gdal 1.11.2+dfsg-1~exp2 source package in Ubuntu
Changelog
gdal (1.11.2+dfsg-1~exp2) experimental; urgency=medium
* Update symbols for amd64, arm64, armel, armhf, hurd-i386, i386,
kfreebsd-amd64, kfreebsd-i386, mipsel, powerpc, ppc64el, s390x, sparc &
x32.
-- Bas Couwenberg <email address hidden> Fri, 20 Feb 2015 14:56:48 +0100
Upload details
- Uploaded by:
- Debian GIS Project on 2015-02-20
- Uploaded to:
- Experimental
- Original maintainer:
- Debian GIS Project
- Architectures:
- any all
- Section:
- science
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Vivid | release | on 2015-03-19 | universe | science |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| gdal_1.11.2+dfsg-1~exp2.dsc | 3.2 KiB | d912551c6e7ffad513f2e945237887a559b5dd2cf9524dacc1bb230873b05695 |
| gdal_1.11.2+dfsg.orig.tar.gz | 10.3 MiB | 5687bef9384d43b01b8e114d8ee2fb2b8e5ee0a18f146fe99aa7e0a9f3966ac4 |
| gdal_1.11.2+dfsg-1~exp2.debian.tar.xz | 168.5 KiB | 82c501bbc3e759a80b7257d1ba316fb4b61d40760982e6b30886a55356c288b7 |
Available diffs
No changes file available.
Binary packages built by this source
- gdal-bin: Geospatial Data Abstraction Library - Utility programs
GDAL is a translator library for raster geospatial data formats.
As a library, it presents a single abstract data model to the
calling application for all supported formats. The related OGR
library (which lives within the GDAL source tree) provides
a similar capability for simple features vector data.
.
GDAL supports 40+ popular data formats, including commonly used
ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
GIS and remote sensing software packages (ERDAS Imagine,
ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
sensing and scientific data distribution formats such as HDF,
EOS FAST, NOAA L1B, NetCDF, FITS.
.
OGR library supports popular vector formats like ESRI Shapefile,
TIGER data, S57, MapInfo File, DGN, GML and more.
.
This package contains utility programs, based on GDAL/OGR library,
namely gdal_translate, gdalinfo, gdaladdo, gdalwarp, ogr2ogr, ogrinfo,
ogrtindex.
- libgdal-dev: Geospatial Data Abstraction Library - Development files
GDAL is a translator library for raster geospatial data formats.
As a library, it presents a single abstract data model to the
calling application for all supported formats. The related OGR
library (which lives within the GDAL source tree) provides
a similar capability for simple features vector data.
.
GDAL supports many popular data formats, including commonly used
ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
GIS and remote sensing software packages (ERDAS Imagine,
ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
sensing and scientific data distribution formats such as HDF,
EOS FAST, NOAA L1B, NetCDF, FITS.
.
OGR library supports popular vector formats like ESRI Shapefile,
TIGER data, S57, MapInfo File, DGN, GML and more.
.
This package contains the files needed to develop a software that
will use the GDAL/OGR (headers, static objects, configuration script).
- libgdal-doc: Documentation for the Geospatial Data Abstraction Library
GDAL is a translator library for raster geospatial data formats.
As a library, it presents a single abstract data model to the
calling application for all supported formats. The related OGR
library (which lives within the GDAL source tree) provides
a similar capability for simple features vector data.
.
GDAL supports 40+ popular data formats, including commonly used
ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
GIS and remote sensing software packages (ERDAS Imagine,
ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
sensing and scientific data distribution formats such as HDF,
EOS FAST, NOAA L1B, NetCDF, FITS.
.
OGR library supports popular vector formats like ESRI Shapefile,
TIGER data, S57, MapInfo File, DGN, GML and more.
.
This package contains documentation for GDAL/OGR API.
- libgdal-java: Java bindings to the Geospatial Data Abstraction Library
GDAL is a translator library for raster geospatial data formats.
As a library, it presents a single abstract data model to the
calling application for all supported formats. The related OGR
library (which lives within the GDAL source tree) provides
a similar capability for simple features vector data.
.
GDAL supports 40+ popular data formats, including commonly used
ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
GIS and remote sensing software packages (ERDAS Imagine,
ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
sensing and scientific data distribution formats such as HDF,
EOS FAST, NOAA L1B, NetCDF, FITS.
.
OGR library supports popular vector formats like ESRI Shapefile,
TIGER data, S57, MapInfo File, DGN, GML and more.
.
This package contains Java bindings for GDAL/OGR library.
- libgdal-perl: Perl bindings to the Geospatial Data Abstraction Library
GDAL is a translator library for raster geospatial data formats.
As a library, it presents a single abstract data model to the
calling application for all supported formats. The related OGR
library (which lives within the GDAL source tree) provides
a similar capability for simple features vector data.
.
GDAL supports 40+ popular data formats, including commonly used
ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
GIS and remote sensing software packages (ERDAS Imagine,
ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
sensing and scientific data distribution formats such as HDF,
EOS FAST, NOAA L1B, NetCDF, FITS.
.
OGR library supports popular vector formats like ESRI Shapefile,
TIGER data, S57, MapInfo File, DGN, GML and more.
.
This package contains Perl bindings for GDAL/OGR library.
- libgdal1-dev: Geospatial Data Abstraction Library - Transitional package
GDAL is a translator library for raster geospatial data formats.
As a library, it presents a single abstract data model to the
calling application for all supported formats. The related OGR
library (which lives within the GDAL source tree) provides
a similar capability for simple features vector data.
.
GDAL supports many popular data formats, including commonly used
ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
GIS and remote sensing software packages (ERDAS Imagine,
ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
sensing and scientific data distribution formats such as HDF,
EOS FAST, NOAA L1B, NetCDF, FITS.
.
OGR library supports popular vector formats like ESRI Shapefile,
TIGER data, S57, MapInfo File, DGN, GML and more.
.
This is a transitional dummy package that depends on libgdal-dev
and is used to allow versioned build dependencies to work in
any build environment.
- libgdal1h: No summary available for libgdal1h in ubuntu wily.
No description available for libgdal1h in ubuntu wily.
- python-gdal: Python bindings to the Geospatial Data Abstraction Library
GDAL is a translator library for raster geospatial data formats.
As a library, it presents a single abstract data model to the
calling application for all supported formats. The related OGR
library (which lives within the GDAL source tree) provides
a similar capability for simple features vector data.
.
GDAL supports 40+ popular data formats, including commonly used
ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
GIS and remote sensing software packages (ERDAS Imagine,
ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
sensing and scientific data distribution formats such as HDF,
EOS FAST, NOAA L1B, NetCDF, FITS.
.
OGR library supports popular vector formats like ESRI Shapefile,
TIGER data, S57, MapInfo File, DGN, GML and more.
.
This package contains Python bindings for GDAL/OGR library and
a set of additional command line tools.
- python3-gdal: Python 3 bindings to the Geospatial Data Abstraction Library
GDAL is a translator library for raster geospatial data formats.
As a library, it presents a single abstract data model to the
calling application for all supported formats. The related OGR
library (which lives within the GDAL source tree) provides
a similar capability for simple features vector data.
.
GDAL supports 40+ popular data formats, including commonly used
ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in
GIS and remote sensing software packages (ERDAS Imagine,
ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote
sensing and scientific data distribution formats such as HDF,
EOS FAST, NOAA L1B, NetCDF, FITS.
.
OGR library supports popular vector formats like ESRI Shapefile,
TIGER data, S57, MapInfo File, DGN, GML and more.
.
This package contains Python 3 bindings for GDAL/OGR library and
a set of additional command line tools.
