I'm deciding on whether to use a geographic projection (lat/long) or a lambert conformal conic projection for a web servicing project that will use raster, vector, and point data, for queries, generating statistics, calculating measures based on area (for example), and also modeling. Models will be mostly based on raster data, but vector to raster conversions may be used depending on the clients request.
Any suggestions? Between the two (lat/long versus LCC)? Or is there another projection you would suggest?
I thought about a UTM projection, but study areas cross multiple zones.