Survivorship and Population Structure—Cemetery Demography (ESA EcoEd Digital Library)
This module provides access to data uploaded by users themselves via the My Data section of the site, and from seven cemeteries in the Wyoming Valley of northeastern Pennsylvania, collected by students in Wilkes University's BIO 344 Ecology course:
1989 - Hollenback Cemetery, Wilkes-Barre, Luzerne County, PA (41° 15.510’ N; 075° 52.214’ W)
1993 – Forty Fort Cemetery, Forty-Fort, Luzerne County, PA (41° 17.132’ N; 075° 52.302’ W)
1997 – St. Mary’s Cemetery, Hanover Township, Luzerne County, PA (41° 13.249’ N; 075° 55.149’ W)
1999 - Hanover Green Cemetery, Hanover Township, Luzerne County, PA (41° 13.017’ N; 075° 57.245’ W)
2004 – Pittston Cemetery, Pittston, Luzerne County, PA (41° 18.807’ N; 075° 47.572’ W)
2006 – Maple Hill Cemetery, Hanover Township, Luzerne County (41° 13.240’ N; 075° 54.950’ W)
2008 – Wyoming Cemetery, Wyoming, Luzerne County, PA (41° 18.915’ N; 075° 50.078’ W)
The Survivorship Data component outputs data from one of the selected cemeteries, or from a user uploaded dataset (MyData1-5). You may learn more about uploading and using your own data here. Uploaded data must be no larger than 200KB, and conform to the Demography Data Format.
Demography Data Format
The Demography Data Format is is 5 columns of comma separated values, with these exact column names:
Name,Sex,Birth Year,Death Year,Age(years)
In each data row, sex should be specified with one character, and years in YYYY format. E.g.:
Ada J,M,1867,1910,43
All S,F,1838,1932,94
Data may be filtered by individuals' year of birth, year of death, age at death, and sex.
The Data Grouper actor is used to group ("bin") data by a selected Group By parameter, into bins of a specified size. For example, a user can bin data by age at death, into intervals of 5 years, and then feed this grouped ("binned") data into the Histogram component to see frequency of death by age intervals.
The Survivorship Calculator component outputs a summary Life Table, which may be viewed with the Data Viewer component. It also outputs each individual column of the life table, and these may be used to produce line charts (e.g. survivorship curves) using the Line Chart actors.
Example Pipes
Cemetery Demography Survivorship Curves
Cemetery Demography Dual Bar Charts
Cemetery Demography Life Table
Example Output
Acknowledgements
This project was developed with funding provided by the National Science Foundation Award, Digital Resource Discovery and Dynamic Learning Communities for a Changing Biology (DRD) (# DUE-1044359). We would like to acknowledge the work of Principal Investigators, Advisory Panel members, and Staff who made these packages possible.
This Cemetery Demography package was developed by the advisory panel: Dr. Barbara Abraham, Dr. Sunshine Brosi, Dr. Beverly J. Brown,Dr. Sam Donovan,Dr. Shana Ederer, Dr. Denny S. Fernández, Dr. Ken Klemow, Wilkes University, Dr. Tom Langen, Dr. Colleen McLinn, Dr. Bibit Traut, and Dr. Paul Weihe. For additional information, please click here.


My dual credit biology class has been collecting a large amount of data from the cemetaries in our county. However we haven't been collecting the names just age, sex, birthdate, and deathdate in an excel spreadsheet. I think this would be a good tool to use in their analysis but I am not sure how to transfer and enter the data. Any suggestions?
Posted by: Danielle Casey | March 23, 2013 at 09:04 AM
Hi Danielle. You'll need to add a Name column (and have your data in the exact format required: http://info.sciencepipes.org/help/2012/08/cemetery-demography.html ).
I don't recall restricting the Name column to letters only, so an easy workaround would probably be to use Excel to generate the Name column with increasing numbers as stand-in for names. E.g.:
Name,Sex,Birth Year,Death Year,Age(years)
1,M,1900,1990,90
2,F,1900,1960,60
...
Export your data to csv, and then upload it:
http://info.sciencepipes.org/help/2012/12/uploading-and-using-data-files.html
Hope this helps.
Posted by: derik | March 24, 2013 at 08:08 PM