{"id":187591,"date":"2013-04-03T21:13:07","date_gmt":"2013-04-04T04:13:07","guid":{"rendered":"http:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=187591"},"modified":"2018-12-18T11:24:02","modified_gmt":"2018-12-18T19:24:02","slug":"setting-a-new-course-for-the-arc-marine-data-model","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-desktop\/water\/setting-a-new-course-for-the-arc-marine-data-model","title":{"rendered":"Setting a New Course for the Arc Marine Data Model"},"author":5471,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23341,22771,23051],"tags":[39211,24981,25331,22821,31501],"industry":[],"product":[36991],"class_list":["post-187591","blog","type-blog","status-publish","format-standard","hentry","category-analytics","category-natural-resources","category-water","tag-data-model","tag-hydro","tag-marine-science-and-conservation","tag-oceans-and-maritime","tag-open-source","product-arcgis-desktop"],"acf":{"short_description":"\r\n\r\nOn April 2, 2013, an informal working group of twenty-five (including four Esri staffers) participated in a 1.5-hour webinar","flexible_content":[{"acf_fc_layout":"content","content":"<p><a href=\"http:\/\/blogs.esri.com\/esri\/arcgis\/files\/2013\/04\/ArcMarine_sml1.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-26783\" src=\"http:\/\/blogs.esri.com\/esri\/arcgis\/files\/2013\/04\/ArcMarine_sml1.jpg\" alt=\"\" width=\"171\" height=\"204\" \/><\/a><\/p>\n<p>On April 2, 2013, an informal working group of twenty-five (including four Esri staffers) participated in a 1.5-hour webinar to discuss the development of a new, improved version of the\u00a0<b><a href=\"http:\/\/dusk.geo.orst.edu\/djl\/arcgis\" target=\"new\">Arc Marine Data Model<\/a><\/b>\u00a0(also known as the \u201cMarine Data Model\u201d). This is an action item following on from the\u00a0<b><a href=\"http:\/\/blogs.esri.com\/esri\/arcgis\/2013\/02\/10\/setting-a-new-course-for-ocean-science\/\" target=\"new\">Esri Oceans Summit<\/a><\/b>\u00a0in November 2012, where great interest was shown in updating and thus improving the model.<\/p>\n<p>The Arc Marine data model was first widely released and published in a\u00a0<b><a href=\"http:\/\/dusk.geo.orst.edu\/djl\/arcgis\/book.html\" target=\"new\">research monograph by Esri Press<\/a><\/b>\u00a0in 2007. Despite the age of the model, its utility is still recognized and adoption of it appears to be ongoing, with several organizations seeking to standardize on it, particularly in Europe. Given the apparent demand for the model in the ocean community, Esri is going to fully support the model as a community-based information model\/template. To this end, I have assigned my ocean GIS product engineer, Shaun Walbridge, to learn the structure of the old 2007 model and to bring the\u00a0<a href=\"http:\/\/en.wikipedia.org\/wiki\/Unified_Modeling_Language\" target=\"new\">Unified Modeling Language (UML)<\/a>code up to compliance as appropriate, so that it works with our latest Esri technologies (chief among them ArcGIS for Desktop 10.1, and implementation in a file geodatabase rather than just a personal geodatabase). We are initially looking at updating the UML, realizing at the same time that there are now a variety of standards efforts for communities, data formats, metadata, etc. We want to consider how to leverage existing or emerging standards efforts. One issue is going to be that the physical data structure need not be constrained by any one category. For example, it is now common for people to use netCDF as a container not only for gridded model data, but also for time series points and trajectories. And our software can do it either way.<\/p>\n<p>The following topics were discussed during the webinar:<\/p>\n<ul>\n<li>Revisting the current data model (\u201cwhere we left off\u201d).<\/li>\n<li>Addressing the issue of Arc Marine being too generic \u2013 focusing the model on more specific application areas such as fisheries, marine ecology, estuaries, human dimensions.<\/li>\n<li>Development of a data input tool for Arc Marine.<\/li>\n<li>Consideration of multidimensional data, e.g., OGC CF netCDF, and improved loading of bathymetry and LiDAR data.<\/li>\n<li>interoperability of Arc Marine with\u00a0<b><a href=\"http:\/\/www.csc.noaa.gov\/digitalcoast\/publications\/cmecs\" target=\"new\">Coastal and Marine Ecological Classification Standard or CMECS<\/a><\/b>, and other standards such as INSPIRE and ISO 19156.<\/li>\n<li>Leveraging a possible CMECS ArcGIS toolbox, as an Arc Marine toolbox.<\/li>\n<li>Possible linkages of Arc Marine with Arc Hydro, Arc Hydro Groundwater, Seabed Survey Data Model and other data models.<\/li>\n<li>Best practices to define a web service platform for the model (including OGC WFS and WCS). In the coming year and beyond AGOL and other web based data and analysis services will be an even bigger part of everyone\u2019s day to day geospatial work. Working well with existing and emerging web services will be crucial to the success and growth of the new data model.<\/li>\n<li>Making the model open source (<b><a href=\"https:\/\/github.com\/Esri\" target=\"new\">with a presence on GitHub<\/a><\/b>) and leverage Esri\u2019s growing library of open source work.<\/li>\n<li>Validating of the updated model against new use cases and cartographic requirements.<\/li>\n<li>Development of a new tutorial to incorporate a broader range of ocean datasets from different regions of the world and possible workflows.<\/li>\n<li>Improving the documentation (Arc Marine, 2nd edition book) as we go along, hopefully in a collaborative online framework as suggested by Shaun (and which is seeking to set up).<\/li>\n<li>Reconvening this working group for further discussions at Monterey Bay GIS User Group Meeting, the Esri UC SIG, perhaps another webinar (with audio conference call instead of VoIP), and the Esri Ocean GIS Conference, November 5-7 in Redlands.<\/li>\n<\/ul>\n<hr \/>\n<p><b>Arc Marine Webinar \u2013 Tuesday, April 2nd, 2013, 09:00 -10:30 US Pacific<\/b><\/p>\n<p><b>Discussion Facilitator<\/b>: Dawn Wright, Esri Chief Scientist, dwright@esri.com<br \/>\n<b>Notetaker<\/b>: Shaun Walbridge, Esri Ocean GIS Product Engineer, swalbridge@esri.com<\/p>\n<p><b>Attending:<\/b><br \/>\nAlexandra Carvalho \u2013 Cmar Consulting<br \/>\nAlfonso Herrera \u2013 Instituto Franklin, Spain<br \/>\nBeatriz Ramos \u2013 Instituto Franklin, Spain<br \/>\nBecky Allee \u2013 NOAA<br \/>\nBrian Andrews \u2013 USGS<br \/>\nCelso Ferreira \u2013 GMU<br \/>\nDawn Wright \u2013 Esri<br \/>\nDori Dick \u2013 OSU \/ Hatfield<br \/>\nDrew Stephens \u2013 Esri<br \/>\nEi Fujioka \u2013 Duke<br \/>\nEla Dramowicz \u2013 NSCC<br \/>\nJason Roberts \u2013 Duke<br \/>\nJaydeep Pattanaik \u2013 NIIT Tech<br \/>\nJuan Antonio Bermejo \u2013 Observatorio Ambiental Granadilla, Spain<br \/>\nLisa Wedding \u2013 NOAA<br \/>\nMichael Blongewicz \u2013 Tele Atlas<br \/>\nNadine Golden \u2013 USGS<br \/>\nNuria Olvido \u2013 Instituto Espa\u00f1ol de Oceanograf\u00eda, Spain<br \/>\nPat Halpin \u2013 Duke<br \/>\nPat Iampietro \u2013 CSUMB<br \/>\nShaun Walbridge \u2013 Esri<br \/>\nSteve Kopp \u2013 Esri<br \/>\nTim Whiteaker \u2013 U Texas<br \/>\nTomas Follett \u2013 OSU \/ Hatfield<br \/>\nYassine Lassoued \u2013 Coastal and Marine Research Centre, Ireland<\/p>\n<p>The slides presented by Dawn, the detailed notes as recorded by Shaun, and a transcript of the chat session are available in this\u00a0<a href=\"http:\/\/dusk.geo.orst.edu\/djl\/arcgis\/ArcMarine_webinar.zip\"><b>20-Mb zip file<\/b><\/a>.<\/p>\n<p><i>Thanks to Steve Kopp, who contributed to this post.<\/i><\/p>\n"}],"authors":[{"ID":5471,"user_firstname":"Dawn","user_lastname":"Wright","nickname":"Dawn Wright","user_nicename":"deepseadawn","display_name":"Dawn Wright","user_email":"DWright@esri.com","user_url":"https:\/\/www.esri.com\/sciences","user_registered":"2018-03-02 00:17:11","user_description":"Dawn Wright joined Esri as Chief Scientist in October 2011, after 17 years as a Professor of Geography and Oceanography at Oregon State University. As Esri Chief Scientist, she is responsible for strengthening the scientific foundation for Esri software and services, while representing Esri to the international scientific community. Dawn also remains on the faculty of Oregon State University. Over the past 30 years she has developed and participated in several initiatives around the world to map, analyze, and preserve ocean terrains and ecosystems, and was elected to both the National Academy of Sciences and the National Academy of Engineering, as well as the American Academy of Arts &amp; Sciences for this work. Aside from GIS, Dawn is very much into road cycling, apricot green tea gummy bears, 18th-century pirates, her puppy Riley, and SpongeBob Squarepants.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/10\/biophoto2.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"related_articles":"","card_image":false,"wide_image":false},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Setting a New Course for the Arc Marine Data Model<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-desktop\/water\/setting-a-new-course-for-the-arc-marine-data-model\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" 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As Esri Chief Scientist, she is responsible for strengthening the scientific foundation for Esri software and services, while representing Esri to the international scientific community. Dawn also remains on the faculty of Oregon State University. Over the past 30 years she has developed and participated in several initiatives around the world to map, analyze, and preserve ocean terrains and ecosystems, and was elected to both the National Academy of Sciences and the National Academy of Engineering, as well as the American Academy of Arts &amp; Sciences for this work. Aside from GIS, Dawn is very much into road cycling, apricot green tea gummy bears, 18th-century pirates, her puppy Riley, and SpongeBob Squarepants.","sameAs":["https:\/\/www.esri.com\/sciences","https:\/\/www.facebook.com\/deepseadawn","https:\/\/www.instagram.com\/deepseadawn\/","https:\/\/www.linkedin.com\/in\/deepseadawn","https:\/\/x.com\/deepseadawn","https:\/\/en.wikipedia.org\/wiki\/Dawn_Wright"],"url":"https:\/\/www.esri.com\/arcgis-blog\/author\/deepseadawn"}]}},"text_date":"April 3, 2013","author_name":"Dawn Wright","author_page":"https:\/\/www.esri.com\/arcgis-blog\/author\/deepseadawn","custom_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/08\/Newsroom-Keyart-Wide-1920-x-1080.jpg","primary_product":"ArcMap","tag_data":[{"term_id":39211,"name":"Data Model","slug":"data-model","term_group":0,"term_taxonomy_id":39211,"taxonomy":"post_tag","description":"","parent":0,"count":10,"filter":"raw"},{"term_id":24981,"name":"hydro","slug":"hydro","term_group":0,"term_taxonomy_id":24981,"taxonomy":"post_tag","description":"","parent":0,"count":204,"filter":"raw"},{"term_id":25331,"name":"marine science and conservation","slug":"marine-science-and-conservation","term_group":0,"term_taxonomy_id":25331,"taxonomy":"post_tag","description":"","parent":0,"count":7,"filter":"raw"},{"term_id":22821,"name":"oceans and maritime","slug":"oceans-and-maritime","term_group":0,"term_taxonomy_id":22821,"taxonomy":"post_tag","description":"","parent":0,"count":102,"filter":"raw"},{"term_id":31501,"name":"open source","slug":"open-source","term_group":0,"term_taxonomy_id":31501,"taxonomy":"post_tag","description":"","parent":0,"count":15,"filter":"raw"}],"category_data":[{"term_id":23341,"name":"Analytics","slug":"analytics","term_group":0,"term_taxonomy_id":23341,"taxonomy":"category","description":"","parent":0,"count":1330,"filter":"raw"},{"term_id":22771,"name":"Natural Resources","slug":"natural-resources","term_group":0,"term_taxonomy_id":22771,"taxonomy":"category","description":"","parent":0,"count":262,"filter":"raw"},{"term_id":23051,"name":"Water","slug":"water","term_group":0,"term_taxonomy_id":23051,"taxonomy":"category","description":"","parent":0,"count":463,"filter":"raw"}],"product_data":[{"term_id":36991,"name":"ArcMap","slug":"arcgis-desktop","term_group":0,"term_taxonomy_id":36991,"taxonomy":"product","description":"","parent":36981,"count":325,"filter":"raw"}],"primary_product_link":"https:\/\/www.esri.com\/arcgis-blog\/?s=#&products=arcgis-desktop","_links":{"self":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog\/187591","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/types\/blog"}],"author":[{"embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/users\/5471"}],"replies":[{"embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/comments?post=187591"}],"version-history":[{"count":0,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog\/187591\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/media?parent=187591"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/categories?post=187591"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/tags?post=187591"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/industry?post=187591"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/product?post=187591"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}