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Unearthing spatial patterns in your data.
are graphics of statistical data linked to an organized series of small maps.
The 3 types of micromaps are:
: add geographic context to row-labeled plots by adding a small map for each group of rows.
: two variables are used to partition a single map into a 3-by-3 grid of maps.
: one- or two-way sequences of maps indexed by time or another attribute.
Visualizing Data Patterns with Micromaps
, by Daniel B. Carr and Linda Williams Pickle, published by CRC Press, April 2010.
Supplemental material: This section is under construction. More will be added later.
Linked micromaps: see
from the National Cancer Institute. R scripts will be available soon.
Conditioned micromaps: see
for software, data, boundaries.
Comparative micromaps: see
for R scripts.
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