Showing 34 open source projects for "spatial"

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  • 1
    EnvStats

    EnvStats

    An R Package for Environmental Statistics

    ...Also included are numerous built-in data sets from regulatory guidance documents and the environmental statistics literature. EnvStats combined with other R packages (e.g., for spatial analysis) provides the environmental scientist, statistician, researcher, and technician with tools to “get the job done!”
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  • 2

    ANDS SISS (DC4B) Project

    GIS-Enabled Infrastructure for Spatially Integrated Social Science

    An on-line GIS-enabled infrastructure for spatially integrated social science. A web-based open source e-research facility for social-spatial data analysis that incorporates GIS-enabled visualisation (mapping and classification) and statistical modelling capabilities.
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  • 3
    gsdview
    Geo-Spatial Data Viewer (GSDView) is a lightweight viewer for geo-spatial data and products. It is written in python and Qt4 and uses the GDAL library. GSDView is modular and has a simple plug-in architecture.
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  • 4
    Desktop application for managing spatial metadata.
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  • 5
    Spatial Knowledge Base is a web based application for storing and searching of archaeological sites information. The software was written to improve access to cultural heritage information though the use of digital archiving, search technology, and GIS.
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  • 6
    Space Time Analysis of Regional Systems: Combines a suite of geocomputational and dynamic visualization modules for the exploratory analysis of data measured for spatial and temporal units.
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  • 7
    TacitPixel is a scalable C++ framework for building application prototypes for interactive collaborative VR/AR applications. It provides a number of features that make prototyping fast and portable. TacitPixel is the successor of the TAP and Twisted Pair engines.
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  • 8
    A simple, cross-browser, OGC WMS client that may be included into any HTML page that might be enhanced by dynamic rendering of geo-spatial data.
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  • 9
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due to its modular architecture, the software can easily be extended with new processing nodes and more general operations. Large scale empirical investigations can be configured using simple text- configuration files in the YAML format, executed on different (distributed) computing modalities, and evaluated using an interactive graphical user interface. ...
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