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what_is_new_4 [2017/08/03 19:00]
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what_is_new_4 [2026/07/22 05:03] (current)
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   * It can be installed alongside version 3. This allows you to keep both versions independently on the same computer making the migration processo from version 3 to 4 easier and less stressful.   * It can be installed alongside version 3. This allows you to keep both versions independently on the same computer making the migration processo from version 3 to 4 easier and less stressful.
  
-  * [[reference_book:​image_virtualization|The input maps used by a model now can have different resolutions,​ number of lines/​columns,​ registration coordinates etc]]. Dinamica is now truly multi-resolution! The only constraint when creating a model is that all maps used by it must share the same projection.+  * [[image_virtualization|The input maps used by a model now can have different resolutions,​ number of lines/​columns,​ registration coordinates etc]]. Dinamica is now truly multi-resolution! The only constraint when creating a model is that all maps used by it must share the same projection.
  
   * The [[https://​en.wikipedia.org/​wiki/​R_(programming_language)|R language]] now can be used to implement parts of a model. Basically, [[reference_book:​r_coupling|the user can use a custom R script to manipulate data the same way any Dinamica functor would do]].   * The [[https://​en.wikipedia.org/​wiki/​R_(programming_language)|R language]] now can be used to implement parts of a model. Basically, [[reference_book:​r_coupling|the user can use a custom R script to manipulate data the same way any Dinamica functor would do]].
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 +  * It is now possible to save KMZ files as part of a simulation model.
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   * Dinamica now features a dynamic progress bar showing the overall progress of the model execution. Since the models can be arbitrarily complex, the bar adapts automatically to each situation and tries not to underestimate the time remaining to complete the execution. ​   * Dinamica now features a dynamic progress bar showing the overall progress of the model execution. Since the models can be arbitrarily complex, the bar adapts automatically to each situation and tries not to underestimate the time remaining to complete the execution. ​