Debian GIS Workstation packages

AVCE00 ist eine C Bibliothek und eine Gruppe von Werkzeugen, womit die Darstellung von Arcinfo (Binär) >>Vector Coverages<< als E00 ermöglicht wird. Es erlaubt das Lesen und Schreiben binärer >>coverages<< als ob diese E00-Dateien wären.

E00compr is an ANSI C library that reads and writes Arcinfo compressed E00 files. Both "PARTIAL" and "FULL" compression levels are supported. E00 files are the vector import/export format for Arcinfo. It is plain ASCII and is meant as an interchange format. ESRI considers the format to be proprietary, so this package may not read all E00 files as ESRI may change the format.

This package is useful for importing E00 files into the grass GIS system.

It contains the e00conv command-line program, which takes a E00 file as input (compressed or not) and copies it to a new file with the requested compression level (NONE, PARTIAL or FULL). The library is not included at this stage.

Epsilon is C library for Wavelet based lossy image compression. Wavelet-driven compressors are know to be much more effective than traditional DCT-based ones (like JPEG).

At the moment, the program supports about 30 different wavelet filters, runs in parallel in multi-threaded and MPI environments, can process huge images and much more.

This package contains some useful tools to compress/uncompress images.

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.

GeographicLib is a small set of C++ classes for converting between geographic, UTM, UPS, MGRS, geocentric, and local cartesian coordinates, for geoid calculations, and for computing geodesic. It is a suitable replacement for the core functionality provided by NGA Geotrans.

This package contains some core tools based on the GeographicLib library.

GeoIP ist eine C-Bibliothek, die Benutzern ermöglicht das Land zu einer IP-Adresse oder einem Hostnamen zu finden. Es verwendet eine Datei-basierte Datenbank.

Diese Datenbank enthält einfach IP-Blöcke als Schlüssel und Länder als Werte und sie ist wahrscheinlich vollständiger und genauer als inverse DNS-Suchen.

Dieses Paket enthält die Werkzeuge für die Befehlszeile zum Nachschlagen von IP-Adressen mittels der GeoIP-Bibliothek.

This C library supports TIFF 6.0 based interchange format for georeferenced raster imagery. The GeoTIFF standard has been developed for reading, and writing geographic meta-information tags on top of TIFF raster.

The GeoTIFF library comes with two utility programs here included:

 listgeo - dumps the metadata of a GeoTIFF file.
 geotifcp - applies metadata to a TIFF file, making it a GeoTIFF file.

GMT ist eine Sammlung von Werkzeugen, die dem Benutzer die Manipulation zwei- und dreidimensionaler Datensätze (einschließlich Filterung, Quantifizierung von Trends, Klassierung/Vergröberung auf ein Raster, Projektion, usw.) ermöglichen. Sie erzeugen Illustrationen von einfachen xy-Flächen über Höhenlinien bis hin zu künstlich beleuchteten Oberflächen und perspektivischen 3-D-Ansichten in schwarz-weiss, Grautönen, Schraffurmustern und 24-Bit-Farben. Die Ausgabe erfolgt im EPS(Encapsulated PostScript)-Format.

GMT unterstützt viele gebräuchliche Kartenprojektionen plus lineare, logarithmische und exponentielle Skalierung, und kommt mit Unterstützungsdaten, wie z.B. Küsten, Flüsse und politische Grenzen.

A Tcl package that provides the means of creating and reading files in the ESRI Shapefile for keeping 2 or 3 dimensional points and polylines.

It was developed for use in GPSMan, a manager of GPS receiver data and is based on the shapelib module. Along with this package, gpstr2shp.c was also developed which translates GPStrans data files into Shapefile ones.

Mit dem Werkzeug Grace kann der Benutzer mittels Mausklicks X-Y-Darstellungen erstellen. Dieses Programm hatte früher den Namen Xmgr.

Zu seinen Merkmalen gehören: benutzerdefinierte Skalierung, Skalenstriche, Beschriftungen, Symbole, Linienstile, Farben, Polynomiale Regression, Splines, gleitende Mittelwerte, DFT/FFT, Kreuz-/Auto-Korrelation, Batch-Modus für nicht interaktive Plots und Unterstützung der Druckausgabe für PostScript, FrameMaker und mehrere Bildformate.

Dieses System ist als GRASS (Geographic Resources Analysis Support System) bekannt. Es ist ein geografisches Informationssystem (GIS); genutzt wird es für die Verwaltung und Analyse geographischer Daten, Bildverarbeitung, Erzeugung von Grafiken und Landkarten, räumliche Modellierung und Visualisierung. GRASS wird zur Zeit in akademischen und kommerziellen Einrichtungen rund um die Welt eingesetzt. Auch viele Regierungsstellen und in der Umweltberatung tätige Firmen nutzen es.

Mit der Installation dieses virtuellen Pakets erhalten Sie ein vollständiges GRASS-System.

HDF5 (Hierarchical Data Format 5) is a file format for storing scientific data. These tools allow converting other formats to HDF5 and to visualize HDF5 files. They include:

• h5topng, which extracts a 2d slice of an HDF5 file and outputs a corresponding image in PNG format;
• h5totxt, which extracts 2d slices and outputs comma-delimited text (suitable for import into a spreadsheet);
• h5fromtxt, which converts simple text input into multi-dimensional numeric HDF5 datasets;
• h5fromh4, which converts HDF4 data to HDF5;
• h5tovtk, which converts HDF5 files to VTK files for visualization with VTK-aware programs;

HDF is a multi-object file format for storing and transferring graphical and numerical data mainly used in scientific computing. HDF supports several different data models, including multidimensional arrays, raster images, and tables. Each defines a specific aggregate data type and provides an API for reading, writing, and organizing the data and metadata. New data models can be added by the HDF developers or users.

This package includes some basic utilities to view, pack, unpack, HDF files.

HDF5 ist ein Dateiformat und eine Bibliothek, um wissenschaftliche Daten zu speichern. HDF5 wurde entworfen und entwickelt, um die Unzulänglichkeiten von HDF4.x anzugehen. Es hat ein mächtigeres und flexibleres Datenmodell und unterstützt Dateien größer als 2 GB und parallele Ein-/Ausgabe.

Dieses Paket enthält Laufzeitprogramme für HDF5.

FreeXL is a C library implementing direct reading of Microsoft Excel spreadsheets, up to the BIFF8 file format specification (i.e. .xls, Microsoft Excel XP/2003 and older). The XML SS file format specification (.xlsx, Microsoft Excel 2007 and newer) is not supported.

This package contains the shared library.

GDAL ist eine Übersetzungbibliothek für Raster-Datenformate mit Raumbezug. Als Bibliothek präsentiert es der aufrufenden Anwendung ein abstraktes Datenmodell für alle unterstützten Formate. Die verwandte OGR-Bibliothek (welche sich im GDAL Sourcezweig befindet) stellt entsprechende Funktionen für einfach gehaltene Vektordaten bereit.

GDAL unterstützt viele populäre Datenformate, neben oft verwendeten (GeoTIFF, JPEG, PNG und mehr) auch solche, die in GIS (geographischen Informationssystemen) und Paketen zur Fernerkundung (ERDAS Imagine, ESRI Arc/Info, ENVI, PCI Geomatics) verwendet werden. Weiterhin werden viele Fernerkundungs- und naturwissenschaftliche Austauschformate wie z.B. HDF, EOS FAST, NOAA L1B, NetCDF, FITS unterstützt.

Die Bibliothek OGR unterstützt populäre Vektorformate wie ESRI Shapefile, TIGER data, S57, MapInfo File, DGN, GML und andere.

Dieses Paket enthält die für die Entwicklung von Software, die GDAL/OGR nutzt, notwendigen Dateien (Header, statische Objekte, Konfigurationsskript).

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. This extension provides access to GRASS data via GDAL.

This package provides the GDAL GRASS plugin.

One location on the globe, in any coordinate system. Geo::Point tries to hide the maths and the coordinate system in which the point is represented.

One of the most confusing things when handling geometrical data, is that sometimes latlong, sometimes xy are used: horizontal and vertical organization reversed. This package tries to hide this from your program by providing abstract accessors latlong(), longlat(), xy(), and yx().

This package provides the following modules:

• Geo::Line - a sequence of connected points
• Geo::Point - a point on the globe
• Geo::Proj - simplified wrapper for Geo::Proj4
• Geo::Shape - base class for 2-dimensional points on the earth surface
• Geo::Space - A collection of various items
• Geo::Surface - A surface description

GeographicLib is a small set of C++ classes for converting between geographic, UTM, UPS, MGRS, geocentric, and local cartesian coordinates, for geoid calculations, and for computing geodesic. It is a suitable replacement for the core functionality provided by NGA Geotrans.

This package contains the files used to develop applications that use the GeographicLib library.

JTS is a java library which provides:

• an implementation of the spatial data model defined in the OGC Simple Features Specification for SQL (SFS)
• a complete, consistent, implementation of fundamental 2D spatial algorithms
• an explicit precision model, with algorithms that gracefully handle situations that result in dimensional collapse
• robust implementations of key computational geometric operations
• I/O in Well-Known Text format

libLAS is a C/C++ library for reading and writing ASPRS LAS versions 1.0, 1.1 and 1.2 data. The LAS format is a sequential binary format used to store data from sensors and as intermediate processing storage by some LiDAR-related applications. LiDAR (Light Detection and Ranging) is an optical remote sensing technology that measures properties of scattered light to find range and/or other information of a distant target. The prevalent method to determine distance to an object or surface is to use laser pulses.

This package contains the essential toolset to manage LiDAR data: lasinfo, lasmerge, las2las, las2txt, txt2las, las2ogr.

The Shapefile format is a working and interchange format promoted by ESRI for simple vector data with attributes. It is apparently the only file format that can be edited in ARCView 2/3, and can also be exported and imported in ArcGis.

This package includes the development files.

A mapcode represents a location. Every location on Earth can be represented by a mapcode. Mapcodes were designed to be short, easy to recognise, remember and communicate. They are precise to a few meters, which is good enough for every-day use. Locations in densely populated areas often get shorter mapcodes. See http://www.mapcode.com/

This package contains a command line utility that can convert to and from mapcodes.

Mapnik is an OpenSource C++ toolkit for developing GIS (Geographic Information Systems) applications. At the core is a C++ shared library providing algorithms/patterns for spatial data access and visualization.

Essentially a collection of geographic objects (map, layer, datasource, feature, geometry), the library doesn't rely on "windowing systems" and is intended to work in multi-threaded environments

This package contains miscellaneous utilities distributed with mapnik:

shapeindex: program to creates file system based index for ESRI shape-files

OGDI steht für Open Geographic Datastore Interface. OGDI ist eine Programmierschnittstelle (API), die eine standardisierte Zugriffsmethode verwendet, um mit GIS-Softwarepaketen (der Anwendung) und verschiedenen geografischen Daten zusammen zu arbeiten. OGDI verwendet eine Client/Server-Architektur, um das Verteilen geografischer Daten über ein TCP/IP-Netzwerk zu erleichtern, und einen treiberorientierten Ansatz, um den Zugriff auf mehrere geografische Datenprodukte/-formate zu ermöglichen.

Dieses Paket enthält einige nützliche, auf der OGDI-Bibliothek basierende Werkzeuge.

Ein portierbarer, leistungsfähiger Grafik-Werkzeugsatz für die Entwicklung von Hochleistungs-Grafikanwendungen wie Flugsimulatoren, Spielen, virtuelle Realität oder wissenschaftliche Visualisierung. Er stellt ein auf OpenGL aufbauendes, objektorientiertes Rahmenwerk bereit, das die Entwickler von der Umsetzung und Optimierung systemnaher Grafikaufrufe befreit. Das Paket enthält viele weitere Dienstprogramme für die schnelle Entwicklung von Grafikanwendungen.

Dieses Paket enthält Werkzeuge und Beispiele (Binärprogramme).

osgEarth is a scalable terrain rendering toolkit for OpenSceneGraph (OSG), an open source, high performance, 3D graphics toolkit. Just create a simple XML file, point it at your imagery, elevation, and vector data, load it into your favorite OSG application, and go! osgEarth supports all kinds of data and comes with lots of examples to help you get up and running quickly and easily.

This package contains binaries.

Open Source Software Image Map (OSSIM) is a high performance engine for remote sensing, image processing, geographical information systems and photogrammetry. It has been actively developed since 1996.

Designed as a series of high performance software libraries, it is written in C++ employing the latest techniques in object-oriented software design.

The library provides advanced remote sensing, image processing, and geo-spatial functionality. A quick summary of OSSIM functionality includes ortho-rectification, precision terrain correction, rigorous sensor models, very large mosaics, and cross sensor fusions, a wide range of map projections and datums, and a large range of commercial and government data formats. The architecture of the library supports parallel processing with mpi (not enabled), a dynamic plugin architecture, and dynamically connectable objects allowing rapid prototyping of custom image processing chains.

This package includes core tools that use the OSSIM library to perform some basic tasks.

PDAL is a BSD licensed library for translating and manipulating point cloud data of various formats. PDAL can be used to read, write and translate point cloud data in many formats. Support is included for input files of LAS, LAZ, SBET, BPF, QFIT and others. PDAL can also read from and write to databases that support point cloud storage, including Oracle, Postgres and SQLite.

PDAL should not be confused with PCL (Point Cloud Library). PCL is a library specifically designed to provide algorithmic analysis and modification of point clouds. PDAL provides a limited interface to the facilities of PCL, but does not in general attempt to duplicate its capabilities.

This package contains the PDAL utilities.

Pktools is a collection of programs to perform operations, mostly on raster geolocated images. It heavily relies on the Geospatial Data Abstraction Library (GDAL) and OGR. The programs are similar to the GDAL tools (gdalinfo, gdal_translate, gdal_merge, ...) and some of the functionalities provided in pktools already exist in the GDAL tools.

All utilities in pktools use command line options and have a built in help. They include more than thirty binaries to edit, change, crop, classify, compare, dump, fill, enhance images and many other common operations useful in the remote sensing field of image analysis.

PostGIS adds support for geographic objects to the PostgreSQL object-relational database. In effect, PostGIS "spatially enables" the PostgreSQL server, allowing it to be used as a backend spatial database for geographic information systems (GIS), much like ESRI's SDE or Oracle's Spatial extension. PostGIS follows the OpenGIS "Simple Features Specification for SQL".

This package contains the PostGIS userland binaries for importing and exporting shape and raster files: pgsql2shp, raster2pgsql, and shp2pgsql.

This script performs a network and time efficient comparison or synchronization of two possibly large tables on two PostgreSQL database servers, so as to detect inserted, updated or deleted tuples between these tables.

pprepair (planar partition repair) nimmt einen Polygonensatz und stellt sicher, dass diese eine valide planare Partition ohne Lücken oder Überlappungen aus validen Polygonen bilden. Es kann als Validierung - Probleme in einzelnen Polygonen oder in der planaren Partition finden - als auch als Werkzeug zur automatischen Reparatur - einen Polygonensatz ausgeben, der eine valide planare Partition formt - verwendet werden.

prepair ermöglicht die einfache Reparatur »kaputter« GIS-Polygone, gemäß des internationalen Standards ISO 19107. In Kürze: es nimmt ein in WKT gespeichertes Polygon, repariert es automatisch und gibt ein valides WKT zurück. Methoden zur automatischen Reparatur interpretieren mehrdeutige oder schlecht definierte Polygone und bieten eine kohärente und klar definierte Ausgabe.

Proj and invproj perform respective forward and inverse transformation of cartographic data to or from Cartesian data with a wide range of selectable projection functions (over 100 projections).

Geod and invgeod perform geodesic (Great Circle) computations for determining latitude, longitude and back azimuth of a terminus point given a initial point latitude, longitude, azimuth and distance (direct) or the forward and back azimuths and distance between an initial and terminus point latitudes and longitudes (inverse).

This package provides the PROJ binary tools.

This library contains functions for handling affine transformations of the plane.

It can be used in georeferenced datasets to transfer image to world coordinates.

This is the Python 2 version of the library.

Descartes allows the usage of geometric objects as matplotlib paths and patches.

This is the Python 2 version of the library.

Fiona ist ein Python-Wrapper um die OGR-Bibliothek zur Abstraktion von Vektordaten. Entwurfsziele waren Einfachheit und Zuverlässigkeit. Hauptaugenmerk ist das Lesen und Schreiben von Daten im allgemeinen Python-IO-Stil. Fiona basiert auf bekannten Python-Typen und -protokollen wie Dateien, Wörterbüchern, Abbildungen und Iteratoren anstelle von spezifischen OGR-Klassen. Fiona kann unter Verwendung von mehrschichtigen GIS- Formaten und gezippten virtuellen Dateisytemen Realweltdaten lesen und schreiben. Weiterhin lässt es sich leicht mit anderen Python-GIS-Paketen, z.B. pyproj, Rtree und Shapely, integrieren.

Dieses Paket enthält die Python-2-API.

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.

This package is a utility library to work with geospatial links. It is an implementation of the Cat-Interop work described at https://wiki.osgeo.org/wiki/Cat-Interop

This package provides the Python 2 version of the library.

GeoPandas is a project to add support for geographic data to pandas objects. It currently implements GeoSeries and GeoDataFrame types which are subclasses of pandas.Series and pandas.DataFrame respectively. GeoPandas objects can act on shapely geometry objects and perform geometric operations.

GeoPandas geometry operations are cartesian. The coordinate reference system (crs) can be stored as an attribute on an object, and is automatically set when loading from a file. Objects may be transformed to new coordinate systems with the to_crs() method. There is currently no enforcement of like coordinates for operations, but that may change in the future.

This package contains the Python 2 version of the library.

Mapnik is an OpenSource C++ toolkit for developing GIS (Geographic Information Systems) applications. At the core is a C++ shared library providing algorithms/patterns for spatial data access and visualization.

Essentially a collection of geographic objects (map, layer, datasource, feature, geometry), the library doesn't rely on "windowing systems" and is intended to work in multi-threaded environments

This package contains the bindings for Python 2.

PDAL is a BSD licensed library for translating and manipulating point cloud data of various formats. PDAL can be used to read, write and translate point cloud data in many formats. Support is included for input files of LAS, LAZ, SBET, BPF, QFIT and others. PDAL can also read from and write to databases that support point cloud storage, including Oracle, Postgres and SQLite.

PDAL should not be confused with PCL (Point Cloud Library). PCL is a library specifically designed to provide algorithmic analysis and modification of point clouds. PDAL provides a limited interface to the facilities of PCL, but does not in general attempt to duplicate its capabilities.

This package contains the PDAL extension for Python 2.

PROJ.4 performs cartographic transformations between geographic (lat/lon) and map projection (x/y) coordinates. It can also transform directly from one map projection coordinate system to another.

This is a Python binding to PROJ.4, it can receive coordinates as numpy arrays, Python arrays, lists or scalars. This module is optimized for numpy arrays.

PySAL is an open source library of spatial analysis functions written in Python intended to support the development of high level applications.

It is important to underscore what PySAL is, and is not, designed to do. First and foremost, PySAL is a library in the fullest sense of the word. Developers looking for a suite of spatial analytical methods that they can incorporate into application development should feel at home using PySAL. Spatial analysts who may be carrying out research projects requiring customized scripting, extensive simulation analysis, or those seeking to advance the state of the art in spatial analysis should also find PySAL to be a useful foundation for their work.

End users looking for a user friendly graphical user interface for spatial analysis should not turn to PySAL directly. Instead, they should consider projects like STARS and the GeoDaX suite of software products which wrap PySAL functionality in GUIs. At the same time, it's expected that with developments such as the Python based plug-in architectures for QGIS, GRASS, and the toolbox extensions for ArcGIS, that end user access to PySAL functionality will be widening in the near future.

This package contains the pysal library for Python 2.

pyspatialite is an interface to the SQLite 3.x embedded relational database engine with spatialite extensions.

It is almost fully compliant with the Python database API version 2.0 and also exposes the unique features of SQLite and spatialite.

This package contains the pyspatialite module for Python 2.

Rasterio reads and writes geospatial raster datasets.

Rasterio employs GDAL under the hood for file I/O and raster formatting. Its functions typically accept and return Numpy ndarrays. Rasterio is designed to make working with geospatial raster data more productive and more fun.

This package contains the Python 2 version of the library.

Shapely is a package for manipulation and analysis of 2D features. Its capabilities include:

• calculating the point set unions, intersections, or differences of features
• predicate tests on features: intersects, touches, contains, and more.

Supported geometric types are points, line strings, linear rings, polygons, and homogeneous or heterogeneous collections thereof.

This is the Python 2 version of the package.

This library parses S-expressions using numpy. Available function include arithmetic and logical operators. Also members of the numpy module such as "asarray()", "mean()" and "where" are available.

This package provides the Python 2 version of the package.

Stetl, streaming ETL, pronounced "staedl", is a lightweight ETL-framework for the conversion of rich (as GML) geospatial data conversion.

It basically glues together existing parsing and transformation tools like GDAL/OGR (ogr2ogr) and XSLT. By using native tools like libxml and libxslt (via Python lxml) Stetl is speed-optimized.

Stetl has a similar design as Spring (Java) and other modern frameworks based on IoC (Inversion of Control). A configuration file (in Python config format) specifies your chain of ETL steps. This chain is formed by a series of Python modules/objects and their parameters. These are symbolically specified in the config file. You just invoke etl.py the main program with a config file. The config file specifies the input modules (e.g. PostGIS), transformers (e.g. XSLT) and outputs (e.g. a GML file or even WFS-T a geospatial protocol to publish GML to a server).

This package contains the module for Python 2.

This library contains functions for handling affine transformations of the plane.

It can be used in georeferenced datasets to transfer image to world coordinates.

This is the Python 3 version of the library.

Fiona ist ein Python-Wrapper um die OGR-Bibliothek zur Abstraktion von Vektordaten. Entwurfsziele waren Einfachheit und Zuverlässigkeit. Hauptaugenmerk ist das Lesen und Schreiben von Daten im allgemeinen Python-IO-Stil. Fiona basiert auf bekannten Python-Typen und -protokollen wie Dateien, Wörterbüchern, Abbildungen und Iteratoren anstelle von spezifischen OGR-Klassen. Fiona kann unter Verwendung von mehrschichtigen GIS- Formaten und gezippten virtuellen Dateisytemen Realweltdaten lesen und schreiben. Weiterhin lässt es sich leicht mit anderen Python-GIS-Paketen, z.B. pyproj, Rtree und Shapely, integrieren.

Dieses Paket enthält die Python-3-API.

Rasterio reads and writes geospatial raster datasets.

Rasterio employs GDAL under the hood for file I/O and raster formatting. Its functions typically accept and return Numpy ndarrays. Rasterio is designed to make working with geospatial raster data more productive and more fun.

This package contains the Python 3 version of the library.

Shapely is a package for manipulation and analysis of 2D features. Its capabilities include:

• calculating the point set unions, intersections, or differences of features
• predicate tests on features: intersects, touches, contains, and more.

Supported geometric types are points, line strings, linear rings, polygons, and homogeneous or heterogeneous collections thereof.

This is the Python 3 version of the package.

This library parses S-expressions using numpy. Available function include arithmetic and logical operators. Also members of the numpy module such as "asarray()", "mean()" and "where" are available.

This package provides the Python 3 version of the library.

Ein geografisches Informationssystem (GIS) verwaltet, analysiert und visualisiert Datenbanken mit geografischen Informationen. Quantum GIS (QGIS) unterstützt die Anzeige und Bearbeitung von Dateien im Shapefile-Format, die Speicherung räumlicher Daten mit PostgreSQL/PostGIS, Projektionen im laufenden Betrieb (»on-the-fly«) und den Entwurf von Karten sowie über eine Erweiterungsschnittstelle eine Reihe weiterer Aufgaben. QGIS kann verschiedene georeferenzierte Raster- und DEM-Formate (Digital Evaluation Model) anzeigen, einschließlich GeoTIFF, Arc/Info ASCII Grid und USGS ASCII DEM.

librasterlite2 is an open source library that stores and retrieves huge raster coverages using a SpatiaLite DBMS.

It is intended to completely replace and supersede librasterlite. The two projects are completely unrelated: the unique similarity between both is just in covering the same identical application area.

This package contains command-line tools to use librasterlite2.

SAGA GIS (System for Automated Geoscientific Analyses) is a free and open source geographic information system used for editing and analysing spatial data. It includes a large number of modules for the analysis of vector (point, line and polygon), table, grid and image data. Among others the package includes modules for geostatistics, image classification, projections, simulation of dynamic processes (hydrology, landscape development) and terrain analysis. The functionality can be accessed through a GUI, the command line or by using the C++ API.

SaVi allows you to simulate satellite orbits and coverage, in two and three dimensions. SaVi is particularly useful for simulating satellite constellations such as Iridium and Globalstar.

SaVi can use Geomview, an optional but useful package, for 3D rendering.

The SpatiaLite extension enables SQLite to support spatial (geometry) data in a way conformant to OpenGis specifications, with both WKT and WKB formats.

Spatialite also includes Virtualshape and Virtualtext to enable accessing shapefiles and csv/text files as virtual tables.

This package contains tools useful to manage SQLite databases.

spatialite-gui is a Graphical User Interface (GUI) for SpatiaLite.

SpatiaLite is a SQLite extension that enables support of spatial (geometry) data in a way conformant to OpenGis specifications, with both WKT and WKB formats.

Spatialite also includes Virtualshape and Virtualtext to enable accessing shapefiles and csv/text files as virtual tables.

Stetl, streaming ETL, pronounced "staedl", is a lightweight ETL-framework for the conversion of rich (as GML) geospatial data conversion.

It basically glues together existing parsing and transformation tools like GDAL/OGR (ogr2ogr) and XSLT. By using native tools like libxml and libxslt (via Python lxml) Stetl is speed-optimized.

Stetl has a similar design as Spring (Java) and other modern frameworks based on IoC (Inversion of Control). A configuration file (in Python config format) specifies your chain of ETL steps. This chain is formed by a series of Python modules/objects and their parameters. These are symbolically specified in the config file. You just invoke etl.py the main program with a config file. The config file specifies the input modules (e.g. PostGIS), transformers (e.g. XSLT) and outputs (e.g. a GML file or even WFS-T a geospatial protocol to publish GML to a server).

This package contains the stetl utility.

Thuban can read geographic data in the shapefile format. Main features of thuban are the layer management and the possibility to navigate on the map, to control the visual appearance of objects, to identify and edit attributes by object selection and to print and export the resulting maps for further processing.

This package contains the thuban program and its libraries.

Total Open Station (TOPS for friends) is a free software program for downloading and processing data from total station devices.

This is a task which is usually done by proprietary, dedicated and Windows™-only software, but TOPS is different by nature, because:

• it is free software released under the GNU GPLv3 license;
• it works on any operating system, including mobile platforms like OpenMoko;
• it is designed to support as many devices and formats as possible, all within the same program, opposed to having one program per device.

Every model has its own quirks, but TOPS uses a modular structure and keeps the downloading of data logically separated from its processing, thus enabling exporting data to a variety of output formats, even at a later moment. Archiving of raw data is made easy by using plain text files.

Commonly referred to as GRASS, this is a Geographic Information System (GIS) used for geospatial data management and analysis, image processing, graphics/map production, spatial modeling, and visualization. GRASS is currently used in academic and commercial settings around the world, as well as by many government agencies and environmental consulting companies.

This package contains HTML documentation for the GRASS system.

Geo::Proj4 is a wrapper library around PROJ.4, a cartographic projection library, for easy use in Perl software.

The Open Source PROJ.4 library converts between geographic coordinate systems. It is able to convert between geodetic latitude and longitude (LL, most commonly the WGS84 projection), into an enormous variety of other cartographic projections (XY, usually UTM).

Geo::Shapelib is a module to read, create and write shapefiles as defined by ESRI, using Perl. It provides the Perl binding for the Shapelib library.

The Shapefile format is a working and interchange format promoted by ESRI for simple vector data with attributes. It is apparently the only file format that can be edited in ARCView 2/3, and can also be exported and imported in ArcGis.

This is a library for use with applications that want to parse, generate and operate on KML, a geo-data XML variant. It is an implementation of the OGC KML 2.2 standard. It is written in C++ and bindings are available via SWIG to Java and Python.

This package contains the required packages for Java applications.

NCO is a suite of programs known as operators. The operators are stand-alone, command-line programs executable in a POSIX shell. Operators take one or more netCDF files as input, perform operations (e.g., averaging, hyperslabbing), and produce a netCDF output file. NCO was originally designed to manipulate and analyze climate data, though it works on any netCDF format datasets.

You would use ncview to get a quick and easy, push-button look at your NetCDF files. You can view simple movies of the data, view along various dimensions, take a look at the actual data values, change color maps, invert the data and other simple visual operations.

Dieses Paket enthält die Programme ncdump und ncgen, die NetCDF-Dateien in ASCII und zurück konvertieren können. NetCDF (network Common Data Form) ist eine Schnittstelle für den Zugriff auf wissenschaftliche Daten und eine frei verfügbare Softwarebibliothek, welche eine Implementierung dieses Interfaces bietet. Die netCDF-Bibliothek definiert auch ein maschinenunabhängiges Format zur Repräsentation von wissenschaftlichen Daten. Die Schnittstelle, die Bibliothek und das Format unterstützen zusammen die Erzeugung, den Zugriff und die Verteilung von wissenschaftlichen Daten.

PyEPR provides Python bindings for the ENVISAT Product Reader C API (EPR API) for reading satellite data from ENVISAT ESA (European Space Agency) mission.

PyEPR, as well as the EPR API for C, supports ENVISAT MERIS, AATSR Level 1B and Level 2 and also ASAR data products. It provides access to the data either on a geophysical (decoded, ready-to-use pixel samples) or on a raw data layer. The raw data access makes it possible to read any data field contained in a product file.

This is the Python 2 version of the package.

This is a library for use with applications that want to parse, generate and operate on KML, a geo-data XML variant. It is an implementation of the OGC KML 2.2 standard. It is written in C++ and bindings are available via SWIG to Java and Python.

This package contains required extensions for Python applications.

NetCDF version 4 has many features not found in earlier versions of the library and is implemented on top of HDF5. This module can read and write files in both the new netCDF 4 and the old netCDF 3 format, and can create files that are readable by HDF5 clients. The API is modelled after Scientific.IO.NetCDF, and should be familiar to users of that module.

Most new features of netCDF 4 are implemented, such as multiple unlimited dimensions, groups and zlib data compression. All the new numeric data types (such as 64 bit and unsigned integer types) are implemented. Compound and variable length (vlen) data types are supported, but the enum and opaque data types are not. Mixtures of compound and vlen data types (compound types containing vlens, and vlens containing compound types) are not supported.

This package contains the netCDF 4 module for Python 2.

PySHP provides read and write support for the ESRI Shapefile format. The Shapefile format is a popular Geographic Information System vector data format created by ESRI.

This package contains the module for Python 2.x.

NetCDF version 4 has many features not found in earlier versions of the library and is implemented on top of HDF5. This module can read and write files in both the new netCDF 4 and the old netCDF 3 format, and can create files that are readable by HDF5 clients. The API is modelled after Scientific.IO.NetCDF, and should be familiar to users of that module.

Most new features of netCDF 4 are implemented, such as multiple unlimited dimensions, groups and zlib data compression. All the new numeric data types (such as 64 bit and unsigned integer types) are implemented. Compound and variable length (vlen) data types are supported, but the enum and opaque data types are not. Mixtures of compound and vlen data types (compound types containing vlens, and vlens containing compound types) are not supported.

This package contains the netCDF 4 module for Python 3.

s3d ist ein 3d Netzwerk Display-Server, der als 3D-Desktopumgebung genutzt werden kann.

Dieses Paket enthält eine GPS-Kartenanwendung für s3d.

Google Earth is a 3D planet viewer that lets you interactively navigate satellite imagery, maps, terrain, and so forth.

Google Earth is available for GNU/Linux from their web site, but is non-free software and is undistributable. It also does not integrate well into a Debian system.

This utility makes it possible to build your own personal Debian package of Google Earth. The packaging itself is Free Software, but the Google Earth program is governed by the copyright holder (Google), so you may be limited as to what you can do with the resulting package (i.e. no redistribution, etc). This package will simply help you create the package, it is your responsibility to use the resulting package responsibly.

This C library supports TIFF 6.0 based interchange format for georeferenced raster imagery. The GeoTIFF standard has been developed for reading, and writing geographic meta-information tags on top of TIFF raster.

This package contains EPSG Geodetic Paramenters data files which can be used with standard projections. These data are useful to better dump geo-contents of many GeoTIFF files.

Kadaster and Rijkswaterstaat CIV, working together under the name RDNAP, developed RDNAPTRANS™2008, the precise and official transformation between ETRS89 and the dutch national horizontal and vertical coordinate reference systems the Stelsel van de Rijksdriehoeksmeting (RD) and the Normaal Amsterdams Peil (NAP). A ‘simplified’ procedure has been developed which uses a NTv2-grid for the transformation between ETRS89 and RD as well as a VDatum-grid for the transformation between ETRS89 and NAP. This ‘simplified’ procedure has the following limitations:

 1) The rdtrans2008 NTv2-grid can only give identical results to
    RDNAPTRANS™2008 within 1 millimeter at ground level onshore and at
    mean sea level offshore. The horizontal deviation is approximately
    1 millimeter per 50 meter height difference from ground level or mean
    sea level.
 2) An exception to 1) is the border of the RDNAPTRANS™2008 correction
    grid. Transformation results within cells of the rdtrans2008 NTv2-grid
    that are intersected by the border of the RDNAPTRANS™2008 correction
    grid can result in deviations of up to 20 centimeter.
 3) The naptrans2008 VDatum-grid cannot be used to determine deflections
    of the vertical. For this the NLGEO2004 geoid model has to be used.
 4) The naptrans2008 VDatum-grid is referenced to the Bessel-1841 ellipsoid
    and cannot be used stand-alone, it has to be used in combination with
    the rdtrans2008 NTv2-grid.

Taking into account the limitations listed above, the rdtrans2008 NTv2-grid and naptrans2008 VDatum-grid can be used as an alternative to RDNAPTRANS™2008 to transform geographic ETRS89-coordinates to projected RD-coordinates with grid correction applied and NAP-heights.

Note that, although the resulting RD/NAP and ETRS89 coordinates from the transformation will be correct, geographic Bessel-1841 coordinates will differ in both procedures and should only be considered as an intermediate result.

LibreWMS is an open source Geography application built on top of SpatiaLite and RasterLite2. It's basically simple and really light-weight, but it's an almost complete WMS 1.3.0 interactive GUI client.

OpenCPN is a concise ship-borne GUI chart plotter and navigation application for use as a planning tool or while underway. OpenCPN is developed by a team of active sailors using real world conditions for program testing and refinement. It supports:

* GPS/GPDS postition input
* BSB raster chart display
* S-57 and CM93 vector ENChart display
* AIS input decoding with tracking and alerts
* Route planning with tidal support
* Waypoint autopilot navigation
* GPX file input and output

The goal of VTP is to foster the creation of tools for easily constructing any part of the real world in interactive, 3D digital form.

This goal will require a synergetic convergence of the fields of CAD, GIS, visual simulation, surveying and remote sensing. VTP gathers information and tracks progress in areas such as procedural scene construction, feature extraction, and rendering algorithms. VTP writes and supports a set of software tools, including an interactive runtime environment (VTP Enviro). The tools and their source code are freely shared to help accelerate the adoption and development of the necessary technologies.

Capaware! is conceived as a system of 3D terrain representation with multilayer representation of diverse types of resources capabilities and executed applications integration feature.

With OpenSceneGraph as the graphical engine, Capaware! enables the creation and modification of new layers of data through access to remote servers where they are. Moreover, the system can be completed with new features and programmed executables through the use of specific plugins. In this way we can gradually increase the power of the final system.