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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),
43 lines
1.4 KiB
Plaintext
43 lines
1.4 KiB
Plaintext
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S'ALG_DESC'
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p1
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VThis algorithm creates a graph that demonstrates the dependency of the intensity of the point process on the value of covariate. In this algorithm the covariate is the distance to the certain objects. The functionality is based on 'rhohat' function of the 'spatstat' package. \u000a\u000aR dependencies: library "maptools", "spatstat" and "rpanel".
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sS'ALG_CREATOR'
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VYury Ryabov\u000a2013\u000ariabovvv@gmail.com
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sS'Layer'
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VThe point process which distribution will be investigated.
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p6
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sS'Covariate_name'
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VThis field is mandatory. Enter the name of the covariate. It will appear at the graph.
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sS'Legend_position'
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p9
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VThis field defines the position of the legend at the graph. 'float' means that the legend will be placed at the position that would not overlap the graph itself (or will try at least). Other options are: 'topleft', 'topright', 'bottomleft', 'bottomright'.
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sS'x_label'
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p11
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VOptional label for the X axis. Note that units at the X axis will be the same as in the input layers.
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p12
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sS'RPLOTS'
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VThe empirical graph of the dependency of the intensity of the point process on the distance to the given objects.
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sS'ALG_HELP_CREATOR'
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p15
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VYury Ryabov\u000a2013\u000ariabovvv@gmail.com
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p16
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sS'Plot_name'
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p17
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VOptional plot name.
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p18
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sS'Covariate'
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p19
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VThe set of objects the distance from which will be calculated and used as a spatial covariate to the point process.
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p20
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s.
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