Search Results for "python data analysis" - Page 3
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Showing 112 open source projects for "python data analysis"
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A simple and still alpha Python script to extract features out of an OpenStreetMap (OSM) file into basic Keyhole markup language (KML)
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Siafu simulates individual agents and their context, from home to city-wide scenarios. As a developer, you use the API to write your simulation for the purposes of data-set generation, test or visualization, optionally hooking it to your own application.
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Scripts and tools for OpenStreetMap (osm) Sample maps can be found at : <http://www.leretourdelautruche.com/map/index.html>
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itrackutil can be used to download and convert data from XAiOX iTrackU GPS data loggers and compatible devices. Device settings can be checked and changed via the graphical user interface.
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This project is aimed at being able to log information from a NMEA gps in the back ground for later data analysis. It also has the ability to convert the raw log data into a Google Earth KML file for viewing.
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Customizable Observation Video imagE Record. COVER software has been designed and developed by Ifremer / LEP in complement of existing software for underwater vehicle videos/photos analysis.
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Ertha is an open source GIS whose main focus is to guarantee easy extensibility and straightforward integration of custom modules. It provides basic geographic rendering and topologic analysis and exposes the main data structures loaded from shapefiles.
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photo organizer for picasa web album, photo geolocation from gpx data, kml builder including link to picasa web photo album
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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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Preparation of GPS routes and analysis of GPS logs in the context of outdoor sports (biking, skiing, trecking, gliding, geocaching, mountaineering). Our hope is to have a multi platform, multi GPS file and map format software.
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A cross-platform aplication to explore online free maps (OpenStreetMap). Build with python and pygame, full immersive environnement. Actually only source code, require pygame.
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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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gpsdb automatically generates websites from your gps track files, enabling you to quickly and easily share your gps data.
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Starting from various input files, we parse to find a list of addresses, then display them on a map.
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googlemaps
Python wrapper for Google Maps V2 API
* 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. -
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FlexGIS allows end-users to perform basic geospatial analysis in a Flash frontend, without having to be familiar with standard GIS tools. Users can combine layers on-the-fly, to create advanced data visualizations. Note: Source code has been moved to GitHub (so people can submit pull requests if they've modified code and want to share). https://github.com/rvaidya/FlexGIS
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Converts kml files (Google Earth) to wpt format (OziExplorer waypoint file). Written in Python, thus you'll need a Python interpreter to run the soft.
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ViSoR provides a visualization of several social indicators, statistics and crimes for the Ruhr Area in Germany. It allows users to view and compare particular suburbs or regions in this area.
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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.
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Syntax2D is a suite of tools for urban and architectural spatial analysis developed at the University of Michigan. It includes space syntax measures of isovists, axial maps, and visibility graphs, with some newer features such as path-based measures.
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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.
