Search Results for "python data analysis" - Page 3
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Showing 89 open source projects for "python data 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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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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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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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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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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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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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.
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This is a web based disease monitoring for monitoring diseases like chikungunya, malaria - reported by hospitals in a district, county, state or country. There is a reporting & analysis module and a GIS module which displays the data using google maps.
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This project focuses on developing geo-visual analytic (GVA) approaches (including both visual and computational methods) to explore spatio-temporal and multivariate patterns (STAMP).
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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.
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geolocate is a front-end java program that works with google maps to provide dynamic maps to users. Combined with the flexibility of XML and the power of javascript, users can see various relationships on their map to draw conclusions.
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Special Population Planner: A GIS-based emergency planning tool for all-hazards analysis. It is tailored for planning for the needs of persons with special needs, but can be easily adapted to other uses. It runs within ESRI ArcGIS 9.1 to 9.3.0.
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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.
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HidroSIG is a GIS that supports raster and vectorial maps with modules oriented to the hydrological analysis, time series, remote sensing and more. It has been made 100% in java using VisAD for data visualization and using MySQL to storage all data.
