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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.
A cross-platform aplication to explore online free maps (OpenStreetMap). Build with python and pygame, full immersive environnement. Actually only source code, require pygame.
Create geographics maps from data in table format. Serve map creation requests using a XML-RPC server. - Requires: mapnik, swftools, MySQL server and MySQLdb python module.
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* Note: The Google Maps V2 API used by this module has been deprecated. *
For V3, consider pygeocoder: https://pypi.python.org/pypi/pygeocoder
Easy-to-use Python wrapper for the Google Maps V2 and Local Search APIs. Provides geocoding, reverse geocoding, directions, and local search.
CitySpeed is a Python package that uses online mapping services to gather statistics on the efficiency and complexity of road networks. This can be used to create maps showing how fast you can drive around a particular city.
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.