Micromap Resources
Micromaps Resource links
Dan: http://mason.gmu.edu/~dcarr/Micromaps/
Linda: http://www.statnetconsulting.com/micromaps.html
For Linked and Comparative Micromaps the zipped folders include data, boundary files, R
functions and R scripts.
For Conditioned Micromaps the zipped folders include the dynamic Java software CCmaps and
documentation, as well as boundary files, data files, and application files for each example.
We included county examples for most states and guidance about substituting your data.
There are folders with a growing number of contributed CCmaps examples. One example from
a former student shows immigration to the United States from the world's countries. It can be
fun to see the different kinds of boundary files and data sets that people put together. When
there are many variables there may be many conditioned views that no one has seen. It is fun
to explore.
We hope that many of you will be able to adapt examples by using your own data. For those
without R experience, the linked micromap software from the National Cancer Institute is a
better choice for producing linked micromaps than our current R scripts versions. See
http://gis.cancer.gov/tools/micromaps/. The NCI software guides you through importing
boundaries as shape files, data as comma delimited files, and selecting both variables
and corresponding kinds of statistical panels. If you don't have boundaries or don't want to
show maps, you can use the software to produce row-labeled plots.
We hope that some of you will become involved in producing more software. There is a place
for both open source software and commercial software. There is also plenty of room for
variations, extensions and more convenient interfaces. We plan to continue work on
micromaps but there is only some much we can do, and we plan to spend some of our time
with grandchildren.
Our web sites will evolve. The Conditioned and Comparative micromap examples are available
now. Some Linked micromap examples are available now and others will be added very soon.
There will be additional resources such as documents about getting data from select Federal
agencies and into R. I, Dan, have written instruction for students to facilitate getting data from
BLS and CDC and into R. Hopefully some of you contribute guidance about getting data.
Dan and Linda