: Markus Neteler, Helena Mitasova
: Open Source GIS A GRASS GIS Approach
: Springer-Verlag
: 9780387685748
: 3
: CHF 139.30
:
: Geografie
: English
: 406
: Wasserzeichen
: PC/MAC/eReader/Tablet
: PDF

Thoroughly updated with material related to the GRASS6, the third edition includes new sections on attribute database management and SQL support, vector networks analysis, lidar data processing and new graphical user interfaces. All chapters were updated with numerous practical examples using the first release of a comprehensive, state-of-the-art geospatial data set.

Foreword6
Preface third edition9
Acknowledgments11
Contents13
Open Source software and GIS18
Open Source concept18
GRASS as an Open Source GIS20
The North Carolina sample data set22
How to read this book22
GIS concepts24
General GIS principles24
Geospatial data models24
Organization of GIS data and system functionality28
Map projections and coordinate systems30
Map projection principles30
Common coordinate systems and datums33
Getting started with GRASS37
First steps37
Download and install GRASS37
Database and command structure39
Graphical User Interfaces for GRASS 6: QGIS and gis.m42
Starting GRASS with the North Carolina data set43
GRASS data display and 3D visualization46
Project data management50
Starting GRASS with a new project53
Defining the coordinate system for a new project56
Non-georeferenced xy coordinate system60
Coordinate system transformations60
Coordinate lists61
Projection of raster and vector maps63
Reprojecting with GDAL/OGR tools64
GRASS data models and data exchange68
Raster data69
GRASS 2D and 3D raster data models69
Managing regions, raster map resolution and boundaries71
Import of georeferenced raster data73
Import and geocoding of a scanned historical map81
Raster data export84
Vector data85
GRASS vector data model85
Import of vector data88
Coordinate transformation for xy CAD drawings93
Export of vector data95
Working with raster data98
Viewing and managing raster maps98
Displaying raster data and assigning a color table98
Managing metadata of raster maps101
Raster map queries and profiles103
Raster map statistics105
Zooming and generating subsets from raster maps106
Generating simple raster maps107
Reclassification and rescaling of raster maps109
Recoding of raster map types and value replacements112
Assigning category labels114
Masking and handling of no-data values118
Raster map algebra120
Integer and floating point data122
Basic calculations123
Working with ``if'' conditions124
Handling of NULL values in r.mapcalc125
Creating a MASK with r.mapcalc126
Special graph operators127
Neighborhood operations with relative coordinates128
Raster data transformation and interpolation130
Automated vectorization of discrete raster data130
Generating isolines representing continuous fields133
Resampling and interpolation of raster data134
Overlaying and merging raster maps139
Spatial analysis with raster data141
Neighborhood analysis and cross-category statistics141
Buffering of raster features148
Cost surfaces150
Terrain and watershed analysis155
Landscape structure analysis168
Landscape process modeling170
Hydrologic and groundwater modeling170
Erosion and deposition modeling173
Final note on raster-based modeling and analysis181
Working with voxel data181
Working with vector data184
Map viewing and metadata management184
Displaying vector maps184
Vector map metadata maintenance187
Vector map attribute management and SQL support188
SQL support in GRASS 6189
Sample SQL queries and attribute modifications196
Map reclassification200
Vector map with multiple attribute tables: layers201
Digitizing vector data202
General principles for digitizing topological data202
Interactive digitizing in GRASS204
Vector map queries and statistics207
Map queries207
Raster map statistics based on vector objects209
Point vector map statistics211
Geometry operations211
Topological operations212
Buffering218
Feature extraction and boundary dissolving219
Patching vector maps220
Intersecting and clipping vector maps221
Transforming vector geometry and creating 3D vectors224
Convex hull and triangulation from points226
Find multiple points in same location227
Length of common polygon boundaries229
Vector network analysis231
Network analysis231
Linear reference system (LRS)236
Vector data transformations to raster242
Spatial interpolation and approximation245
Selecting an interpolation method245
Interpolation and approximation with RST250
Tuning the RST parameters: tension and smoothing252
Estimating RST accuracy256
Segmented processing 259
Topographic analysis with RST262
Working with lidar point cloud data264
Volume based interpolation272
Adding third variable: precipitation with elevation273
Volume and volume-temporal interpolation276
Geostatistics and splines27