00_rangeMapper: rangeMapper: A platform for the study of macroecology of life...

In rangeMapper: A platform for the study of macroecology of life history traits

Description

rangeMapper is a front end platform for the study of macroecology of life history traits at both inter-specific and assemblage levels.

Details

The package uses species range (extent-of-occurrence) vector polygons and life history traits data-sets to build up maps (e.g. species richness, mean body mass, ...).
rangeMapper comes with an user-friendly platform-independent tcltk graphical user interface.

Getting Started

For a quick start open the graphical user interface (gui) by typing rangeMapper(). Mouse over the buttons to see further notes (tool-tips) regarding each step.
A tutorial can be accessed from Help/‘Get started’ under the gui or by browsing the ‘doc’ package directory.
See also the example below in the examples section on how to use rangeMapper from the command line.

The rangeMapper pipeline

• Initiate a new project (an empty sqlite database) using a pre-defined template.

• Extract/define the global bounding box of all selected range maps.

• Generate a regular grid (the canvas) using the previously constructed global bounding box.

• Perform polygon-grid overlay of all selected range maps.

• Optionally compute pre-defined or user-defined range structure indexes.

• Optionally import non-spatial data to be mapped at each grid cell (data are saved as a 'BIO' table to database).

• Optionally import georeferenced raster files.

• Compute a chosen statistical model at each grid cell optionally using complex subsets.

• Save, plot, export the MAP-s.

Author(s)

Mihai Valcu [e-mail], http://orn.mpg.de/mitarbeiter/valcu.html
James Dale [e-mail], http://quelea.net

References

Valcu, M., Dale, J. and Kempenaers, B. (2012) rangeMapper: A platform for the study of macroecology of life history traits. 21(9). (DOI: 10.1111/j.1466-8238.2011.00739.x)

See Also

rangeMap.save.

Examples

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rangeMapper()

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rangeMapper documentation built on May 2, 2019, 5 p.m.