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The development philosophy of ecoGeometeR is to simply provide access in R to efficient computational geometry algorithms that have a wide range of applications in ecology. By keeping the functionality of ecoGeometeR at this lower level gives ecologists maximum flexibility in how to use computational geometry in their work, and also makes maintenance of the package easier as the number of dependencies can be minimised.

By not providing bespoke functions that apply computational geometry algorithms to specific ecological tasks does however mean that ecologists will need to do some extra work, including using other packages, to make use of ecoGeometeR's functionality in their computational analyses. So to help ecologists use ecoGeometeR these wiki pages provide a cookbook of code 'recipes' that show how to use computational geometry for different ecological questions. Ecologists are free to learn from, adapt, and reuse these recipes in their own work - and we would welcome submissions of new recipes!

The ecoGeometeR cookbook

To try and make finding useful code recipes easier, the different ways ecoGeometeR computational geometry functionality can be applied in ecology has been broken into several categories:

Niche Modelling

• Convex hull fundamental niche model

Range modelling

• Alpha-shape range
• AOO and EOO - maybe?

Spatial network modelling

• Delaunay triangulation network