The 3D approach enables viewers to see patterns in global data and across a long period of time that may be obscured when displayed on 2D map. While this particular use case involves hurricanes, using 3D visualizations can work for summarizing many large datasets and continuous or live feed data as well. This blog will explain why we chose to display the hurricane data in a three-dimensional format and offer some introductory steps to telling your own story with this type of data.<\/p>\n
First among those steps is to line up good sets of data.<\/p>\n
<\/p>\n
The\u00a0ArcGIS\u00a0Living Atlas:\u00a0A repository\u00a0of spatial data<\/h2>\n
Have you discovered the ArcGIS Living Atlas of the World<\/a>? Access this global resource for ready-to-use, authoritative data layers that are curated and prepared for seamless integration into your own workflows from within the Esri platform. The Living Atlas includes data from thousands of organizations that contribute their own layers, maps, apps, and stories with content that can spark the interest of every GIS user and storyteller worldwide.<\/p>\n The resources within Living Atlas are available in both ArcGIS Online and ArcGIS Pro as shown below.<\/p>\n <\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1005552,"id":1005552,"title":"","filename":"ProOnlineLAW-scaled.jpg","filesize":168437,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/ProOnlineLAW-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/story-maps\/3d-gis\/using-3d-data-to-understand-hurricane-patterns\/proonlinelaw","alt":"This image shows the two windows in ArcCatalog and ArcGISOnline from which to directly add in Living Atlas layers","author":"53101","description":"","caption":"Two windows in ArcCatalog and ArcGISOnline from which to directly add in Living Atlas layers","name":"proonlinelaw","status":"inherit","uploaded_to":1003252,"date":"2020-09-14 12:31:52","modified":"2020-09-14 12:32:43","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":929,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/ProOnlineLAW-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/ProOnlineLAW-scaled.jpg","medium-width":464,"medium-height":168,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/ProOnlineLAW-scaled.jpg","medium_large-width":768,"medium_large-height":279,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/ProOnlineLAW-scaled.jpg","large-width":1920,"large-height":697,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/ProOnlineLAW-1536x557.jpg","1536x1536-width":1536,"1536x1536-height":557,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/ProOnlineLAW-2048x743.jpg","2048x2048-width":2048,"2048x2048-height":743,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/ProOnlineLAW-826x300.jpg","card_image-width":826,"card_image-height":300,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/ProOnlineLAW-1920x696.jpg","wide_image-width":1920,"wide_image-height":696}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/ProOnlineLAW-scaled.jpg"},{"acf_fc_layout":"content","content":" <\/p>\n We created the Tropical Cyclones story using two Living Atlas feature layers that are available from the National Oceanic and Atmospheric Administration (NOAA). These global layers are drawn from historical archives of cyclones or hurricanes since 1842 and are continuously updated through the previous calendar year (2019, at the time of this project). We used two feature layers: Historical Tracks<\/a> and Historical Points<\/a>. Each layer contains attributes that are rich in information, such as a storm\u2019s name, date, maximum wind speed, pressure, and monitoring basin.<\/p>\n The beauty of using Living Atlas layers is that you can run your own analysis on them just as you would with your own local layers. For this project we used dynamic feature binning<\/a>, a method for visually aggregating large amounts of data, to make sense of this:<\/p>\n <\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1005562,"id":1005562,"title":"","filename":"PointsLines-scaled.jpg","filesize":373393,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/PointsLines-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/story-maps\/3d-gis\/using-3d-data-to-understand-hurricane-patterns\/pointslines","alt":"Image of the NOAA archive of cyclones. Points are covering the North Atlantic Basin and the tracks cover the North Indian and Eastern Pacific Basins.","author":"53101","description":"","caption":"The NOAA archive of cyclones. Points are covering the North Atlantic Basin and the tracks cover the North Indian and Eastern Pacific Basins.","name":"pointslines","status":"inherit","uploaded_to":1003252,"date":"2020-09-14 12:33:00","modified":"2020-09-14 12:33:40","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":787,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/PointsLines-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/PointsLines-scaled.jpg","medium-width":464,"medium-height":143,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/PointsLines-scaled.jpg","medium_large-width":768,"medium_large-height":236,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/PointsLines-scaled.jpg","large-width":1920,"large-height":590,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/PointsLines-1536x472.jpg","1536x1536-width":1536,"1536x1536-height":472,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/PointsLines-2048x629.jpg","2048x2048-width":2048,"2048x2048-height":629,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/PointsLines-826x254.jpg","card_image-width":826,"card_image-height":254,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/PointsLines-1920x590.jpg","wide_image-width":1920,"wide_image-height":590}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/PointsLines-scaled.jpg"},{"acf_fc_layout":"content","content":" <\/p>\n Feature binning works great when dealing with 671,093 track lines and 684,363 points! Binning clusters your data into equal hexagons that allow you to visualize patterns that emerge from your data related to space and time Almost instantly hotspots emerge, and for this project, the seasonal pulse of cyclones worldwide came to life:\u00a0\u00a0\u00a0<\/span><\/p>\n <\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1005572,"id":1005572,"title":"Indian Basins Frequency","filename":"Indian-Basins-Frequency.gif","filesize":1661638,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Indian-Basins-Frequency.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/story-maps\/3d-gis\/using-3d-data-to-understand-hurricane-patterns\/indian-basins-frequency","alt":"This animated gif is a sample of the cyclone frequency map from the story. It is highlighting the Indian Basin.","author":"53101","description":"","caption":"A sample of the cyclone frequency map over the course of a year, highlighting the Indian Basin.","name":"indian-basins-frequency","status":"inherit","uploaded_to":1003252,"date":"2020-09-14 12:33:56","modified":"2020-09-16 04:07:25","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1200,"height":675,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Indian-Basins-Frequency-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Indian-Basins-Frequency.gif","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Indian-Basins-Frequency.gif","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Indian-Basins-Frequency.gif","large-width":1200,"large-height":675,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Indian-Basins-Frequency.gif","1536x1536-width":1200,"1536x1536-height":675,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Indian-Basins-Frequency.gif","2048x2048-width":1200,"2048x2048-height":675,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Indian-Basins-Frequency-826x465.gif","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Indian-Basins-Frequency.gif","wide_image-width":1200,"wide_image-height":675}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Indian-Basins-Frequency.gif"},{"acf_fc_layout":"content","content":" Before embarking down the 3D road, it\u2019s always a good idea to stop and ask yourself\u00a0\u201cTo 3D or not to 3D<\/a>?\u201d Will using 3D add additional insight into the \u201cstory of the data\u201d or is it a visual (or navigational) distraction? Is the extent of the dataset suitable to exploring in a global 3D view? The eight questions posed in the blog post by Mark Harrower linked above are useful concepts to keep in mind; sometimes a 2D map is a more effective communication tool for the data you\u2019re working with.<\/p>\n In the case of hurricane tracks, though, using 3D visualizations allows us to more clearly and dramatically see the changes in severity and pace over a storm\u2019s life. While relating hurricane data in 3D is not brand new<\/a>, we came up with a new way to visually convey the data.<\/p>\n We\u00a0wanted to create visualizations that accentuate the feelings of strength and danger evoked by the larger and most dangerous storms from recent history.\u00a0The symbology should,\u00a0at a glance,\u00a0clearly communicate the most important attributes of a storm: wind speed, storm speed, storm duration, and storm intensity\/category. To\u00a0achieve our project goals and\u00a0optimize the information in\u00a0the dataset, we stretched each of the 2D track lines vertically and used a combination of 3D symbols for each track\u2013\u2013a look that was partly inspired by a COVID-19 stay-at-home craft project: stained glass!<\/p>\n <\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1004862,"id":1004862,"title":"Stained Glass Inspiration","filename":"Stained-Glass-Inspiration-1-e1600102934377.jpg","filesize":249885,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Stained-Glass-Inspiration-1-e1600102934377.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/story-maps\/3d-gis\/using-3d-data-to-understand-hurricane-patterns\/stained-glass-inspiration-1","alt":"Stained glass is laid out on a table to form a multicolored mountain design. The work-in-progress craft inspiration for the vibrant \u201cstained glass\u201d look of the 3D storm tracks. (Design credit: Silvia Casas)","author":"53101","description":"","caption":"The work-in-progress craft inspiration for the vibrant \u201cstained glass\u201d look of the 3D storm tracks. (Design credit: Silvia Casas)","name":"stained-glass-inspiration-1","status":"inherit","uploaded_to":1003252,"date":"2020-09-11 20:42:04","modified":"2020-09-14 12:35:48","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1500,"height":1125,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Stained-Glass-Inspiration-1-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Stained-Glass-Inspiration-1-e1600102934377.jpg","medium-width":348,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Stained-Glass-Inspiration-1-e1600102934377.jpg","medium_large-width":768,"medium_large-height":576,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Stained-Glass-Inspiration-1-e1600102934377.jpg","large-width":1440,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Stained-Glass-Inspiration-1-1536x1152.jpg","1536x1536-width":1536,"1536x1536-height":1152,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Stained-Glass-Inspiration-1-e1600102934377.jpg","2048x2048-width":1500,"2048x2048-height":1125,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Stained-Glass-Inspiration-1-620x465.jpg","card_image-width":620,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Stained-Glass-Inspiration-1-1440x1080.jpg","wide_image-width":1440,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Stained-Glass-Inspiration-1-e1600102934377.jpg"},{"acf_fc_layout":"content","content":" <\/p>\n Each 3D storm track is made up of three parts:<\/p>\n <\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1004782,"id":1004782,"title":"Hurricanes Irma and Maria Tracks","filename":"Irma-and-Maria-Tracks.jpg","filesize":91159,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Irma-and-Maria-Tracks.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/story-maps\/3d-gis\/using-3d-data-to-understand-hurricane-patterns\/irma-and-maria-tracks","alt":"The 3D storm symbology for hurricane Maria and Irma shows wind speed (track height) and category (color). The distance increases between daily progress labels as Maria picks up speed but loses intensity as it heads east across the Atlantic Ocean.","author":"53101","description":"","caption":"The 3D storm symbology for hurricane Maria and Irma shows wind speed (track height) and category (color). The distance increases between daily progress labels as Maria covers more ground but loses intensity as it heads east, back across the Atlantic Ocean.","name":"irma-and-maria-tracks","status":"inherit","uploaded_to":1003252,"date":"2020-09-11 20:26:12","modified":"2020-09-16 04:16:45","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1257,"height":695,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Irma-and-Maria-Tracks-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Irma-and-Maria-Tracks.jpg","medium-width":464,"medium-height":257,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Irma-and-Maria-Tracks.jpg","medium_large-width":768,"medium_large-height":425,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Irma-and-Maria-Tracks.jpg","large-width":1257,"large-height":695,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Irma-and-Maria-Tracks.jpg","1536x1536-width":1257,"1536x1536-height":695,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Irma-and-Maria-Tracks.jpg","2048x2048-width":1257,"2048x2048-height":695,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Irma-and-Maria-Tracks-826x457.jpg","card_image-width":826,"card_image-height":457,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Irma-and-Maria-Tracks.jpg","wide_image-width":1257,"wide_image-height":695}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Irma-and-Maria-Tracks.jpg"},{"acf_fc_layout":"content","content":" <\/p>\n Even without consulting a legend, understanding the lifecycle of each storm is intuitive with this 3D symbology. Incremental increases in wind speed as the storm builds are shown as noticeable vertical \u201csteps\u201d in the track panels. As the storm slows down, both the daily cyclone symbols and the panel borders contract and narrow. While it can be difficult to compare relative feature heights in any static 3D view because of the distance and inclination of the camera, the Saffir-Simpson category colors help reinforce the relative intensities for distant tracks. And like any web scene, the ability to explore and discover the dataset interactively in 3D is worth a thousand screenshots.<\/p>\n Note that to create and publish the 3D data you do need to use ArcGIS Pro, which can also perform other visualizations including 3D cross sections, fence diagrams, and 3D lines. It\u2019s also worth mentioning that we brought in outside software to add in some details to the map. We created the 3D symbols showing the daily cyclones using Sketchup. We added the annotations on layers using Camtasia, and shared the scene layers using ArcGIS Online web scene viewer.<\/p>\n Click on the image below to explore some of the 3D data we created for this story in a web scene!<\/p>\n <\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1009062,"id":1009062,"title":"Screen Shot 2020-09-16 at 12.18.23 AM","filename":"Screen-Shot-2020-09-16-at-12.18.23-AM-scaled.jpg","filesize":355657,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Screen-Shot-2020-09-16-at-12.18.23-AM-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/story-maps\/3d-gis\/using-3d-data-to-understand-hurricane-patterns\/screen-shot-2020-09-16-at-12-18-23-am","alt":"A screenshot of the web scene viewer for the cyclone 3D data set","author":"32401","description":"","caption":"A screenshot of the web scene viewer for the cyclone 3D data set.","name":"screen-shot-2020-09-16-at-12-18-23-am","status":"inherit","uploaded_to":1003252,"date":"2020-09-16 04:24:38","modified":"2020-09-16 11:42:50","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1623,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Screen-Shot-2020-09-16-at-12.18.23-AM-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Screen-Shot-2020-09-16-at-12.18.23-AM-scaled.jpg","medium-width":412,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Screen-Shot-2020-09-16-at-12.18.23-AM-scaled.jpg","medium_large-width":768,"medium_large-height":487,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Screen-Shot-2020-09-16-at-12.18.23-AM-scaled.jpg","large-width":1704,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Screen-Shot-2020-09-16-at-12.18.23-AM-1536x974.jpg","1536x1536-width":1536,"1536x1536-height":974,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Screen-Shot-2020-09-16-at-12.18.23-AM-2048x1298.jpg","2048x2048-width":2048,"2048x2048-height":1298,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Screen-Shot-2020-09-16-at-12.18.23-AM-734x465.jpg","card_image-width":734,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/09\/Screen-Shot-2020-09-16-at-12.18.23-AM-1704x1080.jpg","wide_image-width":1704,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/arcgis-content.maps.arcgis.com\/home\/webscene\/viewer.html?webscene=c5368d1fb2ca4b6b8c48040b6ad5ef1b"},{"acf_fc_layout":"content","content":" <\/p>\n Deploying 3D data is challenging as a standalone product. It\u2019s immersive and visually appealing, but it sometimes needs more context in order to be understood by readers. One of the easiest ways to ensure your 3D data is properly deployed is to use ArcGIS StoryMaps<\/a>. When you wrap 3D data in a story, you can give proper context to your data, include any additional information needed to understand it, and provide detailed descriptions of what it depicts. ArcGIS StoryMaps allows you to tell the story of your data, instead of just putting it out into the world in as a standalone web scene with slides or a video.<\/p>\n Three different ways to incorporate 3D data into a story\u00a0include:<\/p>\n We hope this blog has been illustrative regarding the use of 3D visualizations to tell a story through data and when such a strategy might be more (or less) effective than two-dimensional renderings. The cyclone story is, we feel, a great example of a use case for 3D visuals.<\/p>\n We also hope this blog will inspire you to explore the ArcGIS Living Atlas and take advantage of\u00a0the possibilities for creating your\u00a0own\u00a03D\u00a0project<\/a> using its datasets.<\/p>\n Earth’s Biggest Storms: Tropical Cyclones (Story)<\/a><\/p>\n Earth’s Biggest Storms: Tropical Cyclones Web Scene<\/a><\/p>\n Historical Hurricane Tracks ArcGIS Living Atlas Data<\/a><\/p>\n<\/h2>\n
Choosing 3D visualization<\/h2>\n
\n
Ways to package 3D data<\/h2>\n
\n
\n<\/h2>\n
Resources Collection<\/h2>\n
"},{"ID":8492,"user_firstname":"Emily","user_lastname":"Meriam","nickname":"Emily Meriam","user_nicename":"emeriam","display_name":"Emily Meriam","user_email":"EMeriam@esri.com","user_url":"https:\/\/www.instagram.com\/emilymeriam\/","user_registered":"2018-10-26 16:33:49","user_description":"Emily Meriam has a diverse GIS background that spans more than two decades. Her portfolio includes mapping elephants in Thailand, wildlife poachers in the Republic of Palau, land-use issues around Yosemite National Park, and active wildfire incidents for the State of California. Since 2018, Emily has been with Esri's ArcGIS Living Atlas of the World. In this role she serves as lead Cartographer and Senior GIS Engineer for the Environment Team where she styles and designs layers, maps, and applications for the global GIS community. Outside of her professional endeavors, Emily is a passionate geographer who enjoys exploring the world with her family.","user_avatar":"
"},{"ID":10472,"user_firstname":"Craig","user_lastname":"McCabe","nickname":"Craig McCabe","user_nicename":"cmccabe","display_name":"Craig McCabe","user_email":"CMcCabe@esri.com","user_url":"","user_registered":"2020-01-24 21:48:27","user_description":"Craig is a GIS Engineer, geologist, and geographer on the ArcGIS Living Atlas Environment team at Esri, with a passion for 3D visualization, analysis, and telling stories with data.","user_avatar":"
"},{"ID":8672,"user_firstname":"Ross","user_lastname":"Donihue","nickname":"Ross Donihue","user_nicename":"rdonihue","display_name":"Ross Donihue","user_email":"rdonihue@esri.com","user_url":"","user_registered":"2018-12-14 18:25:52","user_description":"Ross leads geospatial storytelling content development at Esri, helping users tell stories with maps from conception to publication. He spends his time developing technical workflows, directing projects, and improving geospatial storytelling technology. He\u2019s also a National Geographic Explorer with a background in Environmental Management. When he\u2019s not at his computer, he\u2019s usually in the garden, wandering through the woods, or making something by hand.","user_avatar":"
"},{"ID":94522,"user_firstname":"Lara","user_lastname":"Winegar","nickname":"Lara Winegar","user_nicename":"lwinegar","display_name":"Lara Winegar","user_email":"lwinegar@esri.com","user_url":"","user_registered":"2020-09-10 17:47:42","user_description":"Lara is a Sr. Content Specialist on Esri's StoryMaps editorial team, where she has been contributing since 2020. She enjoys crafting educational and accessible stories, as well as instructional content. Lara also creates how-to materials to support story authors in developing their own educational materials.","user_avatar":"
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