Showing 32 open source projects for "graphical data"

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  • 1
    Viperfish is intended for the sailor looking to improve his weather forecasting. Viperfish provides the ability to visualise and modify GRIB (weather prediction) files, it can plot routes and provides routing based on coming weather and boat performance.
    Downloads: 0 This Week
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  • 2
    WW2D allows you to explore Earth using satellite imagery, topographic maps and image from other data sources also providing large placenames and boundaries database and allowing you to install community-made add-ons for even more info about our planet.
    Downloads: 0 This Week
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  • 3
    A tool for decoding and presenting Geotechnical Sounding data (such as CPTu). Formats supported are the SGF standard as defined by the Swedish Geotechnical Society (www.sgf.net), and used by a number of commercial products, aswell as Generic text
    Downloads: 0 This Week
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  • 4
    A project to display the health of local environment on maps. Environmental data from mobile phones uploaded to a website will display CO2, VOC's, Temp. & atmospheric data & particulates. Anonymous climate data will be publicly available.
    Downloads: 0 This Week
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  • 5

    AndroidCam

    AndroidCam converts an Android device into a time-lapse camera

    AndroidCam is an Android App which provides the ability to turn a mobile device into an intervalometer for collecting time-lapse images. Image capture can be triggered using time based scheduling or in response to data thresholds monitored by the app (e.g. temperature, location, windspeed, etc) Data collection is performed via IOIO connection and the new ADK. Remote synchronization upload of images can be scheduled and performed via SCP.
    Downloads: 0 This Week
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  • 6
    Xenophon transfers the log of your wintec wbt-201 gps data logger to your mobile phone. The logfiles are written in wintec's .tk1 format. They can thus be further processed by gpsbabel or timemachineX on your pc.
    Downloads: 0 This Week
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  • 7
    This tool helps users for placing sensor nodes on smart highways and collecting data from the nodes. It optimizes the placement of sensor nodes on road, a critical issue that affects both the cost and detection capability of a sensor network.
    Downloads: 0 This Week
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