The best research I have carried in my whole life has been finally published! Here we use some of the current most advanced statistics to model landslide occurrences.
I would even dare to say that it is one of the most complex and complete statistical applications in Geomorphology. I would have absolutely not been able to do it without the other two co-authors and most of the credit should go to them. Nevertheless, here we are online with Lombardo et al. (2018b)! Enjoy the reading at the following link:
http://rdcu.be/GRh8
Indeed an very interesting reserch work. "The novelty consists of the prediction of landslide intensity in addition to the more common susceptibility".
Keep up the good work and we will surely consider your work for future research.
Like always, another innovative piece of work. Congratulation. I really amazed by the fact that how terminologies differ from one country to another due to witnessing different experiences and, therefore, different needs. I can see this in your papers and my other Italian friends, for instance, clearly susceptibility is more than just a spatial probability to you and it should address more details. Anyway, "stochastic modeling approach" really caught my eye and makes me go ahead and read your work word by word, as I always do. Way to go Dr. Lombardo.
Hello Aidin and many thanks for your words! I know first hand how statistically intense this paper may be. Have a go and read it but if you have any questions, feel free to ask anytime! By the way, I am preparing a video to explain more plainly the article and its implications.
Thanks once again for you interest.
Cheers,
Luigi
Making an video will be very beneficial for other researchers. We Will be looking forward to your videos. Best Regards
Hello Raju,
I need some time for it but rest assured, it'll be online in few weeks.
I am also writing a chapter for a book on this. In the chapter, we give a simplified version of this work and also comment the R-code in a tutorial-style way to allow everyone to replicate similar analyses.
Cheers,
Luigi
Hi Anton,
thanks a lot for your words.
It's good to hear that someone else is moving in the same direction!
I can send you the chapter with the whole code explained step by step if you want.
Cheers,
Luigi
Luigi, I'll be very pleased to see the whole code!
You are very charitable!
On my side, I can promise to send you our results (when they will be published) - they'll be in Russian, but I'll try to make a small summary in English for you.
Hello Anton,
I recently got a book chapter accepted where the code is fully explained line by line (to be precise, the code is the simplified version of the script presented in the paper you are referring to). The chapter itself refers to the github repository where you can download it alongside a simulated dataset for other researchers to get familiar.
If you want, I can send you the chapter to your email or you can check my ResearchGate profile and request the full-text (which is only private at the moment due to the copyrights).
Cheers,
Luigi
