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![]() If you plan to work with Oracle database on a daily basis, you can define the environment variable ORACLE_HOME within your environment permanently:Įcho "export ORACLE_HOME=/path/to/oracle-installation" > ~/.bashrc with-gdal=/usr/local/bin/gdal-config \Įverything is compiled now, but you still need to define the path where your Oracle database is installed, by defining the related environment variable ORACLE_HOME:Įxport ORACLE_HOME=/path/to/oracle-installation Tar xvfz grass-6.1.cvs_src_snapshot_.tar.gz Make sure to download the full client library, because also some header files are needed for compiling.ĭownloading and building GDAL/OGR with Oracle support is quite straightforward (you may want to select this or a later version): When building GDAL/OGR, you need to define the path to the full Oracle client library, which is available with a standard Oracle installation. Oracle Call Interface (OCI), which, by default, is not compiled in OGR. To access and write data sets stored in Oracle Database from within GRASS, you need to build OGR using the ![]() Several geospatial applications, such as Google Earth, also use this library for their data handling. GRASS uses GDAL/OGR as an import/export back end for maximum interoperability. ![]() GDAL/OGR is a translator library that handles most raster and vector formats used for geospatial data. Prebuilt binaries can be used for PROJ, but GDAL/OGR need to be compiled from sources to include Oracle support. Geospatial Data Abstraction Library (GDAL)/OGR Simple Features Library need to be downloaded and installed separately. Most are standard for various Linux distributions, so usually only theĬartographic Projections Library (PROJ) and Install GRASS with Oracle SupportĬompiling GRASS from its sources requires installation of several supporting libraries. More sophisticated applications benefit greatly from the ability to connect GRASS projects to an external centralized database such as an Oracle database. GRASS stores the geometric and attribute data in its own database, which is adequate for average GIS users. The binaries and the source code can be downloaded from the GRASS Web site or any of its 25 worldwide mirror sites. The system was released under GNU GPL in 1999 and is currently developed by the international GRASS Development Team, coordinated at the Centro per la Ricerca Scientifica e Tecnologica (ITC-irst), in Italy. Army Construction Engineering Research Laboratory as land management support software for military installations, GRASS has evolved into a powerful, multipurpose GIS for geospatial data management, analysis, modeling, and visualization. Open source GIS tools, Geographic Resources Analysis Support System (GRASS) is one of the few systems that provides a comprehensive set of tools for working with georeferenced data. More-complex analysis that combines various types of data and examines their spatial relationships still requires considerable expertise and extensive GIS capabilities. The availability of data has stimulated extensive development of new geospatial tools (Google Earth, and many others), but most of the tools focus on basic tasks such as viewing and querying (where things are, how to get from point A to B). National Map Viewer to numerous agency, state, and local sites provide easy access to a variety of basic (imagery, elevation, hydrography, roads) and thematic (census, land cover, vegetation, water quality) data. A wide range of Web portals, from the U.S. geospatial data is free and readily available on the internet. government agencies (especially EPA, NASA, NOAA, USDA, USGS, and the U.S. ![]() Recent advances in geospatial technologies, including Global Positioning System (GPS), satellite imaging, 3-D laser scanning, and Geographic Information Systems (GIS), have dramatically shortened the time needed for georeferenced data acquisition and processing. Connecting to an external database allows you to build sophisticated geospatial apps with the open-source GRASS GIS tool. ![]()
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