tlc/landscape-and-cognition.html
For a variety of reasons humans should be good at solving landscape problems. These are problems of scale, spatial relationships and change.
patterns - Wendell Berry
ecological rationality - Gigerenzer book, problem solving approaches that take advantage of the structural characteristics of the information,
heuristic devices
evidence that humans use these approaches
what we are good at and bad at
I'm hoping this is in Pinker and others
What are the salient features of complex landscapes
spatial - can learn to improve spatial awareness (Dee's reference of two days)
wayfinding
texture - see the description in the fragmented forest book
scales of processes/ depends on metaphors
gaps - can we really see this?
from these skills - learn how to connect between scales (Levin ****)
Solving complex problems in the landscape
examples - native level intelligence
examples of enhanced tools
the power and limitaions of GIS
it can't substitute for experience in physical landscapes
Mapping complex problems into a landscape form
analysis of complex problems is too difficult for everyone to master
using human innate talents, wetware instead of hardware and software
leaning to trust our pattern matching and other innate, sub-concious skills
Teaching strategies for learning about complex systems
presenting problems that map
identifying problems that don't map
this idendification process is a big challenge for me