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Analysis of overlaying rasters

NicolasBeerli

Hi everyone,

I have around 1000 raster data layer. Every single one represents a distribution range of a species.

In the attribute table of each raster data layer are the body measurements of the specimen (there is only

one row per attribute table).

I am looking for a method in which I could calculate for each pixel the mean body size of the overlaying rasters.

Is there something like that? It would be best if I could repeat that for severals columns in the attribute table.

Is there a more or less simple solution for this problem? Haven't found anything till now..

Many thanks,

Nicolas

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Accepted answers

XanderBakker

mmmm, perhaps Combine is not going to be the solution, since it supports only up to 20 rasters (would require more than 50 steps). The result is a raster with an attribute table holding all the species that occur (as you are looking for)...

All comments

DanPatterson_Retired

If indeed you have separate rasters, have you examined out the Cell Statistics tool in ArcToolbox (with the nodata option selected)

NicolasBeerli

Yes, Cell Statistics would be the right tool if it only had a field where I could access the columns of the attribute table (as parameter). The values that I was going to use to calculate the mean are in the attribute table.

DanPatterson_Retired

So let me get this clear...you have 1000 rasters each with a table with multiple attributes.

What is each raster classed upon? How many rows and columns are there in raster? (and I assume that they overlap exactly and have the same cell size)

NicolasBeerli

The aim of this analysis is to have each cell show the mean wing length, body length & thorax width of all species which occur in the pixel. So in the end, I hope to have three rasters which show me all of the three measurements, and therefore show me the spatial distribution of the average body size (either wing length, body length or thorax width).

Yes I have 1000 rasters each with a attribute table like this:

All rasters are classified as 1 (equal presence of the species).

Each single cell of the rasters overlap exactly and have the same cell size. But the raster themselves have different extensions.

One cell is 100 * 100 km. The study area is the whole "old world." (so theoretically there would be a maximal of 205 columns and 141 rows possible)

Many thanks!

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