STO-2022 taphonomic-observation schema (PMI nuisance variables)

A typed, zero-row template of the taphonomic-observation and environmental variables used for post-mortem-interval (PMI) work, aligned with the Standard for Taphonomic Observations in Support of the PMI (2022) – the same variable family the geoFOR project records. geoFOR itself is an interactive web application with no open data API, so this schema lets you structure your own case observations into the high-dimensional nuisance set \(X\) for the DML / Bayesian estimators (baseline expected decay given environment). No rows are fabricated.

Usage

morie_taphonomy_pmi_schema()

Source

geoFOR (https://www.geoforapp.info); Standard for Taphonomic Observations in Support of the PMI (2022).

Value

A zero-row data.frame; each column carries a "role" attribute ("observation", "environment", or "outcome").

Examples

str(morie_taphonomy_pmi_schema())
#> 'data.frame':	0 obs. of  11 variables:
#>  $ decomp_stage        : int 
#>  $ body_scoring_tbs    : num 
#>  $ accumulated_deg_days: num 
#>  $ temp_c              : num 
#>  $ humidity_pct        : num 
#>  $ precipitation_mm    : num 
#>  $ burial_depth_cm     : num 
#>  $ soil_ph             : num 
#>  $ scavenger_activity  : int 
#>  $ insect_activity     : int 
#>  $ pmi_days            : num 
#>  - attr(*, "role")= Named chr [1:11] "observation" "observation" "environment" "environment" ...
#>   ..- attr(*, "names")= chr [1:11] "decomp_stage" "body_scoring_tbs" "accumulated_deg_days" "temp_c" ...