Debian GIS Workstation packages

AVCE00은 Arcinfo (바이너리) Vector Coverages를 E00으로 표시하는 도구의 C 라이브러리 및 그룹입니다. E00 파일인것 처럼 바이너리 범위를 읽고 쓸 수 있습니다.

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.

Epsilon은 손실 이미지 압축 기반에 Wavelet용 C 라이브러리입니다. Wavelet 기 반 압축기는 (JPEG와 같은) 전통적인 DCT 기반의 압축기보다 훨씬 효율적임이 알 려졌습니다.

현재 이 프로그램은 대략 30개의 서로 다른 wavelet 필터 지원, 멀티 쓰래드 및 MPI 환경에서 병렬 실행, 거대한 이미지 처리외에도 여러가지 기능들을 지원합니다.

이 패키지는 이미지 압축/압축해제에 대한 몇몇 유용한 도구를 포함합니다.

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 is a C library that enables the user to find the country that any IP address or hostname originates from. It uses a file based database.

This database simply contains IP blocks as keys, and countries as values and it should be more complete and accurate than using reverse DNS lookups.

This package contains the command line utilities to resolve the IP numbers using the GeoIP library.

이 C 라이브러리는 지리 참조 래스터 이미지를 위한 TIFF 6.0 기반에 상호 교환 형식을 지원합니다. GeoTIFF 표준은 TIFF 래스터 상단에 지리 정보 메타 태그을 읽고 쓰기 위해 개발되어 왔습니다.

GeoTIFF 라이브러리는 두개의 유틸리티 프로그램을 포함합니다:

 listgeo - GeoTIFF 파일의 메타데이타를 덤프.
 geotifcp - TIFF 파일에 메타데이타를 적용하여 GeoTIFF 파일로 만듬.

GMT 는 사용자가 (x,y) 및 (x,y,z) 데이터 세트(필터링, 트렌드 피팅, 그리딩, 투영등을 포함)를 조작하고, 등고선 지도를 통한 단순 x-y 플롯에서 인공적으로 조명된 표면과 흑백, 회색톤, 아치 패턴, 24 비트 컬러의 3-D 투시도에 이르는 Encapsulated PostScript File (EPS) 일러스트를 생성할 수 있는 도구 모음입니다.

GMT는 많은 일반적인 지도 투영과 선형, 로그, 파워 스케일링을 지원하며 해안선, 강, 행정구역같은 지원 데이터와 함께 제공됩니다.

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.

Grace is a point-and-click tool that allows the user to draw X-Y plots. This is the program formerly known as Xmgr.

A few of its features are: User defined scaling, tick marks, labels, symbols, line styles, colors, polynomial regression, splines, running averages, DFT/FFT, cross/auto-correlation, batch mode for unattended plotting, and hardcopy support for PostScript, FrameMaker and several image formats.

GRASS로 알려진, 이 프로그램은 지리공간 데이타 관리 및 분석, 이미지 처리, 그 래픽/지도 제작, 공간 모델링, 그리고 시각화를 위한 지리학 정보 시스템(GIS) 입니다. GRASS는 현재 전세계 학술 및 상업 분야 외에도 많은 정부 기관 및 환경 컨설팅 회사들에 의해서 사용되고 있습니다.

완전한 GRASS 시스템을 얻기 위해 이 가상 패키지를 설치하십시요.

HDF5 (Hierarchical Data Format 5)은 과학 데이타를 저장하기 위한 파일 형식입 니다. 이 도구는 HDF5로 다른 형식을 변환하며, 그리고 HDF5 파일을 시작화 합니 다. 이 도구들은 아래의 특징을 포함합니다:

• h5topng, HDF5 파일의 2d 슬라이스를 추출하고, PNG 형식에 댕응하는 이미지 를 출력;

• h5totxt, 2d 슬라이스를 추출하고 (스프레드시트로 가져오기에 적합한) 콤마 로 구분된

  텍스트로 출력; - h5fromtxt, 간단한 텍스트 입력을 다차원 숫자 HDF5 데이타셋으로 변환; - h5fromh4, HDF4 데이타를 HDF5로 변환; - h5tovtk, VTK 인식 프로그램을 통한 시각화를 위해 HDF5 파일을 VTK 파일로 변환;

HDF는 주로 과학 컴퓨팅에 사용되는 그래픽 및 수치 데이타 저장 및 전송을 위한 다중 객체 파일 형식입니다. HDF는 다차원 어레이, 래스터 이미지, 테이블을 포 함하여 여러가지 서로 다른 데이타 모델을 지원합니다. 각각은 특정 집합의 데이타 타입을 정의하고 읽기, 쓰기, 및 데이타와 메타데이 타 구성을 위해 API를 제공합니다. 새로운 데이타 모델은 HDF 개발자 또는 사용 자에 의해 추가될 수 있습니다.

이 패키지는 HDF 파일을 보고, 묶고, 푸는 몇가지 기본 유틸리티를 포함합니다.

Hierarchical Data Format 5 (HDF5) is a file format and library for storing scientific data. HDF5 was designed and implemented to address the deficiencies of HDF4.x. It has a more powerful and flexible data model, supports files larger than 2 GB, and supports parallel I/O.

This package contains runtime tools for HDF5.

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).

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.

Mapnik는 GIS(Geographic Information Systems / 지리 정보 시스템) 어플리케이 션 개발용 오픈소스 C++ 툴킷입니다. 코어는 공간 데이타 접근 및 시각화를 위한 알고리즘/패턴을 제공하는 C++ 공유 라이브러리 입니다.

지리적 개체(지도, 레이터, 데이타소스, 기능, 기하학)의 모음인, 라이브러리는 기본적으로 "윈도잉 시스템"에 의존하지 않고 멀티쓰레드 환경에서 작동하도록 설계되었습니다.

이 패키지는 mapnik와 함께 배포되는 다양한 유틸리티를 포함합니다.

shapeindex: ESRI shape-files을 위한 인덱스 기반 파일 시스템을 만들기 위한 프로그램입니다.

OGDI는 Open Geographic Datastore Interface입니다. OGDI는 GIS 소프트웨어 패 키지 (어플리케이션) 및 다양한 지형 데이타 제품과 함께 작동할 수 있도록 표준 화된 엑세스 방법을 사용하는 어플리케이션 프로그래밍 인터페이스 (API) 입니 다. OGDI는 모든 TCP/IP 네트워크에 걸쳐서 지형 데이타 제품의 보급을 용이하 게 하기 위해 클라이언트/서버 아키텍쳐를 사용하며, 그리고 다양한 지형 데이 타 제품/형식에 대한 엑세스를 용이하게 하기 위해 드라이버 중심적 접근을 사용 합니다.

이 패키지는 OGDI 라이브러리에 기반한 유용한 도구를 포함합니다.

Chart Plotter and Navigational software program for use underway or as a planning tool. Developed by a team of active sailors using real world conditions for program testing and refinement. By default supports raster and vector formats like BSB and S63. Support for many other formats are available in plugins. Other plugins provides support for e. g., AIS, radar and weather maps. Application has language support in 20+ languages.

This package contains programs, libraries and some support files.

A portable, high level graphics toolkit for the development of high performance graphics applications such as flight simulators, games, virtual reality or scientific visualization. Providing an object orientated framework on top of OpenGL, it frees the developer from implementing and optimizing low level graphics calls, and provide many additional utilities for rapid development of graphics applications.

This package contains utilities and examples (binaries).

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.

PDAL은 여러 형식의 포인트 클라우드 데이타를 옮기고 조작하는 BSD 라이센스 라이브러리입니다. PDAL은 다양한 형식의 포인트 클라우드 데이타를 읽고, 쓰고, 옮기는데 사용될 수 있습니다. LAS, LAZ, SBET, BPF, QFIT 등의 입력 파일에 대한 지원을 포함합니다. 또한 PDAL은 Oracle, Pstgres, SQLite를 포함하여 포인트 클라우드 스토리지를 지원하는 데이타베이스에서 읽고 쓸 수 있습니다.

PDAL을 PCL (Point Cloud Library)와 혼동해서는 안됩니다. PCL은 포인트 클라우드의 알고리즘 분석 및 수정을 제공하도록 특별히 설계된 라이브러리입니다. PDAL은 PCL에 대한 제한된 인터페이스를 제공하지만 일반적으로 그 기능을 복제하려고 하지는 않습니다.

이 패키지는 PDAL 유틸리티를 포함합니다.

Pktools는 주로 raster geolocated 이미지에 대해 작업을 수행하는 프로그램 모음입니다. Geospatial Data Abstraction Library (GDAL) 및 OGR에 크게 의존합니다. 이 프로그램은 GDAL 도구 (dalinfo, gdal_translate, gdal_merge, ...)와 유사하며 pktools에 제공하는 일부 기능들은 이미 GDAL 도구에 있습니다.

pktools에 모든 유틸리티는 명령행 옵션을 사용하며 도움말이 내장되어 있습니다. 여기에는 편집, 변경, 자르기, 분류, 비교, 덤프, 채우기, 이미지 향상을 위한 30개가 넘는 바이너리와 원격 감지 이미지 분석 분야에서 유용한 많은 다른 일반적인 작업을 포함합니다.

PostGIS는 PostgreSQL 객체 관계형 데이타베이스에 지리 객체에 대한 지원을 추가합니다. 실제로, PostGIS는 PostgreSQL 서버를 "공간적으로 환성화"하여 ESRI의 SDE 또는 Oracle의 Spatial 확장같은 지리 정보 시스템 (GIS)의 백엔드 공간 데이타베이스로 사용할 수 있습니다. PostGIS는 OpenGI의 "Simple Features Specification for SQL"을 따릅니다.

이 패키지는 shape 및 raster 파일을 가져오고 내보내기 위한 PostGIS userland 바이너리(pgsql2shp, raster2pgsql 및 shp2pgsql)를 포함합니다.

이 스크립트는 두 개의 PostgreSQL 데이타 베이스 서버에서 가능한 큰 테이블 두 개를 네트워크 및 시간 효율적 비교 또는 동기화를 수행하여, 이러한 테이블 간에 삽입, 업데이트 또는 삭제 튜플을 감지합니다.

pprepair (planar partition repair) takes a set of polygons and ensures that they form a valid planar partition, made of valid polygons and having no gaps or overlaps. It can be used as a validator, telling of problems in individual polygons or in the planar partition, and also as an automatic repair tool, outputting a set of polygons that do form a valid planar partition.

prepair permits you to easily repair "broken" GIS polygons, and that according to the international standards ISO 19107. In brief, given a polygon stored in WKT, it automatically repairs it and gives you back a valid WKT. Automated repair methods can be considered as interpreting ambiguous or ill-defined polygons and giving a coherent and clearly defined output.

Proj 및 inproj는 선택 가능한 광법위한 투영 기능 (100가지 이상의 투영)을 사용해서 지도 제작 데이타를 직교 데이타로 또는 그 반대로 변환하는 각각의 정방향 및 역방향을 수행합니다.

Geod 및 invgeod는 초기 지점 위도, 경도, 방위각 및 거리(직접) 또는 초기 지점과 종점 위도 및 경도 사이의 전방 및 후방 방위각과 거리(역)가 주어진 종점 지점의 위도, 경도 및 후방 방위각을 결정하기 위한 측지선(대원) 계산을 수행합니다.

이 패키지는 PROJ 바이너리 도구를 제공합니다.

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 is a Python wrapper around the OGR vector data abstraction library. Fiona is designed to be simple and dependable. It focuses on reading and writing data in standard Python IO style and relies upon familiar Python types and protocols such as files, dictionaries, mappings, and iterators instead of classes specific to OGR. Fiona can read and write real-world data using multi-layered GIS formats and zipped virtual file systems and integrates readily with other Python GIS packages such as pyproj, Rtree, and Shapely.

This package provides the Python 2 API

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.

Mapnik는 GIS(Geographic Information Systems / 지리 정보 시스템) 어플리케이 션 개발용 오픈소스 C++ 툴킷입니다. 코어는 공간 데이타 접근 및 시각화를 위한 알고리즘/패턴을 제공하는 C++ 공유 라이브러리 입니다.

지리적 개체(지도, 레이터, 데이타소스, 기능, 기하학)의 모음인, 라이브러리는 기본적으로 "윈도잉 시스템"에 의존하지 않고 멀티쓰레드 환경에서 작동하도록 설계되었습니다.

이 패키지는 파이썬 2를 위한 바인딩을 포함합니다.

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 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, 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 is a Python wrapper around the OGR vector data abstraction library. Fiona is designed to be simple and dependable. It focuses on reading and writing data in standard Python IO style and relies upon familiar Python types and protocols such as files, dictionaries, mappings, and iterators instead of classes specific to OGR. Fiona can read and write real-world data using multi-layered GIS formats and zipped virtual file systems and integrates readily with other Python GIS packages such as pyproj, Rtree, and Shapely.

This package provides the 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.

A Geographic Information System (GIS) manages, analyzes, and displays databases of geographic information. QGIS supports shape file viewing and editing, spatial data storage with PostgreSQL/PostGIS, projection on-the-fly, map composition, and a number of other features via a plugin interface. QGIS also supports display of various georeferenced raster and Digital Elevation Model (DEM) formats including GeoTIFF, Arc/Info ASCII Grid, and USGS ASCII DEM.

librasterlite2는 SpatiaLite DBMS를 사용하는 거대한 래스터 커버리지를 저장하 고 검색하는 오픈소스 라이브러리입니다.

librasterlite를 완전히 대체하고 교체하기 위한 프로그램입니다. 두 프로젝트는 전혀 무관합니다: 둘 사이에 고유한 유사성은 단지 동일한 응용 분야를 포괄하는 것입니다.

이 패키지는 librasterlite2를 사용하는 명령행 도구를 포함합니다.

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.

SaVi는 2D 및 3D로 위성 궤도 및 범위를 시뮬레이션 할 수 있도록 합니다. SaVi 는 이리듐과 글로벌스타 같은 위성 별자리 시뮬레이션에 특히 유용합니다.

SaVi는 3D 렌더링을 위해 옵션이지만 유용한 패키지인, Geomview를 사용할 수 있 습니다.

SpatiaLite 확장은 WKT 및 WKB 형식 모두에 있어, OpenGis 사양을 준수하는 방식 으로 공간 (기하학) 데이터를 지원하도록 SQLite를 활성화합니다.

Spatialite는 또한 가상 테이블에서 shapefile 및 csv/text 파일 액세스를 활성 화하도록 Virtualshape 및 Virtualtext를 포함합니다.

이 패키지는 SQLite 데이터베이스를 관리하기 위한 유용한 도구를 포함합니다.

spatialite-gui는 SpatiaLite용 그래픽 사용자 인터페이스 (GUI) 입니다.

SpatiaLite는 WKT 및 WKB 형식 모두에 있어, OpenGis 사양을 준수하는 방식으로 공간 (기하학) 지원을 활성하는 SQLite 확장입니다.

Spatialite는 또한 가상 테이블에서 shapefile 및 csv/text 파일 액세스를 활성 화하도록 Virtualshape 및 Virtualtext를 포함합니다.

"staedl"이라고 발음하는 스트리밍 ETL, stetl은 풍부한 (GML) 지리 공간 데이타의 변환을 위한 경량의 ETL-프레임워크 입니다.

기본적으로 GDAL/ORG (org2orr) 및 XSLT 같은 기존 구문 분석 및 변환도구를 함께 결합합니다. (Python lxml을 통해) stetl은 libxml 및 libxslt 같은 기본 도구를 사용해서 속도에 최적화 되었습니다.

stetl은 Spring (Java) 및 IoC (Inversion of Control)을 기반으로 하는 기타 최신 프레임워크와 유사한 디자인을 가지고 있습니다. 구성 파일 (Python 구성 형식)은 ETL 단계 체인을 지정합니다. 이 체인은 일련의 Python 모듈/객체 및 해당 매개변수로 구성됩니다. 이는 구성 파일에서 기호로 지정됩니다. 설정 파일을 사용해서 기본 프로그램인 etl.py을 호출하면 됩니다. 설정 파일은 입력 모듈 (예, PostGIS), 변환기 (예, XSLT) 및 출력 (예, GML 파일 또는 GML을 서버에 게시하기 위한 지리 공간 프로토콜인 WFS-T)을 지정합니다.

이 패키지는 stetl 유틸리티를 포함합니다.

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, a cartographic projection library, for easy use in Perl software.

The Open Source PROJ 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).

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.

Contains the programs ncdump and ncgen which convert NetCDF files to ASCII and back, respectively. NetCDF (network Common Data Form) is an interface for scientific data access and a freely-distributed software library that provides an implementation of the interface. The netCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data.

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.

s3d는 3d 데스크탑 환경에 사용되는 3d 네트워크 디스플레이 서버입니다.

이 패키지는 s3d용 gps 카드 어플리케이션을 제공합니다.

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.

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.