms, Mh and Mt) into a single band, repeated for each wind direction (E, N, NE, NW, S, SE, SW, W). Each band is then stored in a single geotiff file for each tile. mpi_runner.py creates a Virtual Raster Table (VRT) that allows a virtual GDAL dataset to be composed from other datasets. Created dataset dimensions are set by the input dataset dimensions, not fixed Handles the case of an empty input file, but not in an ideal way (replace missing file with values of 1) PyPar replaced by mpi4py TCRM-108: Fixed crash due to fraction indices. TCRM-108: Python version change to 3.7 TCRM-108: Adding test terrain_table data. Update for PEP8 conformance test
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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