# This file contains metadata for your plugin. Since
# version 2.0 of QGIS this is the proper way to supply
# information about a plugin. The old method of
# embedding metadata in __init__.py will
# is no longer supported since version 2.0.

# This file should be included when you package your plugin.# Mandatory items:

[general]
name=Differential Privacy
qgisMinimumVersion=2.0
description=Methods for anonymizing data for public distribution
version=0.5.1
author=Henry Walshaw
email=henry.walshaw@spatialvision.com.au

about=This QGIS Processing provider plugin implements different methods for the
    anonymization of spatial data (typically point samples) with the goal of making
    the data publicly available, while preserving the privacy of the individuals
    whose information the dataset contains (see [3]).

    The differential privacy algorithm is based on the algorithm outlined in [1]
    and implemented by Konstantinos Chatzikokolakis in the Location Guard
    browser extension [2]. The grid based masking system is discussed in [4].

    Credits

    [1] Andrés, M.E., Bordenabe, N.E., Chatzikokolakis, K., and Palamidessi, P.
    2013. 'Geo-indistinguishability: Differential Privacy for Location-Based
    Systems', In the Proceedings of the 2013 ACM SIGSAC conference on Computer
    and Communications Security (CCS'13). New York, New York, USA: ACM Press,
    pp. 901–914.

    [2] https://github.com/chatziko/location-guard

    [3] Dwork, C. & Roth, A., 2014. The Algorithmic Foundations of Differential
    Privacy. Foundations and Trends® in Theoretical Computer Science, 9(3-4),
    pp.211–407.

    [4] Seidl, D.E., Jankowski, P. & Tsou, M.-H., 2015. Privacy and spatial
    pattern preservation in masked GPS trajectory data. International Journal of
    Geographical Information Science, 30(4), pp.785–800.

    Toucan by Lane F. Kinkade from the Noun Project
    https://thenounproject.com/term/toucan/166080

tracker=https://github.com/SpatialVision/differential_privacy/issues
repository=https://github.com/SpatialVision/differential_privacy
# End of mandatory metadata

# Recommended items:

# Uncomment the following line and add your changelog:
changelog=0.5.1 (15th March 2016) Add an x and y offset for the grid tool.

    0.5.0 (14th March 2016): Add grid based anonymisation method to the
    tool.

    0.4.0 (5th November 2015): Add option to limit shift distance to the 95%
    confidence interval.

    0.3.0 (4th November 2015): Add the 95% confidence as an output of the
    displacement tool, to be used (for example) as an input to a buffer operation.

    0.2.0 (4th November 2015): Add the displacement lines testing tool.

    0.1.0 (3rd November 2015): Initial version with independent anonymization of
    points only.

# Tags are comma separated with spaces allowed
tags=analysis, point, metadata, statistics

homepage=https://github.com/SpatialVision/differential_privacy
category=Analysis
icon=icons/toucan.png
# experimental flag
experimental=True

# deprecated flag (applies to the whole plugin, not just a single version)
deprecated=False

