Choosing an algorithm to coarsen raster resolution

[MattGray]

I currently have a DEM from 1 meter LIDAR elevation data, and I have been tasked with figuring out which is the best algorithm to coarsen the resolution to 3 meter and 5 meter DEMs. I need to provide citation as  because I need to write a report about this as well. Someone mentioned generating a roughness index and using that to make a determination? Anyone have any ideas?

[NiklasNorrthon]

Can't help you with citation, but my starting point would be the resample tool with resampling technique set to bilinear och cubic convolution.

[MattGray]

Although I could not find anything about a "roughness index", I did read up more on nearest neighbor, bilinear interpolation, and cubic convolution. Many sources have said use bilinear or cubic or continuous data, such as elevation surfaces. I only question now is, which of the two is the best for elevation data? I need documentation as well. Anybody?

[MichaelStead]

I would read through this thread: http://forums.arcgis.com/threads/20607-Need-help-with-slope-algorithms-for-my-internship?p=68499#pos...

oh....you did....sorry...I thought some of the links in that discussion might lead somewhere

[MattGray]

From what  I read on ESRI desktop help, I decided that bilinear interpolation is the best for resampling elevation data. Does anyone have a link to a good paper about resampling DEMs that I could cite?

[RoyBurstein]

I would like to this as well, but I am using a population grid and would like my output to be a sum, any suggestions? Thanks.