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Problem: which parts of a raster map determine occurrence of an event?
Date: July 20, 2017 09:05AM
I am working on a problem where I would like to assess if variation in particular regions of a map determine the occurrence of an event.
I have raster maps (aprox 200x400 cells) of the distribution of a parameter in space. I have one of these maps every year for a range of years (about 20). In some years a particular event occurs where in other it doesn't. I hypothesize that the occurrence of this event may be caused by variation in a particular region of the map , e.g. in some years a particular region of the map may take higher values leading to the occurrence of the event.
I am currently drawing blanks thinking of a method that could be used to tackle this problem. I would greatly appreciate if someone could suggest an approach.
Thank you in advance for any comments and suggestions.
Re: Problem: which parts of a raster map determine occurrence of an event?
Date: July 20, 2017 04:21PM
I think it can be seen as a classification problem, where given a map, the goal is to predict whether it belongs to class 1 (event) or class 2 (no event).
For a classification problem, you could use some classifier such as neural networks. However, having only 20 maps is a very small training set of data for training a neural networks. But maybe it could work. Or depending on the data, maybe it is possible to use a more simple type of models.
I think that a key problem is how to define the features for training a model. You could use every pixel as an input, or you could define higher level features based on these pixels. It depends on the application.
This is just some ideas.