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OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.
TerraLook provides access to satellite images for users that lack prior experience with remote sensing or Geographic Information System (GIS) technology by combining collections of images with a set of simple visualization and analysis tools.
Liegkat-Archiv delivers ALK converters for spatial data formats (EDBS, BGRUND, SQD, DFK, HK) and coordinate systems used in German cadastral agencies before ALKIS into KML and JML. It delivers Python packages and XSL files.
QGis Python Plugin to create named map themes to switch the visibility of all layers belonging to theme.
Experimental working prototype with functionality to include in future version of QGIS.
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Directory of geoinformational data and metadata, like georeferenced list of streets in your city, or list of known nomenclature map tiles, and tools to process this data.
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PyMemorial is a tool to generate cadastral survey documentation using brazilian's INCRA standards.
Completely written in Python it aims to be a simple way to produce all documents following the most current legislation.
Version 0.2 of orphaned pyLAS from google code repository. Now written as both a command line executeable and as a python class for extension/intergration with other projects.
Tool kit for moving KML formatted Geospatial data into and out of other GIS packages such as ESRI ArcGIS, PostGIS, etc Supports reading and writing Google Earth files via Python and other GIS packages.
This is a Python interface for reading and writing Magellan GPS unit map files. There is also a command line tool for creating GPS maps from OpenStreetMap data.
TransimsGui and makeTransims allow users to automatically generate triptables, timetables and vehicle files, edit individual control files, create batch files for transims feedback processes, run exe-control file pairs and run batch files.
This script analyzes a GPS-tracklog to find the position where digital images were taken. It's main objectives are to embed this position into the EXIF-data and to display the images in Google Earth.
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.
View and navigate on raster map with GPS. I want to use it in offroad expeditions. Import oziexplorer raster map. Use GDAL readable format, geotiff is preferred. Import/export data to GPX format. Using python scripts for core AI tasks.