>>1373676It's based on a dataset called CalVEG. The short, short version: Calveg is derived by automated classification of forests' 'spectral signature' (e.g. comparing the characteristics of satellite imagery against a database of forest type characteristics). Basically black magic.
Each polygon represents a forest stand with (relatively) homogenous qualities ("attributes"). Numerous attributes are associated with each polygon. for example: dominant/subdominant forest type, mean tree diameter, and % canopy cover.
I selectively show on the map only those polygons with attributes I find desirable for mushroom hunting (in the case of the map, polygons with >30% conifer canopy cover, medium-large trees, and of a forest type known to contain red/white fir). The polygons are symbolized by forest type.
I guess the crux of the thing is the idea that you can predict where to find good mushroom hunting based on relatively few (mostly forest) characteristics.
I definitely learned a lot about hunting that kind of forest this year and will be making some changes to the next edition. Local knowledge is important! The qualities that make good hunting where I live (near the coast) don't necessarily translate to inland forest.
There wasn't really any intensive analysis in the process-- it was mostly an exercise in cartography for me. I've made similar maps for forests near home to great success.
I'd bet theres more than giant puffballs around you. Check if theres a mycology club or association near you-- these orgs are alnost always full of friendly old mushroom people who'd love to give you pointers on for what and where to look.
