data: This is a generic data environment that provides some demo...

In ShapePattern: Tools for Analyzing Shapes and Patterns

This is a generic data environment that provides some demo data and control functionality.

Description

This is a generic data environment that provides some demo data and control functionality. for the operation of functions within this package. Two imported shapefiles are provided. One is the perimeter of a pond, the second is the same pond but with the internal islands (holes) included. There are demo images for comparing class patterns, a matrix of Whittle correction factors, and some additional interal objects that hold settings for the functions to operate properly.

Usage

data("data")

Format

The lake outlines (p4is and p4no) are in imported shapefile format; they were imported using rgdal:readOGR. The demo images for class-level pattern comparison (demoimage1 and demoimage2) are matrix objects. DIFF50 is a matrix of Whittle correction factors (which should not be modified unless the user is certain that this needs to be done). The current factors are designed for 64x64 cell landscape subsets; corrections for other sizes can be constructed with build.lut; this can take a very long time! The raster 'rst' can be used for testing the porosity function.

Details

Details of the individual objects are best obtained using str().

Source

These pond perimeters were digitized in-house by Connie Ko at York University; other materials were produced by Tarmo K. Remmel.

References

There are no references for these data elements.

Examples

data(data)
plot(data$p4no)
plot(data$p4is)
print(data$DIFF50)
image(data$demoimage1)
image(data$demoimage2)
plot(data$rst)

ShapePattern documentation built on Aug. 22, 2023, 9:13 a.m.