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docs_raw/sites/site_64217.png create mode 100644 docs_raw/sites/site_64218.png create mode 100644 docs_raw/styles.css create mode 100644 docs_raw/thermal_profile.qmd create mode 100644 functions/inspect_cop.py create mode 100644 functions/inspect_ds.py create mode 100644 functions/retrieve_sst_fun.py create mode 100644 functions/retrieve_sst_fun3d.py create mode 100644 marineheritage_sst.Rproj diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..dfe0770 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,2 @@ +# Auto detect text files and perform LF normalization +* text=auto diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..a87e1c4 --- /dev/null +++ b/.gitignore @@ -0,0 +1,68 @@ +# History files +.Rhistory +.Rapp.history +.DS_Store + +# Session Data files +.RData +.RDataTmp + +# User-specific files +.Ruserdata + +# Example code in package build process +*-Ex.R + +# Output files from R CMD build +/*.tar.gz + +# Output files from R CMD check +/*.Rcheck/ + +# RStudio files +.Rproj.user/ + +# produced vignettes +vignettes/*.html +vignettes/*.pdf + +# OAuth2 token, see https://github.com/hadley/httr/releases/tag/v0.3 +.httr-oauth + +# knitr and R markdown default cache directories +*_cache/ +/cache/ + +# Temporary files created by R markdown +*.utf8.md +*.knit.md + +# R Environment Variables +.Renviron + +# pkgdown site +docs/ + +# translation temp files +po/*~ + +# RStudio Connect folder +rsconnect/ + +data/raw/ +data/species/ +data/env/ +data/distances/ +data/log/_log* +data/iucn/ +data/virtual_species/ +data/virtual_species_oldversion/ +_species_info/ +sdmrun/ +sdmrun_b/ +sdmrun_c/ +storr/ +datastd/ +results/ +temp_files/ +codes/drafts/ diff --git a/.nojekyll b/.nojekyll new file mode 100644 index 0000000..e69de29 diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..a0d5d62 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2023 silasprincipe + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/README.md b/README.md new file mode 100644 index 0000000..f49c73c --- /dev/null +++ b/README.md @@ -0,0 +1,9 @@ +# Understanding how temperature is changing on the Marine Heritage Sites + +Work in progess. Experimental. + +See the page at https://iobis.github.io/marineheritage_sst + +To add a section with 'climate vulnerability' for the most abundant/present species (?) + +![image](https://github.com/iobis/marineheritage_sst/assets/53846571/db63c648-b78a-4154-9559-c042efd3a607) diff --git a/codes/download_sst_current.R b/codes/download_sst_current.R new file mode 100644 index 0000000..92b306d --- /dev/null +++ b/codes/download_sst_current.R @@ -0,0 +1,214 @@ +############# eDNA Expeditions - UNESCO World Heritage Marine Sites ############ +################# Data analysis of the project - Thermal niche ################# +# August of 2023 +# Authors: Silas C. Principe, Pieter Provoost +# Contact: s.principe@unesco.org +# +################ Retrieve SST satellite data for current period ################ + +# Load packages and define settings ---- +library(terra) +library(sf) +library(dplyr) +library(ggplot2) +library(arrow) +# Path to save files +save_path <- "data/sst/current/" + + +# Load Python functions ---- +reticulate::source_python("functions/inspect_cop.py") +# reticulate::py_help(inspect_cop) # To see help run this line +reticulate::source_python("functions/retrieve_sst_fun.py") +# reticulate::py_help(retrieve_cop) # To see help run this line + + +# Get credentials for Copernicus Marine service ---- +cop_user <- rstudioapi::askForPassword("Copernicus username") +cop_pass <- rstudioapi::askForPassword("Copernicus password") + +# Load marine heritage sites shapefile ---- +mhs_path <- "data/shapefiles/WorldMarineHeritageSites_v2.shp" +mhs <- st_read(mhs_path) + +# Limit to those that are confirmed on the website +# (ask for a csv list) +mhs <- mhs[grepl(paste0( + c( + "wadden", "shark", "noronha", "rocas", "french austral", "lord howe", + "sundarbans", "coiba", "revillagigedo", "caledonia", "calanche", + "sanganeb", "everglades", "aldabra", "belize", "tubbataha", + "simangaliso", "banc", "ningaloo", "socotra", "Península Valdés" + ), collapse = "|" +), mhs$FULL_NAME, ignore.case = T),] + +mhs_sites <- unique(mhs$MRGID) + +# Oceans (optional) # +oceans <- mregions::mr_shp(key = "MarineRegions:goas", read = TRUE, maxFeatures = 1000) +oceans <- st_as_sf(oceans) + +inter <- st_intersects(mhs, st_make_valid(oceans), sparse = F) + +mhs$OCEAN <- oceans$name[apply(inter, 1, which.max)] + + +# Open dataset ---- +# Dataset name +dataset <- "METOFFICE-GLO-SST-L4-REP-OBS-SST" +# Variable of interest +variable <- "analysed_sst" +# Time range +time_window <- 1992:2021 + +# Inspect and open dataset +dataset_info <- inspect_cop(dataset, cop_user, cop_pass, variable = variable, plot = T) + + +# Get mean, maximum, minimum and sd for each site and save ---- +# Because all will have the same configurations, we first create a function +get_metric <- function(site, metric, time_window) { + retrieve_cop(c(dataset, dataset_info), # Supplying dataset name and dataset object + variable, # Variable to open + cop_user, cop_pass, # Copernicus access information + shape = mhs_path, # Shapefile path + shape_var = "MRGID", # Shapefile variable to filter + shape_filter = site, # Filter value + time_range = time_window, # Time range + ret_type = "df", # Returning type + metric = metric, # Metric of summary + group_by_lonlat = TRUE, # Group by grouper and summarise by whole raster + res_by_month = TRUE, # Aggregate by month + grouper = "time", # Get for each time step + mask_by_shape = FALSE, # Mask by the shapefile + k_to_celsius = TRUE, # Convert from degree to celsius + plot = F) # Plot during execution +} + +# We run in loop, that way if there is any problem we can try again +sites_metrics <- list() + +for (z in 16:length(mhs_sites)) { + # We load the dataset again at each start to avoid the server disconnecting + dataset_info <- inspect_cop(dataset, cop_user, cop_pass, variable = variable, plot = F) + for (k in 1:length(time_window)) { + tr <- paste0(time_window[k], c("-01-01", "-12-31")) + temp_data <- get_metric(mhs_sites[z], + metric = c("mean", "std", "max", "min", "median"), + time_window = tr) + if (k == 1) { + sites_metrics[[z]] <- temp_data + } else { + sites_metrics[[z]] <- rbind(sites_metrics[[z]], + temp_data) + } + } +} + +# +# sites_metrics <- lapply(mhs_sites, get_metric, +# metric = c("mean", "std", "max", "min", "median")) + +# Convert to a single data frame containing sites info +sites_metrics <- lapply(sites_metrics, function(x){x$time <- rownames(x);x}) +names(sites_metrics) <- mhs_sites + +sites_metrics <- bind_rows(sites_metrics, .id = "MRGID") + +sites_info <- st_drop_geometry(mhs[,c("FULL_NAME", "COUNTRY", "MRGID")]) +sites_info <- distinct(sites_info, MRGID, .keep_all = T) + +sites_metrics <- left_join(sites_metrics, sites_info, by = "MRGID") + + +# Save results ---- +write_parquet(sites_metrics, paste0(save_path, "mhs_sst_current.parquet")) + + +# Plot results ---- +sites_metrics$time <- lubridate::as_date(sites_metrics$time) + +sites_metrics <- sites_metrics %>% + group_by(MRGID) %>% + mutate(general_mean = mean(mean)) %>% + mutate(detrend = mean - general_mean) %>% + select(-general_mean) + +ggplot(sites_metrics, aes(x = time, y = mean))+ + geom_line() + + geom_ribbon(aes(ymin = mean-sd, ymax = mean+sd), alpha = .3)+ + theme_light() + + facet_wrap(~ MRGID, scales = "free_y") + +sites_metrics$state <- ifelse(sites_metrics$detrend > 0, "Higher", "Lower") + +ggplot(sites_metrics, aes(x = time, y = detrend))+ + geom_hline(yintercept = 0) + + #geom_line(aes(color = state)) + + geom_area(aes(x=time, y=ifelse(detrend<0, detrend, 0)), fill="#1093C8") + + geom_area(aes(x=time, y=ifelse(detrend>0, detrend, 0)), fill="#C72B10") + + theme_bw() + + facet_wrap(~ MRGID, scales = "free_y") + + + + + + + +#### +# Animated grap +library(dygraphs) +library(xts) + +wide_metrics <- sites_metrics %>% + select(time, MRGID, mean, sd) %>% + filter(MRGID %in% c(26836, 64215)) %>% + mutate(upr = mean+sd, lwr = mean-sd) %>% + select(-sd) %>% + tidyr::pivot_wider(names_from = MRGID, values_from = c(mean, upr, lwr)) + +smetric <- xts(x = wide_metrics, order.by = wide_metrics$time) + +# Finally the plot +(p <- dygraph(smetric) %>% + dySeries(c("lwr_26836", "mean_26836", "upr_26836"), label = "26836") %>% + dySeries(c("lwr_64215", "mean_64215", "upr_64215"), label = "64215") %>% + dyOptions(labelsUTC = TRUE, fillGraph=FALSE, fillAlpha=0.1, drawGrid = FALSE, + colors = RColorBrewer::brewer.pal(3, "Set2")) %>% + dyAxis("y", label = "Temperature (°C)") %>% + dyRangeSelector() %>% + dyCrosshair(direction = "vertical") %>% + dyHighlight(highlightCircleSize = 5, highlightSeriesBackgroundAlpha = 0.2, hideOnMouseOut = FALSE, + highlightSeriesOpts = list(strokeWidth = 2)) #%>% + #dyRoller(rollPeriod = 1) +) + + +smetric_a <- xts(x = wide_metrics[,c("time", "mean_26836", "lwr_26836", "upr_26836")], order.by = wide_metrics$time) +smetric_b <- xts(x = wide_metrics[,c("time", "mean_64215", "lwr_64215", "upr_64215")], order.by = wide_metrics$time) + + +(p1 <- dygraph(smetric_a, group = "sst") %>% + dySeries(c("lwr_26836", "mean_26836", "upr_26836"), label = "26836") %>% + dyOptions(labelsUTC = TRUE, fillGraph=FALSE, fillAlpha=0.1, drawGrid = FALSE, + colors = RColorBrewer::brewer.pal(3, "Set2")) %>% + dyAxis("y", label = "Temperature (°C)") %>% + dyRangeSelector() %>% + dyCrosshair(direction = "vertical") %>% + dyHighlight(highlightCircleSize = 5, highlightSeriesBackgroundAlpha = 0.2, hideOnMouseOut = FALSE, + highlightSeriesOpts = list(strokeWidth = 2)) #%>% + #dyRoller(rollPeriod = 1) +) + +(p2 <- dygraph(smetric_b, group = "sst") %>% + dySeries(c("lwr_64215", "mean_64215", "upr_64215"), label = "64215") %>% + dyOptions(labelsUTC = TRUE, fillGraph=FALSE, fillAlpha=0.1, drawGrid = FALSE, + colors = RColorBrewer::brewer.pal(3, "Set2")) %>% + dyAxis("y", label = "Temperature (°C)") %>% + dyRangeSelector() %>% + dyCrosshair(direction = "vertical") %>% + dyHighlight(highlightCircleSize = 5, highlightSeriesBackgroundAlpha = 0.2, hideOnMouseOut = FALSE, + highlightSeriesOpts = list(strokeWidth = 2)) #%>% + #dyRoller(rollPeriod = 1) +) \ No newline at end of file diff --git a/codes/download_sst_current_plotbymonth.R b/codes/download_sst_current_plotbymonth.R new file mode 100644 index 0000000..3ee2f90 --- /dev/null +++ b/codes/download_sst_current_plotbymonth.R @@ -0,0 +1,220 @@ +############# eDNA Expeditions - UNESCO World Heritage Marine Sites ############ +################# Data analysis of the project - Thermal niche ################# +# August of 2023 +# Authors: Silas C. Principe, Pieter Provoost +# Contact: s.principe@unesco.org +# +################ Retrieve SST satellite data for current period ################ + +# Load packages and define settings ---- +library(terra) +library(sf) +library(dplyr) +library(ggplot2) +library(arrow) +# Path to save files +save_path <- "data/sst/current/" + + +# Load Python functions ---- +reticulate::source_python("functions/inspect_cop.py") +# reticulate::py_help(inspect_cop) # To see help run this line +reticulate::source_python("functions/retrieve_sst_fun.py") +# reticulate::py_help(retrieve_cop) # To see help run this line + + +# Get credentials for Copernicus Marine service ---- +cop_user <- rstudioapi::askForPassword("Copernicus username") +cop_pass <- rstudioapi::askForPassword("Copernicus password") + +# Load marine heritage sites shapefile ---- +mhs_path <- "data/shapefiles/WorldMarineHeritageSites_v2.shp" +mhs <- st_read(mhs_path) + +# Limit to those that are confirmed on the website +# (ask for a csv list) +mhs <- mhs[grepl(paste0( + c( + "wadden", "shark", "noronha", "rocas", "french austral", "lord howe", + "sundarbans", "coiba", "revillagigedo", "caledonia", "calanche", + "sanganeb", "everglades", "aldabra", "belize", "tubbataha", + "simangaliso", "banc", "ningaloo", "socotra", "Península Valdés" + ), collapse = "|" +), mhs$FULL_NAME, ignore.case = T),] + +mhs_sites <- unique(mhs$MRGID) + +# Oceans (optional) # +oceans <- mregions::mr_shp(key = "MarineRegions:goas", read = TRUE, maxFeatures = 1000) +oceans <- st_as_sf(oceans) + +inter <- st_intersects(mhs, st_make_valid(oceans), sparse = F) + +mhs$OCEAN <- oceans$name[apply(inter, 1, which.max)] + + +# Open dataset ---- +# Dataset name +dataset <- "METOFFICE-GLO-SST-L4-REP-OBS-SST" +# Variable of interest +variable <- "analysed_sst" +# Time range +time_window <- 1992:2021 + +# Inspect and open dataset +dataset_info <- inspect_cop(dataset, cop_user, cop_pass, variable = variable, plot = T) + + +# Get mean, maximum, minimum and sd for each site and save ---- +# Because all will have the same configurations, we first create a function +get_metric <- function(site, metric, time_window) { + retrieve_cop(c(dataset, dataset_info), # Supplying dataset name and dataset object + variable, # Variable to open + cop_user, cop_pass, # Copernicus access information + shape = mhs_path, # Shapefile path + shape_var = "MRGID", # Shapefile variable to filter + shape_filter = site, # Filter value + time_range = time_window, # Time range + ret_type = "df", # Returning type + metric = metric, # Metric of summary + group_by_lonlat = TRUE, # Group by grouper and summarise by whole raster + res_by_month = TRUE, # Aggregate by month + grouper = "time", # Get for each time step + mask_by_shape = FALSE, # Mask by the shapefile + k_to_celsius = TRUE, # Convert from degree to celsius + plot = F) # Plot during execution +} + +# We run in loop, that way if there is any problem we can try again +sites_metrics <- list() + +for (z in 16:length(mhs_sites)) { + # We load the dataset again at each start to avoid the server disconnecting + dataset_info <- inspect_cop(dataset, cop_user, cop_pass, variable = variable, plot = F) + for (k in 1:length(time_window)) { + tr <- paste0(time_window[k], c("-01-01", "-12-31")) + temp_data <- get_metric(mhs_sites[z], + metric = c("mean", "std", "max", "min", "median"), + time_window = tr) + if (k == 1) { + sites_metrics[[z]] <- temp_data + } else { + sites_metrics[[z]] <- rbind(sites_metrics[[z]], + temp_data) + } + } +} + +# +# sites_metrics <- lapply(mhs_sites, get_metric, +# metric = c("mean", "std", "max", "min", "median")) + +# Convert to a single data frame containing sites info +sites_metrics <- lapply(sites_metrics, function(x){x$time <- rownames(x);x}) +names(sites_metrics) <- mhs_sites + +sites_metrics <- bind_rows(sites_metrics, .id = "MRGID") + +sites_info <- st_drop_geometry(mhs[,c("FULL_NAME", "COUNTRY", "MRGID")]) +sites_info <- distinct(sites_info, MRGID, .keep_all = T) + +sites_metrics <- left_join(sites_metrics, sites_info, by = "MRGID") + + +# Save results ---- +write_parquet(sites_metrics, paste0(save_path, "mhs_sst_current.parquet")) + + +# Plot results ---- +sites_metrics$time <- lubridate::as_date(sites_metrics$time) + +sites_metrics <- sites_metrics %>% + group_by(MRGID, month = month(time), year = year(time)) %>% + summarise(mean = mean(mean), sd = mean(sd), max = mean(max), min = mean(min), median = mean(median)) %>% + ungroup() %>% + group_by(MRGID) %>% + mutate(general_mean = mean(mean)) %>% + mutate(detrend = mean - general_mean) %>% + mutate(day = 1) %>% + unite(date, c("day", "month", "year"), sep = "-") %>% + mutate(date = as_date(date, format = "%d-%m-%Y")) %>% + select(-general_mean) + +ggplot(sites_metrics, aes(x = date, y = mean))+ + geom_line() + + geom_ribbon(aes(ymin = mean-sd, ymax = mean+sd), alpha = .3)+ + theme_light() + + facet_wrap(~ MRGID, scales = "free_y") + +sites_metrics$state <- ifelse(sites_metrics$detrend > 0, "Higher", "Lower") + +ggplot(sites_metrics, aes(x = date, y = detrend))+ + geom_hline(yintercept = 0) + + #geom_line(aes(color = state)) + + geom_area(aes(y=ifelse(detrend<0, detrend, 0)), fill="#1093C8") + + geom_area(aes(y=ifelse(detrend>0, detrend, 0)), fill="#C72B10") + + theme_bw() + + facet_wrap(~ MRGID, scales = "free_y") + + + + + + + +#### +# Animated grap +library(dygraphs) +library(xts) + +wide_metrics <- sites_metrics %>% + select(time, MRGID, mean, sd) %>% + filter(MRGID %in% c(26836, 64215)) %>% + mutate(upr = mean+sd, lwr = mean-sd) %>% + select(-sd) %>% + tidyr::pivot_wider(names_from = MRGID, values_from = c(mean, upr, lwr)) + +smetric <- xts(x = wide_metrics, order.by = wide_metrics$time) + +# Finally the plot +(p <- dygraph(smetric) %>% + dySeries(c("lwr_26836", "mean_26836", "upr_26836"), label = "26836") %>% + dySeries(c("lwr_64215", "mean_64215", "upr_64215"), label = "64215") %>% + dyOptions(labelsUTC = TRUE, fillGraph=FALSE, fillAlpha=0.1, drawGrid = FALSE, + colors = RColorBrewer::brewer.pal(3, "Set2")) %>% + dyAxis("y", label = "Temperature (°C)") %>% + dyRangeSelector() %>% + dyCrosshair(direction = "vertical") %>% + dyHighlight(highlightCircleSize = 5, highlightSeriesBackgroundAlpha = 0.2, hideOnMouseOut = FALSE, + highlightSeriesOpts = list(strokeWidth = 2)) #%>% + #dyRoller(rollPeriod = 1) +) + + +smetric_a <- xts(x = wide_metrics[,c("time", "mean_26836", "lwr_26836", "upr_26836")], order.by = wide_metrics$time) +smetric_b <- xts(x = wide_metrics[,c("time", "mean_64215", "lwr_64215", "upr_64215")], order.by = wide_metrics$time) + + +(p1 <- dygraph(smetric_a, group = "sst") %>% + dySeries(c("lwr_26836", "mean_26836", "upr_26836"), label = "26836") %>% + dyOptions(labelsUTC = TRUE, fillGraph=FALSE, fillAlpha=0.1, drawGrid = FALSE, + colors = RColorBrewer::brewer.pal(3, "Set2")) %>% + dyAxis("y", label = "Temperature (°C)") %>% + dyRangeSelector() %>% + dyCrosshair(direction = "vertical") %>% + dyHighlight(highlightCircleSize = 5, highlightSeriesBackgroundAlpha = 0.2, hideOnMouseOut = FALSE, + highlightSeriesOpts = list(strokeWidth = 2)) #%>% + #dyRoller(rollPeriod = 1) +) + +(p2 <- dygraph(smetric_b, group = "sst") %>% + dySeries(c("lwr_64215", "mean_64215", "upr_64215"), label = "64215") %>% + dyOptions(labelsUTC = TRUE, fillGraph=FALSE, fillAlpha=0.1, drawGrid = FALSE, + colors = RColorBrewer::brewer.pal(3, "Set2")) %>% + dyAxis("y", label = "Temperature (°C)") %>% + dyRangeSelector() %>% + dyCrosshair(direction = "vertical") %>% + dyHighlight(highlightCircleSize = 5, highlightSeriesBackgroundAlpha = 0.2, hideOnMouseOut = FALSE, + highlightSeriesOpts = list(strokeWidth = 2)) #%>% + #dyRoller(rollPeriod = 1) +) \ No newline at end of file diff --git a/codes/generate_quarto_sites.R b/codes/generate_quarto_sites.R new file mode 100644 index 0000000..a34b465 --- /dev/null +++ b/codes/generate_quarto_sites.R @@ -0,0 +1,34 @@ +#### Create quarto page for each site +library(tidyverse) + +mhs <- sf::read_sf("../data/shapefiles/WorldMarineHeritageSites_v2.shp") + +mhs <- mhs[grepl(paste0( + c( + "wadden", "shark", "noronha", "rocas", "french austral", "lord howe", + "sundarbans", "coiba", "revillagigedo", "caledonia", "calanche", + "sanganeb", "everglades", "aldabra", "belize", "tubbataha", + "simangaliso", "banc", "ningaloo", "socotra", "Península Valdés" + ), collapse = "|" +), mhs$FULL_NAME, ignore.case = T),] + +sites_info <- sf::st_drop_geometry(mhs[,c("FULL_NAME", "COUNTRY", "MRGID")]) +sites_info <- distinct(sites_info, MRGID, .keep_all = T) + +temperature <- arrow::read_parquet("../data/sst/current/mhs_sst_current.parquet") + +temperature <- temperature %>% + mutate(time = as_date(time)) %>% + filter(year(time) == 2021) %>% + group_by(MRGID) %>% + summarise(mean = mean(mean)) + +for (z in 1:nrow(sites_info)) { + rl <- readLines("sites/_sitemodel.qmd") + rl <- gsub("", sites_info$FULL_NAME[z], rl) + rl <- gsub("", sites_info$MRGID[z], rl) + rl <- gsub("", + round(temperature$mean[temperature$MRGID == sites_info$MRGID[z]], 1), + rl) + writeLines(rl, paste0("sites/site", sites_info$MRGID[z], ".qmd")) +} \ No newline at end of file diff --git a/data/shapefiles/WorldMarineHeritageSites_v2.cpg b/data/shapefiles/WorldMarineHeritageSites_v2.cpg new file mode 100644 index 0000000..3ad133c --- /dev/null +++ b/data/shapefiles/WorldMarineHeritageSites_v2.cpg @@ -0,0 +1 @@ +UTF-8 \ No newline at end of file diff --git a/data/shapefiles/WorldMarineHeritageSites_v2.dbf b/data/shapefiles/WorldMarineHeritageSites_v2.dbf new file mode 100644 index 0000000000000000000000000000000000000000..e85ac33620b0148fb40e0e76df34ad00d0e844b4 GIT binary patch literal 215853 zcmeI5&2rpGa>vJZI2_>!`vH8a+g`RoRN;HVmllVlv=S)>TO7sgWun+!Vq*mYG=P?d zbMiiepTHMK?7=5reAhmSAH?A-cJo6VbYVub2Y3F92N6Vdw>m2miTWY4GXLiLzx$_u z{_3l*{_3y)_8;ljPks*1U%mSNWO{t?)mQs=@PD7YV*mB|$(yt9?AgKb?+&JCo3{*( zKRcM7zqx(;@cWMrUcY*MwEgoB_TA&pr_WxznZDWj{a(F3Ir{$XbNk%}zu&9ro6Yd> 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