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1 .5 Export 67 4.2 Vector data 68 4.2.1 GRASS vector data model 68 4.2.2 Import of vector data 70 4.2.3 Export of vector data 78 4.3 Sites data 80 4.3.1 GRASS sites data model 80 4.3.2 Import of sites data 81 4.3.3 Export of sites data 83 5.WORKING WITH RASTER DATA 85 5.1 Viewing and managing raster map layers 85 5.1.1 Displaying raster data and assigning a color table 85 5.1.2 Raster map queries and profiles 87 5.1.3 Zooming and generating subsets from raster maps 88 5.1.4 Managing metadata of raster maps 90 5.1.5 Reclassification of raster maps 91 5.1.6 Assigning category labels 93 5.1.7 Masking and handling of no-data values 97 5.2 Raster map algebra 99 5.3 Raster data transformation and interpolation 105 5.3.1 Automated vectorization of discrete raster data 105 5.3.2 Generating isolines representing continuous fields 107 5.3.3 Raster data transformation to sites 108 5.3.4 Interpolation of raster data and resampling 108 5.3.5 Recoding of raster map types and value replacements 110 5.4 Spatial analysis with raster data 111 5.4.1 Map statistics and neighborhood analysis 111 5.4.2 Overlaying and merging raster maps 115 Contents IX 5.4.3 Buffering of raster features 118 5.4.4 Cost surfaces 120 5.4.5 DEM and watershed analysis 123 5.4.6 Landscape structure analysis and modeling 129 6.Goran, USA CERL GRASS GIS software was developed in response to the need for improved analysis of landscape “trade offs” in managing government lands and the emerging potential of computer-based land analysis tools.During the last decades of the 20th century, government land managers in the U. (and across the world) faced increasing requirements from legislation and stake- holder groups to examine and evaluate alternative actions.4 Insolation 378 C UMN/Map Server sample configuration 383 C.

The needs we addressed drove the design criteria for GRASS.OPEN SOURCE SOETWARE AND CIS 1 1.1 Open Source concept 1 1.2 GRASS as an Open Source GIS 3 1 .3 How to read this book 4 2.