{"id":1176932,"date":"2021-04-07T10:30:11","date_gmt":"2021-04-07T17:30:11","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1176932"},"modified":"2021-04-09T07:26:04","modified_gmt":"2021-04-09T14:26:04","slug":"the-r-arcgis-bridge-in-2021-esri-developer-summit-plenary","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/analytics\/the-r-arcgis-bridge-in-2021-esri-developer-summit-plenary","title":{"rendered":"The R-ArcGIS Bridge at the 2021 Esri Developer Summit Plenary"},"author":7381,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23341],"tags":[759152,759442,41581,30241,31611],"industry":[],"product":[36561],"class_list":["post-1176932","blog","type-blog","status-publish","format-standard","hentry","category-analytics","tag-dev-summit-2021","tag-ecoregions","tag-jupyter-notebooks","tag-r","tag-r-arcgis-bridge","product-arcgis-pro"],"acf":{"short_description":"Read about the new and enhanced capabilities of the R-ArcGIS Bridge, R integration for ArcGIS Pro, in the 2021 Esri Developer Summit Plenary.","flexible_content":[{"acf_fc_layout":"content","content":"

The R-ArcGIS Bridge<\/a> is the R integration for ArcGIS Pro that opens up ways for enriching GIS workflows with rich statistical analysis packages of the R language. arcgisbinding<\/code>, the R package developed by the R-ArcGIS Bridge team, has new enhancements that we are excited to share at the 2021 Esri Developer Summit<\/a>. In addition to our tech workshop on leveraging the R-ArcGIS Bridge<\/a>, we will be showcasing the new features of arcgisbinding<\/code> at the plenary.<\/p>\n

Technology Highlights<\/strong><\/p>\n

    \n
  1. Working with R notebooks alongside ArcGIS Pro<\/li>\n
  2. Creating interactive maps in R notebooks<\/li>\n
  3. Calling geoprocessing tools from R<\/li>\n<\/ol>\n"},{"acf_fc_layout":"content","content":"

    Problem Definition<\/strong><\/h3>\n

    Ecoregions are geographic regions of ecological systems based on vegetation, climate conditions, and land cover.<\/p>\n

    In Part 1 of this blog series, we learned about the famous Bailey\u2019s Ecoregions map.\u00a0 This map is an expert-driven<\/em> interpretation of the geography of US ecoregions, which was hand-drawn by US Forest Service researchers in 1994.<\/p>\n

    Bailey’s Ecoregions are hierarchical in their size. The largest regions are domains and they group spatial units with respect to their similarities in precipitation and temperature. Divisions are subgroups inside domains and are defined with respect to similarities in precipitation and temperature levels and patterns. Lastly, divisions are made up of provinces, which are differentiated based on vegetation and other natural land cover similarities.<\/p>\n

    Ecoregion provinces defined by Bailey are given in the map below:<\/p>\n"},{"acf_fc_layout":"storymap","title":"","description":"

    Bailey's ecoregion provinces for the conterminous United States<\/p>\n","static":false,"storymap_url":"https:\/\/arcgis.com\/apps\/Minimalist\/index.html?appid=2bf1eefc0b2e4fc7adf14355962f0197<\/a>"},{"acf_fc_layout":"content","content":"

    Using datasets representing climate and vegetation conditions from the same period of the 1990s, we applied a series of regionalization (clustering) algorithms in ArcGIS and R to create several data-driven<\/em> interpretations of these US ecoregions.<\/p>\n

    Working with R Notebooks Alongside ArcGIS Pro<\/strong><\/h3>\n

    We will use R notebooks inside an ArcGIS Pro Conda environment. The Conda package r-arcgis-essentials<\/a> will be used to set up this computational environment. If you would like to learn the detailed steps of setting up an R notebook environment to run alongside ArcGIS Pro, please visit this blog<\/a>.<\/p>\n

    Once the r-arcgis-essentials<\/code> package is installed, it enables R notebooks, the R-ArcGIS Bridge, and commonly used spatial R packages, such as sf<\/code>, sp<\/code>, and raster<\/code>.<\/p>\n"},{"acf_fc_layout":"youtube","start_time":"0","end_time":"","youtube_video_url":"