1. BioGeomancer: Semi-automated Georeferencing Engine
John Wieczorek, Aaron Steele, Dave Neufeld, P. Bryan Heidorn, Robert Guralnick, Reed Beaman, Chris Frazier,
Paul Flemons, Nelson Rios, Greg Hill, Youjun Guo

2. Locality Interpretation Methods
All of these projects/institutions contributed to how BioGeomancer understands localities (using regular expression analysis or machine learning/natural language processing):
Tulane - GEOLocate
Yale - BioGeomancer Classic
U. Illinois, Urbana-Champagne
Inxight Software, Inc.

3. 37 Locality Types F – feature P – path
FO – offset from a feature, sans heading
FOH – offset from feature at a heading
FO+ – orthogonal offsets from a feature
FPOH – offset at a heading from a feature along a path
31 other locality types known so far

4. Five Most Common Locality Types*
51.0% - feature
21.4% - locality not recorded
17.6% - offset from feature at a heading
8.6% - path
5.8% - undefined
types of localities BG recognizes
*based on 500 records randomly selected from the 296k records georeferenced manually in the MaNIS Project.

5. Types of Data BG Uses and Georeferences
BG has 11 million entries in the gazetteer
User created places = 112,000
1.5 million localities were georeferenced,
for 6.2 million georeferences (so on average 4 georeferences per locality)
500 login users, 6,000 projects done
ORNIS did 189k localities in BG batch processing

6. How BG works: