QGIS/python/plugins/processing/r/scripts/Monte-Carlo_spatial_randomness.rsx.help
Victor Olaya 7165e882cd [processing] R improvements
This commit:

Deletes Example scripts

Replaces Example scripts with more up to date versions

Adds general categories for r scripts: Basic statistics, Vector processing, Raster processing and Point pattern analysis

adds help files to all r scripts

Adds a groups of r scripts entitled Home range analysis, that includes Kernel href, LSCV Kernel, Minimum convex polygon, single linkage cluster analysis and characteristic hull method, using adehabitatHR()

Adds the following R scripts contributed by Yury Ryabov ( riabovvv(at)gmail.com ): Advanced raster histogram, Monte carlo spatial randomness, Relative distribution (distance covariate), Relative distribution (raster covariate),
2013-11-11 22:45:06 +01:00

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(dp0
S'ALG_DESC'
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VThis is a Monte Carlo test for the point patterns. It is based on simulations from the null hypothesis. It generates randomly dinstributed points within the study region and uses K-function for each set of generated points and compares them to the K-function for the original set of points. Detailed description can be found in correspondin section of this book: http://www.csiro.au/resources/pf16h.\u000a\u000aThis script will provide both graphical ('R plots') and verbose ('R console output') output.\u000a\u000aR dependencies: library "maptools" and "spatstat"
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sS'R_CONSOLE_OUTPUT'
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VDescription of the test results.
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sS'Layer'
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VPoint layer to be tested.
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sS'ALG_CREATOR'
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VYury Ryabov\u000ariabovv at gmail dot com\u000a2013\u000aGPLv3
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sS'RPLOTS'
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VGraph showing test results.
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sS'ALG_HELP_CREATOR'
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VYury Ryabov\u000ariabovv at gmail dot com\u000a2013\u000aCC-0
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sS'Simulations'
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VNumber of simulations for random points distributions. Positive integer must be provided here.
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sS'Optional_plot_name'
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VAn Optional name for the graph. It is Ok to leave this field blank.
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s.