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What's New in Version 1.3 of Geocorr2k
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Version Status
This version is still be beta test mode. Access is via the http://mcdc2.missouri.edu/websas/test/geocorr2k.html web page. Use with caution as testing of the new software has been limited. We would appreciate feedback regarding any problems you encounter with the software. If further testing indicates no significant problems we hope to make this the production version of the software some time during April, 2007.
Summary of Changes
This new version fetures a number of enhancements. These include
- Significantly improved performance (to allow a better chance of being able to do all-states runs without running into browser time-outs) . We have also increased the verbosity of the program so that it displays more messages regarding the phases of processing. This is intended primarily to avoid browser time-outs since the latter occur when nothing is transmitted for an extended period of time. There will still be some such periods but they will be shorter because of the additional messages regarding progress.
- New geographic coverages, including current state legislative districts, 109th congressional districts, Beale urban-rural codes and Urban Influence codes. Core-based Statstical Areas (CBSA's - aka Metropolitan and Micropolitan Statistical Areas) have been updated to current (4/07) values. Metropolitan Divisions and CSA's (subsets and supersets of CBSA's) also updated.
- New England City and Town Based statistical areas ("NECTA"s) have been added for the 6 New England states.
- For Missouri only:
- Updated school district codes - current as of 2006. Available with both the standard NCES codes and the 6-digit codes used by the Mo Dept of Elementary and Secondary Education (DESE).
- AAA - Area Agency on Aging - districts added.
- A new weight variable option lets you get population estimates as of 7-1-2006 as the weight. The weights are assigned to the block level counts in the MABLE database by applying a "population growth factor". This is simply the ratio of the 2006 estimate for the county to the 2000 census count for that county. So if the county grew by 3% over the period then we would apply a 1.03 growth factor to all block pops and use these as the new weight variable. This is only valid when working with county level or higher geography.
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