6
5
4
3
2
1
1900 ...... 1990
2000
0
2010
2020
2030
2040 ...... 2100
• Figure 4: Matrix of possible CCHI Maps according to specific times and degrees of warming (Not real data—for illustrative purposes only)
November + December 2010
interactions
support interactivity with the CCHI representation
as a cascading summary of more detailed data. Our
design is deliberately minimalist, and it is easy to
image a grayscale version as a matter of accessibility. The regions defined in the map denote a cumulative summary of the risk factors indicated by the
risk factor icons.
Three levels. We envision the CCHI will support
exploration at three levels of granularity with
respect to the map, namely world scale, showing
regions defined by countries, country scale, showing
regions defined by states, and state scale, showing
regions potentially defined by postal codes rather
than counties. The choice of three levels of granu-
larity as opposed to many discrete levels of zoom as
in Google Maps is deliberate and owes to a concern
for presenting the CCHI in as simple a manner as
possible. Too many levels of granularity make it
hard to think about the world in regional terms that
are essential to understanding how to construct
policies about absorption of new residents. Too few
levels of granularity risk an overly reductive under-
standing of the CCHI. The postal code as a unit of
granularity may be particularly salient, since it is
generally highly correlated with population density,
which is germane to understanding the capability of
a region to absorb new residents.
