NDLI: Using logistic regression to merge mineral resource databases

Content Provider	Springer Nature Link
Author	Shields, Deborah J. Todd, Stella W.
Copyright Year	1998
Abstract	The purpose of this project was to develop and test a methodology for determining the likelihood that mineral resource location records from two nationwide mineral resource information databases represent the same site. The long-term goal is to create a comprehensive database by merging the Mineral Resource Data System (MRDS) of the U.S. Geological Survey, and the Mineral Availability System/Mineral Industry Location System (MAS/MILS) of the U.S. Bureau of Mines (now part of the Geological Survey). Part of that process involves linking records for the same site from each database. Match probabilities were estimated using a logistic regression of mineral resource location attributes, derived from known matched (cross-referenced) and known unmatched randomly sampled mineral site pairs from within the conterminous United States (n=10,000). Model accuracy was assessed using a randomly sampled test dataset, not used in logistic model development (n=4,000). Probability distributions were similar between the development and test datasets. The overall agreement beyond chance was good for the test data set $$\left( {\hat k = 0.736} \right)$$ using the kappa statistic. Classification accuracy was 89.6% for known matched site pairs and 84.0% for known unmatched site pairs based on a probability threshold of 0.50 for a match. Distributions of attributes were similar between the development and test datasets. This classification method is a viable approach for estimating match probabilities between database records.
Starting Page	53
Ending Page	61
Page Count	9
File Format	PDF
ISSN	09611444
Journal	Natural Resources Research
Volume Number	7
Issue Number	1
e-ISSN	15738981
Language	English
Publisher	Springer US
Publisher Date	1998-01-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Mining GIS classification mineral deposit mineral location database Math. Applications in Geosciences Economic Geology Sedimentology Hydrogeology
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Environmental Science

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