[{"COMMENT":"desktop geographical information system","COMMENT_MATCH":"desktop geographical information system","DESCRIPTION":"QGIS aims to be an easy to use GIS, providing common functions and\nfeatures. The initial goal was to provide a GIS data viewer, but now\nit also permits to edit, create and analyze lots of spatial datas.\nQGIS supports a number of raster and vector data formats, with new\nsupport easily added using the plugin architecture.\nSupported formats are :\n- spatially-enabled PostgreSQL tables using PostGIS.\n- most vector formats supported by the OGR library, including ESRI\n  shapefiles, MapInfo, SDTS and GML.\n- raster formats supported by the GDAL library, such as digital\n  elevation models, aerial photography or landsat imagery.\n- online spatial data served as OGC-compliant WMS or WFS.\n","DESCR_MATCH":"<strong>QGIS<\/strong> aims to be an easy to use GIS, providing common functions and<br \/>features. The initial goal was to provide a GIS data viewer, but now<br \/>it also permits to edit, create and analyze lots of spatial datas.<br \/><strong>QGIS<\/strong> supports a number of raster and vector data formats, with new<br \/>support easily added using the plugin architecture.<br \/>Supported formats are :<br \/>- spatially-enabled PostgreSQL tables using PostGIS.<br \/>- most vector formats supported by the OGR library, including ESRI<br \/>  shapefiles, MapInfo, SDTS and GML.<br \/>- raster formats supported by the GDAL library, such as digital<br \/>  elevation models, aerial photography or landsat imagery.<br \/>- online spatial data served as OGC-compliant WMS or WFS.<br \/>","FULLPKGNAME":"qgis-3.44.3","FULLPKGPATH":"geo\/qgis","HOMEPAGE":"https:\/\/www.qgis.org\/"},{"COMMENT":"desktop geographical information system","COMMENT_MATCH":"desktop geographical information system","DESCRIPTION":"QGIS aims to be an easy to use GIS, providing common functions and\nfeatures. The initial goal was to provide a GIS data viewer, but now\nit also permits to edit, create and analyze lots of spatial datas.\nQGIS supports a number of raster and vector data formats, with new\nsupport easily added using the plugin architecture.\nSupported formats are :\n- spatially-enabled PostgreSQL tables using PostGIS.\n- most vector formats supported by the OGR library, including ESRI\n  shapefiles, MapInfo, SDTS and GML.\n- raster formats supported by the GDAL library, such as digital\n  elevation models, aerial photography or landsat imagery.\n- online spatial data served as OGC-compliant WMS or WFS.\n","DESCR_MATCH":"<strong>QGIS<\/strong> aims to be an easy to use GIS, providing common functions and<br \/>features. The initial goal was to provide a GIS data viewer, but now<br \/>it also permits to edit, create and analyze lots of spatial datas.<br \/><strong>QGIS<\/strong> supports a number of raster and vector data formats, with new<br \/>support easily added using the plugin architecture.<br \/>Supported formats are :<br \/>- spatially-enabled PostgreSQL tables using PostGIS.<br \/>- most vector formats supported by the OGR library, including ESRI<br \/>  shapefiles, MapInfo, SDTS and GML.<br \/>- raster formats supported by the GDAL library, such as digital<br \/>  elevation models, aerial photography or landsat imagery.<br \/>- online spatial data served as OGC-compliant WMS or WFS.<br \/>","FULLPKGNAME":"qgis-3.44.3-qt6","FULLPKGPATH":"geo\/qgis,qt6","HOMEPAGE":"https:\/\/www.qgis.org\/"},{"COMMENT":"mesh data abstration library","COMMENT_MATCH":"mesh data abstration library","DESCRIPTION":"Mesh Data Abstraction Library (MDAL) is a C++ library for handling unstructured\nmesh data released with MIT license. It provides a single data model for\nmultiple supported data formats. MDAL is used by QGIS for data access for mesh\nlayers.\n","DESCR_MATCH":"Mesh Data Abstraction Library (MDAL) is a C++ library for handling unstructured<br \/>mesh data released with MIT license. It provides a single data model for<br \/>multiple supported data formats. MDAL is used by <strong>QGIS<\/strong> for data access for mesh<br \/>layers.<br \/>","FULLPKGNAME":"mdal-1.3.1p0","FULLPKGPATH":"geo\/mdal","HOMEPAGE":"https:\/\/www.mdal.xyz\/"},{"COMMENT":"geospatial routing extension for PostgreSQL","COMMENT_MATCH":"geospatial routing extension for PostgreSQL","DESCRIPTION":"pgRouting extends the PostGIS \/ PostgreSQL geospatial database to provide\ngeospatial routing functionality.\n\nAdvantages of the database routing approach are:\n\n* Data and attributes can be modified by many clients, like QGIS and\n  uDig through JDBC, ODBC, or directly using Pl\/pgSQL. The clients can\n  either be PCs or mobile devices.\n* Data changes can be reflected instantaneously through the routing\n  engine. There is no need for precalculation.\n* The \"cost\" parameter can be dynamically calculated through SQL and its\n  value can come from multiple fields or tables.\n","DESCR_MATCH":"pgRouting extends the PostGIS \/ PostgreSQL geospatial database to provide<br \/>geospatial routing functionality.<br \/><br \/>Advantages of the database routing approach are:<br \/><br \/>* Data and attributes can be modified by many clients, like <strong>QGIS<\/strong> and<br \/>  uDig through JDBC, ODBC, or directly using Pl\/pgSQL. The clients can<br \/>  either be PCs or mobile devices.<br \/>* Data changes can be reflected instantaneously through the routing<br \/>  engine. There is no need for precalculation.<br \/>* The &quot;cost&quot; parameter can be dynamically calculated through SQL and its<br \/>  value can come from multiple fields or tables.<br \/>","FULLPKGNAME":"pgrouting-3.8.0","FULLPKGPATH":"geo\/pgrouting","HOMEPAGE":"https:\/\/pgrouting.org\/"}]