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|qgis-3.30.0||desktop geographical information system||QGIS aims to be an easy to use GIS, providing common functions and
features. The initial goal was to provide a GIS data viewer, but now
it also permits to edit, create and analyze lots of spatial datas.
QGIS supports a number of raster and vector data formats, with new
support easily added using the plugin architecture.
Supported formats are :
- spatially-enabled PostgreSQL tables using PostGIS.
- most vector formats supported by the OGR library, including ESRI
shapefiles, MapInfo, SDTS and GML.
- raster formats supported by the GDAL library, such as digital
elevation models, aerial photography or landsat imagery.
- online spatial data served as OGC-compliant WMS or WFS.
|mdal-1.0.1||mesh data abstration library||Mesh Data Abstraction Library (MDAL) is a C++ library for handling unstructured
mesh data released with MIT license. It provides a single data model for
multiple supported data formats. MDAL is used by QGIS for data access for mesh
|pgrouting-3.4.2||geospatial routing extension for PostgreSQL||pgRouting extends the PostGIS / PostgreSQL geospatial database to provide
geospatial routing functionality.
Advantages of the database routing approach are:
* Data and attributes can be modified by many clients, like QGIS and
uDig through JDBC, ODBC, or directly using Pl/pgSQL. The clients can
either be PCs or mobile devices.
* Data changes can be reflected instantaneously through the routing
engine. There is no need for precalculation.
* The "cost" parameter can be dynamically calculated through SQL and its
value can come from multiple fields or tables.