Milena and list, On Sat, Mar 27, 2021 at 11:20 AM Milena Muehler <[email protected]> wrote:
> Dear community, > > as an absolute beginner I try to explain my issue and intension. > > So I have several raster layers (population density; livestock density; > mammal density; etc.) and two text layers (so I've imported two csv files > with longitudes and latitudes into QGIS and now I have points about the > location of large airports and location points where there was a zoonotic > infectious disease outbreak). > Please be aware that it is difficult or impossible to defend the claim that some data (like human population density for example) has any kind of Gaussian-like spatial distribution. With data like this, turning it into a raster and thinking of the interpolated values as suitable for combining with other supposedly continuous data may be very difficult to justify. This conversation https://www.researchgate.net/post/Which-are-the-sufficient-conditions-for-Kriging-estimation has a nice compact discussion of the kinds of assumptions that underlie the application of kriging as a spatial interpolation technique. > > My intention is to „combine“ all layers and to get all the values under > this specific point of an outbreak. So that I have the exact value of the > population density, livestock density ans so on where the outbreak > occurred. I guess I have to make the calculation within a certain vicinity > though. > You should probably first carry out some spatial statistics on the data that resulted in your raster layers to make sure any "combination" of the layers actually explains something. Oops I see Nicolas Cadieux also had something to say about this. -- Chris Hermansen · clhermansen "at" gmail "dot" com C'est ma façon de parler.
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