diff --git a/DESCRIPTION b/DESCRIPTION index 0595507..e6af540 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: wdpar Type: Package -Version: 1.3.2.4 +Version: 1.3.3 Title: Interface to the World Database on Protected Areas Description: Fetch and clean data from the World Database on Protected Areas (WDPA) and the World Database on Other Effective Area-Based diff --git a/NEWS.md b/NEWS.md index e04c415..9c4372d 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,8 @@ +# wdpar 1.3.3 + +- CRAN release. +- Reduce test timings. + # wdpar 1.3.2.4 - Fix compatibility with GEOS (version 3.11.0) (#50, #51). diff --git a/README.md b/README.md index a6a0112..88d4e33 100644 --- a/README.md +++ b/README.md @@ -240,14 +240,14 @@ publications. To cite the latest official version, please use: -> Hanson JO (2021). wdpar: Interface to the World Database on Protected -> Areas. R package version 1.3.2. Available at +> Hanson JO (2022). wdpar: Interface to the World Database on Protected +> Areas. R package version 1.3.3. Available at > . To cite the latest development version, please use: > Hanson JO (2022). wdpar: Interface to the World Database on Protected -> Areas. R package version 1.3.2.4. Available at +> Areas. R package version 1.3.3. Available at > . To cite the World Database on Protected Areas (WDPA), please use: diff --git a/cran-comments.md b/cran-comments.md index 26f260b..d1e86eb 100644 --- a/cran-comments.md +++ b/cran-comments.md @@ -1,6 +1,6 @@ Dear CRAN volunteers, -Thank you for reviewing this submission. The main updates in this version include (i) fixing compatibility issues with the Protected Planet website to enable users to download data, (ii) improving data cleaning procedures, (iii) updating code and documentation to reflect the recent addition of the World Database on Other Effective Area-Based Conservation Measures (WDOECM) to the Protected Planet website, and (iv) removing unused package dependencies. The package now also includes the prepr R package as an optional dependency to augment data processing (https://github.com/dickoa/prepr). +Thank you for reviewing this submission. The main updates in this version include (i) making data download procedures more robust, (ii) fixing compatibility issues with recent updates to GEOS (version 3.11.0), (iii) improving the documentation. Cheers, @@ -19,7 +19,7 @@ Jeff 0 errors | 0 warnings | 2 note -# CRAN check notes for new submission +# Package check notes * Possibly misspelled words in DESCRIPTION: WDOECM (7:28) @@ -31,13 +31,6 @@ Jeff **The prepr R package is an optional dependency that is available on GitHub (). Instructions for installing the prepr R package are provided in the DESCRIPTION file and the package README file.** -# CRAN check notes for current version on CRAN - -* Namespace in Imports field not imported from: ‘withr’ - All declared Imports should be used. - - **This note has been addressed by removing the withr R package from the Imports field.** - # Downstream dependencies There are no existing packages that depend on this package. diff --git a/docs/404.html b/docs/404.html index 6e1d97f..375bba0 100644 --- a/docs/404.html +++ b/docs/404.html @@ -32,7 +32,7 @@ wdpar - 1.3.2.4 + 1.3.3 diff --git a/docs/CONTRIBUTING.html b/docs/CONTRIBUTING.html index 05d904f..949e18c 100644 --- a/docs/CONTRIBUTING.html +++ b/docs/CONTRIBUTING.html @@ -17,7 +17,7 @@ wdpar - 1.3.2.4 + 1.3.3 diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html index fb7963d..1a85144 100644 --- a/docs/LICENSE-text.html +++ b/docs/LICENSE-text.html @@ -17,7 +17,7 @@ wdpar - 1.3.2.4 + 1.3.3 diff --git a/docs/articles/index.html b/docs/articles/index.html index b15acd3..3eed1ea 100644 --- a/docs/articles/index.html +++ b/docs/articles/index.html @@ -17,7 +17,7 @@ wdpar - 1.3.2.4 + 1.3.3 diff --git a/docs/articles/wdpar.html b/docs/articles/wdpar.html index 206f782..b2aa588 100644 --- a/docs/articles/wdpar.html +++ b/docs/articles/wdpar.html @@ -1,8 +1,24 @@ -wdpar: Interface to the World Database on Protected Areas • wdpar + + + + + +wdpar: Interface to the World Database on Protected Areas • wdpar + + + + + + + + + + +
@@ -17,12 +33,13 @@ wdpar - 1.3.2.4 + 1.3.3
- - + + + + + + + - - - - - - -
+

wdpar: Interface to the World Database on Protected Areas

@@ -64,230 +81,254 @@

2022-07-08

-
-

Introduction

-

Protected Planet provides the most comprehensive data for conservation areas worldwide. Specifically, it provides the World Database on Protected Areas (WDPA) and the World Database on Other Effective Area-Based Conservation Measures (WDOECM). These databases are used to monitor the performance of existing protected areas, and identify priority areas for future conservation efforts. Additionally, these databases receive monthly updates from government agencies and non-governmental organizations. However, they are associated with several issues that need to be addressed prior to analysis and the dynamic nature of these databases means that the entire data cleaning process needs to be repeated after obtaining a new version.

-

The wdpar R package provides an interface to data available on Protected Planet. Specifically, it can be used to automatically obtain data from the World Database on Protected Areas (WDPA) and the World Database on Other Effective Area-Based Conservation Measures (WDOECM). It also provides methods for cleaning data from these databases following best practices (outlined in Butchart et al. 2015; Protected Planet 2021; Runge et al. 2015). In this vignette, we provide a tutorial and recommendations for using the package.

+
+

Introduction +

+

Protected Planet provides the most comprehensive data for conservation areas worldwide. Specifically, it provides the World Database on Protected Areas (WDPA) and the World Database on Other Effective Area-Based Conservation Measures (WDOECM). These databases are used to monitor the performance of existing protected areas, and identify priority areas for future conservation efforts. Additionally, these databases receive monthly updates from government agencies and non-governmental organizations. However, they are associated with several issues that need to be addressed prior to analysis and the dynamic nature of these databases means that the entire data cleaning process needs to be repeated after obtaining a new version.

+

The wdpar R package provides an interface to data available on Protected Planet. Specifically, it can be used to automatically obtain data from the World Database on Protected Areas (WDPA) and the World Database on Other Effective Area-Based Conservation Measures (WDOECM). It also provides methods for cleaning data from these databases following best practices (outlined in Butchart et al. 2015; Protected Planet 2021; Runge et al. 2015). In this vignette, we provide a tutorial and recommendations for using the package.

-
-

Tutorial

+
+

Tutorial +

Here we will provide a short introduction to the wdpar R package. First, we will load the wdpar R package. We will also load the dplyr and ggmap R packages to help explore the data.

-
# load packages
-library(wdpar)
-library(dplyr)
-library(ggmap)
-

Now we will download protected area data for Malta from Protected Planet. We can achieve this by specifying Malta’s country name (i.e. "Malta") or Malta’s ISO3 code (i.e. "MLT"). Since data are downloaded to a temporary directory by default, we will specify that the data should be downloaded to a persistent directory. This means that R won’t have to re-download the same dataset every time we restart our R session, and R can simply re-load previously downloaded datasets as needed.

-
# download protected area data for Malta
-# (excluding areas represented as point localities)
-mlt_raw_pa_data <- wdpa_fetch(
-  "Malta", wait = TRUE, download_dir = rappdirs::user_data_dir("wdpar")
-)
-
## Warning in wdpa_fetch("Malta", wait = TRUE, download_dir =
-## rappdirs::user_data_dir("wdpar")): local data is out of date: Jun 2022
-

Next, we will clean the data set. Briefly, the cleaning steps include: excluding protected areas that are not yet implemented, excluding protected areas with limited conservation value, replacing missing data codes (e.g. "0") with missing data values (i.e. NA), replacing protected areas represented as points with circular protected areas that correspond to their reported extent, repairing any topological issues with the geometries, and erasing overlapping areas. For more information, see wdpa_clean().

-
# clean Malta data
-mlt_pa_data <- wdpa_clean(mlt_raw_pa_data)
-

After cleaning the data set, we will perform an additional step that involves clipping the terrestrial protected areas to Malta’s coastline. Ideally, we would also clip the marine protected areas to Malta’s Exclusive Economic Zone (EEZ) but such data are not as easy to obtain on a per country basis (but see https://www.marineregions.org/eez.php)).

-
# download Malta boundary from Global Administrative Areas dataset
-file_path <- tempfile(fileext = "rds")
-download.file(
-  "https://biogeo.ucdavis.edu/data/gadm3.6/Rsf/gadm36_MLT_0_sf.rds",
-  file_path
-)
-
-# import Malta's boundary
-mlt_boundary_data <- readRDS(file_path)
-
-# repair any geometry issues, dissolve the border, reproject to same
-# coordinate system as the protected area data, and repair the geometry again
-mlt_boundary_data <-
-  mlt_boundary_data %>%
-  st_set_precision(1000) %>%
-  sf::st_make_valid() %>%
-  st_set_precision(1000) %>%
-  st_combine() %>%
-  st_union() %>%
-  st_set_precision(1000) %>%
-  sf::st_make_valid() %>%
-  st_transform(st_crs(mlt_pa_data)) %>%
-  sf::st_make_valid()
-
## old-style crs object detected; please recreate object with a recent sf::st_crs()
-## old-style crs object detected; please recreate object with a recent sf::st_crs()
-## old-style crs object detected; please recreate object with a recent sf::st_crs()
-
# clip Malta's protected areas to the coastline
-mlt_pa_data <-
-  mlt_pa_data %>%
-  filter(MARINE == "terrestrial") %>%
-  st_intersection(mlt_boundary_data) %>%
-  rbind(mlt_pa_data %>%
-        filter(MARINE == "marine") %>%
-        st_difference(mlt_boundary_data)) %>%
-  rbind(mlt_pa_data %>% filter(!MARINE %in% c("terrestrial", "marine")))
-
## Warning: attribute variables are assumed to be spatially constant throughout all
-## geometries
-
-## Warning: attribute variables are assumed to be spatially constant throughout all
-## geometries
-
# recalculate the area of each protected area
-mlt_pa_data <-
-  mlt_pa_data %>%
-  mutate(AREA_KM2 = as.numeric(st_area(.)) * 1e-6)
-

Now that we have finished cleaning the data, let’s preview the data. For more information on what these columns mean, please refer to the official manual (available in English, French, Spanish, and Russian).

-
# print first six rows of the data
-head(mlt_pa_data)
-
## Simple feature collection with 6 features and 32 fields
-## Geometry type: GEOMETRY
-## Dimension:     XY
-## Bounding box:  xmin: 1382584 ymin: 4291797 xmax: 1399759 ymax: 4299407
-## CRS:           +proj=cea +lon_0=0 +lat_ts=30 +x_0=0 +y_0=0 +datum=WGS84 +ellps=WGS84 +units=m +no_defs
-## # A tibble: 6 × 33
-##      WDPAID WDPA_PID  PA_DEF NAME  ORIG_NAME DESIG DESIG_ENG DESIG_TYPE IUCN_CAT
-##       <dbl> <chr>     <chr>  <chr> <chr>     <chr> <chr>     <chr>      <chr>   
-## 1 555588631 555588631 PA     Il-M… Il-Majji… Park… National… National   II      
-## 2    174757 174757    PA     Il-Ġ… Il-Ġonna… List… List of … National   III     
-## 3    174758 174758    PA     Bidn… Bidnija,… List… List of … National   III     
-## 4    194415 194415    PA     Il-Ġ… Il-Ġonna… List… List of … National   III     
-## 5    194417 194417    PA     Il-W… Il-Wied … List… List of … National   III     
-## 6    194418 194418    PA     Il-B… Il-Ballu… List… List of … National   III     
-## # … with 24 more variables: INT_CRIT <chr>, MARINE <chr>, REP_M_AREA <dbl>,
-## #   GIS_M_AREA <dbl>, REP_AREA <dbl>, GIS_AREA <dbl>, NO_TAKE <chr>,
-## #   NO_TK_AREA <dbl>, STATUS <chr>, STATUS_YR <dbl>, GOV_TYPE <chr>,
-## #   OWN_TYPE <chr>, MANG_AUTH <chr>, MANG_PLAN <chr>, VERIF <chr>,
-## #   METADATAID <int>, SUB_LOC <chr>, PARENT_ISO <chr>, ISO3 <chr>,
-## #   SUPP_INFO <chr>, CONS_OBJ <chr>, GEOMETRY_TYPE <chr>, AREA_KM2 <dbl>,
-## #   geometry <GEOMETRY [m]>
-

We will now reproject the data to longitude/latitude coordinates (EPSG:4326) for visualization purposes.

-
# reproject data
-mlt_pa_data <- st_transform(mlt_pa_data, 4326)
+
+# load packages
+library(wdpar)
+library(dplyr)
+library(ggmap)
+

Now we will download protected area data for Malta from Protected Planet. We can achieve this by specifying Malta’s country name (i.e. "Malta") or Malta’s ISO3 code (i.e. "MLT"). Since data are downloaded to a temporary directory by default, we will specify that the data should be downloaded to a persistent directory. This means that R won’t have to re-download the same dataset every time we restart our R session, and R can simply re-load previously downloaded datasets as needed.

+
+# download protected area data for Malta
+# (excluding areas represented as point localities)
+mlt_raw_pa_data <- wdpa_fetch(
+  "Malta", wait = TRUE, download_dir = rappdirs::user_data_dir("wdpar")
+)
+
## Warning in wdpa_fetch("Malta", wait = TRUE, download_dir =
+## rappdirs::user_data_dir("wdpar")): local data is out of date: Jun 2022
+

Next, we will clean the data set. Briefly, the cleaning steps include: excluding protected areas that are not yet implemented, excluding protected areas with limited conservation value, replacing missing data codes (e.g. "0") with missing data values (i.e. NA), replacing protected areas represented as points with circular protected areas that correspond to their reported extent, repairing any topological issues with the geometries, and erasing overlapping areas. For more information, see wdpa_clean().

+
+# clean Malta data
+mlt_pa_data <- wdpa_clean(mlt_raw_pa_data)
+

After cleaning the data set, we will perform an additional step that involves clipping the terrestrial protected areas to Malta’s coastline. Ideally, we would also clip the marine protected areas to Malta’s Exclusive Economic Zone (EEZ) but such data are not as easy to obtain on a per country basis (but see https://www.marineregions.org/eez.php)).

+
+# download Malta boundary from Global Administrative Areas dataset
+file_path <- tempfile(fileext = "rds")
+download.file(
+  "https://biogeo.ucdavis.edu/data/gadm3.6/Rsf/gadm36_MLT_0_sf.rds",
+  file_path
+)
+
+# import Malta's boundary
+mlt_boundary_data <- readRDS(file_path)
+
+# repair any geometry issues, dissolve the border, reproject to same
+# coordinate system as the protected area data, and repair the geometry again
+mlt_boundary_data <-
+  mlt_boundary_data %>%
+  st_set_precision(1000) %>%
+  sf::st_make_valid() %>%
+  st_set_precision(1000) %>%
+  st_combine() %>%
+  st_union() %>%
+  st_set_precision(1000) %>%
+  sf::st_make_valid() %>%
+  st_transform(st_crs(mlt_pa_data)) %>%
+  sf::st_make_valid()
+
## old-style crs object detected; please recreate object with a recent sf::st_crs()
+## old-style crs object detected; please recreate object with a recent sf::st_crs()
+## old-style crs object detected; please recreate object with a recent sf::st_crs()
+
+# clip Malta's protected areas to the coastline
+mlt_pa_data <-
+  mlt_pa_data %>%
+  filter(MARINE == "terrestrial") %>%
+  st_intersection(mlt_boundary_data) %>%
+  rbind(mlt_pa_data %>%
+        filter(MARINE == "marine") %>%
+        st_difference(mlt_boundary_data)) %>%
+  rbind(mlt_pa_data %>% filter(!MARINE %in% c("terrestrial", "marine")))
+
## Warning: attribute variables are assumed to be spatially constant throughout all
+## geometries
+
+## Warning: attribute variables are assumed to be spatially constant throughout all
+## geometries
+
+# recalculate the area of each protected area
+mlt_pa_data <-
+  mlt_pa_data %>%
+  mutate(AREA_KM2 = as.numeric(st_area(.)) * 1e-6)
+

Now that we have finished cleaning the data, let’s preview the data. For more information on what these columns mean, please refer to the official manual (available in English, French, Spanish, and Russian).

+
+# print first six rows of the data
+head(mlt_pa_data)
+
## Simple feature collection with 6 features and 32 fields
+## Geometry type: GEOMETRY
+## Dimension:     XY
+## Bounding box:  xmin: 1382584 ymin: 4291797 xmax: 1399759 ymax: 4299407
+## CRS:           +proj=cea +lon_0=0 +lat_ts=30 +x_0=0 +y_0=0 +datum=WGS84 +ellps=WGS84 +units=m +no_defs
+## # A tibble: 6 × 33
+##      WDPAID WDPA_PID  PA_DEF NAME  ORIG_NAME DESIG DESIG_ENG DESIG_TYPE IUCN_CAT
+##       <dbl> <chr>     <chr>  <chr> <chr>     <chr> <chr>     <chr>      <chr>   
+## 1 555588631 555588631 PA     Il-M… Il-Majji… Park… National… National   II      
+## 2    174757 174757    PA     Il-Ġ… Il-Ġonna… List… List of … National   III     
+## 3    174758 174758    PA     Bidn… Bidnija,… List… List of … National   III     
+## 4    194415 194415    PA     Il-Ġ… Il-Ġonna… List… List of … National   III     
+## 5    194417 194417    PA     Il-W… Il-Wied … List… List of … National   III     
+## 6    194418 194418    PA     Il-B… Il-Ballu… List… List of … National   III     
+## # … with 24 more variables: INT_CRIT <chr>, MARINE <chr>, REP_M_AREA <dbl>,
+## #   GIS_M_AREA <dbl>, REP_AREA <dbl>, GIS_AREA <dbl>, NO_TAKE <chr>,
+## #   NO_TK_AREA <dbl>, STATUS <chr>, STATUS_YR <dbl>, GOV_TYPE <chr>,
+## #   OWN_TYPE <chr>, MANG_AUTH <chr>, MANG_PLAN <chr>, VERIF <chr>,
+## #   METADATAID <int>, SUB_LOC <chr>, PARENT_ISO <chr>, ISO3 <chr>,
+## #   SUPP_INFO <chr>, CONS_OBJ <chr>, GEOMETRY_TYPE <chr>, AREA_KM2 <dbl>,
+## #   geometry <GEOMETRY [m]>
+

We will now reproject the data to longitude/latitude coordinates (EPSG:4326) for visualization purposes.

+
+# reproject data
+mlt_pa_data <- st_transform(mlt_pa_data, 4326)

Next, we can plot a map showing the boundaries of Malta’s protected area system.

-
# download basemap for making the map
-bg <- get_stamenmap(
-  unname(st_bbox(mlt_pa_data)), zoom = 8,
-  maptype = "watercolor", force = TRUE
-)
-
-# print map
-ggmap(bg) +
-geom_sf(data = mlt_pa_data, fill = "#31A35480", inherit.aes = FALSE) +
-theme(axis.title = element_blank())
-

+
+# download basemap for making the map
+bg <- get_stamenmap(
+  unname(st_bbox(mlt_pa_data)), zoom = 8,
+  maptype = "watercolor", force = TRUE
+)
+
+# print map
+ggmap(bg) +
+geom_sf(data = mlt_pa_data, fill = "#31A35480", inherit.aes = FALSE) +
+theme(axis.title = element_blank())
+

We can also create a histogram showing the year when each protected area was established.

-
hist(
-  mlt_pa_data$STATUS_YR,
-  main = "Malta's protected areas",
-  xlab = "Year established"
-)
-

+
+hist(
+  mlt_pa_data$STATUS_YR,
+  main = "Malta's protected areas",
+  xlab = "Year established"
+)
+

Now let’s calculate some statistics. We can calculate the total amount of land and ocean inside Malta’s protected area system (km2).

-
# calculate total amount of area inside protected areas (km^2)
-statistic <-
-  mlt_pa_data %>%
-  as.data.frame() %>%
-  select(-geometry) %>%
-  group_by(MARINE) %>%
-  summarize(area_km = sum(AREA_KM2)) %>%
-  ungroup() %>%
-  arrange(desc(area_km))
-
-# print statistic
-print(statistic)
-
## # A tibble: 3 × 2
-##   MARINE      area_km
-##   <chr>         <dbl>
-## 1 marine       4790. 
-## 2 terrestrial   130. 
-## 3 partial        18.4
-

We can also calculate the percentage of land inside its protected area system that are managed under different categories (i.e. using the protected area management categories defined by The International Union for Conservation of Nature).

-
# calculate percentage of land inside protected areas (km^2)
-statistic <-
-  mlt_pa_data %>%
-  as.data.frame() %>%
-  select(-geometry) %>%
-  group_by(IUCN_CAT) %>%
-  summarize(area_km = sum(AREA_KM2)) %>%
-  ungroup() %>%
-  mutate(percentage = (area_km / sum(area_km)) * 100) %>%
-  arrange(desc(area_km))
-
-# print statistic
-print(statistic)
-
## # A tibble: 7 × 3
-##   IUCN_CAT       area_km percentage
-##   <chr>            <dbl>      <dbl>
-## 1 IV           4244.       85.9    
-## 2 Not Reported  659.       13.3    
-## 3 V              33.2       0.672  
-## 4 II              2.43      0.0491 
-## 5 III             0.191     0.00387
-## 6 Ia              0.145     0.00294
-## 7 VI              0.0645    0.00131
+
+# calculate total amount of area inside protected areas (km^2)
+statistic <-
+  mlt_pa_data %>%
+  as.data.frame() %>%
+  select(-geometry) %>%
+  group_by(MARINE) %>%
+  summarize(area_km = sum(AREA_KM2)) %>%
+  ungroup() %>%
+  arrange(desc(area_km))
+
+# print statistic
+print(statistic)
+
## # A tibble: 3 × 2
+##   MARINE      area_km
+##   <chr>         <dbl>
+## 1 marine       4790. 
+## 2 terrestrial   130. 
+## 3 partial        18.4
+

We can also calculate the percentage of land inside its protected area system that are managed under different categories (i.e. using the protected area management categories defined by The International Union for Conservation of Nature).

+
+# calculate percentage of land inside protected areas (km^2)
+statistic <-
+  mlt_pa_data %>%
+  as.data.frame() %>%
+  select(-geometry) %>%
+  group_by(IUCN_CAT) %>%
+  summarize(area_km = sum(AREA_KM2)) %>%
+  ungroup() %>%
+  mutate(percentage = (area_km / sum(area_km)) * 100) %>%
+  arrange(desc(area_km))
+
+# print statistic
+print(statistic)
+
## # A tibble: 7 × 3
+##   IUCN_CAT       area_km percentage
+##   <chr>            <dbl>      <dbl>
+## 1 IV           4244.       85.9    
+## 2 Not Reported  659.       13.3    
+## 3 V              33.2       0.672  
+## 4 II              2.43      0.0491 
+## 5 III             0.191     0.00387
+## 6 Ia              0.145     0.00294
+## 7 VI              0.0645    0.00131

We can also plot a map showing Malta’s protected areas and color each area according to it’s management category.

-
ggmap(bg) +
-geom_sf(aes(fill = IUCN_CAT), data = mlt_pa_data, inherit.aes = FALSE) +
-theme(axis.title = element_blank(), legend.position = "bottom")
-

+
+ggmap(bg) +
+geom_sf(aes(fill = IUCN_CAT), data = mlt_pa_data, inherit.aes = FALSE) +
+theme(axis.title = element_blank(), legend.position = "bottom")
+

- - + + diff --git a/docs/authors.html b/docs/authors.html index 9db3bac..ec5cba2 100644 --- a/docs/authors.html +++ b/docs/authors.html @@ -17,7 +17,7 @@ wdpar - 1.3.2.4 + 1.3.3
@@ -64,13 +64,13 @@

Citation

-

Hanson JO (2022) wdpar: Interface to the World Database on Protected Areas. R package version 1.3.2.4. https://github.com/prioritizr/wdpar

+

Hanson JO (2022) wdpar: Interface to the World Database on Protected Areas. R package version 1.3.3. https://CRAN.R-project.org/package=wdpar

@Manual{,
   author = {Jeffrey O Hanson},
   title = {wdpar: Interface to the World Database on Protected Areas},
   year = {2022},
-  note = {R package version 1.3.2.4},
-  url = {https://github.com/prioritizr/wdpar},
+  note = {R package version 1.3.3},
+  url = {https://CRAN.R-project.org/package=wdpar},
 }

UNEP-WCMC and IUCN (2022) Protected Planet: The World Database on Protected Areas (WDPA), [insert month/year of the version downloaded], Cambridge, UK: UNEP-WCMC and IUCN. Available at: www.protectedplanet.net.

@Manual{,
diff --git a/docs/index.html b/docs/index.html
index a429ee0..d1b3ad0 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -38,7 +38,7 @@
       
       
         wdpar
-        1.3.2.4
+        1.3.3
@@ -204,9 +204,9 @@

Citation

Please cite the wdpar R package and the relevant databases used in publications.

To cite the latest official version, please use:

-

Hanson JO (2021). wdpar: Interface to the World Database on Protected Areas. R package version 1.3.2. Available at https://CRAN.R-project.org/package=wdpar.

+

Hanson JO (2022). wdpar: Interface to the World Database on Protected Areas. R package version 1.3.3. Available at https://CRAN.R-project.org/package=wdpar.

To cite the latest development version, please use:

-

Hanson JO (2022). wdpar: Interface to the World Database on Protected Areas. R package version 1.3.2.4. Available at https://github.com/prioritizr/wdpar.

+

Hanson JO (2022). wdpar: Interface to the World Database on Protected Areas. R package version 1.3.3. Available at https://github.com/prioritizr/wdpar.

To cite the World Database on Protected Areas (WDPA), please use:

UNEP-WCMC and IUCN ([insert year of the version downloaded]) Protected Planet: The World Database on Protected Areas (WDPA), [insert month/year of the version downloaded], Cambridge, UK: UNEP-WCMC and IUCN. Available at: www.protectedplanet.net.

To cite the World Database on Other Effective Area-Based Conservation Measures (WDOECM), please use:

diff --git a/docs/news/index.html b/docs/news/index.html index 7a3ce92..9e69aec 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -17,7 +17,7 @@ wdpar - 1.3.2.4 + 1.3.3

@@ -50,6 +50,11 @@

Changelog

Source: NEWS.md
+
+

wdpar 1.3.3

+
  • CRAN release.
    • +
  • Reduce test timings.
    • +

wdpar 1.3.2.4

  • Fix compatibility with GEOS (version 3.11.0) (#50, #51).
    • diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index e16a381..539b5a5 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -3,5 +3,5 @@ pkgdown: 2.0.5 pkgdown_sha: ~ articles: wdpar: wdpar.html -last_built: 2022-07-07T23:56Z +last_built: 2022-07-08T07:34Z diff --git a/docs/reference/index.html b/docs/reference/index.html index b034da9..4a00a1a 100644 --- a/docs/reference/index.html +++ b/docs/reference/index.html @@ -17,7 +17,7 @@ wdpar - 1.3.2.4 + 1.3.3
diff --git a/docs/reference/st_erase_overlaps.html b/docs/reference/st_erase_overlaps.html index defadb5..a0f259a 100644 --- a/docs/reference/st_erase_overlaps.html +++ b/docs/reference/st_erase_overlaps.html @@ -17,7 +17,7 @@ wdpar - 1.3.2.4 + 1.3.3
diff --git a/docs/reference/st_repair_geometry.html b/docs/reference/st_repair_geometry.html index b16b0af..40c1386 100644 --- a/docs/reference/st_repair_geometry.html +++ b/docs/reference/st_repair_geometry.html @@ -17,7 +17,7 @@ wdpar - 1.3.2.4 + 1.3.3 diff --git a/docs/reference/wdpa_clean.html b/docs/reference/wdpa_clean.html index 2ef6d29..a9f14f2 100644 --- a/docs/reference/wdpa_clean.html +++ b/docs/reference/wdpa_clean.html @@ -25,7 +25,7 @@ wdpar - 1.3.2.4 + 1.3.3 diff --git a/docs/reference/wdpa_dissolve.html b/docs/reference/wdpa_dissolve.html index 81ec301..a23af33 100644 --- a/docs/reference/wdpa_dissolve.html +++ b/docs/reference/wdpa_dissolve.html @@ -18,7 +18,7 @@ wdpar - 1.3.2.4 + 1.3.3 diff --git a/docs/reference/wdpa_fetch.html b/docs/reference/wdpa_fetch.html index 7d8be54..b37f691 100644 --- a/docs/reference/wdpa_fetch.html +++ b/docs/reference/wdpa_fetch.html @@ -22,7 +22,7 @@ wdpar - 1.3.2.4 + 1.3.3 diff --git a/docs/reference/wdpa_latest_version.html b/docs/reference/wdpa_latest_version.html index fb4a978..fa015e5 100644 --- a/docs/reference/wdpa_latest_version.html +++ b/docs/reference/wdpa_latest_version.html @@ -22,7 +22,7 @@ wdpar - 1.3.2.4 + 1.3.3 diff --git a/docs/reference/wdpa_read.html b/docs/reference/wdpa_read.html index f24ed0f..53c4540 100644 --- a/docs/reference/wdpa_read.html +++ b/docs/reference/wdpa_read.html @@ -22,7 +22,7 @@ wdpar - 1.3.2.4 + 1.3.3 diff --git a/docs/reference/wdpa_url.html b/docs/reference/wdpa_url.html index 9f5e39c..9af6546 100644 --- a/docs/reference/wdpa_url.html +++ b/docs/reference/wdpa_url.html @@ -23,7 +23,7 @@ wdpar - 1.3.2.4 + 1.3.3 diff --git a/docs/reference/wdpar.html b/docs/reference/wdpar.html index 7b42eb0..c772539 100644 --- a/docs/reference/wdpar.html +++ b/docs/reference/wdpar.html @@ -28,7 +28,7 @@ wdpar - 1.3.2.4 + 1.3.3 diff --git a/inst/doc/wdpar.html b/inst/doc/wdpar.html index 2cf4758..78ae7b5 100644 --- a/inst/doc/wdpar.html +++ b/inst/doc/wdpar.html @@ -12,7 +12,7 @@ - + wdpar: Interface to the World Database on Protected Areas @@ -142,7 +142,7 @@

wdpar: Interface to the World Database on Protected Areas

Jeffrey O. Hanson

-

2022-07-05

+

2022-07-08

diff --git a/tests/testthat/test_internal.R b/tests/testthat/test_internal.R index ddc0be5..e22d467 100644 --- a/tests/testthat/test_internal.R +++ b/tests/testthat/test_internal.R @@ -77,7 +77,7 @@ test_that("wdpa_url (country)", { skip_on_github_workflow("Windows") skip_on_github_workflow("macOS") # verify that wdpa_url yields a result - x <- suppressWarnings(wdpa_url("NZL", wait = TRUE)) + x <- suppressWarnings(wdpa_url("MLT", wait = TRUE)) expect_is(x, "character") # verify that downloading the url yields a zipped shapefile f1 <- tempfile(fileext = ".zip")