Search Results for "kml data"

GemGIS is a Python-based, open-source geographic information processing library. It is capable of preprocessing spatial data such as vector data (shape files, geojson files, geopackages,…), raster data (tif, png,…), data obtained from online services (WCS, WMS, WFS) or XML/KML files (soon). Preprocessed data can be stored in a dedicated Data Class to be passed to the geomodeling package GemPy in order to accelerate the model-building process. Postprocessing of model results will allow export from GemPy to geoinformation systems such as QGIS and ArcGIS or to Google Earth for further use.

Viking is a free/open source program to manage GPS data. You can import, plot and create tracks, routes and waypoints, show OSM, Bing Aerial and other maps, geotag images, create routes using OSRM, see real-time GPS position (not in Windows), make maps using Mapnik (not in Windows), control items, etc. It is written in mostly in C (with some C++) & the GTK+3 toolkit. Viking is currently dual managed - with a corresponding Github presence...

GeoTools is an open source (LGPL) Java code library which provides standards compliant methods for the manipulation of geospatial data. GeoTools is an Open Source Geospatial Foundation project. The GeoTools library data structures are based on Open Geospatial Consortium (OGC) specifications.

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GpsPrune is a java application to view and manage coordinate data, eg from GPS units. With it you can load a variety of text and Xml formats, view the data (in 2d and 3d), edit and convert the data, correlate photos and audio, create charts and more.

Tool for annotating (bike race) videos with data from GPS devices to display time, distance, speed, power, HR, CAD, elevation, laps. Outputs a series of SVG files importable as image sequence into the OpenShot Video editor as overplayed video track.

A generic geospatial analysis and viewing capability using Perl scripts that provides the foundation and structure for readily creating KML data files from disparate data sources. KML files can be read and viewed by Google Earth and other tools.

This object-oriented python module converts 3D VRML models into Collada and integrates it in Google Earth (GE) through the Keyhole Markup Language (KML). It enables the visualisation of large scale aerial/satellite images in the Geo Browser.

This is a collection of Python functions, with which data can be exported from the Python environment to a file which can be viewed in GoogleEarth.