{"id":2607922,"date":"2024-12-03T08:02:59","date_gmt":"2024-12-03T16:02:59","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2607922"},"modified":"2024-12-04T08:09:34","modified_gmt":"2024-12-04T16:09:34","slug":"convert-your-metrics-to-arcgis-urbans-new-metrics","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/urban\/data-management\/convert-your-metrics-to-arcgis-urbans-new-metrics","title":{"rendered":"Convert your metrics to ArcGIS Urban’s new metrics"},"author":237172,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23851],"tags":[25781,406712,549072,26171],"industry":[],"product":[409602],"class_list":["post-2607922","blog","type-blog","status-publish","format-standard","hentry","category-data-management","tag-3d","tag-arcgis-urban","tag-esrirdzurich","tag-urban-planning","product-urban"],"acf":{"authors":[{"ID":237172,"user_firstname":"Till","user_lastname":"Schmid","nickname":"Till Schmid","user_nicename":"tschmid","display_name":"Till Schmid","user_email":"tschmid@esri.com","user_url":"","user_registered":"2021-06-04 17:35:33","user_description":"Till Schmid is a Product Engineer in the ArcGIS Urban team at the Esri R&D Center in Zurich. After studying urban planning at ETH Zurich, he worked as a transportation planner designing and optimizing multimodal transportation systems. At Esri, he applies his knowledge in the field of planning and simulation to further improve ArcGIS Urban and how the cities of the future are planned.","user_avatar":""},{"ID":8122,"user_firstname":"Katelyn","user_lastname":"Thompson","nickname":"Katelyn Thompson","user_nicename":"kthompson","display_name":"Katie Thompson","user_email":"KThompson@esri.com","user_url":"","user_registered":"2018-06-26 17:47:19","user_description":"Katie Thompson is a Product Marketing Manager at Esri who got her start with GIS during her undergraduate studies and holds a master's degree in urban and regional planning. Today, she focuses on creating content and messaging to help planners make the most of their GIS, especially through 3D tools like ArcGIS Urban and ArcGIS CityEngine.","user_avatar":""}],"short_description":"Learn how to convert your metrics to Urban's new metrics and understand the differences between the old and the new metrics graph.","flexible_content":[{"acf_fc_layout":"content","content":"

In the December 2024 release, ArcGIS Urban introduced new metrics that take the analysis of your plans to the next level. We know that you put a lot of effort into creating your metrics graphs. That\u2019s why ArcGIS Urban offers the ability to easily convert your previously configured metrics to the new metrics.<\/p>\n

In this article, you will learn:<\/p>\n

    \n
  1. How to convert your metrics.<\/li>\n
  2. What a converted metric graph looks like, using some examples from the USA default template.<\/li>\n<\/ol>\n

     <\/p>\n

    This article focuses on how to convert your metrics. To learn more about the capabilities of the new metrics, check out this blog post<\/a>.<\/p>\n

     <\/p>\n"},{"acf_fc_layout":"content","content":"

    Convert the metrics in your plans and urban models to new metrics<\/h2>\n

    Now that the new metrics are out, you probably want to use them in your existing plans and urban models. But you also want to keep your current metrics and don\u2019t want to build your graph from scratch, right? Don\u2019t worry, because you can easily convert your metrics. Here is how to do it:<\/p>\n"},{"acf_fc_layout":"sidebar","content":"

    Even after you converted your old metrics, you can continue to use them. If you want to convert them again later, simply open the new metrics graph and delete them. The next time you open the new metrics page, the conversion dialog will appear again.<\/p>\n

     <\/p>\n

    Projects continue to use the old metrics for the time being. Keep your old metrics graph in the model’s data manager so that you do not lose your project metrics.<\/p>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Right","spotlight_image":false},{"acf_fc_layout":"content","content":"

      \n
    1. Open your plan\u2019s settings or, if you want to convert the metrics in your urban model, open the model\u2019s data manager.<\/li>\n
    2. Click Dashboard<\/strong> and select Metrics (New)<\/strong>.
      \nUrban will automatically recognize that you have old metrics, but no new metrics yet.<\/li>\n
    3. A dialog shows up, asking if you want to convert your old metrics. Click OK.<\/li>\n
    4. Wait until the conversion is complete and your new metrics graph appears.<\/li>\n<\/ol>\n

       <\/p>\n

      The converted new metrics will not yet be active in the plan dashboard. To enable new metrics in your plan, exit the plan settings and open the dashboard. Click the switch at the top of the dashboard to enable new metrics.<\/p>\n

      Follow the examples below to better understand what the converted metric graph looks like and what additional actions we suggest you take.<\/p>\n"},{"acf_fc_layout":"content","content":"

      Example 1: Calculate population with space-use type parameters<\/h2>\n

      In the first example, we calculate population with space-use type parameters. This is what the old (top) and the new (bottom) metrics graphs look like:<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2608312,"id":2608312,"title":"1_Population_Old","filename":"1_Population_Old.png","filesize":39778,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/1_Population_Old.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/urban\/data-management\/convert-your-metrics-to-arcgis-urbans-new-metrics\/1_population_old","alt":"Old metrics graph calculating population.","author":"237172","description":"","caption":"Old metrics graph calculating population.","name":"1_population_old","status":"inherit","uploaded_to":2607922,"date":"2024-12-03 16:15:16","modified":"2024-12-03 17:31:33","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":3840,"height":828,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/1_Population_Old-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/1_Population_Old.png","medium-width":464,"medium-height":100,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/1_Population_Old.png","medium_large-width":768,"medium_large-height":166,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/1_Population_Old.png","large-width":1920,"large-height":414,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/1_Population_Old-1536x331.png","1536x1536-width":1536,"1536x1536-height":331,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/1_Population_Old-2048x442.png","2048x2048-width":2048,"2048x2048-height":442,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/1_Population_Old-826x178.png","card_image-width":826,"card_image-height":178,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/1_Population_Old-1920x414.png","wide_image-width":1920,"wide_image-height":414}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"image","image":{"ID":2608322,"id":2608322,"title":"1_Population_New","filename":"1_Population_New.png","filesize":72664,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/1_Population_New.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/urban\/data-management\/convert-your-metrics-to-arcgis-urbans-new-metrics\/1_population_new","alt":"Converted new metrics graph calculating population.","author":"237172","description":"","caption":"Converted new metrics graph calculating population.","name":"1_population_new","status":"inherit","uploaded_to":2607922,"date":"2024-12-03 16:15:20","modified":"2024-12-03 17:31:47","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":3005,"height":920,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/1_Population_New-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/1_Population_New.png","medium-width":464,"medium-height":142,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/1_Population_New.png","medium_large-width":768,"medium_large-height":235,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/1_Population_New.png","large-width":1920,"large-height":588,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/1_Population_New-1536x470.png","1536x1536-width":1536,"1536x1536-height":470,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/1_Population_New-2048x627.png","2048x2048-width":2048,"2048x2048-height":627,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/1_Population_New-826x253.png","card_image-width":826,"card_image-height":253,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/1_Population_New-1920x588.png","wide_image-width":1920,"wide_image-height":588}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

      As you can see, the new metrics graph is more explicit by showing the space-use type parameters and the division operator directly on the graph. You can now easily see that population is calculated by dividing the net space area by area per person.<\/p>\n"},{"acf_fc_layout":"content","content":"

      Example 2: Round population<\/h2>\n

      This example follows the first example, except that the population is additionally rounded:<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2608362,"id":2608362,"title":"2_RoundedPopulation_Old","filename":"2_RoundedPopulation_Old.png","filesize":39778,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/2_RoundedPopulation_Old.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/urban\/data-management\/convert-your-metrics-to-arcgis-urbans-new-metrics\/2_roundedpopulation_old","alt":"Old metrics graph calculating rounded population.","author":"237172","description":"","caption":"Old metrics graph calculating rounded population.","name":"2_roundedpopulation_old","status":"inherit","uploaded_to":2607922,"date":"2024-12-03 16:34:26","modified":"2024-12-03 17:31:12","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":3840,"height":828,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/2_RoundedPopulation_Old-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/2_RoundedPopulation_Old.png","medium-width":464,"medium-height":100,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/2_RoundedPopulation_Old.png","medium_large-width":768,"medium_large-height":166,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/2_RoundedPopulation_Old.png","large-width":1920,"large-height":414,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/2_RoundedPopulation_Old-1536x331.png","1536x1536-width":1536,"1536x1536-height":331,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/2_RoundedPopulation_Old-2048x442.png","2048x2048-width":2048,"2048x2048-height":442,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/2_RoundedPopulation_Old-826x178.png","card_image-width":826,"card_image-height":178,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/2_RoundedPopulation_Old-1920x414.png","wide_image-width":1920,"wide_image-height":414}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"image","image":{"ID":2608372,"id":2608372,"title":"2_RoundedPopulation_New_Edited","filename":"2_RoundedPopulation_New_Edited.png","filesize":26730,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/2_RoundedPopulation_New_Edited.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/urban\/data-management\/convert-your-metrics-to-arcgis-urbans-new-metrics\/2_roundedpopulation_new_edited","alt":"Converted new metrics graph calculating rounded population.","author":"237172","description":"","caption":"Converted new metrics graph calculating rounded population.","name":"2_roundedpopulation_new_edited","status":"inherit","uploaded_to":2607922,"date":"2024-12-03 16:35:07","modified":"2024-12-03 17:32:05","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":1000,"height":250,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/2_RoundedPopulation_New_Edited-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/2_RoundedPopulation_New_Edited.png","medium-width":464,"medium-height":116,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/2_RoundedPopulation_New_Edited.png","medium_large-width":768,"medium_large-height":192,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/2_RoundedPopulation_New_Edited.png","large-width":1000,"large-height":250,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/2_RoundedPopulation_New_Edited.png","1536x1536-width":1000,"1536x1536-height":250,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/2_RoundedPopulation_New_Edited.png","2048x2048-width":1000,"2048x2048-height":250,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/2_RoundedPopulation_New_Edited-826x207.png","card_image-width":826,"card_image-height":207,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/2_RoundedPopulation_New_Edited.png","wide_image-width":1000,"wide_image-height":250}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

      Compared to the old graph, the new graph explicitly shows a rounding metric. The unrounded metric in the converted graph doesn\u2019t have a name, because in the old graph rounding was a property of the metric itself. You can add a name by clicking on the metric, for example, Population (unrounded)<\/em>.<\/p>\n"},{"acf_fc_layout":"sidebar","content":"

      In general, the old and the new metrics are calculated in the same way and show the same values in the dashboard. The only exception is rounding: While the old metrics are rounded per space use-type per parcel, <\/em>the converted metrics are rounded per space by default. This can lead to slightly different values in the dashboard. Depending on your use case, we recommend that you review the rounding settings.<\/p>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Right","spotlight_image":false},{"acf_fc_layout":"content","content":"

      Additionally, the new metrics allow you to specify the resolution at which the metric is calculated. Think of the resolution as the metric calculation granularity. Ranging from high granularity to low granularity, you can control whether a metric is calculated per space, per parcel, or for a selection of parcels. In the population example, we can assume that people may live across multiple floors. So, it makes sense to change the rounding resolution from space<\/em> to building<\/em>. If you only care about rounded numbers in the dashboard but not on the building level, you can also choose study area or selection<\/em>, which will round population on whatever you have selected. If you want to learn more about the new metric resolution concept, check out our documentation<\/a>.<\/p>\n"},{"acf_fc_layout":"content","content":"

      Example 3: Calculate required parking spots with variables<\/h2>\n

      Let\u2019s now calculate the required parking spots based on the population and the number of jobs. In this example, there is one parking spot per job and 0.85 parking spots per resident required.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2608412,"id":2608412,"title":"3_Parking_Old","filename":"3_Parking_Old.png","filesize":82785,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/3_Parking_Old.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/urban\/data-management\/convert-your-metrics-to-arcgis-urbans-new-metrics\/3_parking_old","alt":"Old metrics graph calculating number of required parking spots.","author":"237172","description":"","caption":"Old metrics graph calculating number of required parking spots.","name":"3_parking_old","status":"inherit","uploaded_to":2607922,"date":"2024-12-03 16:51:59","modified":"2024-12-03 16:52:35","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":3792,"height":921,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/3_Parking_Old-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/3_Parking_Old.png","medium-width":464,"medium-height":113,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/3_Parking_Old.png","medium_large-width":768,"medium_large-height":187,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/3_Parking_Old.png","large-width":1920,"large-height":466,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/3_Parking_Old-1536x373.png","1536x1536-width":1536,"1536x1536-height":373,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/3_Parking_Old-2048x497.png","2048x2048-width":2048,"2048x2048-height":497,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/3_Parking_Old-826x201.png","card_image-width":826,"card_image-height":201,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/3_Parking_Old-1920x466.png","wide_image-width":1920,"wide_image-height":466}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"image","image":{"ID":2608472,"id":2608472,"title":"3_Parking_New_Edited","filename":"3_Parking_New_Edited-2-e1733246910122.png","filesize":113074,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/3_Parking_New_Edited-2-e1733246910122.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/urban\/data-management\/convert-your-metrics-to-arcgis-urbans-new-metrics\/3_parking_new_edited-3","alt":"Converted new metrics graph calculating number of required parking spots.","author":"237172","description":"","caption":"Converted new metrics graph calculating number of required parking spots.","name":"3_parking_new_edited-3","status":"inherit","uploaded_to":2607922,"date":"2024-12-03 16:58:28","modified":"2024-12-03 16:58:35","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":2000,"height":550,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/3_Parking_New_Edited-2-e1733246910122-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/3_Parking_New_Edited-2-e1733246910122-464x128.png","medium-width":464,"medium-height":128,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/3_Parking_New_Edited-2-e1733246910122-768x211.png","medium_large-width":768,"medium_large-height":211,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/3_Parking_New_Edited-2-e1733246910122-1920x528.png","large-width":1920,"large-height":528,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/3_Parking_New_Edited-2-e1733246910122-1536x422.png","1536x1536-width":1536,"1536x1536-height":422,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/3_Parking_New_Edited-2-e1733246910122.png","2048x2048-width":2000,"2048x2048-height":550,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/3_Parking_New_Edited-2-e1733246910122-826x227.png","card_image-width":826,"card_image-height":227,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/3_Parking_New_Edited-2-e1733246910122-1920x528.png","wide_image-width":1920,"wide_image-height":528}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

      The converted graph includes an additional multiplication operator Required parking spots for residents<\/em> to calculate the number of required parking spots for residents based on the variable Parking spots per resident<\/em>. Similarly to the second example, these metrics don\u2019t have names, because in the old graph they were hidden in the metric connection configuration. We recommend adding a name. Otherwise, the calculation summary for the Required parking spots<\/em> metric in the dashboard shows an unnamed input.<\/p>\n

      Note: If an optional chart label was defined in the old graph (for example, for Required parking spots for jobs<\/em>), this label is used as a name for the new metric.<\/p>\n"},{"acf_fc_layout":"content","content":"

      Example 4: Calculate energy use<\/h2>\n

      The last example illustrates a more complex combination of the above concepts. Energy use is calculated based on the rounded number of population and jobs, multiplied with space-use type specific energy consumption assumptions. They are configured as space-use type parameters.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2608522,"id":2608522,"title":"4_Energy_Old","filename":"4_Energy_Old-e1733246890475.png","filesize":83306,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_Old-e1733246890475.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/urban\/data-management\/convert-your-metrics-to-arcgis-urbans-new-metrics\/4_energy_old","alt":"Old metrics graph calculating energy use.","author":"237172","description":"","caption":"Old metrics graph calculating energy use.","name":"4_energy_old","status":"inherit","uploaded_to":2607922,"date":"2024-12-03 17:04:29","modified":"2024-12-03 17:25:14","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":3727,"height":888,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_Old-e1733246890475-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_Old-e1733246890475-464x111.png","medium-width":464,"medium-height":111,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_Old-e1733246890475-768x183.png","medium_large-width":768,"medium_large-height":183,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_Old-e1733246890475-1920x457.png","large-width":1920,"large-height":457,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_Old-e1733246890475-1536x366.png","1536x1536-width":1536,"1536x1536-height":366,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_Old-e1733246890475-2048x488.png","2048x2048-width":2048,"2048x2048-height":488,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_Old-e1733246890475-826x197.png","card_image-width":826,"card_image-height":197,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_Old-e1733246890475-1920x457.png","wide_image-width":1920,"wide_image-height":457}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"image","image":{"ID":2608572,"id":2608572,"title":"4_Energy_New_Edited","filename":"4_Energy_New_Edited-1.png","filesize":123108,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_New_Edited-1.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/urban\/data-management\/convert-your-metrics-to-arcgis-urbans-new-metrics\/4_energy_new_edited-2","alt":"Converted new metrics graph calculating energy use.","author":"237172","description":"","caption":"Converted new metrics graph calculating energy use.","name":"4_energy_new_edited-2","status":"inherit","uploaded_to":2607922,"date":"2024-12-03 17:13:12","modified":"2024-12-03 17:32:34","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":2000,"height":484,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_New_Edited-1-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_New_Edited-1.png","medium-width":464,"medium-height":112,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_New_Edited-1.png","medium_large-width":768,"medium_large-height":186,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_New_Edited-1.png","large-width":1920,"large-height":465,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_New_Edited-1-1536x372.png","1536x1536-width":1536,"1536x1536-height":372,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_New_Edited-1.png","2048x2048-width":2000,"2048x2048-height":484,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_New_Edited-1-826x200.png","card_image-width":826,"card_image-height":200,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_New_Edited-1-1920x465.png","wide_image-width":1920,"wide_image-height":465}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

      This example highlights another important point about rounding. As we learned in the second example, it is better to round population and jobs per building rather than per space. However, if we change the rounding settings for jobs and population from space to building, the graph will show a warning. This is because it is not possible to use a space-use type parameter in a metric calculated at the building resolution, which is the case for the two energy use metrics.<\/p>\n

      To get around this we can adjust the calculation and use unrounded population and jobs as input to calculate energy use. This will allow you to keep the space resolution and continue to use space-use type parameters in the calculation.<\/p>\n

      In some cases, such as in this example, we recommend using unrounded inputs to calculate metrics. Using rounded input values can easily lead to an under- or overestimation of a metric, as in the energy use example. Use the rounded metrics to show in the dashboard but use the unrounded metrics for further calculations.<\/p>\n

      This is what the adjusted graph looks like:<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2608772,"id":2608772,"title":"4_Energy_New_Optimized","filename":"4_Energy_New_Optimized-2.png","filesize":142896,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_New_Optimized-2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/urban\/data-management\/convert-your-metrics-to-arcgis-urbans-new-metrics\/4_energy_new_optimized-3","alt":"Converted and adjusted metrics graph calculating energy use.","author":"237172","description":"","caption":"Converted and adjusted metrics graph calculating energy use.","name":"4_energy_new_optimized-3","status":"inherit","uploaded_to":2607922,"date":"2024-12-03 17:40:31","modified":"2024-12-03 17:40:47","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":3161,"height":921,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_New_Optimized-2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_New_Optimized-2.png","medium-width":464,"medium-height":135,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_New_Optimized-2.png","medium_large-width":768,"medium_large-height":224,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_New_Optimized-2.png","large-width":1920,"large-height":559,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_New_Optimized-2-1536x448.png","1536x1536-width":1536,"1536x1536-height":448,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_New_Optimized-2-2048x597.png","2048x2048-width":2048,"2048x2048-height":597,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_New_Optimized-2-826x241.png","card_image-width":826,"card_image-height":241,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/4_Energy_New_Optimized-2-1920x559.png","wide_image-width":1920,"wide_image-height":559}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

      Key takeaways<\/h2>\n"},{"acf_fc_layout":"sidebar","content":"

      The old metrics will continue to be available for the time being, but will eventually be deprecated and removed in the future.<\/p>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Right","spotlight_image":false},{"acf_fc_layout":"content","content":"

      You can easily convert your metrics to the new metrics with just one click. You can use your new metrics immediately, if you enable them in your plan. However, we recommend that you first review and clean up the converted graph. The examples above will help you to do this. They also help you understand the visual differences between the old and the converted new metrics graph.<\/p>\n"}],"related_articles":[{"ID":2606982,"post_author":"8122","post_date":"2024-12-04 08:34:15","post_date_gmt":"2024-12-04 16:34:15","post_content":"","post_title":"What's New in ArcGIS Urban (December 2024)","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"whats-new-in-arcgis-urban-december-2024","to_ping":"","pinged":"","post_modified":"2024-12-04 08:39:51","post_modified_gmt":"2024-12-04 16:39:51","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2606982","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2606062,"post_author":"9662","post_date":"2024-12-03 03:03:18","post_date_gmt":"2024-12-03 11:03:18","post_content":"","post_title":"Quantify the impact of urban planning scenarios using metrics in ArcGIS Urban","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"quantify-the-impact-of-urban-planning-scenarios-using-metrics-in-arcgis-urban","to_ping":"","pinged":"","post_modified":"2024-12-04 08:05:01","post_modified_gmt":"2024-12-04 16:05:01","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2606062","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"show_article_image":false,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/12\/ArticleImage.png","wide_image":false},"yoast_head":"\nConvert your metrics to ArcGIS Urban's new metrics<\/title>\n<meta name=\"description\" content=\"Learn how to convert your metrics to Urban's new metrics and understand the differences between the old and the new metrics graph.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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After studying urban planning at ETH Zurich, he worked as a transportation planner designing and optimizing multimodal transportation systems. At Esri, he applies his knowledge in the field of planning and simulation to further improve ArcGIS Urban and how the cities of the future are planned.","sameAs":["https:\/\/www.linkedin.com\/in\/till-schmid\/"],"url":"https:\/\/www.esri.com\/arcgis-blog\/author\/tschmid"}]}},"text_date":"December 3, 2024","author_name":"Multiple Authors","author_page":"https:\/\/www.esri.com\/arcgis-blog\/products\/urban\/data-management\/convert-your-metrics-to-arcgis-urbans-new-metrics","custom_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/08\/Newsroom-Keyart-Wide-1920-x-1080.jpg","primary_product":"ArcGIS Urban","tag_data":[{"term_id":25781,"name":"3D","slug":"3d","term_group":0,"term_taxonomy_id":25781,"taxonomy":"post_tag","description":"","parent":0,"count":342,"filter":"raw"},{"term_id":406712,"name":"arcgis urban","slug":"arcgis-urban","term_group":0,"term_taxonomy_id":406712,"taxonomy":"post_tag","description":"","parent":0,"count":30,"filter":"raw"},{"term_id":549072,"name":"EsriRDZurich","slug":"esrirdzurich","term_group":0,"term_taxonomy_id":549072,"taxonomy":"post_tag","description":"","parent":0,"count":96,"filter":"raw"},{"term_id":26171,"name":"Urban Planning","slug":"urban-planning","term_group":0,"term_taxonomy_id":26171,"taxonomy":"post_tag","description":"","parent":0,"count":86,"filter":"raw"}],"category_data":[{"term_id":23851,"name":"Data Management","slug":"data-management","term_group":0,"term_taxonomy_id":23851,"taxonomy":"category","description":"","parent":0,"count":920,"filter":"raw"}],"product_data":[{"term_id":409602,"name":"ArcGIS Urban","slug":"urban","term_group":0,"term_taxonomy_id":409602,"taxonomy":"product","description":"","parent":36591,"count":62,"filter":"raw"}],"primary_product_link":"https:\/\/www.esri.com\/arcgis-blog\/?s=#&products=urban","_links":{"self":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog\/2607922","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/types\/blog"}],"author":[{"embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/users\/237172"}],"replies":[{"embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/comments?post=2607922"}],"version-history":[{"count":0,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog\/2607922\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/media?parent=2607922"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/categories?post=2607922"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/tags?post=2607922"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/industry?post=2607922"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/product?post=2607922"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}