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Would it be possible to improve the state of the art, showing the diversity of existing open source solutions at the intersection between population genetics and geographic information science. The paper is based on the general observation is that most landscape genetics software (or so-called) are not entirely appropriate for landscape genetics as they depend on models depending on population genetics with the many associated constraints, which may not be relevant. The author often mentions that landscape geneticists repeatedly asserted that more mechanistic models would be essential to the field. Are there other references than the papers of Niko Balkenhol? Also It would be very useful to the readers to have a compared example of how a given dataset for a given species is analysed with a standard landscape genetics tool, and then how it would be processed under a mechanistic approach, with then a discussion of the key differences between the approaches, and what impact it may have on the results. It would be also important to see part of the software, for instance the paper could contain a case study showing how to use it. In general, the paper also refers to population based analyses versus individual based approaches. What can we do or not do in both cases? The difference is not only related to the possible use of a mechanistic approaches. How do you consider logistic regression models used in landcape genomics for instance, and not contrained by population genetics theoretical models?