From 190ffa70aef346ecf73fbcc935db48523a3c444f Mon Sep 17 00:00:00 2001 From: GitHub Actions Date: Wed, 23 Jun 2021 00:34:24 +0000 Subject: [PATCH] Built site for seascapeR: 0.3.3@e533994 --- articles/seascapeR.html | 46 +++++++++--------- index.html | 27 ++++++---- pkgdown.yml | 2 +- .../figures/README-map_seascape_wms-1.png | Bin 125634 -> 127459 bytes reference/figures/README-shiny_classes.png | Bin 0 -> 110126 bytes reference/figures/README-shiny_map-ts.png | Bin 0 -> 291145 bytes reference/get_ss_dates.html | 2 +- reference/get_ss_grds.html | 8 +-- reference/get_ss_info.html | 4 +- reference/get_url_ply.html | 4 +- reference/sum_ss_grds_to_ts.html | 32 ++++++------ 11 files changed, 67 insertions(+), 58 deletions(-) create mode 100644 reference/figures/README-shiny_classes.png create mode 100644 reference/figures/README-shiny_map-ts.png diff --git a/articles/seascapeR.html b/articles/seascapeR.html index 9e62faa..207f0a1 100644 --- a/articles/seascapeR.html +++ b/articles/seascapeR.html @@ -113,7 +113,7 @@

#> Base URL: https://cwcgom.aoml.noaa.gov/erddap/ #> Dataset Type: griddap #> Dimensions (range): -#> time: (2003-01-15T12:00:00Z, 2021-01-15T12:00:00Z) +#> time: (2003-01-15T12:00:00Z, 2021-04-15T12:00:00Z) #> latitude: (-89.975, 89.975) #> longitude: (-179.975, 179.975) #> Variables: @@ -126,7 +126,7 @@

#> Base URL: https://cwcgom.aoml.noaa.gov/erddap/ #> Dataset Type: griddap #> Dimensions (range): -#> time: (2002-08-29T12:00:00Z, 2021-02-10T12:00:00Z) +#> time: (2002-08-29T12:00:00Z, 2021-04-23T12:00:00Z) #> latitude: (-89.975, 89.975) #> longitude: (-179.975, 179.975) #> Variables: @@ -137,9 +137,9 @@

# SeaScape date ranges get_ss_dates(ss_gl_mo) -#> [1] "2003-01-15" "2021-01-15" +#> [1] "2003-01-15" "2021-04-15" get_ss_dates(ss_gl_8d) -#> [1] "2002-08-29" "2021-02-10" +#> [1] "2002-08-29" "2021-04-23"

@@ -722,8 +722,8 @@

Get interactive map of Seascape classes:

 map_ss_wms(ss_gl_mo)
-
-

Note that the image tiles produces by the Web Map Server (WMS) do not contain the data, just tiled image.

+
+

Note that the image tiles produces by the Web Map Server (WMS) do not contain the data, just tiled image.

@@ -734,8 +734,8 @@

lon = -81.3; lat = 24.5; w = 1.2 ply <- bbox_ply(lon - w, lat - w, lon + w, lat + w) map_ss_wms(ss_gl_mo, ply)

-
-
+
+
 # setting variables and paths allows for caching data files
 sanctuary = "fknms" # or see: ?get_url_ply
 dir_data  = here::here("data_ss")
@@ -777,8 +777,8 @@ 

 # map image tiles with polygon
 map_ss_wms(ss_gl_mo, ply)
-
- +
+

@@ -834,8 +834,8 @@

# map SeaScape grid map_ss_grd(grd)

-
- +
+

@@ -849,16 +849,16 @@

#> # A tibble: 110 x 4 #> date cellvalue n_cells pct_cells #> <date> <int> <int> <dbl> -#> 1 2020-01-01 3 1 0.00312 -#> 2 2020-01-01 5 1 0.00312 -#> 3 2020-01-01 11 1 0.00312 -#> 4 2020-01-01 13 3 0.00938 -#> 5 2020-01-01 15 179 0.559 -#> 6 2020-01-01 21 116 0.362 -#> 7 2020-01-01 27 19 0.0594 +#> 1 2020-01-01 3 1 0.00308 +#> 2 2020-01-01 5 1 0.00308 +#> 3 2020-01-01 11 2 0.00615 +#> 4 2020-01-01 13 3 0.00923 +#> 5 2020-01-01 15 178 0.548 +#> 6 2020-01-01 21 119 0.366 +#> 7 2020-01-01 27 21 0.0646 #> 8 2020-01-01 NA 0 0 -#> 9 2020-01-09 3 10 0.0312 -#> 10 2020-01-09 13 7 0.0219 +#> 9 2020-01-09 3 10 0.0308 +#> 10 2020-01-09 13 7 0.0215 #> # … with 100 more rows

@@ -867,8 +867,8 @@

 # plot SeaScape time series
 plot_ss_ts(tbl)
-
- +
+

diff --git a/index.html b/index.html index d559462..7f5401d 100644 --- a/index.html +++ b/index.html @@ -97,6 +97,17 @@

Shiny app

Besides the documentation below and in Get Started, to see an example of how seascapeR functions get used to fetch data across sanctuaries, check out the get_data.R script. The gathered data from this script then feeds the Seascapes for Sanctuaries app built with Shiny. To see how the app generates maps and time series plots, see the app’s code at app.R. To see how the Seascape definitions with accompanying relative histograms are rendered in classes.html see the source Rmarkdown file classes.Rmd.

+ +
+
+

Seascapes for Sanctuaries Shiny app:

+

+
+
+

Seascape Classes described:

+

+
+

@@ -143,7 +154,7 @@

#> Dimension: XY #> Bounding box: xmin: -123.1401 ymin: 35.5 xmax: -121.1036 ymax: 37.88163 #> Geodetic CRS: WGS 84 -#> MULTIPOLYGON (((-122.5 35.5, -123 35.5, -123 35... +#> MULTIPOLYGON (((-122.5 35.9, -123 35.9, -123 35... # get SeaScape dataset information ss_info <- get_ss_info(dataset = ss_dataset) @@ -152,7 +163,7 @@

#> Base URL: https://cwcgom.aoml.noaa.gov/erddap/ #> Dataset Type: griddap #> Dimensions (range): -#> time: (2003-01-15T12:00:00Z, 2021-01-15T12:00:00Z) +#> time: (2003-01-15T12:00:00Z, 2021-04-15T12:00:00Z) #> latitude: (-89.975, 89.975) #> longitude: (-179.975, 179.975) #> Variables: @@ -165,8 +176,7 @@

map_ss_wms(ss_info, ply, ss_var = ss_var)

-
-# get SeaScape grids within polyon for date range 
+# get SeaScape grids within polyon for date range 
 grds <- get_ss_grds(
   ss_info, ply, 
   ss_var    = ss_var, 
@@ -181,8 +191,7 @@ 

map_ss_grd(grd)

-
-# summarize SeaScape grids into a time series table
+# summarize SeaScape grids into a time series table
 tbl <- sum_ss_grds_to_ts(grds, ts_csv = ts_csv)
 tbl
 #> Registered S3 method overwritten by 'cli':
@@ -227,13 +236,13 @@ 

  • get_url_ply(): Based on dir_ply, save *.zip, unzip and shapefile with file components *.shp, etc, readable by any GIS program.
  • -get_ss_grds(): Based on dir_grd, save grids (aka rasters) as GeoTIFs (*.tif) with filenames of form “grd_
    ss_var
    _
    date
    .tif”, readable by any GIS program.
  • +get_ss_grds(): Based on dir_grd, save grids (aka rasters) as GeoTIFs (*.tif) with filenames of form “grd_ ss_var _ date .tif”, readable by any GIS program.
  • plot_ss_ts(): Based on ts_csv, save the table as a comma-seperated value (*.csv) file, readable by any spreadsheet program.
  • -
    +
     fs::dir_tree(dir_data)
    -#> /Users/bbest/github/seascapeR/data_ss
    +#> /Users/bbest/github/marinebon/seascapeR/data_ss
     #> ├── mbnms_global_monthly
     #> │   ├── grd_CLASS_2020.01.15.tif
     #> │   ├── grd_CLASS_2020.02.15.tif
    diff --git a/pkgdown.yml b/pkgdown.yml
    index 6d77af6..96f4c01 100644
    --- a/pkgdown.yml
    +++ b/pkgdown.yml
    @@ -3,5 +3,5 @@ pkgdown: 1.6.1
     pkgdown_sha: ~
     articles:
       seascapeR: seascapeR.html
    -last_built: 2021-04-15T20:27Z
    +last_built: 2021-06-23T00:33Z
     
    diff --git a/reference/figures/README-map_seascape_wms-1.png b/reference/figures/README-map_seascape_wms-1.png
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zGiQQl7;xz= zcUoj*Bv)qlptg?Rw{i|tBUsZ}YEZY)eOHIUeRS~A;a=s!6~0g4D&;4Zl-qx_;C9k? zN;eve2l1WgCId?DbF#_C*J@B6vnkRtN z&?v)k1-PW~U40brQNTw59|e3A`211e<9Knj>ckg(6!1~NM*$xNd=&6e-~pz9&lq@s q8{b!T9|e3A@KL}=0UrfKf&UK~JValue

    Examples

    ss_info <- get_ss_info() get_ss_dates(ss_info) -
    #> [1] "2003-01-15" "2021-01-15"
    +
    #> [1] "2003-01-15" "2021-04-15"
    #> class : RasterBrick -#> dimensions : 48, 41, 1968, 13 (nrow, ncol, ncell, nlayers) +#> dimensions : 48, 41, 1968, 16 (nrow, ncol, ncell, nlayers) #> resolution : 0.05, 0.05 (x, y) #> extent : -123.15, -121.1, 35.5, 37.9 (xmin, xmax, ymin, ymax) #> crs : +proj=longlat +datum=WGS84 +no_defs #> source : memory -#> names : CLASS_2020.01.15, CLASS_2020.02.15, CLASS_2020.03.15, CLASS_2020.04.15, CLASS_2020.05.15, CLASS_2020.06.15, CLASS_2020.07.15, CLASS_2020.08.15, CLASS_2020.09.15, CLASS_2020.10.15, CLASS_2020.11.15, CLASS_2020.12.15, CLASS_2021.01.15 -#> min values : 7, 14, 7, 12, 7, 12, 7, 7, 12, 14, 14, 14, 14 -#> max values : 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21 +#> names : CLASS_2020.01.15, CLASS_2020.02.15, CLASS_2020.03.15, CLASS_2020.04.15, CLASS_2020.05.15, CLASS_2020.06.15, CLASS_2020.07.15, CLASS_2020.08.15, CLASS_2020.09.15, CLASS_2020.10.15, CLASS_2020.11.15, CLASS_2020.12.15, CLASS_2021.01.15, CLASS_2021.02.15, CLASS_2021.03.15, ... +#> min values : 7, 14, 7, 12, 7, 12, 7, 7, 12, 14, 14, 14, 14, 14, 14, ... +#> max values : 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, ... #>
    diff --git a/reference/get_ss_info.html b/reference/get_ss_info.html index 2e3f0a0..1e3f0ae 100644 --- a/reference/get_ss_info.html +++ b/reference/get_ss_info.html @@ -152,7 +152,7 @@

    Examp #> Base URL: https://cwcgom.aoml.noaa.gov/erddap/ #> Dataset Type: griddap #> Dimensions (range): -#> time: (2003-01-15T12:00:00Z, 2021-01-15T12:00:00Z) +#> time: (2003-01-15T12:00:00Z, 2021-04-15T12:00:00Z) #> latitude: (-89.975, 89.975) #> longitude: (-179.975, 179.975) #> Variables: @@ -164,7 +164,7 @@

    Examp #> Base URL: https://cwcgom.aoml.noaa.gov/erddap/ #> Dataset Type: griddap #> Dimensions (range): -#> time: (2002-08-29T12:00:00Z, 2021-02-10T12:00:00Z) +#> time: (2002-08-29T12:00:00Z, 2021-04-23T12:00:00Z) #> latitude: (-89.975, 89.975) #> longitude: (-179.975, 179.975) #> Variables: diff --git a/reference/get_url_ply.html b/reference/get_url_ply.html index 9cc9f74..06fb727 100644 --- a/reference/get_url_ply.html +++ b/reference/get_url_ply.html @@ -188,7 +188,7 @@

    Examp #> Geometry type: MULTIPOLYGON #> Dimension: XY #> Bounding box: xmin: -123.1401 ymin: 35.5 xmax: -121.1036 ymax: 37.88163 -#> Geodetic CRS: WGS 84
    #> MULTIPOLYGON (((-122.5 35.5, -123 35.5, -123 35...
    plot(ply_mbnms[1]) +#> Geodetic CRS: WGS 84
    #> MULTIPOLYGON (((-122.5 35.9, -123 35.9, -123 35...
    plot(ply_mbnms[1])
    # fknms: Florida Keys National Marine Sanctuary ply_fknms <- get_url_ply(sanctuary = "fknms") @@ -197,7 +197,7 @@

    Examp #> Geometry type: MULTIPOLYGON #> Dimension: XY #> Bounding box: xmin: -83.14989 ymin: 24.30041 xmax: -80.06647 ymax: 25.65046 -#> Geodetic CRS: WGS 84

    #> MULTIPOLYGON (((-83.14989 24.30041, -83.14988 2...
    plot(ply_fknms[1]) +#> Geodetic CRS: WGS 84
    #> MULTIPOLYGON (((-83.08322 24.30041, -83.08322 2...
    plot(ply_fknms[1])
    #> # A tibble: 61 x 4 +
    #> # A tibble: 75 x 4 #> date cellvalue n_cells pct_cells -#> <date> <int> <int> <dbl> -#> 1 2020-01-15 7 2 0.00336 -#> 2 2020-01-15 12 31 0.0520 -#> 3 2020-01-15 14 558 0.936 -#> 4 2020-01-15 21 2 0.00336 -#> 5 2020-01-15 NA 3 0.00503 -#> 6 2020-02-15 14 543 0.911 -#> 7 2020-02-15 19 12 0.0201 -#> 8 2020-02-15 21 39 0.0654 -#> 9 2020-02-15 NA 2 0.00336 -#> 10 2020-03-15 7 3 0.00503 -#> # … with 51 more rows
    +#> <date> <int> <int> <dbl> +#> 1 2020-01-15 7 2 0.00331 +#> 2 2020-01-15 12 31 0.0513 +#> 3 2020-01-15 14 565 0.935 +#> 4 2020-01-15 21 2 0.00331 +#> 5 2020-01-15 NA 4 0.00662 +#> 6 2020-02-15 14 547 0.906 +#> 7 2020-02-15 19 11 0.0182 +#> 8 2020-02-15 21 44 0.0728 +#> 9 2020-02-15 NA 2 0.00331 +#> 10 2020-03-15 7 3 0.00497 +#> # … with 65 more rows
    # extra attributes assigned; see Details attr(tbl, "n_cells")
    #> [1] 1968
    attr(tbl, "n_cells_na") -
    #> [1] 1372
    attr(tbl, "pct_cells_na") -
    #> [1] 0.6971545
    -
    +
    #> [1] 1364
    attr(tbl, "pct_cells_na") +
    #> [1] 0.6930894
    +