Showing 33 open source projects for "dv-work"

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  • 1
    MapPanel is a minimal TileViewer for openstreet-map (or other things that work alike). MapPanel is made using the swing ui library which is included in any standard java installation and is ideal for inclusion in any swing or SWT/RCP based application. License under EPL (Eclipse Public License).
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  • 2
    vSigpac is a map viewer and a marker creator/editor, terrain and texture generator for MSTS (Microsoft Train Simulator (c)). vSigpac works primaryly with Sigpac maps/orthophotos from Spain, but it can work with others WMS compliant map servers.
    Downloads: 0 This Week
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  • 3
    The Triangulator
    The Triangulator is a simple application that lets users perform the office work involved in the surveying task of triangulation. The Triangulator aims to perform the adjustment tasks in a triangulation figure after field work.
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  • 4
    NAVolution is a Java based GIS framework with an open architecture. The framework allows to work with various map data formats, coordinate systems, etc. It also comes with MapViewer standalone application built on top of the framework.
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  • 5
    OziUtils is a collection of small utilities for OziExplorer (http://oziexplorer.com). Currently, there's one which provides "Index map" feature work-alike for OziCE.
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  • 6
    PySOS, a python-based implementation of the OGC SOS standard. PySOS is a lightweight set of scripts that work in conjunction with a web server to serve data from a relational database.
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  • 7
    Continuing development and support of KB2SCS's APRS program. The project goal is to replace the .OCX controls that will NOT work under Vista, AND port the program to .NET
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  • 8

    geoscipy

    Python-accessible toolkit for Geoscience & Remote Sensing Applications

    ...A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.
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