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Predicting macrovegetation distribution - which data do you need?

Because predictive mapping of the distribution of vegetation using statistical methods are based on data, the reliability of any models and subsequent maps are completely dependent on the quality of data!

The reliability of models predicting the distribution of vegetaion is affected by the quality of data on vegetation (“response data”) as well as on the environmental variables (“predictor data”). Despite the fact that there is a large diversity in sampling methods, the work within PREHAB has resulted in certain rules of thumb that can be used as recommendations for sampling in the context of modelling as well as mapping.


In this part of the web resource we discuss data sampling:
A. Data for making your model

  • Biological samples of the responsevariables
  • Environmental variables for making the model (predictor data), e.g. exposure, depth

B. Data for making the map

  • Predictor data to use in the model producing the map of predicted distribution
  • Field data vs GIS-data
     

Author: Mats/Robin,
co-authors Martin G & Göran

 

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