R/spOutPoly.R
In Dmirandae/geocleaMT-1: A Package to Clean/Test Georeferenced Data
Defines functions
spOutPoly
Documented in
spOutPoly
#'@name spOutPoly
#'
#'@title Obtain species outside of a polygon
#'
#'@description This function separates species with restricted
#'distribution to a polygon or a defined area, following a series
#' of conditions.
#'
#'@param data Vector of characters. Name of the input file.
#'
#'@param rd.frmt Vector of characters. The file format to read.
#'By default it will be read as a R object using the
#' \code{'readRDS'} argument, but it can be read as plain text using the
#' \code{'readTXT'} argument. See details.
#'
#'@param path Vector of characters. Path to the input file.
#'
#'@param shp.poly SpatialPolygonDataframe Class. Polygon of the referenced areas.
#' The area where the species has to be distributed.
#'@param max.per.out Numeric vector. Maximum percentege of occurrences that can
#'be outside of polygon for the species to be considered as species with
#'restricted distribution. See details.
#'
#'@param max.occ.out Numeric vector. Absolute maximum number of occurrences that can
#'be outside of a polygon for the species to be considered as species with
#'restricted distribution. See details.
#'
#'@param execute Logical vector. If \code{'TRUE'}, the process will be executed on species.
#'If \code{'FALSE'} the species will only be classified and an information table will
#'be saved.
#'
#'@param B1 Logical vector. If \code{'TRUE'}, the condition B1T will be applied.
#'If \code{'FALSE'} the condition B1F will be applied. See details.
#'
#'@param B2 Logical vector. If \code{'TRUE'}, the condition B2T will be applied.
#'If \code{'FALSE'} the condition B2F will be applied. See details.
#'
#'@param wrt.frmt Vector of characters. Format to save output
#'file. By default it will be written as a R object using
#\code{'saveRDS'} argument, but it can be saved as plain text using
#\code{'saveTXT'} argument. See details.
#'
#'@param save.inside.in Vector of characters. Path to the output
#'file for each species whose distribution was considered restricted to polygon.
#'
#'
#'@param save.outside.in Vector of characters. Path to the output
#'file for each species whose distribution was considered widespread.
#'
#'@details #'
#' To see the descriptions and details about conditions and parameters the user
#' should check R-Alarcon V. and Miranda-Esquivel DR.(submitted) geocleaMT: An R package to
#'cleaning geographical data from electronic biodatabases.
#'
#'The condition A, B3 and C for species classification are executed by
#' default, and these can not be modified.
#'
#'The headers of the input file must follow the Darwin Core standard [1].
#'The user can see the guide using data('ID_DarwinCore) command.
#'For more details about the formats to read and/or write, see
#'\code{\link{readAndWrite}} function.
#'
#'@return If execute is \code{'TRUE'} a table data.frame class with information about
#'how was the species classified and an output file by species with occurrences.
#'If execute is FALSE, a table data.frame class will be saved, with information about
#'how was the species classified.
#'
#'
#'@author R-Alarcon Viviana and Miranda-Esquivel Daniel R.
#'
#'@note See:
#'R-Alarcon V. and Miranda-Esquivel DR.(submitted) geocleaMT: An R package to
#'cleaning geographical data from electronic biodatabases.
#'
#'@seealso \code{\link{readAndWrite}}
#'
#'@references
#' [1] Wieczorek, J. et al. 2012. Darwin core: An evolving community-developed biodiversity data standard.
#' PloS One 7: e29715.
#'
spOutPoly <- function(data = NULL,
rd.frmt = 'readRDS',
path = NULL,
shp.poly = NULL,
max.per.out = 5,
max.occ.out = 3,
execute = T,
B1 = F,
B2 = T,
wrt.frmt = 'saveRDS',
save.inside.in = NULL,
save.outside.in = NULL) {
tab.info <- as.data.frame(matrix(NA, length(data), 8))
colnames(tab.info) <- c('Sp', 'Occ', 'No.Inside', 'No.outside',
'Percent.out', 'Status.sp', 'Delete','CondicionApplied')
if (execute == F) {
for (i in 1:length(data)) {
# lea archivo
sp <- as.data.frame(readAndWrite(action = 'read', frmt = rd.frmt,
path = path, name = data[i]))
tab.info$Sp[i] <- data[i]
tab.info$Occ[i] <- nrow(sp)
# Defina cuales son las coordenadas en la matriz.
coordinates(sp) <- sp[,c('decimalLongitude','decimalLatitude')]
# unifique el Datum.
proj4string(sp) <- proj4string(shp.poly)
# estraiga los puntos dentro del poligono de trabjo.
outside <- is.na(over(sp,(as(shp.poly, 'SpatialPolygons'))))
if (any(outside) == T) {
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$Percent.Out[i] <- as.character(round(((nrow(sp[outside, ])*100)
/nrow(sp)), 2))
if (as.numeric(as.character(tab.info$No.Outside[i])) ==
as.numeric(as.character(tab.info$Occ[i]))) {
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- 0
tab.info$Status.Sp[i] <- 'outside'
tab.info$Delete[i] <- 'sp'
tab.info$Condicion[i] <- 'C'
}else{
if (as.numeric(tab.info$Percent.Out[i]) > max.per.out) {
if (as.numeric(tab.info$No.Outside[i]) <= max.occ.out) {
if (B2 == T) {
sp <- as.data.frame(sp[!outside, ])
sp <- sp[, -c(length(sp) - 1, length(sp))]
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'points'
tab.info$Condicion[i] <- 'B2T'
} else {
sp <- as.data.frame(sp)
sp <- sp[,-c(length(sp) - 1,length(sp))]
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'None'
tab.info$Condicion[i] <- 'B2F'
}
} else {
sp <- as.data.frame(sp)
sp <- sp[,-c(length(sp) - 1,length(sp))]
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'outside'
tab.info$Delete[i] <- 'sp'
tab.info$Condicion[i] <- 'B3'
}
} else {
if (B1 == T ) {
sp <- as.data.frame(sp[!outside, ])
sp <- sp[, -c(length(sp) - 1, length(sp))]
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'points'
tab.info$Condicion[i] <- 'B1T'
} else {
sp <- as.data.frame(sp)
sp <- sp[,-c(length(sp) - 1,length(sp))]
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'None'
tab.info$Condicion[i] <- 'B1F'
}
}
}
} else {
sp <- as.data.frame(sp)
sp <- sp[,-c(length(sp) - 1,length(sp))]
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Percent.Out[i] <- 0
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'None'
tab.info$Condicion[i] <- 'A'
}
print(paste('Species',i,':',data[i],sep = ''))
}
path1 <- getwd()
readAndWrite(action = 'write', frmt = wrt.frmt,
path = path1, name = '/Classify.Sp',
object = tab.info)
}else{
for (i in 1:length(data)) {
#! lea archivo
sp <- as.data.frame(readAndWrite(action = 'read', frmt = rd.frmt,
path = path, name = data[i]))
tab.info$Sp[i] <- data[i]
tab.info$Occ[i] <- nrow(sp)
#! Defina cuales son las coordenadas en la matriz.
coordinates(sp) <- sp[,c('decimalLongitude','decimalLatitude')]
#! unifique el Datum.
proj4string(sp) <- proj4string(shp.poly)
#! extraiga los puntos dentro del poligono de trabjo.
outside <- is.na(over(sp,(as(shp.poly, 'SpatialPolygons'))))
if (any(outside) == T) {
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$Percent.Out[i] <- as.character(round(((nrow(sp[outside, ])*100)
/nrow(sp)), 2))
if (as.numeric(as.character(tab.info$No.Outside[i])) ==
as.numeric(as.character(tab.info$Occ[i]))) {
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- 0
tab.info$Status.Sp[i] <- 'outside'
tab.info$Delete[i] <- 'sp'
tab.info$Condicion[i] <- 'C'
}else{
if (as.numeric(tab.info$Percent.Out[i]) > max.per.out) {
if (as.numeric(tab.info$No.Outside[i]) <= max.occ.out) {
if (B2 == T) {
sp <- as.data.frame(sp[!outside, ])
sp <- sp[, -c(length(sp) - 1, length(sp))]
readAndWrite(action = 'write', frmt = wrt.frmt,
path = save.inside.in, name = data[i],
object = sp)
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'points'
tab.info$Condicion[i] <- 'B2T'
} else {
sp <-as.data.frame(sp)
sp <- sp[,-c(length(sp) - 1,length(sp))]
readAndWrite(action = 'write', frmt = wrt.frmt,
path = save.inside.in, name = data[i],
object = sp)
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'None'
tab.info$Condicion[i] <- 'B2F'
}
} else {
sp <- as.data.frame(sp)
sp <- sp[,-c(length(sp) - 1,length(sp))]
readAndWrite(action = 'write', frmt = wrt.frmt,
path = save.outside.in, name = data[i],
object = sp)
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'outside'
tab.info$Delete[i] <- 'sp'
tab.info$Condicion[i] <- 'B3'
}
} else {
if (B1 == T ) {
sp <- as.data.frame(sp[!outside, ])
sp <- sp[, -c(length(sp) - 1, length(sp))]
readAndWrite(action = 'write', frmt = wrt.frmt,
path = save.inside.in, name = data[i],
object = sp)
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'points'
tab.info$Condicion[i] <- 'B1T'
} else {
sp <- as.data.frame(sp)
sp <- sp[,-c(length(sp) - 1,length(sp))]
readAndWrite(action = 'write', frmt = wrt.frmt,
path = save.inside.in, name = data[i],
object = sp)
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'None'
tab.info$Condicion[i] <- 'B1F'
}
}
}
} else {
sp <- as.data.frame(sp)
sp <- sp[,-c(length(sp) - 1,length(sp))]
readAndWrite(action = 'write', frmt = wrt.frmt,
path = save.inside.in, name = data[i], object = sp)
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Percent.Out[i] <- 0
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'None'
tab.info$Condicion[i] <- 'A'
}
print(paste('Species',i,':',data[i],sep = ''))
}
}
return(tab.info)
}
Dmirandae/geocleaMT-1 documentation built on Nov. 18, 2019, 6:26 p.m.
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Defines functions spOutPoly
Documented in spOutPoly
#'@name spOutPoly
#'
#'@title Obtain species outside of a polygon
#'
#'@description This function separates species with restricted
#'distribution to a polygon or a defined area, following a series
#' of conditions.
#'
#'@param data Vector of characters. Name of the input file.
#'
#'@param rd.frmt Vector of characters. The file format to read.
#'By default it will be read as a R object using the
#' \code{'readRDS'} argument, but it can be read as plain text using the
#' \code{'readTXT'} argument. See details.
#'
#'@param path Vector of characters. Path to the input file.
#'
#'@param shp.poly SpatialPolygonDataframe Class. Polygon of the referenced areas.
#' The area where the species has to be distributed.
#'@param max.per.out Numeric vector. Maximum percentege of occurrences that can
#'be outside of polygon for the species to be considered as species with
#'restricted distribution. See details.
#'
#'@param max.occ.out Numeric vector. Absolute maximum number of occurrences that can
#'be outside of a polygon for the species to be considered as species with
#'restricted distribution. See details.
#'
#'@param execute Logical vector. If \code{'TRUE'}, the process will be executed on species.
#'If \code{'FALSE'} the species will only be classified and an information table will
#'be saved.
#'
#'@param B1 Logical vector. If \code{'TRUE'}, the condition B1T will be applied.
#'If \code{'FALSE'} the condition B1F will be applied. See details.
#'
#'@param B2 Logical vector. If \code{'TRUE'}, the condition B2T will be applied.
#'If \code{'FALSE'} the condition B2F will be applied. See details.
#'
#'@param wrt.frmt Vector of characters. Format to save output
#'file. By default it will be written as a R object using
#\code{'saveRDS'} argument, but it can be saved as plain text using
#\code{'saveTXT'} argument. See details.
#'
#'@param save.inside.in Vector of characters. Path to the output
#'file for each species whose distribution was considered restricted to polygon.
#'
#'
#'@param save.outside.in Vector of characters. Path to the output
#'file for each species whose distribution was considered widespread.
#'
#'@details #'
#' To see the descriptions and details about conditions and parameters the user
#' should check R-Alarcon V. and Miranda-Esquivel DR.(submitted) geocleaMT: An R package to
#'cleaning geographical data from electronic biodatabases.
#'
#'The condition A, B3 and C for species classification are executed by
#' default, and these can not be modified.
#'
#'The headers of the input file must follow the Darwin Core standard [1].
#'The user can see the guide using data('ID_DarwinCore) command.
#'For more details about the formats to read and/or write, see
#'\code{\link{readAndWrite}} function.
#'
#'@return If execute is \code{'TRUE'} a table data.frame class with information about
#'how was the species classified and an output file by species with occurrences.
#'If execute is FALSE, a table data.frame class will be saved, with information about
#'how was the species classified.
#'
#'
#'@author R-Alarcon Viviana and Miranda-Esquivel Daniel R.
#'
#'@note See:
#'R-Alarcon V. and Miranda-Esquivel DR.(submitted) geocleaMT: An R package to
#'cleaning geographical data from electronic biodatabases.
#'
#'@seealso \code{\link{readAndWrite}}
#'
#'@references
#' [1] Wieczorek, J. et al. 2012. Darwin core: An evolving community-developed biodiversity data standard.
#' PloS One 7: e29715.
#'
spOutPoly <- function(data = NULL,
rd.frmt = 'readRDS',
path = NULL,
shp.poly = NULL,
max.per.out = 5,
max.occ.out = 3,
execute = T,
B1 = F,
B2 = T,
wrt.frmt = 'saveRDS',
save.inside.in = NULL,
save.outside.in = NULL) {
tab.info <- as.data.frame(matrix(NA, length(data), 8))
colnames(tab.info) <- c('Sp', 'Occ', 'No.Inside', 'No.outside',
'Percent.out', 'Status.sp', 'Delete','CondicionApplied')
if (execute == F) {
for (i in 1:length(data)) {
# lea archivo
sp <- as.data.frame(readAndWrite(action = 'read', frmt = rd.frmt,
path = path, name = data[i]))
tab.info$Sp[i] <- data[i]
tab.info$Occ[i] <- nrow(sp)
# Defina cuales son las coordenadas en la matriz.
coordinates(sp) <- sp[,c('decimalLongitude','decimalLatitude')]
# unifique el Datum.
proj4string(sp) <- proj4string(shp.poly)
# estraiga los puntos dentro del poligono de trabjo.
outside <- is.na(over(sp,(as(shp.poly, 'SpatialPolygons'))))
if (any(outside) == T) {
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$Percent.Out[i] <- as.character(round(((nrow(sp[outside, ])*100)
/nrow(sp)), 2))
if (as.numeric(as.character(tab.info$No.Outside[i])) ==
as.numeric(as.character(tab.info$Occ[i]))) {
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- 0
tab.info$Status.Sp[i] <- 'outside'
tab.info$Delete[i] <- 'sp'
tab.info$Condicion[i] <- 'C'
}else{
if (as.numeric(tab.info$Percent.Out[i]) > max.per.out) {
if (as.numeric(tab.info$No.Outside[i]) <= max.occ.out) {
if (B2 == T) {
sp <- as.data.frame(sp[!outside, ])
sp <- sp[, -c(length(sp) - 1, length(sp))]
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'points'
tab.info$Condicion[i] <- 'B2T'
} else {
sp <- as.data.frame(sp)
sp <- sp[,-c(length(sp) - 1,length(sp))]
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'None'
tab.info$Condicion[i] <- 'B2F'
}
} else {
sp <- as.data.frame(sp)
sp <- sp[,-c(length(sp) - 1,length(sp))]
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'outside'
tab.info$Delete[i] <- 'sp'
tab.info$Condicion[i] <- 'B3'
}
} else {
if (B1 == T ) {
sp <- as.data.frame(sp[!outside, ])
sp <- sp[, -c(length(sp) - 1, length(sp))]
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'points'
tab.info$Condicion[i] <- 'B1T'
} else {
sp <- as.data.frame(sp)
sp <- sp[,-c(length(sp) - 1,length(sp))]
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'None'
tab.info$Condicion[i] <- 'B1F'
}
}
}
} else {
sp <- as.data.frame(sp)
sp <- sp[,-c(length(sp) - 1,length(sp))]
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Percent.Out[i] <- 0
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'None'
tab.info$Condicion[i] <- 'A'
}
print(paste('Species',i,':',data[i],sep = ''))
}
path1 <- getwd()
readAndWrite(action = 'write', frmt = wrt.frmt,
path = path1, name = '/Classify.Sp',
object = tab.info)
}else{
for (i in 1:length(data)) {
#! lea archivo
sp <- as.data.frame(readAndWrite(action = 'read', frmt = rd.frmt,
path = path, name = data[i]))
tab.info$Sp[i] <- data[i]
tab.info$Occ[i] <- nrow(sp)
#! Defina cuales son las coordenadas en la matriz.
coordinates(sp) <- sp[,c('decimalLongitude','decimalLatitude')]
#! unifique el Datum.
proj4string(sp) <- proj4string(shp.poly)
#! extraiga los puntos dentro del poligono de trabjo.
outside <- is.na(over(sp,(as(shp.poly, 'SpatialPolygons'))))
if (any(outside) == T) {
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$Percent.Out[i] <- as.character(round(((nrow(sp[outside, ])*100)
/nrow(sp)), 2))
if (as.numeric(as.character(tab.info$No.Outside[i])) ==
as.numeric(as.character(tab.info$Occ[i]))) {
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- 0
tab.info$Status.Sp[i] <- 'outside'
tab.info$Delete[i] <- 'sp'
tab.info$Condicion[i] <- 'C'
}else{
if (as.numeric(tab.info$Percent.Out[i]) > max.per.out) {
if (as.numeric(tab.info$No.Outside[i]) <= max.occ.out) {
if (B2 == T) {
sp <- as.data.frame(sp[!outside, ])
sp <- sp[, -c(length(sp) - 1, length(sp))]
readAndWrite(action = 'write', frmt = wrt.frmt,
path = save.inside.in, name = data[i],
object = sp)
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'points'
tab.info$Condicion[i] <- 'B2T'
} else {
sp <-as.data.frame(sp)
sp <- sp[,-c(length(sp) - 1,length(sp))]
readAndWrite(action = 'write', frmt = wrt.frmt,
path = save.inside.in, name = data[i],
object = sp)
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'None'
tab.info$Condicion[i] <- 'B2F'
}
} else {
sp <- as.data.frame(sp)
sp <- sp[,-c(length(sp) - 1,length(sp))]
readAndWrite(action = 'write', frmt = wrt.frmt,
path = save.outside.in, name = data[i],
object = sp)
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'outside'
tab.info$Delete[i] <- 'sp'
tab.info$Condicion[i] <- 'B3'
}
} else {
if (B1 == T ) {
sp <- as.data.frame(sp[!outside, ])
sp <- sp[, -c(length(sp) - 1, length(sp))]
readAndWrite(action = 'write', frmt = wrt.frmt,
path = save.inside.in, name = data[i],
object = sp)
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'points'
tab.info$Condicion[i] <- 'B1T'
} else {
sp <- as.data.frame(sp)
sp <- sp[,-c(length(sp) - 1,length(sp))]
readAndWrite(action = 'write', frmt = wrt.frmt,
path = save.inside.in, name = data[i],
object = sp)
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'None'
tab.info$Condicion[i] <- 'B1F'
}
}
}
} else {
sp <- as.data.frame(sp)
sp <- sp[,-c(length(sp) - 1,length(sp))]
readAndWrite(action = 'write', frmt = wrt.frmt,
path = save.inside.in, name = data[i], object = sp)
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Outside[i] <- nrow(sp[outside, ])
tab.info$No.Inside[i] <- nrow(sp[!outside, ])
tab.info$Percent.Out[i] <- 0
tab.info$Status.Sp[i] <- 'inside'
tab.info$Delete[i] <- 'None'
tab.info$Condicion[i] <- 'A'
}
print(paste('Species',i,':',data[i],sep = ''))
}
}
return(tab.info)
}
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