nodeAssign: nodeAssign: Assigns PIT-tag observation node site names to...
In ryankinzer/PITviewr: Summarize and View PIT-tag Data

Description Usage Arguments Author(s) Examples

The function assigns PIT-tag observation node site names to each tag detection history record generated from a PTAGIS 'complete tag history query'. The complete tag history query is completed by running the tag list outputted from the validTagList() function. Observation node site names are assigned from joining a configuration file with the PTAGIS query results on 'Site_Code' and 'AntennaID' fields. The configuration file, 'siteDescription.csv', is distributed and maintained within the DABOM package.

An observation node is a single or group of PIT-tag antenna that, at the finest resolution, act as a unique tag detection location. Often, a node consists of multiple antennas at a unique PTAGIS interogation site, which together form a single array. In addition, multiple nodes may exist at one PTAGIS interogation site or mark-release-recapture (MRR) site when more than antenna array are assigned to the same SiteID. A node may also be a single antenna or coil located in an adult ladder or trap entry or the single (MRR) SiteID for fish handled and scanned at a weir location.

1	nodeAssign(valid_tags, observation, configuration, truncate = FALSE)

`valid_tags`	is a data frame or comma seperated value (.csv) file containing the valid tag list which is outputted from the validTagList() function and the LGTrappingDB
`observation`	is the PTAGIS observation file inputted as a data frame or .csv file containing the complete tag history for each of the tagIDs in valid_tags
`configuration`	is a data frame or .csv file which assigns node names to unique SiteID, AntennaID, and site configuration ID combinations.
`truncate`	logical, subsets observations to those with valid nodes, observations dates greater than trapping date at LGD and then to the minimum observation date of each set of observation events at a node, multiple observation events can occur at one node if the observations are split by detections at other nodes