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Enterprise-grade platform designed to connect strategy, planning, and execution across digital product development and software delivery
Planview links your technology vision directly to teams' daily work, providing complete visibility and control over your digital product delivery ecosystem.
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.
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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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.
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.
* 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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Plan more projects with Worksection. Use Gantt chart and Kanban boards to organize your projects, get your team onboard and assign tasks and due dates.
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.
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.
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 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.
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.
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.
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.
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.
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.
NOTE: Use Fltk_Contour insted this code! FMesh is a simply scientific data visualization tool based on OpenGL. FMesh can generate 2D and 3D graph of contour and color maps for any (x,y,z) scattered data set, many other options are included.
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.