R/data.R

#' Data: Numbers of 4 adult female rays caught in 2137 Irish Sea trawls, 1994 to 2014
#'
#' 2137 capture events of adult female cuckoo, thornback, spotted and blonde
#' rays in the Irish Sea from 1994 to 2014 by the ICES IBTS, including
#' explanatory variables: Length Per Unit Effort in that area by the commercial
#' fishery, depth, temperature, distance to shore, and current speed at the
#' bottom.
#'
#' @format A data frame with 2137 rows and 13 variables:
#' \describe{
#'   \item{Longitude}{Decimal longitudes in the Irish Sea}
#'   \item{Latitude}{Decimal latitudes in the Irish Sea}
#'   \item{Haul_Index}{ICES IBTS area, survey, station, and year}
#'   \item{F_LPUE}{Commercial fishery LPUE in Kg/Hr}
#'   \item{Depth}{Metres, decimal}
#'   \item{Temperature}{Degrees, decimal}
#'   \item{Salinity}{PPM}
#'   \item{Distance_to_Shore}{Metres, decimal}
#'   \item{Current_Speed}{Metres per second at the seabed}
#'   \item{Cuckoo}{Numbers of cuckoo rays caught, standardised to 1 hour}
#'   \item{Thornback}{Numbers of thornback rays caught, standardised to 1 hour}
#'   \item{Blonde}{Numbers of blonde rays caught, standardised to 1 hour}
#'   \item{Spotted}{Numbers of spotted rays caught, standardised to 1 hour}
#' }
#'
#' @docType data
#' @keywords datasets
#' @name Adult_Females
#' @usage data(Adult_Females)
#' @author Simon Dedman, \email{simondedman@@gmail.com}
#' @source <http://datras.ices.dk>
"Adult_Females"

#' Data: Scaled abundance data for 2 subsets of 4 rays in the Irish Sea, by gbm.cons
#'
#' A dataset containing the output of the gbm.cons example run, conservation
#' priority areas within the Irish Sea for juvenile and adult female cuckoo,
#' blonde, thornback and spotted rays.
#'
#' @format A data frame with 378570 rows and 3 variables:
#' \describe{
#'   \item{Longitude}{Decimal longitudes in the Irish Sea}
#'   \item{Latitude}{Decimal latitudes in the Irish Sea}
#'   \item{allscaled}{Relative abundance. Each juvenile and adult female
#'   cuckoo, blonde, thornback and spotted ray scaled to 1 and added together}
#' }
#'
#' @docType data
#' @keywords datasets
#' @name AllScaledData
#' @usage data(AllScaledData)
#' @author Simon Dedman, \email{simondedman@@gmail.com}
"AllScaledData"

#' Data: Explanatory and response variables for 4 juvenile rays in the Irish Sea
#'
#' A dataset containing explanatory variables for environment, fishery and
#' predators of juvenile rays in the Irish Sea, and the response variables,
#' abundance CPUEs of cuckoo, thornback, blonde and spotted rays.
#'
#' @format A data frame with 2136 rows and 46 variables:
#' \describe{
#'   \item{Survey_StNo_HaulNo_Year}{Index column of combined Survey number, station number, haul number, and year}
#'   \item{Latitude}{Decimal latitudes in the Irish Sea}
#'   \item{Longitude}{Decimal longitudes in the Irish Sea}
#'   \item{Depth}{Metres, decimal}
#'   \item{Temperature}{Degrees, decimal}
#'   \item{Salinity}{PPM}
#'   \item{Current_Speed}{Metres per second at the seabed}
#'   \item{Distance_to_Shore}{Metres, decimal}
#'   \item{F_LPUE}{Commercial fishery LPUE in Kg/Hr}
#'   \item{Scallop}{Average KwH Scallop effort from logbooks, Marine Institute and MMO combined}
#'   \item{MI_Av_E_Hr}{Average effort hours, Marine Institute Scallop VMS, 0.03 x 0.02 rectangles, all Irish Sea, 2006-14}
#'   \item{MI_Av_LPUE}{Average scallop CPUE, Marine Institute Scallop VMS, 0.03 x 0.02 rectangles, all Irish Sea, 2006-14}
#'   \item{MI_Sum_Liv}{Sum of live weight. Average scallop CPUE, Marine Institute Scallop VMS, 0.03 x 0.02 rectangles, all Irish Sea, 2006-14}
#'   \item{Whelk}{MMO Whelk LPUE 2009-12, pivot, polygons to points}
#'   \item{MmoAvScKwh}{MMO Scallop Effort 2009-12, pivot, polygons to points. ICES rectangles}
#'   \item{Cod_C}{ICES IBTS CPUE of cod caught between 1994 - 2014 large enough to predate upon <= year 1 cuckoo rays}
#'   \item{Cod_T}{As Cod_C for yr1 thornback rays}
#'   \item{Cod_B}{As Cod_C for yr1 blonde rays}
#'   \item{Cod_S}{As Cod_C for yr1 spotted rays}
#'   \item{Haddock_C}{As Cod_C, haddock predating upon cuckoo rays}
#'   \item{Haddock_T}{As Cod_C, haddock predating upon thornback rays}
#'   \item{Haddock_B}{As Cod_C, haddock predating upon blonde rays}
#'   \item{Haddock_S}{As Cod_C, haddock predating upon spotted rays}
#'   \item{Plaice_C}{As Cod_C, plaice predating upon cuckoo rays}
#'   \item{Plaice_T}{As Cod_C, plaice predating upon thornback rays}
#'   \item{Plaice_B}{As Cod_C, plaice predating upon blonde rays}
#'   \item{Plaice_S}{As Cod_C, plaice predating upon spotted rays}
#'   \item{Whiting_C}{As Cod_C, whiting predating upon cuckoo rays}
#'   \item{Whiting_T}{As Cod_C, whiting predating upon thornback rays}
#'   \item{Whiting_B}{As Cod_C, whiting predating upon blonde rays}
#'   \item{Whiting_S}{As Cod_C, whiting predating upon spotted rays}
#'   \item{ComSkt_C}{As Cod_C, common skate predating upon cuckoo rays}
#'   \item{ComSkt_T}{As Cod_C, common skate predating upon thornback rays}
#'   \item{ComSkt_B}{As Cod_C, common skate predating upon blonde rays}
#'   \item{ComSkt_S}{As Cod_C, common skate predating upon spotted rays}
#'   \item{Blonde_C}{As Cod_C, blonde ray predating upon cuckoo rays}
#'   \item{Blonde_T}{As Cod_C, blonde ray predating upon thornback rays}
#'   \item{Blonde_S}{As Cod_C, blonde ray predating upon spotted rays}
#'   \item{C_Preds}{All predator CPUEs combined for cuckoo rays}
#'   \item{T_Preds}{All predator CPUEs combined for thornback rays}
#'   \item{B_Preds}{All predator CPUEs combined for blonde rays}
#'   \item{S_Preds}{All predator CPUEs combined for spotted rays}
#'   \item{Cuckoo}{Numbers of juvenile cuckoo rays caught, standardised to 1 hour}
#'   \item{Thornback}{Numbers of juvenile thornback rays caught, standardised to 1 hour}
#'   \item{Blonde}{Numbers of juvenile blonde rays caught, standardised to 1 hour}
#'   \item{Spotted}{Numbers of juvenile spotted rays caught, standardised to 1 hour}
#' }
#'
#' @docType data
#' @keywords datasets
#' @name Juveniles
#' @usage data(Juveniles)
#' @author Simon Dedman, \email{simondedman@@gmail.com}
"Juveniles"

#' Data: Explanatory variables for rays in the Irish Sea
#'
#' A dataset containing explanatory variables for environment, fishery and
#' predators of rays including juveniles in the Irish Sea.
#'
#' @format A data frame with 378570 rows and 43 variables:
#' \describe{
#'   \item{Longitude}{Decimal longitudes in the Irish Sea}
#'   \item{Latitude}{Decimal latitudes in the Irish Sea}
#'   \item{Depth}{Metres, decimal}
#'   \item{Temperature}{Degrees, decimal}
#'   \item{Salinity}{PPM}
#'   \item{Current_Speed}{Metres per second at the seabed}
#'   \item{Distance_to_Shore}{Metres, decimal}
#'   \item{F_LPUE}{Commercial fishery LPUE in Kg/Hr}
#'   \item{Scallop}{Average KwH Scallop effort from logbooks, Marine Institute and MMO combined}
#'   \item{MI_Av_E_Hr}{Average effort hours, Marine Institute Scallop VMS, 0.03 x 0.02 rectangles, all Irish Sea, 2006-14}
#'   \item{MI_Av_LPUE}{Average scallop CPUE, Marine Institute Scallop VMS, 0.03 x 0.02 rectangles, all Irish Sea, 2006-14}
#'   \item{MI_Sum_Liv}{Sum of live weight. Average scallop CPUE, Marine Institute Scallop VMS, 0.03 x 0.02 rectangles, all Irish Sea, 2006-14}
#'   \item{Whelk}{MMO Whelk LPUE 2009-12, pivot, polygons to points}
#'   \item{MmoAvScKwh}{MMO Scallop Effort 2009-12, pivot, polygons to points. ICES rectangles}
#'   \item{HubDist}{map calc, distance of grid point to nearest datras point representing it (for preds)}
#'   \item{Cod_C}{ICES IBTS CPUE of cod caught between 1994 - 2014 large enough to predate upon <= year 1 cuckoo rays}
#'   \item{Cod_T}{As Cod_C for yr1 thornback rays}
#'   \item{Cod_B}{As Cod_C for yr1 blonde rays}
#'   \item{Cod_S}{As Cod_C for yr1 spotted rays}
#'   \item{Haddock_C}{As Cod_C, haddock predating upon cuckoo rays}
#'   \item{Haddock_T}{As Cod_C, haddock predating upon thornback rays}
#'   \item{Haddock_B}{As Cod_C, haddock predating upon blonde rays}
#'   \item{Haddock_S}{As Cod_C, haddock predating upon spotted rays}
#'   \item{Plaice_C}{As Cod_C, plaice predating upon cuckoo rays}
#'   \item{Plaice_T}{As Cod_C, plaice predating upon thornback rays}
#'   \item{Plaice_B}{As Cod_C, plaice predating upon blonde rays}
#'   \item{Plaice_S}{As Cod_C, plaice predating upon spotted rays}
#'   \item{Whiting_C}{As Cod_C, whiting predating upon cuckoo rays}
#'   \item{Whiting_T}{As Cod_C, whiting predating upon thornback rays}
#'   \item{Whiting_B}{As Cod_C, whiting predating upon blonde rays}
#'   \item{Whiting_S}{As Cod_C, whiting predating upon spotted rays}
#'   \item{ComSkt_C}{As Cod_C, common skate predating upon cuckoo rays}
#'   \item{ComSkt_T}{As Cod_C, common skate predating upon thornback rays}
#'   \item{ComSkt_B}{As Cod_C, common skate predating upon blonde rays}
#'   \item{ComSkt_S}{As Cod_C, common skate predating upon spotted rays}
#'   \item{Blonde_C}{As Cod_C, blonde ray predating upon cuckoo rays}
#'   \item{Blonde_T}{As Cod_C, blonde ray predating upon thornback rays}
#'   \item{Blonde_S}{As Cod_C, blonde ray predating upon spotted rays}
#'   \item{C_Preds}{All predator CPUEs combined for cuckoo rays}
#'   \item{T_Preds}{All predator CPUEs combined for thornback rays}
#'   \item{B_Preds}{All predator CPUEs combined for blonde rays}
#'   \item{S_Preds}{All predator CPUEs combined for spotted rays}
#'   \item{Effort}{Irish commercial beam trawler effort 2012}
#' }
#'
#' @docType data
#' @keywords datasets
#' @name grids
#' @usage data(grids)
#' @author Simon Dedman, \email{simondedman@@gmail.com}
#' @source <http://oar.marine.ie/handle/10793/958>
"grids"

#' Data: Numbers of 4 ray species caught in 2137 Irish Sea trawls, 1994 to 2014
#'
#' 2244 capture events of cuckoo, thornback, spotted and blonde rays in the Irish
#' Sea from 1994 to 2014 by the ICES IBTS, including explanatory variables:
#' Length Per Unit Effort in that area by the commercial fishery, fishing effort
#' by same, depth, temperature, distance to shore, and current speed at the
#' bottom.
#'
#' @format A data frame with 2244 rows and 14 variables:
#' \describe{
#'   \item{Survey_StNo_HaulNo_Year}{Index column of combined Survey number, station number, haul number, and year}
#'   \item{Latitude}{Decimal latitudes in the Irish Sea}
#'   \item{Longitude}{Decimal longitudes in the Irish Sea}
#'   \item{Depth}{ Metres, decimal}
#'   \item{Temperature}{Degrees, decimal}
#'   \item{Salinity}{PPM}
#'   \item{Current_Speed}{Metres per second at the seabed}
#'   \item{Distance_to_Shore}{Metres, decimal}
#'   \item{F_LPUE}{Commercial fishery LPUE in Kg/Hr}
#'   \item{Effort}{Irish commercial beam trawler effort 2012}
#'   \item{Cuckoo}{Numbers of juvenile cuckoo rays caught, standardised to 1 hour}
#'   \item{Thornback}{Numbers of juvenile thornback rays caught, standardised to 1 hour}
#'   \item{Blonde}{Numbers of juvenile blonde rays caught, standardised to 1 hour}
#'   \item{Spotted}{Numbers of juvenile spotted rays caught, standardised to 1 hour}
#' }
#'
#' @docType data
#' @keywords datasets
#' @name samples
#' @usage data(samples)
#' @author Simon Dedman, \email{simondedman@@gmail.com}
#' @source <http://oar.marine.ie/handle/10793/958>
"samples"

#' Data: Predicted abundances of 4 ray species generated using gbm.auto
#'
#' Predicted abundances of 4 ray species generated using gbm.auto, and
#' Irish commercial beam trawler effort 2012.
#'
#' @format A data frame with 378570 rows and 7 variables:
#' \describe{
#'   \item{Latitude}{Decimal latitudes in the Irish Sea}
#'   \item{Longitude}{Decimal longitudes in the Irish Sea}
#'   \item{Cuckoo}{Predicted abundances of cuckoo rays in the Irish Sea, generated using gbm.auto}
#'   \item{Thornback}{Predicted abundances of thornback rays in the Irish Sea, generated using gbm.auto}
#'   \item{Blonde}{Predicted abundances of blonde rays in the Irish Sea, generated using gbm.auto}
#'   \item{Spotted}{Predicted abundances of spotted rays in the Irish Sea, generated using gbm.auto}
#'   \item{Effort}{Irish commercial beam trawler effort 2012}
#' }
#'
#' @docType data
#' @keywords datasets
#' @name AllPreds_E
#' @usage data(AllPreds_E)
#' @author Simon Dedman, \email{simondedman@@gmail.com}
"AllPreds_E"
SimonDedman/gbm.auto documentation built on Feb. 9, 2024, 5:12 p.m.