{"id":1499022,"date":"2022-03-10T09:00:10","date_gmt":"2022-03-10T17:00:10","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1499022"},"modified":"2022-03-15T12:22:48","modified_gmt":"2022-03-15T19:22:48","slug":"dev-summit-2022-analyze-hurricane-incidents-to-determine-at-risk-populations","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/dev-summit-2022-analyze-hurricane-incidents-to-determine-at-risk-populations","title":{"rendered":"Dev Summit 2022: Analyze hurricane incidents to determine at-risk populations"},"author":6181,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23341,37141,24371],"tags":[555752,27481,30101,33021,25631],"industry":[],"product":[421922,36841,36571,36551],"class_list":["post-1499022","blog","type-blog","status-publish","format-standard","hentry","category-analytics","category-decision-support","category-public-safety","tag-arcgis-notebooks","tag-automation","tag-geoenrichment","tag-infographics","tag-spatial-analysis","product-arcgis","product-api-python","product-arcgis-enterprise","product-arcgis-online"],"acf":{"short_description":"In this demonstration, Nanae shows how to conduct incident analysis using hurricane data.","flexible_content":[{"acf_fc_layout":"content","content":"

In this demonstration, Nanae shows how to conduct incident analysis using hurricane data.<\/p>\n

She describes how to determine and prepare for a hurricane\u2019s impact using an anticipated flood zone and cone of uncertainty<\/a>, to forecast the storm\u2019s\u202fprobable route.<\/p>\n

Within her area of interest, she considers factors such as population density and existing infrastructure to identify vulnerable or at-risk individuals and structures within the community.<\/p>\n

Once her analysis is complete, she generates an informative report to share with key stakeholders and decision makers to alert them of a focused area of interest to anticipate impact in the community and respond accordingly.<\/p>\n

The report includes a map of the impacted vicinity along with quantitative results to describe pertinent demographic details.<\/p>\n

Finally, she uses a task to automate the analysis to repeat the workflow using the latest incident data available.<\/p>\n"},{"acf_fc_layout":"kaltura","video_id":"1_v1j8enpm","time":true,"start":"48","stop":""},{"acf_fc_layout":"content","content":"

Workflow and analysis<\/h2>\n

In this demo, Nanae performs the following steps:<\/p>\n

1. First, she extracts the geometry<\/a> for the latest cone of uncertainty<\/a> and anticipated flood zone. By intersecting the geometries, she can create an area of interest to be applied to a layer of grids that act as bounding polygons.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1499522,"id":1499522,"title":"hurricane-incidents-geometry","filename":"geometry.png","filesize":18295,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/geometry.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/dev-summit-2022-analyze-hurricane-incidents-to-determine-at-risk-populations\/geometry","alt":"","author":"6181","description":"","caption":"","name":"geometry","status":"inherit","uploaded_to":1499022,"date":"2022-03-05 00:05:17","modified":"2022-03-05 00:05:30","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1817,"height":667,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/geometry-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/geometry.png","medium-width":464,"medium-height":170,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/geometry.png","medium_large-width":768,"medium_large-height":282,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/geometry.png","large-width":1817,"large-height":667,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/geometry-1536x564.png","1536x1536-width":1536,"1536x1536-height":564,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/geometry.png","2048x2048-width":1817,"2048x2048-height":667,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/geometry-826x303.png","card_image-width":826,"card_image-height":303,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/geometry.png","wide_image-width":1817,"wide_image-height":667}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

2. She performs a merge<\/a>\u202fusing GeoEnrichment<\/a> and infrastructure data layers to output a spatially enabled DataFrame<\/a> to track critical infrastructure and population counts.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1499502,"id":1499502,"title":"Grids_of_interest","filename":"Grids_of_interest.png","filesize":517979,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/Grids_of_interest.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/dev-summit-2022-analyze-hurricane-incidents-to-determine-at-risk-populations\/grids_of_interest","alt":"","author":"6181","description":"","caption":"","name":"grids_of_interest","status":"inherit","uploaded_to":1499022,"date":"2022-03-05 00:04:17","modified":"2022-03-05 00:04:17","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1611,"height":756,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/Grids_of_interest-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/Grids_of_interest.png","medium-width":464,"medium-height":218,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/Grids_of_interest.png","medium_large-width":768,"medium_large-height":360,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/Grids_of_interest.png","large-width":1611,"large-height":756,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/Grids_of_interest-1536x721.png","1536x1536-width":1536,"1536x1536-height":721,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/Grids_of_interest.png","2048x2048-width":1611,"2048x2048-height":756,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/Grids_of_interest-826x388.png","card_image-width":826,"card_image-height":388,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/Grids_of_interest.png","wide_image-width":1611,"wide_image-height":756}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

3. Next, she generates PDF reports using an infographics template<\/a> and links each report to its respective grid. Each report is added as an item to the organization so that it can be shared publicly or privately as needed.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1499482,"id":1499482,"title":"hurricane-incidents-report","filename":"hurricane-incidents-report.png","filesize":1279896,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/hurricane-incidents-report.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/dev-summit-2022-analyze-hurricane-incidents-to-determine-at-risk-populations\/hurricane-incidents-report","alt":"","author":"6181","description":"","caption":"","name":"hurricane-incidents-report","status":"inherit","uploaded_to":1499022,"date":"2022-03-05 00:03:16","modified":"2022-03-05 00:03:16","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":9417,"height":4709,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/hurricane-incidents-report-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/hurricane-incidents-report.png","medium-width":464,"medium-height":232,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/hurricane-incidents-report.png","medium_large-width":768,"medium_large-height":384,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/hurricane-incidents-report.png","large-width":1920,"large-height":960,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/hurricane-incidents-report-1536x768.png","1536x1536-width":1536,"1536x1536-height":768,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/hurricane-incidents-report-2048x1024.png","2048x2048-width":2048,"2048x2048-height":1024,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/hurricane-incidents-report-826x413.png","card_image-width":826,"card_image-height":413,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/03\/hurricane-incidents-report-1920x960.png","wide_image-width":1920,"wide_image-height":960}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

4. Finally, Nanae has scheduled a task to run every 6 hours, which is the time it takes for the incident layers to update with new geometries. This ArcGIS Notebook<\/a> can\u202fnow be used for any incident in the future just by updating the layers to find new areas of interest.<\/p>\n

Learn more<\/h2>\n