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# Wallace EcoMod: a flexible platform for reproducible modeling of
# species niches and distributions.
#
# penvs_userBgExtent.R
# File author: Wallace EcoMod Dev Team. 2023.
# --------------------------------------------------------------------------
# This file is part of the Wallace EcoMod application
# (hereafter “Wallace”).
#
# Wallace is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License,
# or (at your option) any later version.
#
# Wallace is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Wallace. If not, see <http://www.gnu.org/licenses/>.
# --------------------------------------------------------------------------
#
penvs_userBgExtent_module_ui <- function(id) {
ns <- shiny::NS(id)
tagList(
span("Step 1:", class = "step"),
span("Choose Background Extent", class = "stepText"), br(), br(),
fileInput(ns("userBgShp"),
label = paste0('Upload polygon in shapefile (.shp, .shx, .dbf) ',
'or CSV file with field order (longitude, latitude)'),
accept = c(".csv", ".dbf", ".shx", ".shp"), multiple = TRUE),
tags$div(title = paste0('Buffer area in degrees (1 degree = ~111 km). Exact',
' length varies based on latitudinal position.'),
numericInput(ns("userBgBuf"),
label = "Study region buffer distance (degree)",
value = 0, min = 0, step = 0.5)),
tags$div(
title = "Apply selection to ALL species loaded",
checkboxInput(ns("batch1"), label = strong("Batch"), value = FALSE) # Check default (value = FALSE)
),
actionButton(ns("goUserBg"), "Load"),
tags$hr(class = "hrDotted"),
span("Step 2:", class = "step"),
span("Sample Background Points", class = "stepText"), br(), br(),
strong(paste0('Mask predictor rasters by background extent and sample',
' background points')), br(), br(),
numericInput(ns("bgPtsNum"), label = "No. of background points",
value = 10000, min = 1, step = 1), # Check default (value = 10000)
tags$div(
title = "Apply selection to ALL species loaded",
checkboxInput(ns("batch2"), label = strong("Batch"), value = FALSE) # Check default (value = FALSE)
),
actionButton(ns("goBgMask"), "Sample"),
tags$hr(class = "hrDashed"),
actionButton(ns("goReset_penvs"), "Reset", class = 'butReset'),
strong(" background")
)
}
penvs_userBgExtent_module_server <- function(input, output, session, common) {
logger <- common$logger
spp <- common$spp
allSp <- common$allSp
curSp <- common$curSp
envs.global <- common$envs.global
envs <- common$envs
bgExt <- common$bgExt
occs <- common$occs
observeEvent(input$goUserBg, {
# ERRORS ####
if (is.null(input$userBgShp)) {
logger %>%
writeLog(type = 'error',
'Background extent files not uploaded.')
return()
}
# loop over all species if batch is on
if (input$batch1 == TRUE) spLoop <- allSp() else spLoop <- curSp()
# PROCESSING ####
for (sp in spLoop) {
# ERRORS ####
if (is.null(spp[[sp]]$envs)) {
logger %>% writeLog(
type = 'error',
hlSpp(sp),
'Environmental variables missing. Obtain them in component 3.')
return()
}
# FUNCTION CALL ####
userBgExt <- penvs_userBgExtent(input$userBgShp$datapath,
input$userBgShp$name,
input$userBgBuf,
spp[[sp]]$occs,
logger,
spN = sp)
# LOAD INTO SPP ####
spp[[sp]]$procEnvs$bgExt <- userBgExt
# METADATA ####
##Record buffer size
spp[[sp]]$rmm$code$wallace$bgBuf <- input$userBgBuf
##Record name of user provided background extent
spp[[sp]]$rmm$data$occurrence$backgroundSampleSizeRule <- input$userBgShp$name
# get extensions of all input files
spp[[sp]]$rmm$rmm$code$wallace$userBgName <-input$userBgShp$name
paste0('User Polygon, ', input$bgBuf, ' degree buffer')
exts <- sapply(strsplit(input$userBgShp$name, '\\.'),
FUN = function(x) x[2])
if ('csv' %in% exts) {
spp[[sp]]$rmm$code$wallace$userBgExt <- 'csv'
spp[[sp]]$rmm$code$wallace$userBgPath <- input$userBgShp$datapath
}
else if ('shp' %in% exts) {
spp[[sp]]$rmm$code$wallace$userBgExt <- 'shp'
spp[[sp]]$rmm$code$wallace$userBgPath <- input$userBgShp$datapath
# get index of .shp
i <- which(exts == 'shp')
shpName <- strsplit(input$userBgShp$name[i], '\\.')[[1]][1]
spp[[sp]]$rmm$code$wallace$userBgShpParams <-
list(dsn = input$userBgShp$datapath[i], layer = shpName)
}
}
})
observeEvent(input$goBgMask, {
# WARNING ####
if (input$bgPtsNum < 1) {
logger %>% writeLog(type = 'warning',
"Enter a non-zero number of background points.")
return()
}
req(bgExt())
# loop over all species if batch is on
if (input$batch2 == TRUE) spLoop <- allSp() else spLoop <- curSp()
# PROCESSING ####
for (sp in spLoop) {
# FUNCTION CALL ####
bgMask <- penvs_bgMask(spp[[sp]]$occs,
envs.global[[spp[[sp]]$envs]],
spp[[sp]]$procEnvs$bgExt,
logger,
spN = sp)
req(bgMask)
bgNonNA <- raster::ncell(bgMask) - raster::freq(bgMask, value = NA)[[1]]
if ((bgNonNA + 1) < input$bgPtsNum) {
logger %>%
writeLog(
type = "error", hlSpp(sp),
"Number of requested background points (n = ", input$bgPtsNum, ") is ",
"higher than the maximum points available on the background extent ",
"(n = ", bgNonNA, "). Please reduce the number of requested points.")
return()
}
bgPts <- penvs_bgSample(spp[[sp]]$occs,
bgMask,
input$bgPtsNum,
logger,
spN = sp)
req(bgPts)
withProgress(message = paste0("Extracting background values for ",
spName(sp), "..."), {
bgEnvsVals <- as.data.frame(raster::extract(bgMask, bgPts))
})
if (sum(rowSums(is.na(raster::extract(bgMask, spp[[sp]]$occs[ , c("longitude", "latitude")])))) > 0) {
logger %>%
writeLog(type = "error", hlSpp(sp),
"One or more occurrence points have NULL raster values.",
" This can sometimes happen for points on the margin of the study extent.",
" Please increase the buffer slightly to include them.")
return()
}
# LOAD INTO SPP ####
spp[[sp]]$procEnvs$bgMask <- bgMask
# add columns for env variables beginning with "envs_" to bg tbl
spp[[sp]]$bg <- cbind(scientific_name = paste0("bg_", sp), bgPts,
country = NA, state_province = NA, locality = NA,
year = NA, record_type = NA, catalog_number = NA,
institution_code = NA, elevation = NA,
uncertainty = NA, bgEnvsVals)
# sample background points
spp[[sp]]$bgPts <- bgPts
# METADATA ####
spp[[sp]]$rmm$data$occurrence$backgroundSampleSizeSet <- input$bgPtsNum
}
})
# reset background button functionality
observeEvent(input$goReset_penvs, {
req(curSp())
spp[[curSp()]]$procEnvs$bgExt <- NULL
spp[[curSp()]]$procEnvs$bgMask <- NULL
spp[[curSp()]]$bg <- NULL
spp[[curSp()]]$bgPts <- NULL
spp[[curSp()]]$rmm$data$occurrence$backgroundSampleSizeSet <- NULL
logger %>% writeLog(
hlSpp(curSp()), "Reset background extent and background points.")
})
return(list(
save = function() {
list(
userBgBuf = input$userBgBuf,
bgPtsNum = input$bgPtsNum
)
},
load = function(state) {
# Load
updateNumericInput(session, "userBgBuf", value = state$userBgBuf)
updateNumericInput(session, "bgPtsNum", value = state$bgPtsNum)
}
))
common$update_component(tab = "Map")
}
penvs_userBgExtent_module_map <- function(map, common) {
spp <- common$spp
curSp <- common$curSp
occs <- common$occs
if (is.null(spp[[curSp()]]$procEnvs$bgExt)) {
map %>% clearAll() %>%
addCircleMarkers(data = occs(), lat = ~latitude, lng = ~longitude,
radius = 5, color = 'red', fill = TRUE, fillColor = "red",
fillOpacity = 0.2, weight = 2, popup = ~pop)
} else {
map %>% clearAll() %>%
addCircleMarkers(data = occs(), lat = ~latitude, lng = ~longitude,
radius = 5, color = 'red', fill = TRUE, fillColor = "red",
fillOpacity = 0.2, weight = 2, popup = ~pop)
polys <- spp[[curSp()]]$procEnvs$bgExt@polygons[[1]]@Polygons
if (length(polys) == 1) {
xy <- list(polys[[1]]@coords)
} else {
xy <- lapply(polys, function(x) x@coords)
}
for (shp in xy) {
map %>%
addPolygons(lng = shp[, 1], lat = shp[, 2], weight = 4, color = "gray",
group = 'bgShp')
}
bb <- spp[[curSp()]]$procEnvs$bgExt@bbox
map %>% fitBounds(bb[1], bb[2], bb[3], bb[4])
}
}
penvs_userBgExtent_module_rmd <- function(species) {
list(
# Variables used in the module's Rmd code
penvs_userBgExtent_knit = !is.null(species$rmm$code$wallace$userBgExt),
bgShp_name_rmd = species$rmm$code$wallace$userBgShpParams[["layer"]],
userBgBuf_rmd = species$rmm$code$wallace$bgBuf,
bgPtsNum_rmd = species$rmm$data$occurrence$backgroundSampleSizeSet
)
}
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