Encounter Histories Format

Each data type of Program MARK requires a primary form of data entry provided by the encounter histories. Encounter histories can be either information on only live encounters (LLLL) or information on both live and dead encounters (LDLDLDLD). In addition, some data types allow a summary format that reduces the amount of input. The following table summaries the input for each data type as specified in the encounter histories file.

Data Type

Encounter History Format

Additional Input Format, Notes

Recaptures only (CJS)

LLLL

Recoveries only

LDLDLDLD

Recovery matrix

Both (Burnham)

LDLDLDLD

Known Fate

LDLDLDLD

Known fate

Closed Captures

LLLL

BTO Ring Recoveries

LDLDLDLD

Recovery matrix

Robust Design

LLLL

Both (Barker)

LDLDLDLD

Multi-strata Recaptures

LLLL

Brownie et al. Recoveries

LDLDLDLD

Recovery matrix

Jolly-Seber

LLLL

Huggins' Closed Captures

LLLL

Robust Design (Huggins Est.)

LLLL

Pradel Recruitment only

LLLL

Pradel Survival and Seniority

LLLL

Pradel Survival and Lambda

LLLL

Pradel Survival and Recruitment

LLLL

Barker Robust Design

LDLDLDLD

POPAN

LLLL

VPA -- Virtual Population Analysis

LDLDLDLD

Multi-strata -- Live and Dead Enc.

LDLDLDLD

Closed Captures with Het.

LLLL

Full Closed Captures with Het.

LLLL

Nest Survival

LDLDLDLD

Nest survival

Occupancy Estimation

LLLL

allows . in enc. hist.

Robust Design Occupancy Estimation

LLLL

allows . in enc. hist.

Open Robust Design Multi-strata

LLLL

Closed Robust Design Multi-strata

LLLL

Following each encounter encounter history is the number of animals with this encounter history for each group (known as frequencies). One or more spaces are used to separate the encounter history from the frequencies.

If individual covariates are included, these values follow the frequencies for each group. Typically with individual covariates, only one frequency will be non-zero, usually with a value of 1 because only one animal would have the specific set of individual covariate values. One or more speces are used to separate the individual covariates.

A semicolon terminates the input for each encounter history.