{"id":556392,"date":"2019-07-03T00:40:53","date_gmt":"2019-07-03T07:40:53","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=556392"},"modified":"2020-03-02T15:20:56","modified_gmt":"2020-03-02T23:20:56","slug":"transform-aggregated-time-series-results-into-polygons-in-arcgis","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/transform-aggregated-time-series-results-into-polygons-in-arcgis","title":{"rendered":"Transform Dynamically Aggregated Time Series Results into Polygons in ArcGIS"},"author":5971,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[22841,22941,23051],"tags":[30021,427142,30071,37781],"industry":[],"product":[36561],"class_list":["post-556392","blog","type-blog","status-publish","format-standard","hentry","category-local-government","category-mapping","category-water","tag-aggregation","tag-thiessen-polygon","tag-time-series","tag-watershed","product-arcgis-pro"],"acf":{"short_description":"Use Thiessen polygons to transform dynamically aggregated time series results from point features to any geographical or political boundaries.","flexible_content":[{"acf_fc_layout":"content","content":"<p>This is a continuation of <a href=\"https:\/\/bit.ly\/2Yv66LR\">another blog post<\/a> where I described how to compute aggregated results such as totals and averages from a time series table and show them at the point locations where those values were measured. These results are helpful in many analyses. But there are cases where it is required to visualize them using polygon features. For example, if you are an emergency management professional, you may want to know which counties have the most rainfall; whereas if you&#8217;re a scientist, you may want to see the same result but aggregated into watershed boundaries\/catchment areas instead.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":556582,"id":556582,"title":"PointToPolygon","filename":"PointToPolygon.png","filesize":318722,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/PointToPolygon.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/transform-aggregated-time-series-results-into-polygons-in-arcgis\/pointtopolygon","alt":"Weighted total rainfall computed for each county from rainfall stations","author":"5971","description":"","caption":"Weighted total rainfall computed for each county from rainfall stations","name":"pointtopolygon","status":"inherit","uploaded_to":556392,"date":"2019-07-03 06:24:37","modified":"2019-07-03 06:25:55","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":1086,"height":736,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/PointToPolygon-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/PointToPolygon.png","medium-width":385,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/PointToPolygon.png","medium_large-width":768,"medium_large-height":520,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/PointToPolygon.png","large-width":1086,"large-height":736,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/PointToPolygon.png","1536x1536-width":1086,"1536x1536-height":736,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/PointToPolygon.png","2048x2048-width":1086,"2048x2048-height":736,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/PointToPolygon-686x465.png","card_image-width":686,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/PointToPolygon.png","wide_image-width":1086,"wide_image-height":736}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>When it comes to transforming results from points to polygons, naturally we think of a simple spatial operation\u2014such as a Contains or a Within operation\u2014to (a) find all points that fall within a polygon feature and (b) use those features to compute the result. This simple approach works well with discrete data, such as computing total sales from all point locations at the state or county level. But this does not work for analyses with sampled data such as rainfall measurements. If you were to do that, you&#8217;d get a map, <em>like the one below<\/em>, where counties with no rainfall stations are not even drawn on the map \u2014 basically the map says there were no rain in those counties! That is not true, right?<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":556602,"id":556602,"title":"simple_discrete_spatial_aggregation","filename":"simple_discrete_spatial_aggregation.png","filesize":233976,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/simple_discrete_spatial_aggregation.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/transform-aggregated-time-series-results-into-polygons-in-arcgis\/simple_discrete_spatial_aggregation","alt":"Simple spatial operation produces incorrect map with missing counties","author":"5971","description":"","caption":"Simple spatial operation produces incorrect map with missing counties","name":"simple_discrete_spatial_aggregation","status":"inherit","uploaded_to":556392,"date":"2019-07-03 06:26:24","modified":"2019-07-03 06:27:26","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":487,"height":734,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/simple_discrete_spatial_aggregation-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/simple_discrete_spatial_aggregation.png","medium-width":173,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/simple_discrete_spatial_aggregation.png","medium_large-width":487,"medium_large-height":734,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/simple_discrete_spatial_aggregation.png","large-width":487,"large-height":734,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/simple_discrete_spatial_aggregation.png","1536x1536-width":487,"1536x1536-height":734,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/simple_discrete_spatial_aggregation.png","2048x2048-width":487,"2048x2048-height":734,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/simple_discrete_spatial_aggregation-309x465.png","card_image-width":309,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/simple_discrete_spatial_aggregation.png","wide_image-width":487,"wide_image-height":734}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>To avoid that problem and produce an accurate map, we will use Thiessen polygons to compute the rainfall distribution in our area of interest. Such result can be achievable by executing some geoprocessing tools, but that produces result only for one time slice. Every time you want to see result for a different time slice, you need to rerun those tool. This blog post provides step-by-step instructions that overcomes geoprocessing tools limitations &#8211; makes the result map reactive to time slider&#8217;s current time and still computes aggregated results, such as total rainfall dynamically from a time series table.<\/p>\n"},{"acf_fc_layout":"content","content":"<h1>Prepare the Data<\/h1>\n<p>Let&#8217;s get started:<\/p>\n<ul>\n<li>Download an <a href=\"https:\/\/arcg.is\/1Lvm9m0\">ArcGIS Pro package<\/a> to get started with sample data.<\/li>\n<li>Double-click on the package file you downloaded to open in ArcGIS Pro.<br \/>\nThe Rainfall Data map contains a table and a couple of layers:<\/p>\n<ul>\n<li>The two intermediate layers, found in a group layer, are the results of <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/tool-reference\/analysis\/intersect.htm\">overlay operation<\/a> between (a) <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/tool-reference\/analysis\/create-thiessen-polygons.htm\">Thiessen polygons<\/a> (from point features representing rainfall stations) and county boundaries, and (b) Thiessen polygons and watershed boundaries.<\/li>\n<\/ul>\n<\/li>\n<li>Create <a href=\"https:\/\/bit.ly\/2Nvztg9\">a new database connection<\/a> to your enterprise database.<\/li>\n<li>Go to the Catalog pane, then navigate to Databases\\Rainfall_IL.gdb.<\/li>\n<li>Copy all feature class and tables from the file geodatabase to your enterprise database.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"content","content":"<h1>Visualize Weighted Total Rainfall at the County Level<\/h1>\n<p>Next, we&#8217;ll add a query layer:<\/p>\n<ul>\n<li>Click the<strong> Query Layer<\/strong> option from the <strong>Add Data<\/strong> command on the <strong>Map<\/strong> tab.<\/li>\n<li>Select your database connection.<\/li>\n<li>Give it a name such as Weighted Total Rainfall by County.<\/li>\n<li>Copy the following query and paste it in the <strong>Query<\/strong> text box:<br \/>\n<code>SELECT c.objectid, c.Name, c.shape, c.POP2010, fo.Rainfall AS Weighted_Total_Rainfall<br \/>\nFROM COUNTIES_IL c<br \/>\nINNER JOIN<br \/>\n(<br \/>\nSELECT t.fips, (sum(r.rainfall_inch * t.area) \/ sum(t.area)) AS rainfall<br \/>\nFROM COUNTIES_THSN_INTSCT_IL t<br \/>\nINNER JOIN<br \/>\n(<br \/>\nSELECT site_no, Sum(rainfall_inch) AS rainfall_inch<br \/>\nFROM USGS_RAINFALL_TIMESERIES_IL<br \/>\nWHERE ::r:dateRange<br \/>\nGROUP BY site_no<br \/>\n) r<br \/>\nON r.site_no = t.site_no<br \/>\nGROUP BY t.FIPS<br \/>\n) fo<br \/>\nON c.fips = fo.fips<\/code><\/li>\n<li>Click the blue pencil icon next to the ::r:dateRange <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/help\/data\/query-layers\/define-parameters-in-a-query-layer.htm#GUID-CDEF0CD3-6B41-4F8E-B053-E6045D153EDC\">parameter<\/a> to bring up an inline editor to define the parameter.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":556622,"id":556622,"title":"QueryEditor","filename":"QueryEditor.png","filesize":8568,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/QueryEditor.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/transform-aggregated-time-series-results-into-polygons-in-arcgis\/queryeditor","alt":"Edit Query Layer dialog with a range parameter","author":"5971","description":"","caption":"Edit Query Layer dialog with a range parameter","name":"queryeditor","status":"inherit","uploaded_to":556392,"date":"2019-07-03 06:32:08","modified":"2019-07-03 06:32:58","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":437,"height":211,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/QueryEditor-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/QueryEditor.png","medium-width":437,"medium-height":211,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/QueryEditor.png","medium_large-width":437,"medium_large-height":211,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/QueryEditor.png","large-width":437,"large-height":211,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/QueryEditor.png","1536x1536-width":437,"1536x1536-height":211,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/QueryEditor.png","2048x2048-width":437,"2048x2048-height":211,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/QueryEditor.png","card_image-width":437,"card_image-height":211,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/QueryEditor.png","wide_image-width":437,"wide_image-height":211}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<ul>\n<li>Fill in all necessary information as seen in the following screenshot.\n<ol>\n<li>Field or Expression\u2014Type &#8220;date_time&#8221;.<\/li>\n<li>Data Type \u2014Choose Date.<\/li>\n<li>Default value\u2014Uncheck the check box.<\/li>\n<li>Name of the table the field belongs to\u2014Type &#8220;USGS_RAINFALL_TIMESERIES_IL&#8221;.<\/li>\n<\/ol>\n<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":556632,"id":556632,"title":"rangeParameterEditor","filename":"rangeParameterEditor.png","filesize":16327,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/rangeParameterEditor.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/transform-aggregated-time-series-results-into-polygons-in-arcgis\/rangeparametereditor","alt":"Definition a range parameter","author":"5971","description":"","caption":"Defining a range parameter","name":"rangeparametereditor","status":"inherit","uploaded_to":556392,"date":"2019-07-03 06:33:22","modified":"2019-07-03 06:33:54","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":675,"height":306,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/rangeParameterEditor-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/rangeParameterEditor.png","medium-width":464,"medium-height":210,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/rangeParameterEditor.png","medium_large-width":675,"medium_large-height":306,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/rangeParameterEditor.png","large-width":675,"large-height":306,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/rangeParameterEditor.png","1536x1536-width":675,"1536x1536-height":306,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/rangeParameterEditor.png","2048x2048-width":675,"2048x2048-height":306,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/rangeParameterEditor.png","card_image-width":675,"card_image-height":306,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/rangeParameterEditor.png","wide_image-width":675,"wide_image-height":306}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<ul>\n<li>Click <strong>Done<\/strong>.<\/li>\n<li>Click the <strong>Validate<\/strong> button.<\/li>\n<li>Click the <strong>Next<\/strong> button if there is no error.<br \/>\nOn the next page, Unique Identifier Field(s), Geometry Type, and Spatial Reference should get determined automatically.<\/li>\n<li>Click <strong>Finish<\/strong>.<br \/>\nA query layer gets added to the map.<\/li>\n<li>Symbolize the layer with <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/help\/mapping\/layer-properties\/unclassed-colors.htm\">unclassed symbology<\/a> using the Weighted_Total_Rainfall attribute.<br \/>\nSince a <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/help\/data\/query-layers\/define-parameters-in-a-query-layer.htm#GUID-CDEF0CD3-6B41-4F8E-B053-E6045D153EDC\">range parameter<\/a> is used in the query layer\u2019s source SQL, the layer is automatically made time aware.<br \/>\nThe Time Slider appears on the map.<\/li>\n<li>Enable the time slider from the <strong>Time<\/strong> tab.<\/li>\n<li>Set the time span to 1 month.<br \/>\nCounties with computed rainfall for that month will appear.<\/li>\n<li>Use the time slider to go to a different month, or change the time settings to view the aggregated result by week or for any other time duration.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":556652,"id":556652,"title":"MonthlyWeightedRainfallCounties_pointAndPoly_Animation","filename":"MonthlyWeightedRainfallCounties_pointAndPoly_Animation.gif","filesize":539570,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/MonthlyWeightedRainfallCounties_pointAndPoly_Animation.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/transform-aggregated-time-series-results-into-polygons-in-arcgis\/monthlyweightedrainfallcounties_pointandpoly_animation","alt":"Map on the left showing total rainfall at point locations. Map on the right shows same result transformed to county boundaries","author":"5971","description":"","caption":"Map on the left showing total rainfall at point locations. Map on the right shows same result transformed to county boundaries","name":"monthlyweightedrainfallcounties_pointandpoly_animation","status":"inherit","uploaded_to":556392,"date":"2019-07-03 06:41:48","modified":"2019-07-03 06:44:42","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":898,"height":735,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/MonthlyWeightedRainfallCounties_pointAndPoly_Animation-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/MonthlyWeightedRainfallCounties_pointAndPoly_Animation.gif","medium-width":319,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/MonthlyWeightedRainfallCounties_pointAndPoly_Animation.gif","medium_large-width":768,"medium_large-height":629,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/MonthlyWeightedRainfallCounties_pointAndPoly_Animation.gif","large-width":898,"large-height":735,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/MonthlyWeightedRainfallCounties_pointAndPoly_Animation.gif","1536x1536-width":898,"1536x1536-height":735,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/MonthlyWeightedRainfallCounties_pointAndPoly_Animation.gif","2048x2048-width":898,"2048x2048-height":735,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/MonthlyWeightedRainfallCounties_pointAndPoly_Animation-568x465.gif","card_image-width":568,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/MonthlyWeightedRainfallCounties_pointAndPoly_Animation.gif","wide_image-width":898,"wide_image-height":735}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h1>Visualize Weighted Total Rainfall for Watersheds<\/h1>\n<p>If you want to visualize the weighted total rainfall for watersheds instead of county boundaries, all you need to do is to repeat steps from the previous section but with a watershed layer. Let\u2019s create another query layer with the following SQL query:<\/p>\n<p><code>SELECT w.objectid, w.huc8, w.Shape, rh.rainfall_w AS Weighted_Total_Rainfall<br \/>\nFROM USGS_HUC8_WATERSHEDS_IL w<br \/>\nINNER JOIN<br \/>\n(<br \/>\nSELECT huc8, (sum(r.rainfall_inch * c.areasqkm) \/ sum(c.areasqkm)) as rainfall_w<br \/>\nFROM USGS_HUC8_thsn_intsct_il c<br \/>\nINNER JOIN<br \/>\n(<br \/>\nSELECT site_no, Sum(rainfall_inch) AS rainfall_inch<br \/>\nFROM USGS_RAINFALL_TIMESERIES_IL<br \/>\nWHERE ::r:dateRange<br \/>\nGROUP BY site_no<br \/>\n) AS r<br \/>\nON r.site_no = c.site_no<br \/>\nGROUP BY c.huc8<br \/>\n) AS rh<br \/>\nON w.huc8 = rh.huc8<\/code><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":556672,"id":556672,"title":"MonthlyWeightedRainfallWatershed_pointAndPoly_Animation","filename":"MonthlyWeightedRainfallWatershed_pointAndPoly_Animation.gif","filesize":619271,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/MonthlyWeightedRainfallWatershed_pointAndPoly_Animation.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/transform-aggregated-time-series-results-into-polygons-in-arcgis\/monthlyweightedrainfallwatershed_pointandpoly_animation","alt":"Map on the left showing total rainfall at point locations. Map on the right shows same result transformed to watershed boundaries","author":"5971","description":"","caption":"Map on the left showing total rainfall at point locations. Map on the right shows same result transformed to watershed boundaries","name":"monthlyweightedrainfallwatershed_pointandpoly_animation","status":"inherit","uploaded_to":556392,"date":"2019-07-03 06:48:50","modified":"2019-07-03 06:49:22","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":898,"height":735,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/MonthlyWeightedRainfallWatershed_pointAndPoly_Animation-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/MonthlyWeightedRainfallWatershed_pointAndPoly_Animation.gif","medium-width":319,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/MonthlyWeightedRainfallWatershed_pointAndPoly_Animation.gif","medium_large-width":768,"medium_large-height":629,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/MonthlyWeightedRainfallWatershed_pointAndPoly_Animation.gif","large-width":898,"large-height":735,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/MonthlyWeightedRainfallWatershed_pointAndPoly_Animation.gif","1536x1536-width":898,"1536x1536-height":735,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/MonthlyWeightedRainfallWatershed_pointAndPoly_Animation.gif","2048x2048-width":898,"2048x2048-height":735,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/MonthlyWeightedRainfallWatershed_pointAndPoly_Animation-568x465.gif","card_image-width":568,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/07\/MonthlyWeightedRainfallWatershed_pointAndPoly_Animation.gif","wide_image-width":898,"wide_image-height":735}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h1>Share and Consume Data in Web Maps<\/h1>\n<p>You can <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/help\/sharing\/overview\/map-image-layer.htm\">share<\/a> the map as a map image layer (or <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/help\/sharing\/overview\/publish-a-map-service.htm\">map service<\/a>).<\/p>\n<ul>\n<li>Consume the service on a web application such as ArcGIS Online or a portal map viewer or a Web AppBuilder for ArcGIS application.<\/li>\n<li>Use the time slider to see the same results.<\/li>\n<\/ul>\n"}],"authors":[{"ID":5971,"user_firstname":"Tanu","user_lastname":"Hoque","nickname":"Tanu Hoque","user_nicename":"mahoque","display_name":"Tanu Hoque","user_email":"ahoque@esri.com","user_url":"","user_registered":"2018-03-02 00:17:50","user_description":"Tanu is a product engineer on Esri Mapping Team focusing on map service, print service, and ArcGIS Pro. He also works on spatio-temporal analysis, spatial aggregation and real-time data. Tanu\u2019s background includes a masters in Urban Planning from University of Akron, Ohio, USA and a bachelor degree from Khulna University, Bangladesh, and worked as GIS Coordinator in City of West Springfield, and GIS Specialist in a hydrology modeling center in Bangladesh before joining Esri.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/12\/tanu-hoque2-e1609364913822-213x200.jpeg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"related_articles":[{"ID":554902,"post_author":"5971","post_date":"2019-07-02 00:40:03","post_date_gmt":"2019-07-02 07:40:03","post_content":"","post_title":"Dynamic Spatiotemporal Exploratory Analysis with Aggregated Results Using Time Series Data in 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