Skip to content

The Atlas Aquatica project is an international effort to estimate the global value of the scuba diving industry

Notifications You must be signed in to change notification settings

CBMC-GCMP/AtlasAquatica

Repository files navigation

Atlas Aquatica

Our endeavor, the Atlas Aquatica, is a result of an international collaboration among the Centro para la Biodiversidad Marina y la Conservación in Mexico; the Scripps Institution of Oceanography – University of California San Diego, and the University of California Santa Barbara, USA; the University of British Columbia and the Simon Fraser University, Canada; and the TREES, North-West University, Potchefstroom, South Africa. Here, we will detail the distribution of the diving sites, provide a global economic estimate of the diving operators, and identify gaps in knowledge.

Datasets

We have built three main datasets using webscraping and surveyed data.

  1. A dataset of diving areas webscraped from Flickr images:
library(tidyverse)
read_rds("data/diving_sites_flickr_webscraped_images.RDS") |> 
          glimpse()
Rows: 355,589
Columns: 11
$ X          <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 15, 16, 17, 18, 22, 23, …
$ owner      <chr> "57069931@N00", "57069931@N00", "57069931@N00", "57069931@N…
$ datetaken  <chr> "1/3/2004", "1/3/2004", "1/3/2004", "1/3/2004", "1/3/2004",…
$ id         <dbl> 3084212557, 3085049516, 3085049456, 3085049406, 3085049330,…
$ longitude  <dbl> -68.931484, -68.931484, -68.931484, -68.931484, -68.931484,…
$ latitude   <dbl> 12.10252, 12.10252, 12.10252, 12.10252, 12.10252, 12.10252,…
$ url        <chr> "https://live.staticflickr.com/3285/3084212557_204c4715c2_c…
$ term       <chr> "buceo", "buceo", "buceo", "buceo", "buceo", "buceo", "buce…
$ FeatureCla <chr> "Coastline", "Coastline", "Coastline", "Coastline", "Coastl…
$ UNION      <chr> "Curacao", "Curacao", "Curacao", "Curacao", "Curacao", "Cur…
$ ISO_TER1   <chr> "CUW", "CUW", "CUW", "CUW", "CUW", "CUW", "CUW", "CUW", "ES…
  1. A dataset of coastal infrastructures (hotels, airports, marinas and ports):
read_rds("data/coastal_infraestructure_v1.RDS") |> 
          glimpse()
Rows: 374,004
Columns: 11
$ name         <chr> "Tulcea Airport", "Kirvad Tour Tulcea - Transfer Aeroport…
$ type         <chr> "Airport", "Airport shuttle service", "Airport", "Airport…
$ subtypes     <chr> "Airport", "Airport shuttle service, Transportation servi…
$ category     <chr> "Aeroport", "Airport shuttle service", "Aeroport", "Servi…
$ full_address <chr> NA, "Strada 1848 nr 1, Tulcea 820175", "Murighiol", "Stra…
$ city         <chr> NA, "Tulcea", "Murighiol", "Tulcea", "Tulcea", NA, "Const…
$ postal_code  <chr> NA, "820175", NA, "852005", "820169", "907195", "900196",…
$ state        <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
$ country      <chr> "Romania", "Romania", "Romania", "Romania", "Romania", "R…
$ latitude     <dbl> 45.06493, 45.17804, 44.98563, 45.16966, 45.17949, 44.3501…
$ longitude    <dbl> 28.71774, 28.78591, 29.21340, 28.78958, 28.80377, 28.4818…
  1. A dataset of the scuba diving operators webscraped with their survey responses:
read_csv("data/scuba_diving_operators_v_1_11102022_encr.csv") |> 
          glimpse()
Rows: 12,542
Columns: 68
$ ID                     <dbl> 48563, 48564, 48565, 48566, 48568, 48569, 48571…
$ continent              <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Region                 <chr> "Americas", "Americas", "Americas", "Americas",…
$ Subregion              <chr> "Latin America and the Caribbean", "Latin Ameri…
$ Country                <chr> "mexico", "mexico", "mexico", "mexico", "mexico…
$ city                   <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ business_name          <dbl> 556, 594, 589, 711, 831, 1066, 1357, 1433, 1489…
$ name_sur               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ name_op                <dbl> 483, 511, 507, 582, 664, 813, 1016, 1061, 1107,…
$ day_trip               <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ live_aboard            <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ marine_diving          <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q0                     <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q14                    <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q20                    <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Currency               <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q23                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q24                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q25                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q32                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q33                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q34                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q49                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q50                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q51                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q52                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q53                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q54                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q55                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q56                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q57                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q58                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q59                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q60                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q61                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q63                    <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q64                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q65                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q66                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q67                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q68                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q69                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q70                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q71                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q72                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q73                    <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q74                    <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q117                   <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q118                   <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q119                   <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q120                   <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q121                   <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q122                   <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q123                   <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q124                   <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ data_counts_OP         <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ `Alphabetic Code`      <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ USD2020                <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q34_USD                <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q67_USD                <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q70_USD                <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q71_USD                <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q117_USD               <dbl> 250.0000, 105.0000, 95.0000, 100.0000, 75.0000,…
$ Q118_USD               <dbl> 0.00000, 121.00000, 65.00000, 65.00000, 25.0000…
$ Q123_USD               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ Q124_USD               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ scuba_clients_mid      <dbl> 240, 280, 638, 410, 332, 2040, 432, 126, 504, 1…
$ snorkeling_clients_mid <dbl> 2.4, 360.0, 90.0, 41.0, 222.0, 1360.0, 24.0, 10…

The diving operators dataset has been encrypted and some information omitted in order to protect the privacy of the operators.

  1. Literature review of marine tourism economic estimates:
read_csv("data/Literature_economic_value.csv") |> 
          glimpse()
Rows: 32
Columns: 21
$ ...1                               <dbl> 2, 3, 4, 6, 7, 14, 17, 24, 29, 31, …
$ ID                                 <chr> "3a", "4a", "5a", "7a", "8a", "18a"…
$ `Publication Year`                 <dbl> NA, 2017, 2014, 2008, 2020, 2021, 2…
$ Author                             <chr> "Pendleton, Linwood H", "Huveneers,…
$ Title                              <chr> "Understanding the Potential Econom…
$ `Publication Title`                <chr> NA, "Reviews in Fish Biology and Fi…
$ DOI                                <chr> NA, "10.1007/s11160-017-9486-x", "1…
$ relevant                           <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
$ Location                           <chr> "California", "Port Lincoln", "Sodw…
$ Country                            <chr> "USA", "Australia", "South Africa",…
$ Address                            <chr> "California, USA", "Port Lincoln, A…
$ Region                             <chr> "North America", "Oceania", "Africa…
$ `Economic value assessed`          <chr> "checked", "checked", "checked", "c…
$ `About MPAs`                       <chr> NA, NA, NA, NA, NA, "checked", NA, …
$ `Considers socio-economic aspects` <chr> "checked", NA, "checked", NA, NA, N…
$ `Useful for equity aspects`        <chr> NA, "checked", NA, NA, NA, "checked…
$ Notes                              <chr> "exclduing non-market values", "tot…
$ Value                              <chr> "annual gross revenue:  diving $138…
$ latitude                           <dbl> 36.701463, -34.728417, -27.548832, …
$ longitude                          <dbl> -118.755997, 135.856320, 32.671184,…
$ geometry                           <chr> "POINT (-118.755997 36.7014631)", "…

About

The Atlas Aquatica project is an international effort to estimate the global value of the scuba diving industry

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages