{"id":42652,"date":"2018-07-11T10:33:13","date_gmt":"2018-07-11T17:33:13","guid":{"rendered":"https:\/\/www.esri.com\/about\/newsroom\/?post_type=arcwatch&#038;p=42652"},"modified":"2018-11-07T13:36:50","modified_gmt":"2018-11-07T21:36:50","slug":"visualize-malaria-rates-in-africa","status":"publish","type":"arcwatch","link":"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/visualize-malaria-rates-in-africa","title":{"rendered":"Visualize Malaria Rates in Africa"},"content":{"rendered":"","protected":false},"author":651,"featured_media":0,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false,"sync_status":"","episode_type":"","audio_file":"","castos_file_data":"","podmotor_file_id":"","cover_image":"","cover_image_id":"","duration":"","filesize":"","filesize_raw":"","date_recorded":"","explicit":"","block":"","itunes_episode_number":"","itunes_title":"","itunes_season_number":"","itunes_episode_type":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[91],"tags":[204902,20422,173962],"arcwatch_issues":[23352],"class_list":["post-42652","arcwatch","type-arcwatch","status-publish","format-standard","hentry","category-mapping","tag-arcgis-image-analyst","tag-arcgis-pro","tag-arcgis-spatial-analyst","arcwatch_issues-july-2018","arcwatch_sections-the-tip"],"acf":{"short_description":"Malaria rates in Africa have been shrinking. Esri product engineer Kathy Cappelli walks you through how to use ArcGIS Pro...","pdf":{"host_remotely":false,"file":null,"file_url":""},"flexible_content":[{"acf_fc_layout":"content","content":"Malaria is a life-threatening disease that is both preventable and treatable. Transmitted by mosquitoes, it affects millions of people worldwide, especially young children in sub-Saharan Africa. But there's good news. Due to treatment and prevention efforts, such as insecticide-treated mosquito nets and rapid diagnostic tests, incidence rates have been shrinking.\r\n\r\nThis tip walks you through how to use an adaptable workflow to quickly analyze and visualize raster data so you can find out how much malaria rates have decreased. Using data from the nonprofit\u00a0<a href=\"https:\/\/map.ox.ac.uk\/\">Malaria Atlas Project<\/a>, you will analyze how malaria rates for children aged 2 to 10 in sub-Saharan Africa have changed since 2000. After downloading the data, you'll use the Raster Functions analysis tool in\u00a0<a href=\"https:\/\/www.esri.com\/en-us\/arcgis\/products\/arcgis-pro\/overview\">ArcGIS Pro<\/a>\u00a0to calculate the change in malaria prevalence from 2000 to 2015. Then, you will visualize malaria rates over time in sub-Saharan Africa. (You also will need the\u00a0<a href=\"https:\/\/www.esri.com\/en-us\/arcgis\/products\/arcgis-image-analyst\/overview\">ArcGIS Image Analyst<\/a>\u00a0extension or the\u00a0<a href=\"http:\/\/www.esri.com\/software\/arcgis\/extensions\/spatialanalyst\">ArcGIS Spatial Analyst<\/a>\u00a0extension to complete this tip.)\r\n\r\nJennifer Bell from Esri\u2019s Living Atlas team, created a\u00a0<a class=\"colorbox-evlarge fancybox.iframe\" href=\"https:\/\/urbanobservatory.maps.arcgis.com\/apps\/MapSeries\/index.html?appid=a5d4be0a508b4e6d8fc75cae07dd9e49&amp;embed\">web app<\/a>\u00a0that shows the malaria rates for children ages 2 to 10 in sub-Saharan Africa."},{"acf_fc_layout":"content","content":"<iframe src=\"https:\/\/urbanobservatory.maps.arcgis.com\/apps\/MapSeries\/index.html?appid=a5d4be0a508b4e6d8fc75cae07dd9e49&amp;embed\" width=\"700px\" height=\"480px\"><\/iframe>"},{"acf_fc_layout":"content","content":"<h2>Step 1: Download data from the Malaria Atlas Project<\/h2>\r\n<ul>\r\n \t<li>Go to the\u00a0<a href=\"https:\/\/map.ox.ac.uk\/explorer\/#\/explorer\">Malaria Atlas Project website<\/a>.<\/li>\r\n \t<li>Under\u00a0<strong>Toggle and Download Layers<\/strong>\u00a0on the left side of the screen, click the download button.<\/li>\r\n<\/ul>"},{"acf_fc_layout":"image","image":42702,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"The download may take a few minutes.\r\n\r\n3. Extract and unzip the files.\r\n\r\n4. Start ArcGIS Pro, and under\u00a0<strong>Create a new project<\/strong>, click\u00a0<strong>Blank<\/strong>.\r\n\r\nAfter you name your project, the Catalog window will open.\r\n\r\n<strong>Note:<\/strong>\u00a0If you don't have ArcGIS Pro or an ArcGIS account, you can sign up for an\u00a0<a href=\"https:\/\/www.esri.com\/en-us\/arcgis\/trial\">ArcGIS free trial<\/a>.\r\n\r\n5. In the\u00a0<strong>Catalog window<\/strong>, navigate to the folder in which you saved the unzipped malaria data. Right-click 2015_Nature_Africa_PR.2000.tif and 2015_Nature_Africa_PR.2015.tif and click\u00a0<strong>Add To New Map.<\/strong>"},{"acf_fc_layout":"image","image":42712,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"A map will open that displays the data with a black\u2013white ramp. These two layers show malaria rates among children aged 2 to 10 in sub-Saharan Africa in 2000 and 2015. White pixels represent higher malaria rates, while darker pixels represent lower rates."},{"acf_fc_layout":"image","image":42722,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h2>Step 2: Calculate change.<\/h2>\r\nNext, you'll analyze the change in malaria rates from 2000 to 2015. Because the data is in raster format, it is represented as pixels, or cells. Each cell shows the average value of the area it covers. To calculate the change in malaria rates, you'll subtract the value of overlapping cells using\u00a0<a href=\"http:\/\/pro.arcgis.com\/en\/pro-app\/help\/data\/imagery\/raster-functions.htm\">Raster Functions.\u00a0<\/a>The resultant layer will be calculated on the fly as a temporary layer rather than be saved to your computer, taking up space.\r\n\r\n1. On the ribbon, click the<strong>\u00a0Analysis<\/strong>\u00a0tab. In the<strong>\u00a0Raster\u00a0<\/strong>group, click\u00a0<strong>Raster Functions.<\/strong>"},{"acf_fc_layout":"image","image":42732,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"2. In the Raster Functions pane, type\u00a0<strong><u>Minus<\/u><\/strong>\u00a0in the\u00a0<strong>Find Raster Functions<\/strong>\u00a0Search box and click the\u00a0<strong>Minus<\/strong>\u00a0tool.\r\n\r\nThe Minus tool subtracts the value of the second input from the value of the first input on a cell-by-cell basis.\r\n\r\n3. In the\u00a0<strong>Minus Properties<\/strong>\u00a0pane, click the menu for Raster and select the 2015_Nature_Africa_PR.2015.tif layer. For Raster2, select the 2015_Nature_Africa_PR.2000.tif layer. Accept the defaults for Cellsize Type and Extent of Type. Click\u00a0<strong>Create new layer<\/strong>. Save project."},{"acf_fc_layout":"image","image":42742,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"The result is added to the\u00a0<strong>Contents\u00a0<\/strong>pane. White areas represent positive values, or an increase in malaria rates, while darker areas represent negative values, or a decrease in malaria rates. It is clear from this map that there were significant decreases in malaria rates in the Congo, Burundi, Uganda, and Tanzania. Increases occurred in Mali and Guinea, but most of the other shades of gray do not show a clear visual pattern."},{"acf_fc_layout":"image","image":42752,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h2>Step 3: Visualize Your Results.<\/h2>\r\n<ul>\r\n \t<li>Change the colors of your layers to better visualize where malaria rates increased or decreased.<\/li>\r\n \t<li>1. On the ribbon, click the\u00a0<strong>Map\u00a0<\/strong>tab. In the\u00a0<strong>Layer\u00a0<\/strong>group, click<strong>\u00a0Basemap<\/strong>\u00a0and choose\u00a0<strong>Dark Gray Canvas<\/strong>. Changing the basemap to a simple one like Dark Gray Canvas helps your data stand out because it removes distracting details, like topography and river features. Now, you'll symbolize the 2015 data for malaria.<\/li>\r\n \t<li>2. In the\u00a0<strong>Contents<\/strong>\u00a0pane, turn off the new Minus layer and click the color ramp for 2015_Nature_Africa_PR.2015.tif layer.<\/li>\r\n \t<li>The Symbology pane opens for the 2015 data layer.<\/li>\r\n \t<li>3. In the\u00a0<strong>Symbology<\/strong>\u00a0pane, under Color scheme, click the black\u2013white color ramp. A drop-down opens and shows a color scheme choices menu. On the\u00a0<strong>Color scheme<\/strong>\u00a0menu, click\u00a0<strong>Format color scheme<\/strong>.<\/li>\r\n<\/ul>"},{"acf_fc_layout":"image","image":42762,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"The Color Scheme Editor opens. This window allows you to create custom color schemes by specifying color values for each stop, or relative percentage of the data.\r\n\r\n4. On the top right of the\u00a0<strong>Color Scheme Editor<\/strong>, click the plus sign to add a color stop."},{"acf_fc_layout":"image","image":42772,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"There are now three stops, at 0 percent, 50 percent, and 100 percent.\r\n\r\n5. Click the 0 percent stop (black, on left). Under<strong>\u00a0Settings<\/strong>, click\u00a0<strong>Color<\/strong>, then click\u00a0<strong>Color Properties<\/strong>.\r\n\r\n6. In the\u00a0<strong>Color Editor<\/strong>, make sure the Color Model is set to HSV. Look for the text box next to HEX # and change the HEX value to\u00a0<strong>#7AB6F5\u00a0<\/strong>and click\u00a0<strong>OK<\/strong>."},{"acf_fc_layout":"image","image":42782,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"7. Repeat the same process to change the middle value to\u00a0<strong>#805499<\/strong>, and to change the right-most value to\u00a0<strong>#F5CA7A<\/strong>.\r\n\r\n8. Click OK to return to the map and view your symbology changes. Save project."},{"acf_fc_layout":"image","image":42792,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"9. Repeat steps 4 through 8 to apply the same symbology to the 2000 imagery."},{"acf_fc_layout":"image","image":42802,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"10. In the\u00a0<strong>Contents\u00a0<\/strong>pane, turn off the 2015 and 2000 imagery layers, and turn on the Minus layer. Save project.\r\n\r\nThe Minus layer opens in the Symbology pane.\r\n\r\n11. Immediately under\u00a0<strong>Symbology\u00a0<\/strong>in theSymbology pane, click the\u00a0<strong>Stretch type drop-down and\u00a0<\/strong>choose\u00a0<strong>Classify<\/strong>. Choosing Classify breaks the data into defined categories instead of being symbolized along a single ramp, as the 2000 and 2015 layers are. The color scheme also changes to a default color ramp, such as red to yellow.\r\n\r\n12. In the\u00a0<strong>Class breaks<\/strong>\u00a0section, change the numbers in the\u00a0<strong>Upper value<\/strong>\u00a0column to -0.3, -0.1, 01, 0.3, and 0.4. Save project."},{"acf_fc_layout":"image","image":42812,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Negative values represent areas that had a decrease in malaria rates, while positive values indicate an increase in malaria rates. For example, 0.1 indicates that there was a 10 percent increase in malaria among children from 2000 to 2015. These values were chosen to mirror Bell's malaria change app, shown above.\r\n\r\nBecause this data has a clear and important midpoint (0), it calls for a diverging color scheme. By showing positive change in one color and negative change in another color with a neutral middle color, the change is clear.\r\n\r\n13. Click the symbol box next to\u00a0<strong>\u2264 -0.29<\/strong>, and in the\u00a0<strong>Color\u00a0<\/strong>window, click\u00a0<strong>Color Properties<\/strong>. Make sure the Color Model is set to HSV. Change the HEX value to\u00a0<strong>#AACC68<\/strong>.\r\n\r\n14. Change the color symbols as follows:"},{"acf_fc_layout":"sidebar","layout":"code_snippet","image_reference":null,"image_reference_figure":"","spotlight_image":null,"section_title":"","spotlight_name":"","position":"Center","content":"","snippet":"\u2264 -0.1 to HEX value #718845\r\n\u2264 0.1 to HEX value #686868\r\n\u2264 0.29 to HEX value #704488\r\n\u2264 0.4 to HEX value #CA7AF3"},{"acf_fc_layout":"content","content":"<h2>Step 4: Share your visualization.<\/h2>\r\nThere are many ways to share your results. You can pick the one that best fits your needs and your audience's preferences.\r\n\r\nIf you want to share your data as a static map, convert it to a layout. For some tips on creating a map layout, check out\u00a0<a href=\"http:\/\/learn.arcgis.com\/en\/projects\/cartographic-creations-in-arcgis-pro\/lessons\/arrange-map-items-for-print.htm\">Cartographic Creations in ArcGIS Pro<\/a>.\r\n\r\nTo share the maps online so that people can interact with them, share them to ArcGIS Online and create a web app. To learn more about web apps, see\u00a0<a href=\"http:\/\/learn.arcgis.com\/en\/projects\/get-started-with-arcgis-online\/\">Get Started with ArcGIS Online<\/a>.\r\n\r\nThis workflow for visualizing data can be applied to most raster datasets. Raster functions require little processing time, making them ideal for quick analysis and visualization. The most difficult part of the workflow is deciding which of the hundreds of visualization techniques you'll apply to your data.\r\n\r\nFor more ideas on raster data visualization, check out John Nelson's\u00a0<em>ArcGIS Blog\u00a0<\/em>post,\u00a0<a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/analytics\/lights-on-lights-out\/\">Lights On &amp; Lights Out<\/a>. Learn more about the ArcGIS Pro cartographic capabilities in\u00a0<a href=\"http:\/\/learn.arcgis.com\/en\/projects\/cartographic-creations-in-arcgis-pro\/\">Cartographic Creations in ArcGIS Pro<\/a>.\r\n\r\nFor more information about malaria, refer to the\u00a0<a href=\"http:\/\/www.who.int\/en\/news-room\/fact-sheets\/detail\/malaria\">World Health Organization<\/a>\u00a0fact sheet. Malaria data was downloaded from and belongs to the Malaria Atlas Project."}],"references":null},"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>Visualize Malaria Rates in Africa<\/title>\n<meta name=\"description\" content=\"Malaria rates in Africa have been shrinking. Esri product engineer Kathy Cappelli walks you through how to use ArcGIS Pro...\" \/>\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\/about\/newsroom\/arcwatch\/visualize-malaria-rates-in-africa\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Visualize Malaria Rates in Africa\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/visualize-malaria-rates-in-africa\" \/>\n<meta property=\"og:site_name\" content=\"Esri\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/esrigis\/\" \/>\n<meta property=\"article:modified_time\" content=\"2018-11-07T21:36:50+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.esri.com\/about\/newsroom\/app\/themes\/esri_newsroom\/placeholders\/arcwatch\/arcwatch-default-card-image.jpg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@Esri\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\n\t    \"@context\": \"https:\/\/schema.org\",\n\t    \"@graph\": [\n\t        {\n\t            \"@type\": \"WebPage\",\n\t            \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/visualize-malaria-rates-in-africa\",\n\t            \"url\": \"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/visualize-malaria-rates-in-africa\",\n\t            \"name\": \"Visualize Malaria Rates in Africa\",\n\t            \"isPartOf\": {\n\t                \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/#website\"\n\t            },\n\t            \"datePublished\": \"2018-07-11T17:33:13+00:00\",\n\t            \"dateModified\": \"2018-11-07T21:36:50+00:00\",\n\t            \"breadcrumb\": {\n\t                \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/visualize-malaria-rates-in-africa#breadcrumb\"\n\t            },\n\t            \"inLanguage\": \"en-US\",\n\t            \"potentialAction\": [\n\t                {\n\t                    \"@type\": \"ReadAction\",\n\t                    \"target\": [\n\t                        \"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/visualize-malaria-rates-in-africa\"\n\t                    ]\n\t                }\n\t            ]\n\t        },\n\t        {\n\t            \"@type\": \"BreadcrumbList\",\n\t            \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/visualize-malaria-rates-in-africa#breadcrumb\",\n\t            \"itemListElement\": [\n\t                {\n\t                    \"@type\": \"ListItem\",\n\t                    \"position\": 1,\n\t                    \"name\": \"Home\",\n\t                    \"item\": \"https:\/\/www.esri.com\/about\/newsroom\"\n\t                },\n\t                {\n\t                    \"@type\": \"ListItem\",\n\t                    \"position\": 2,\n\t                    \"name\": \"ArcWatch Articles\",\n\t                    \"item\": \"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\"\n\t                },\n\t                {\n\t                    \"@type\": \"ListItem\",\n\t                    \"position\": 3,\n\t                    \"name\": \"Visualize Malaria Rates in Africa\"\n\t                }\n\t            ]\n\t        },\n\t        {\n\t            \"@type\": \"WebSite\",\n\t            \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/#website\",\n\t            \"url\": \"https:\/\/www.esri.com\/about\/newsroom\/\",\n\t            \"name\": \"Esri\",\n\t            \"description\": \"Esri Newsroom\",\n\t            \"potentialAction\": [\n\t                {\n\t                    \"@type\": \"SearchAction\",\n\t                    \"target\": {\n\t                        \"@type\": \"EntryPoint\",\n\t                        \"urlTemplate\": \"https:\/\/www.esri.com\/about\/newsroom\/?s={search_term_string}\"\n\t                    },\n\t                    \"query-input\": {\n\t                        \"@type\": \"PropertyValueSpecification\",\n\t                        \"valueRequired\": true,\n\t                        \"valueName\": \"search_term_string\"\n\t                    }\n\t                }\n\t            ],\n\t            \"inLanguage\": \"en-US\"\n\t        },\n\t        {\n\t            \"@type\": \"Person\",\n\t            \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/#\/schema\/person\/2bb97f36f9a6288b8306552020a42541\",\n\t            \"name\": \"Rick Schneblin\",\n\t            \"image\": {\n\t                \"@type\": \"ImageObject\",\n\t                \"inLanguage\": \"en-US\",\n\t                \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/#\/schema\/person\/image\/\",\n\t                \"url\": \"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2017\/06\/RickS-150x150.jpg\",\n\t                \"contentUrl\": \"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2017\/06\/RickS-150x150.jpg\",\n\t                \"caption\": \"Rick Schneblin\"\n\t            },\n\t            \"url\": \"\"\n\t        }\n\t    ]\n\t}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Visualize Malaria Rates in Africa","description":"Malaria rates in Africa have been shrinking. Esri product engineer Kathy Cappelli walks you through how to use ArcGIS Pro...","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/visualize-malaria-rates-in-africa","og_locale":"en_US","og_type":"article","og_title":"Visualize Malaria Rates in Africa","og_url":"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/visualize-malaria-rates-in-africa","og_site_name":"Esri","article_publisher":"https:\/\/www.facebook.com\/esrigis\/","article_modified_time":"2018-11-07T21:36:50+00:00","og_image":[{"url":"https:\/\/www.esri.com\/about\/newsroom\/app\/themes\/esri_newsroom\/placeholders\/arcwatch\/arcwatch-default-card-image.jpg","type":"","width":"","height":""}],"twitter_card":"summary_large_image","twitter_site":"@Esri","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/visualize-malaria-rates-in-africa","url":"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/visualize-malaria-rates-in-africa","name":"Visualize Malaria Rates in Africa","isPartOf":{"@id":"https:\/\/www.esri.com\/about\/newsroom\/#website"},"datePublished":"2018-07-11T17:33:13+00:00","dateModified":"2018-11-07T21:36:50+00:00","breadcrumb":{"@id":"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/visualize-malaria-rates-in-africa#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/visualize-malaria-rates-in-africa"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.esri.com\/about\/newsroom\/arcwatch\/visualize-malaria-rates-in-africa#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.esri.com\/about\/newsroom"},{"@type":"ListItem","position":2,"name":"ArcWatch Articles","item":"https:\/\/www.esri.com\/about\/newsroom\/arcwatch"},{"@type":"ListItem","position":3,"name":"Visualize Malaria Rates in Africa"}]},{"@type":"WebSite","@id":"https:\/\/www.esri.com\/about\/newsroom\/#website","url":"https:\/\/www.esri.com\/about\/newsroom\/","name":"Esri","description":"Esri Newsroom","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.esri.com\/about\/newsroom\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/www.esri.com\/about\/newsroom\/#\/schema\/person\/2bb97f36f9a6288b8306552020a42541","name":"Rick Schneblin","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.esri.com\/about\/newsroom\/#\/schema\/person\/image\/","url":"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2017\/06\/RickS-150x150.jpg","contentUrl":"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2017\/06\/RickS-150x150.jpg","caption":"Rick Schneblin"},"url":""}]}},"sort_order":"2","_links":{"self":[{"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/arcwatch\/42652","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/arcwatch"}],"about":[{"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/types\/arcwatch"}],"author":[{"embeddable":true,"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/users\/651"}],"version-history":[{"count":0,"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/arcwatch\/42652\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/media?parent=42652"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/categories?post=42652"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/tags?post=42652"},{"taxonomy":"arcwatch_issues","embeddable":true,"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/arcwatch_issues?post=42652"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}