Force Using Closest Estimate will signal Vivify to assign the closest estimated birth date calculated when conflicting dates prevent it from establishing a clean estimate. This will result in less than accurate estimates and should only be used when want all persons to be resolved regardless of their accuracy.
Assume Flourishing For All Vendor Specific Event Types allows you to specify that any events of an unknown event type that occur while a person is living also occurred while the person was flourishing. This is useful if you've added new event types to your database. Do not check this option if you use these new event types for children.
Export Updated GEDCOM File Vivify now supports adding the birth date estimates to your database, and exporting the updated database to a GEDCOM file. When selected, the resulting GEDCOM file will automatically be presented for download, and then deleted after. Users who choose this option will need to verify for themselves that the resulting GEDCOM file meets their needs. The easiest way to do this is to view the differences between your original and the downloaded file to make sure no other changes have been made. Besides adding the estimated birth dates, Vivify will also make corrections to line lengths as a normal course of exporting a GEDCOM file. Users should always retain their original file as a backup. The exported file is available "AS IS", no warranty or guarantee is provided.
Maximum Child Baptism Age is the maximum age at which a person was baptized or christened as a child. Adult christenings are not considered in this context.
Minimum Marriage Age is the minimum age that a person could have been married. Betrothals and Contracts are not considered in this context.
Maximum Wife's Marriage Age is the maximum age at which a woman could have been married.
Maximum Age Between Spouses is the maximum number of years of age between spouses.
Minimum Child Bearing Age and Maximum Child Bearing Age are the range of ages within which a woman could bear children.
Minimum Flourishing Age and Maximum Flourishing Age are the range of ages that a person is considered to be an adult and would be found containing adult attributes and events such as Nobility Title or Occupation.
Maximum Age (Life Span) is the maximum age at death of a person.
Maximum Event Age Error is the maximum error expected between an event and their known age. A common phenomenon in genealogical records results in persons being listed at the time of an event with an age that is not accurate. Making this value too narrow may prevent Vivify from being able to resolve conflicting dates preventing it from establishing an clean estimate.
Hi Tim,
I have submitted 'mull.ged' again this morning (Monday). Thought it would be just as quick than setting up yet another account. Would be good to receive an updated GEDCOM file but would be more than happy to receive an update report.
Do I take it that your duplicate loop check program would identify more possible duplicated after the estimated birth dates have been added.
Many thanks for all your help and assistance.
Best regards,
Ian
Ian, I can use the last GEDCOM you uploaded, or if you want to upload something larger, you can put in a dropbox or a copy.com box (see my link on how to create an account and get extra space: http://timforsythe.com/blog/how-to-get-20gb-free-cloud-storage ) and share a link with me via email (tjforsythe@gmail.com) so I can download it.
I use estimated dates for the same purpose and yes it is a pretty intense algorithm. I just implemented a simple duplicate loop check ( http://timforsythe.com/blog/detecting-ancestral-loops ) which just walks a persons ancestors recursively looking for a reference to themselves.
Hi Tim, Many thanks for your prompt reply. 'I would like to automate offline batch execution, but haven't gotten to that yet. ' Know the feeling only too well. One of my tasks was to calculate missing dates of births and place an 'Estimated' date against those records that I could reasonably accurately calculate a date. The objective is to try and identify possible duplicate records of which I know I have a good few. Then I saw your program and thought it would save me a good bit of time writing and testing a program. The longer term objective is to move the data to a MySql database from the existing Microsoft Access database. Currently I use Cumberland Family Tree program to maintain the data. It outputs a GEDCOM which I read into a program which I wrote that outputs the GEDCOM as an Access database. I then use .asp script to display the data. No commercial program will handle the searches needed. Being mainly scottish names I need to be able to display both 'Mc' and 'Mac' spellings regardless of the surname entered. A similar problem exists with forenames in that a good number are interchangeable ie Sarah and Marion and James (English/Scottish) and Seamus (Gaelic). Have cracked this issue by using lookup tables. So cutting back to the chase, I would be grateful if you could run Vivify against my GEDCOM file offline. Please let me know how I can get the GEDCOM file to you. Best regards, Ian
Ian, large databases can take quite awhile to run, using server resources. I would like to automate offline batch execution, but haven't gotten to that yet. If you would want me to run a larger database like this one offline, I can, just let me know which tool to run and make sure you've setup your config. If the database has not yet been uploaded, then send me a link to where it can be downloaded. I'll email you a link to the report when complete. It may take a day or two depending on how busy I am at the moment. I usually run batches over night.
Would be great if the program handled larger files. I have a database of 56k individuals many of which have the same or alternative names and / or surnames. One way of identifying possible duplicate entries would be to estimate their dates of birth and then sort. Records are available for viewing at www.mullgenealogy.co.uk
Regards,
Ian
Ian, I emailed you links to your report and modified GEDCOM file.
Make sure to backup your existing GEDCOM file before replacing it and please do try to verify that the new GEDCOM file did not stomp on any other data besides the estimated birthdates. I generally test mine using one of the many freely available text file difference checkers.
Bonkers will find all sorts of issues including duplicates using the loop checker. It will also list persons whose birthdates could not be estimated.