README-NOT.md

mregions

mregions - Get data from https://www.marineregions.org

Some data comes from the Flanders Marine Institute (VLIZ) geoserver

mregions is useful to a wide diversity of R users because you get access to all of the data MarineRegions has, which can help in a variety of use cases:

• Visualize marine regions alone
• Visualize marine regions with associated data paired with analysis
• Use marine region geospatial boundaries to query data providers (e.g., OBIS (https://www.obis.org))
• Geocode - get geolocation data from place names
• Reverse Geocode - get place names from geolocation data

Install

install.packages("mregions")
install.packages("sf")

Development version

devtools::install_github("ropensci/mregions")

Load Libraries

library("mregions")
library("sf")

# helper library
library("leaflet")

Get GeoJSON

example 1: Marine Ecoregions of the World (MEOW)

Get Data

Keys accessible from the Flanders Marine Institute (VLIZ) geoserver.

ecoregions_geoJSON <- mr_geojson(key = "Ecoregions:ecoregions", maxFeatures = 250)
length(ecoregions_geoJSON$features)
#> [1] 232

Plot Data

leaflet() %>%
  addProviderTiles(provider = 'OpenStreetMap') %>%
  addGeoJSON(geojson = ecoregions_geoJSON$features) %>%
  fitBounds(-160,-52,160,60)

map1

example 2: Maritime Boundaries (EEZ)

Get Data

eezboundaries_geoJSON <- mr_geojson(key = "MarineRegions:eez", maxFeatures = 1)

Plot Data

leaflet() %>%
  addProviderTiles(provider = 'OpenStreetMap') %>%
  addGeoJSON(geojson = eezboundaries_geoJSON$features) %>%
  fitBounds(39,11,83,-10)

map2

Get Shape

example 1: Marine Ecoregions of the World (MEOW)

Select region

ecoregions_shp <- mr_shp(key = "Ecoregions:ecoregions", maxFeatures = 250)
class(ecoregions_shp)
#> [1] "sf"         "tbl_df"     "tbl"        "data.frame"

Plot data

leaflet() %>%
  addProviderTiles(provider = 'OpenStreetMap') %>%
  addPolygons(data = ecoregions_shp)%>%
  fitBounds(-182,-79,178,83)

map4

example 2: Maritime Boundaries (EEZ)

Select region

eezboundaries_shp <- mr_shp(key = "MarineRegions:eez", maxFeatures = 1)

Plot data

leaflet() %>%
  addProviderTiles(provider = 'OpenStreetMap') %>%
  addPolygons(data = eezboundaries_shp)

map5

Convert to WKT

example 1: Marine Ecoregions of the World (MEOW)

From GeoJSON

ecoregions_geoJSON <- mr_geojson(key = "Ecoregions:ecoregions", maxFeatures = 250)
ecoregions_wkt_fromGeoJSON <- mr_as_wkt(ecoregions_geoJSON, fmt = 2)
class(ecoregions_wkt_fromGeoJSON)
#> [1] "character"
ecoregions_wkt_fromGeoJSON[1]
#> [1] "MULTIPOLYGON (((170.917 -49.6906,171.563 -50.1232,171.798 -50.4726,172.03 -50.7601,172.182 -51.0473,172.304 -51.2351,172.353 -51.3837,172.387 -51.4418,172.436 -51.7239,172.555 -52.1999,172.571 -52.5695,172.475 -53.3739,172.315 -53.8679,172.134 -54.1382,171.874 -54.586,171.712 -54.7702,171.593 -54.9486,171.358 -55.1618,170.918 -55.4277,170.772 -55.5355,170.614 -55.6107,170.482 -55.6821,170.389 -55.7154,170.229 -55.7576,169.896 -55.8151,169.29 -55.9346,169.155 -55.942,169.064 -55.9396,168.998 -55.9316,168.762 -55.9148,168.552 -55.8905,168.482 -55.8798,167.844 -55.6895,167.754 -55.6715,167.581 -55.5565,167.259 -55.3861,166.944 -55.1303,166.664 -54.9394,166.158 -54.2928,168.737 -49.6441,170.211 -49.6755,170.917 -49.6906),(169.125 -52.5761,169.162 -52.5781,169.186 -52.577,169.226 -52.5653,169.238 -52.5543,169.236 -52.539,169.217 -52.5283,169.21 -52.4858,169.209 -52.4658,169.212 -52.4582,169.208 -52.4442,169.174 -52.4433,169.164 -52.4458,169.003 -52.5042,169 -52.5189,169.008 -52.5361,169.017 -52.5481,169.028 -52.5592,169.113 -52.5742,169.125 -52.5761)))"

From shp object (using the sf package)

ecoregions_shp <- mr_shp(key = "Ecoregions:ecoregions", maxFeatures = 250)
ecoregions_shp_geom <- st_geometry(ecoregions_shp)
ecoregions_wkt_fromshp <- st_as_text(ecoregions_shp_geom)
ecoregions_wkt_fromshp[1]
#> [1] "MULTIPOLYGON (((170.9169 -49.6906, 171.563 -50.1232, 171.798 -50.47261, 172.0302 -50.76008, 172.1817 -51.0473, 172.3036 -51.23506, 172.3531 -51.3837, 172.3874 -51.44183, 172.4355 -51.72388, 172.5552 -52.19995, 172.5706 -52.56945, 172.4755 -53.37392, 172.3147 -53.8679, 172.1341 -54.13821, 171.8737 -54.58598, 171.7118 -54.77017, 171.5926 -54.94858, 171.358 -55.16183, 170.9178 -55.42768, 170.7718 -55.53547, 170.6138 -55.61074, 170.4823 -55.68208, 170.3887 -55.71538, 170.2292 -55.7576, 169.8963 -55.81512, 169.2905 -55.93462, 169.1551 -55.942, 169.0643 -55.93962, 168.9983 -55.93158, 168.7618 -55.91483, 168.5524 -55.89051, 168.4819 -55.87975, 167.844 -55.68949, 167.7536 -55.6715, 167.5815 -55.5565, 167.2593 -55.38606, 166.9435 -55.13026, 166.6638 -54.93936, 166.1577 -54.29278, 168.7368 -49.64412, 170.2105 -49.67554, 170.9169 -49.6906), (169.1247 -52.57611, 169.1617 -52.57805, 169.1855 -52.57696, 169.2262 -52.56528, 169.2382 -52.55431, 169.2362 -52.53904, 169.2169 -52.52834, 169.2097 -52.48584, 169.2094 -52.46579, 169.2123 -52.45819, 169.208 -52.44416, 169.1741 -52.44332, 169.1636 -52.44583, 169.0033 -52.50417, 169.0001 -52.51889, 169.0078 -52.53612, 169.0172 -52.54806, 169.0283 -52.55916, 169.113 -52.57417, 169.1247 -52.57611)))"

More detailed example using the Black Sea Ecoregion only

ecoregions_blacksea <- subset(ecoregions_shp, ecoregions_shp$ecoregion == "Black Sea")
class(ecoregions_blacksea)
#> [1] "sf"         "tbl_df"     "tbl"        "data.frame"

ecoregions_blacksea_geom <- st_geometry(ecoregions_blacksea) 
class(ecoregions_blacksea_geom)
#> [1] "sfc_MULTIPOLYGON" "sfc"

ecoregions_blacksea_wkt <- st_as_text(ecoregions_blacksea_geom)
class(ecoregions_blacksea_wkt)
#> [1] "character"
ecoregions_blacksea_wkt
#> [1] "MULTIPOLYGON (((29.06161 41.07999, 29.05535 41.08221, 29.05555 41.0825, 29.06839 41.12311, 29.03922 41.15454, 29.07101 41.17436, 29.1074 41.22156, 29.08888 41.24625, 29.04846 41.25555, 29.02888 41.24388, 28.93804 41.2561, 28.83499 41.28222, 28.7925 41.29721, 28.45805 41.41943, 28.33195 41.46944, 28.29291 41.48583, 28.26078 41.50207, 28.24277 41.50888, 28.21694 41.5236, 28.19722 41.53791, 28.13222 41.59417, 28.09055 41.63138, 28.07666 41.64777, 27.96764 41.82847, 27.96548 41.86361, 27.98773 41.89051, 28.03249 41.90916, 28.02833 41.93748, 28.01306 41.98222, 28.0218 41.99416, 28.00056 42.03708, 27.96861 42.07249, 27.93889 42.10305, 27.89916 42.13361, 27.85721 42.16416, 27.78055 42.22722, 27.75541 42.2543, 27.70389 42.36889, 27.70034 42.39528, 27.67917 42.41832, 27.61666 42.44721, 27.55388 42.44887, 27.5152 42.43514, 27.46499 42.44944, 27.44959 42.47298, 27.49583 42.53583, 27.51069 42.55222, 27.6325 42.63165, 27.73291 42.71111, 27.77194 42.71361, 27.80555 42.70805, 27.89409 42.70306, 27.89812 42.78402, 27.87917 42.8411, 27.90167 42.85555, 27.90388 42.89111, 27.89638 42.92499, 27.88639 43.01415, 27.88736 43.03694, 27.945 43.16721, 28.01583 43.22582, 28.05332 43.28083, 28.07167 43.32277, 28.08485 43.35707, 28.12721 43.39499, 28.15041 43.40445, 28.29972 43.42165, 28.33596 43.42165, 28.3825 43.41276, 28.40846 43.39846, 28.43139 43.38943, 28.45333 43.38528, 28.47945 43.39333, 28.52555 43.42582, 28.54166 43.43777, 28.55764 43.45332, 28.59249 43.50332, 28.60513 43.53396, 28.60041 43.56186, 28.57757 43.59165, 28.57 43.68971, 28.57639 43.73304, 28.58324 43.74777, 28.57944 43.76138, 28.58528 43.80081, 28.59499 43.83166, 28.61361 43.88165, 28.64722 43.95443, 28.66028 43.97555, 28.63277 44.15749, 28.62888 44.27194, 28.62959 44.29652, 28.6443 44.3277, 28.7518 44.42611, 28.80116 44.46146, 28.82832 44.47959, 28.84527 44.49721, 28.8768 44.53569, 28.91306 44.58805, 28.92777 44.61749, 28.80814 44.53143, 28.7575 44.51972, 28.76306 44.62558, 28.79652 44.63085, 28.81967 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46.18138, 35.03389 46.25013, 35.05666 46.26013, 35.11076 46.29408, 35.11971 46.29943, 35.20541 46.38707, 35.21569 46.41027, 35.19805 46.44331, 35.34798 46.34963, 35.3343 46.32166, 35.28291 46.27055, 35.26756 46.25981, 35.24804 46.23333, 35.20429 46.18444, 35.18527 46.17235, 35.1518 46.1636, 35.10942 46.15554, 35.05465 46.14165, 34.98012 46.08603, 34.99673 46.07422, 35.12443 46.11249, 35.16061 46.12854, 35.19624 46.15443, 35.2812 46.25453, 35.35222 46.33166, 35.48422 46.44165, 35.51819 46.4554, 35.54845 46.46083, 35.58276 46.47222, 35.62804 46.48916, 35.64985 46.50165, 35.69916 46.54472, 35.72874 46.57305, 35.76055 46.5929, 35.81179 46.61859, 35.9072 46.65109, 36.06749 46.67028, 36.19319 46.66694, 36.21457 46.65957, 36.23902 46.63401, 36.35457 46.69526, 36.37554 46.70889, 36.39554 46.71721, 36.41666 46.72444, 36.51512 46.75306, 36.6136 46.77527, 36.70013 46.77249, 36.74166 46.76459, 36.76388 46.7511, 36.86791 46.79083, 36.91667 46.82554, 36.99304 46.85749, 37.03951 46.87403, 37.07833 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46.09778, 38.26666 46.13096, 38.22069 46.13568, 38.19623 46.12957, 38.1761 46.11832, 38.16152 46.1036, 38.09554 45.94498, 38.07055 45.95361, 38.0954 46.05221, 38.07638 46.05916, 38.05222 46.05916, 37.95116 46.032, 37.92749 46.01166, 37.91276 45.98749, 37.89068 45.92291, 37.8843 45.8727, 37.87693 45.83887, 37.86832 45.81666, 37.85124 45.78305, 37.83457 45.76138, 37.80986 45.73985, 37.7197 45.69137, 37.69276 45.67832, 37.66551 45.66027, 37.70276 45.62804, 37.70484 45.6204, 37.66956 45.61518, 37.64526 45.62916, 37.63085 45.65814, 37.6025 45.65055, 37.59137 45.62748, 37.58374 45.42742, 37.60749 45.41533, 37.63139 45.42387, 37.64624 45.45152, 37.64749 45.52026, 37.62457 45.56756, 37.64267 45.58678, 37.70166 45.55777, 37.74082 45.38304, 37.73463 45.29881, 37.71333 45.2961, 37.59693 45.3277, 37.52089 45.36207, 37.4836 45.34665, 37.46193 45.33472, 37.43443 45.32332, 37.39777 45.31637, 37.31693 45.32166, 37.20416 45.32415, 37.21082 45.29888, 37.31385 45.27541, 37.22638 45.24887, 37.15416 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38.87582 44.17083, 38.90083 44.16442, 38.92957 44.16, 38.96429 44.14721, 39.05166 44.08027, 39.28694 43.92695, 39.37679 43.85971, 39.39193 43.84388, 39.41694 43.80999, 39.4543 43.77096, 39.47193 43.75777, 39.58999 43.67471, 39.69664 43.60166, 39.84541 43.51041, 39.87457 43.49096, 39.89256 43.46527, 39.9169 43.41293, 39.94554 43.39694, 40.00297 43.37926, 40.05139 43.37027, 40.10916 43.35388, 40.21844 43.31641, 40.25444 43.27444, 40.27193 43.2468, 40.36055 43.16332, 40.66137 43.09193, 40.72666 43.08929, 40.80208 43.0786, 40.83708 43.06985, 40.85999 43.05915, 40.87694 43.04472, 40.90887 43.00194, 40.93645 42.97359, 40.96166 42.97499, 41.00262 42.9877, 41.0261 42.97818, 41.07541 42.92318, 41.08498 42.89055, 41.09819 42.84679, 41.15908 42.78978, 41.19076 42.79617, 41.21561 42.79957, 41.37137 42.75777, 41.41957 42.74166, 41.44082 42.72986, 41.4561 42.71429, 41.46998 42.69416, 41.48444 42.66874, 41.50055 42.62498, 41.52506 42.5502, 41.52555 42.5211, 41.52887 42.48664, 41.53639 42.45277, 41.54762 42.40577, 41.5929 42.35442, 41.63277 42.27194, 41.64666 42.22026, 41.6561 42.17583, 41.6529 42.14763, 41.65915 42.12582, 41.76082 41.96138, 41.77472 41.88562, 41.77609 41.84193, 41.77387 41.81555, 41.72873 41.72333, 41.68387 41.67166, 41.64638 41.64423, 41.6161 41.63443, 41.53155 41.52388, 41.49875 41.48151, 41.41303 41.39444, 41.38495 41.37371, 41.3379 41.37068, 41.23471 41.32471, 41.20887 41.30767, 41.20877 41.3076, 41.17169 41.2853, 41.04387 41.23026, 40.92125 41.18672, 40.88276 41.1886, 40.84898 41.19558, 40.77275 41.16638, 40.72971 41.13694, 40.63777 41.07861, 40.58055 41.0547, 40.48166 41.0425, 40.46165 41.04318, 40.39332 41.01864, 40.36554 41.00235, 40.3582 40.9941, 40.34527 40.98359, 40.26915 40.95721, 40.14999 40.92027, 40.12859 40.91639, 40.10666 40.91707, 40.08138 40.92165, 39.91249 40.95665, 39.72142 41.01003, 39.69056 41.00306, 39.55111 41.05221, 39.48736 41.09757, 39.41423 41.10673, 39.38541 41.08916, 39.3536 41.07638, 39.32665 41.06611, 39.28472 41.05152, 39.26291 41.0493, 39.23305 41.05638, 39.21083 41.07416, 39.16583 41.0825, 39.15472 41.0734, 39.14792 41.06555, 39.12388 41.05721, 39.09833 41.05082, 39.05471 41.0411, 39.00576 41.03375, 38.92902 41.04096, 38.81611 41.01, 38.7836 40.99695, 38.76416 40.98152, 38.73444 40.96305, 38.70999 40.95, 38.5186 40.92027, 38.42055 40.91221, 38.38964 40.92001, 38.35583 40.91028, 38.32777 40.91847, 38.15999 40.94943, 38.11609 40.95547, 38.09722 40.9636, 37.98819 40.98764, 37.93443 40.98831, 37.89513 40.98236, 37.81486 41.02722, 37.79361 41.04555, 37.78284 41.06561, 37.78541 41.09874, 37.75361 41.11917, 37.68277 41.1352, 37.65624 41.11749, 37.62972 41.07943, 37.61041 41.05055, 37.58138 41.03749, 37.53965 41.02889, 37.49917 41.04194, 37.41776 41.08055, 37.29666 41.13694, 37.23805 41.14111, 37.15228 41.14491, 37.1293 41.1468, 37.05234 41.17041, 37.03222 41.1936, 37.02945 41.22417, 37.02881 41.2575, 37.0043 41.27901, 36.93083 41.31582, 36.86402 41.34513, 36.81 41.35556, 36.73445 41.36305, 36.71166 41.365, 36.65777 41.36083, 36.6125 41.3475, 36.5711 41.29569, 36.53514 41.26985, 36.49249 41.24791, 36.46694 41.2411, 36.43151 41.24207, 36.40013 41.25416, 36.34499 41.28333, 36.24027 41.35611, 36.17276 41.41943, 36.12379 41.47574, 36.11714 41.5093, 36.13319 41.5443, 36.13111 41.59513, 36.1136 41.63208, 36.07457 41.67484, 36.0561 41.68875, 35.97305 41.73222, 35.95305 41.73458, 35.93138 41.72555, 35.91111 41.71306, 35.87666 41.70083, 35.77679 41.67152, 35.64388 41.63666, 35.61694 41.63097, 35.57666 41.62721, 35.54942 41.63082, 35.50639 41.63805, 35.49317 41.64387, 35.47944 41.64666, 35.45638 41.6536, 35.28665 41.71306, 35.26527 41.72582, 35.21249 41.77056, 35.13694 41.85805, 35.09638 41.91867, 35.0993 41.96721, 35.11499 42.00097, 35.15737 42.02532, 35.04721 42.06527, 35.02749 42.07804, 35.00638 42.0861, 34.97888 42.09195, 34.94898 42.08593, 34.91721 42.03665, 34.88971 42.01027, 34.85082 41.97944, 34.8325 41.96832, 34.7925 41.95652, 34.74443 41.94666, 34.71555 41.94249, 34.64139 41.93971, 34.61472 41.94027, 34.55471 41.94805, 34.36444 41.94333, 34.31527 41.94082, 34.25555 41.94762, 34.20943 41.95943, 34.10195 41.97611, 33.99389 41.98111, 33.92388 41.97306, 33.83472 41.97499, 33.77416 41.97777, 33.73805 41.97971, 33.63221 41.98638, 33.59888 41.99, 33.5732 41.99513, 33.54361 42.00416, 33.3986 42.01692, 33.3386 42.01986, 33.21972 41.97638, 33.06833 41.93805, 32.98701 41.90639, 32.95083 41.88499, 32.91221 41.87499, 32.82805 41.85915, 32.79804 41.85889, 32.77277 41.85805, 32.72137 41.84916, 32.69249 41.83943, 32.68444 41.83376, 32.6027 41.8318, 32.53027 41.80917, 32.2775 41.71944, 32.17944 41.63333, 32.16069 41.60888, 31.99222 41.5425, 31.79789 41.45778, 31.74777 41.43305, 31.61471 41.37944, 31.55249 41.36277, 31.42153 41.27901, 31.41 41.21007, 31.37555 41.17055, 31.34055 41.14263, 31.33722 41.13722, 31.29889 41.11388, 31.23347 41.0893, 31.07333 41.07832, 30.98028 41.075, 30.95474 41.07457, 30.93361 41.07471, 30.87972 41.07694, 30.75722 41.08646, 30.60611 41.13388, 30.51694 41.14333, 30.49347 41.14722, 30.42505 41.16497, 30.37694 41.17499, 30.35514 41.18604, 30.3268 41.20305, 30.28472 41.20806, 30.26166 41.19222, 30.195 41.15138, 30.15861 41.14069, 29.98444 41.13958, 29.87472 41.14541, 29.86221 41.14723, 29.75472 41.16305, 29.62163 41.17576, 29.5796 41.173, 29.4711 41.19555, 29.29028 41.22805, 29.21979 41.23688, 29.16 41.22457, 29.13348 41.21277, 29.08735 41.17527, 29.07458 41.15943, 29.08822 41.13958, 29.08822 41.11862, 29.06161 41.07999)))"

Gazetteer Record by Name

example: High Seas

highseas_info <- mr_geo_code(place = "High Seas")
class(highseas_info)
#> [1] "data.frame"
str(highseas_info)
#> 'data.frame':    28 obs. of  14 variables:
#>  $ MRGID                     : int  63203 25721 25714 49698 25723 25713 26566 25727 25715 25712 ...
#>  $ gazetteerSource           : chr  "United Nations Convention on the Law of the Sea of 10 December 1982" "VLIZ (2020). Intersect of IHO Sea Areas and Exclusive Economic Zones (version 4)   " "VLIZ (2020). Intersect of IHO Sea Areas and Exclusive Economic Zones (version 4)   " "VLIZ (2020). Intersect of IHO Sea Areas and Exclusive Economic Zones (version 4)   " ...
#>  $ placeType                 : chr  "High Seas" "Marine Region" "Marine Region" "Marine Region" ...
#>  $ latitude                  : num  0 11.4 85.1 74.7 11.4 ...
#>  $ longitude                 : num  0 64.03 -7.33 39.36 87.2 ...
#>  $ minLatitude               : num  -90 0.864 72.783 72.102 5.68 ...
#>  $ minLongitude              : num  -180 54.4 -180 33.7 83.4 ...
#>  $ maxLatitude               : num  90 21.8 90 77 18.4 ...
#>  $ maxLongitude              : num  180 70.4 180 44 90.7 ...
#>  $ precision                 : logi  NA NA NA NA NA NA ...
#>  $ preferredGazetteerName    : chr  "High Seas" "High Seas of the Arabian Sea" "High Seas of the Arctic Ocean" "High Seas of the Barentsz Sea" ...
#>  $ preferredGazetteerNameLang: chr  "English" "English" "English" "English" ...
#>  $ status                    : chr  "standard" "standard" "standard" "standard" ...
#>  $ accepted                  : int  63203 25721 25714 49698 25723 25713 26566 25727 25715 25712 ...

Contributors

• Scott Chamberlain
• Francois Michonneau
• Pieter Provoost
• Michael Sumner
• Lennert Schepers
• Salvador Fernandez

Meta

• Please report any issues or bugs.
• License: MIT
• Get citation information for mregions in R doing citation(package = 'mregions')
• Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.