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A NEW MW ALGORITHM TO SPEED UP LANDSCAPE INDEX CALCULATION OF HIGH RESOLUTION MAPS

A NEW MW ALGORITHM TO SPEED UP LANDSCAPE INDEX CALCULATION OF HIGH RESOLUTION MAPS,T. K. Gottschalk,M. Bertling,V. Wolters,J. Biermann

A NEW MW ALGORITHM TO SPEED UP LANDSCAPE INDEX CALCULATION OF HIGH RESOLUTION MAPS  
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The use of high spatial resolution data dramatically prolongs computer processing time when analysing large areas. For example, the duration of Moving Window analysis, a method that is widely used for calculating landscape metrics, not only increases with win- dow size but also with the amount of underlying data. An algorithm was developed to alleviate this problem. It was implemented in the new program SLICER 1.0. The algorithm utilizes a maximum of information from previous computing operations and therefore reduces processing time by a factor of more than 1E+06. The current version of SLICER is confined to quadratic windows and al- lows for calculating three landscape metrics. Here we compare the results of two landscape metrics (Shannon diversity index, Inter- spersion and Juxtaposition index) calculated by means of SLICER 1.0 with those gained by applying a conventional algorithm. The computational results are very similar, but SLICER 1.0 proved to have a much shorter processing time. The algorithm will be further refined to include additional landscape metrics and to be applicable to octagonal windows.
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