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This package provides a GTK+ widget (and Python bindings) that when given GPS coordinates,draws a GPS track, and points of interest on a moving map display. Downloads map data from a number of websites, including https://www.openstreetmap.org.
Memphis is a map-rendering application and a library for OpenStreetMap written in C using eXpat, Cairo and GLib.
XyGrib is a Grib file reader and visualizes meteorological data providing an off-line capability to analyse weather forecasts or hindcasts. It is intended to be used as a capable weather work station for anyone with a serious interest in examining weather. This would include members of the sailing community, private and sport aviators, farmers, weather buffs and many more. XyGrib is the continuation of the zyGrib software package with a new team of volunteers.
This package provides a Python bindings for H3, a hierarchical hexagonal geospatial indexing system
Libaec provides fast lossless compression of 1 up to 32 bit wide signed or unsigned integers (samples). The library achieves best results for low entropy data as often encountered in space imaging instrument data or numerical model output from weather or climate simulations. While floating point representations are not directly supported, they can also be efficiently coded by grouping exponents and mantissa.
This package provides python-overpass, a Python wrapper for the OpenStreetMap Overpass API.
OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.
This package provides functions to calculate the distance in various units between two points on Earth using their latitude and longitude.
PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL. This package provides a PostgreSQL extension.
Tippecanoe creates scale-independent view of data, so that the texture and density of features is visible at every zoom level, instead of dropping features at lower levels.
VirtualPG is a dynamic extension for the SQLite DBMS. It implements the VirtualPostgres driver, allowing to directly exchange data between SQLite and PostgreSQL; if SpatiaLite is available even PostGIS geometries can be exchanged form one Spatial DBMS and the other.
The RT Topology Library exposes an API to create and manage standard (ISO 13249 aka SQL/MM) topologies using user-provided data stores.
QGIS is an easy to use Geographical Information System (GIS). It is a GIS data viewer and editor. QGIS supports a number of raster and vector data formats, with new support easily added using the plugin architecture.
CloudCompare is a 3D point cloud (and triangular mesh) processing software. It was originally designed to perform comparison between two 3D point clouds (such as the ones obtained with a laser scanner) or between a point cloud and a triangular mesh. It relies on an octree structure that is highly optimized for this particular use-case. It is also meant to deal with huge point clouds.
H3 is a geospatial indexing system using a hexagonal grid that can be (approximately) subdivided into finer and finer hexagonal grids, combining the benefits of a hexagonal grid with S2's hierarchical subdivisions.
Verde is a Python library for processing spatial data (topography, point clouds, bathymetry, geophysics surveys, etc) and interpolating them on a 2D surface (i.e., gridding) with a hint of machine learning.
This package provides units of measure as required by the Climate and Forecast (CF) metadata conventions. Provision of a wrapper class to support Unidata/UCAR UDUNITS-2 library, and the cftime calendar functionality.
ObsPy is a project dedicated to provide a Python framework for processing seismological data. It provides parsers for common file formats, clients to access data centers and seismological signal processing routines which allow the manipulation of seismological time series.
The goal of the ObsPy project is to facilitate rapid application development for seismology.
Navit is a car navigation system with a routing engine.
It is meant to work with touchscreen devices, but it also works without a touchscreen. It also supports text to speech.
It can be configured extensively through its own configuration file format. For instance we can configure the graphical interface, and which map data is to be displayed at which zoom level.
It supports different routing profiles: bike, car, car_avoid_toll, car_pedantic, car_shortest, horse, pedestrian, truck.
It can use gpsd or NMEA GPS directly to get position data. It also works without GPS: in this case users can also enter position data directly.
It can also be used to log GPS data to files using the GPX or NMEA formats, or to replay NMEA data.
For maps, it can uses its own "binfile" map format, or Garmin map file format, and data from OpenStreetMap, Garmin maps, Marco Polo Grosser Reiseplaner, Routeplaner Europa 2007, Map + Route.
The goal of GeoPandas is to make working with geospatial data in Python easier. It combines the capabilities of Pandas and Shapely, providing geospatial operations in Pandas and a high-level interface to multiple geometries to Shapely. GeoPandas enables you to easily do operations in Python that would otherwise require a spatial database such as PostGIS.
Imposm is an importer for OpenStreetMap data. It reads PBF files and imports the data into PostgreSQL/PostGIS databases. It is designed to create databases that are optimized for rendering/tile/map-services.
Fiona is GDAL’s neat and nimble vector API for Python programmers. 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.
The purpose of this library is to provide:
An extensible framework that will support robust spatial indexing methods.
Support for sophisticated spatial queries. Range, point location, nearest neighbor and k-nearest neighbor as well as parametric queries (defined by spatial constraints) should be easy to deploy and run.
Easy to use interfaces for inserting, deleting and updating information.
Wide variety of customization capabilities. Basic index and storage characteristics like the page size, node capacity, minimum fan-out, splitting algorithm, etc. should be easy to customize.
Index persistence. Internal memory and external memory structures should be supported. Clustered and non-clustered indices should be easy to be persisted.
GPlates is a plate tectonics program. Manipulate reconstructions of geological and paleogeographic features through geological time. Interactively visualize vector, raster and volume data.