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| Open Source software and GIS | |
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| Open Source concept | |
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| GRASS as an Open Source GIS | |
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| The North Carolina sample data set | |
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| How to read this book | |
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| GIS concepts | |
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| General GIS principles | |
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| Geospatial data models | |
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| Organization of GIS data and system functionality | |
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| Map projections and coordinate systems | |
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| Map projection principles | |
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| Common coordinate systems and datums | |
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| Getting started with GRASS | |
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| First steps | |
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| Download and install GRASS | |
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| Database and command structure | |
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| Graphical User Interfaces for GRASS 6: QGIS and gis.m | |
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| Starting GRASS with the North Carolina data set | |
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| GRASS data display and 3D visualization | |
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| Project data management | |
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| Starting GRASS with a new project | |
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| Defining the coordinate system for a new project | |
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| Non-georeferenced xy coordinate system | |
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| Coordinate system transformations | |
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| Coordinate lists | |
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| Projection of raster and vector maps | |
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| Reprojecting with GDAL/OGR tools | |
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| GRASS data models and data exchange | |
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| Raster data | |
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| GRASS 2D and 3D raster data models | |
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| Managing regions, raster map resolution and boundaries | |
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| Import of georeferenced raster data | |
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| Import and geocoding of a scanned historical map | |
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| Raster data export | |
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| Vector data | |
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| GRASS vector data model | |
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| Import of vector data | |
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| Coordinate transformation for xy CAD drawings | |
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| Export of vector data | |
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| Working with raster data | |
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| Viewing and managing raster maps | |
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| Displaying raster data and assigning a color table | |
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| Managing metadata of raster maps | |
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| Raster map queries and profiles | |
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| Raster map statistics | |
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| Zooming and generating subsets from raster maps | |
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| Generating simple raster maps | |
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| Reclassification and rescaling of raster maps | |
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| Recoding of raster map types and value replacements | |
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| Assigning category labels | |
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| Masking and handling of no-data values | |
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| Raster map algebra | |
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| Integer and floating point data | |
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| Basic calculations | |
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| Working with "if" conditions | |
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| Handling of NULL values in r.mapcalc | |
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| Creating a MASK with r.mapcalc | |
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| Special graph operators | |
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| Neighborhood operations with relative coordinates | |
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| Raster data transformation and interpolation | |
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| Automated vectorization of discrete raster data | |
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| Generating isolines representing continuous fields | |
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| Resampling and interpolation of raster data | |
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| Overlaying and merging raster maps | |
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| Spatial analysis with raster data | |
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| Neighborhood analysis and cross-category statistics | |
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| Buffering of raster features | |
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| Cost surfaces | |
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| Terrain and watershed analysis | |
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| Landscape structure analysis | |
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| Landscape process modeling | |
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| Hydrologic and groundwater modeling | |
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| Erosion and deposition modeling | |
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| Final note on raster-based modeling and analysis | |
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| Working with voxel data | |
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| Working with vector data | |
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| Map viewing and metadata management | |
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| Displaying vector maps | |
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| Vector map metadata maintenance | |
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| Vector map attribute management and SQL support | |
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| SQL support in GRASS 6 | |
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| Sample SQL queries and attribute modifications | |
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| Map reclassification | |
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| Vector map with multiple attribute tables: layers | |
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| Digitizing vector data | |
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| General principles for digitizing topological data | |
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| Interactive digitizing in GRASS | |
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| Vector map queries and statistics | |
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| Map queries | |
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| Raster map statistics based on vector objects | |
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| Point vector map statistics | |
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| Geometry operations | |
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| Topological operations | |
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| Buffering | |
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| Feature extraction and boundary dissolving | |
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| Patching vector maps | |
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| Intersecting and clipping vector maps | |
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| Transforming vector geometry and creating 3D vectors | |
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| Convex hull and triangulation from points | |
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| Find multiple points in same location | |
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| Length of common polygon boundaries | |
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| Vector network analysis | |
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| Network analysis | |
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| Linear reference system (LRS) | |
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| Vector data transformations to raster | |
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| Spatial interpolation and approximation | |
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| Selecting an interpolation method | |
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| Interpolation and approximation with RST | |
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| Tuning the RST parameters: tension and smoothing | |
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| Estimating RST accuracy | |
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| Segmented processing | |
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| Topographic analysis with RST | |
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| Working with lidar point cloud data | |
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| Volume based interpolation | |
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| Adding third variable: precipitation with elevation | |
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| Volume and volume-temporal interpolation | |
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| Geostatistics and splines | |
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| Graphical output and visualization | |
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| Two-dimensional display and animation | |
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| Advanced map display in the GRASS monitor | |
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| Creating a 2D shaded elevation map | |
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| Using display tools for analysis | |
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| Monitor output to PNG or PostScript files | |
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| Creating hardcopy maps with ps.map | |
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| Visualization in 3D space with NVIZ | |
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| Viewing surfaces, raster and vector maps | |
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| Querying data and analyzing multiple surfaces | |
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| Creating animations in 3D space | |
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| Visualizing volumes | |
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| Coupling with an external OpenGL viewer Paraview | |
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| Image processing | |
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| Remote sensing basics | |
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| Spectrum and remote sensing | |
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| Import of image channels | |
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| Managing channels and colors | |
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| The feature space and image groups | |
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| Data preprocessing | |
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| Radiometric preprocessing | |
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| Deriving a surface temperature map from thermal channel | |
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| Radiometric transformations and image enhancements | |
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| Image ratios | |
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| Principal Component Transformation | |
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| Geometric feature analysis with matrix filters | |
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| Image fusion | |
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| Introduction to RGB and IHS color model | |
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| Image fusion with the IHS transformation | |
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| Image fusion with Brovey transform | |
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| Thematic classification of satellite data | |
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| Unsupervised radiometric classification | |
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| Supervised radiometric classification | |
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| Supervised SMAP classification | |
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| Multitemporal analysis | |
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| Segmentation and pattern recognition | |
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| Notes on GRASS programming | |
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| GRASS programming environment | |
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| GRASS source code | |
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| Methods of GRASS programming | |
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| Level of integration | |
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| Script programming | |
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| Automated usage of GRASS | |
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| Local mode: GRASS as GIS data processor | |
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| Web based: PyWPS - Python Web Processing Service | |
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| Notes on programming GRASS modules in C | |
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| Using GRASS with other Open Source tools | |
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| Geostatistics with GRASS and gstat | |
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| Spatial data analysis with GRASS and R | |
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| Reading GRASS data into R | |
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| Kriging in R | |
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| Using R in batch mode | |
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| GPS data handling | |
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| WebGIS applications with UMN/MapServer and OpenLayers | |
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| Appendix | |
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| Selected equations used in GRASS modules | |
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| Landscape process modeling | |
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| Definition of SQLite-ODBC connection | |
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| References | |
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| Index | |