What is Biomapper?

Biomapper is a kit of GIS- and statistical tools designed to build habitat suitability (HS) models and maps for any kind of animal or plant. It is centred on the Ecological Niche Factor Analysis (ENFA) that allows to compute HS models without the need of absence data.

  More precisely, it can deal with the following tasks:

  • Preparing the ecogeographical maps in order to use them as input for the ENFA (e.g. computing frequency of occurrence map, standardisation, masking, etc.)
  • Exploring and comparing them by mean of descriptive statistics (distribution analysis, etc.)
  • Computing the Ecological Niche Factor Analysis and exploring its output.
  • Computing a Habitat Suitability map
  • Evaluating  it
Biomapper is designed to be autonomous but as it uses the same file format as the GIS software Idrisi, they can transparently work in conjunction.
  • Biomapper doesn't need absence data. Yes I already said this but it is a very important and rare property and it is worth to be repeated again and again.
  • Biomapper can be installed on any PC running Windows 95, Windows NT 4.0 or later, with at least 5 Mb free on the hard disk.
  • You don't need Idrisi to work with Biomapper.
  • Biomapper was designed with huge files in mind. It was actually tested with up to 30 maps of 32 Mb each. As far as I know, the only limitations are the free memory of your computer, the size of your hard disk and the amount of your patience!
  • I tried to make it easy to understand and practical. So far, actual users seemed fairly able to make their way through it. A help file give a few information and an extensive step-by-step modus operandi.
  • Biomapper is at a late stage of beta-testing. It means that it is continuously improved, new features are regularly added (I could even decide to implement something you specially need) and that it is not bug-free (but it was nevertheless thoroughly tested by several users including myself).
  • Biomapper and its central statistical procedure, ENFA, are brand new (Hirzel et al., in revision).
  • The ENFA proved to produce highly accurate results even with poor input data. In fact, it is quite robust to data quality and quantity (Hirzel et al., in revision)
  • It is based on presence data only.

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Updated 07.02.2007