{"id":2047972,"date":"2023-08-23T09:00:14","date_gmt":"2023-08-23T16:00:14","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2047972"},"modified":"2026-02-10T09:57:11","modified_gmt":"2026-02-10T17:57:11","slug":"find-by-attributes-and-location-analysis-tool-in-map-viewer","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/find-by-attributes-and-location-analysis-tool-in-map-viewer","title":{"rendered":"Learn How to Use the Find by Attributes and Location Tool in Map Viewer"},"author":6771,"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],"tags":[771412,771402,771392,25631],"industry":[],"product":[36581,36551],"class_list":["post-2047972","blog","type-blog","status-publish","format-standard","hentry","category-analytics","tag-attribute-querying","tag-hazard-assessment","tag-site-analysis","tag-spatial-analysis","product-arcgis-living-atlas","product-arcgis-online"],"acf":{"authors":[{"ID":343292,"user_firstname":"Gina","user_lastname":"Girgente","nickname":"ggirgente","user_nicename":"ggirgente","display_name":"Gina Girgente","user_email":"ggirgente@esri.com","user_url":"","user_registered":"2023-07-27 18:35:06","user_description":"Gina is a product engineer intern on the Map Viewer Analysis team for the Summer of 2023. After finishing graduate school in 2025, she plans to reapply for a full time position at Esri. Until then, please email the Map Viewer Analysis team (mapvieweranalysis-pes@esri.com) with any questions.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/pfp2-213x200.png' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"short_description":"Create spatial and attribute queries all in one new tool in Map Viewer: Find by Attributes and Location.","flexible_content":[{"acf_fc_layout":"sidebar","content":"<p><strong>Map Viewer Classic Has Retired <\/strong><\/p>\n<p>Map Viewer Classic is no longer available in <strong>ArcGIS Online<\/strong> and <strong>ArcGIS Enterprise<\/strong> (since November 2025, release of ArcGIS Enterprise 12.0). This follows the July 2024 retirement of the <strong>3.x version of the ArcGIS API for JavaScript<\/strong>, which powered Map Viewer Classic.<br \/>\n&nbsp;<br \/>\n<strong>What does this mean for you?<\/strong><\/p>\n<ul>\n<li>Maps previously saved in Map Viewer Classic will now open and be saved in Map Viewer.<\/li>\n<li>For the latest features and improved performance, use Map Viewer for all your mapping needs.<\/li>\n<\/ul>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Center","spotlight_image":false},{"acf_fc_layout":"content","content":"<p><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/announcements\/introducing-analysis-in-arcgis-online-map-viewer\/\" target=\"_blank\" rel=\"noopener\">Analysis tools are now in Map Viewer. <\/a>This includes a new, powerful tool: Find by Attributes and Location\u2013a combination of Find Existing Locations and Derive New Locations from Map Viewer Classic. Find by Attributes and Location allows you to make spatial and attribute expressions all in one analysis run.<\/p>\n<p>This blog will use the Find by Attributes and Location tool to demonstrate a combination of spatial and attribute queries. The example below will look for areas in the contiguous United States that are potentially hazardous for human health based on air quality.<\/p>\n<p>Being exposed to high levels of particulate matter in the air increases the risk of many respiratory and cardiovascular diseases. According to the World Health Organization, exposure to fine particulate matter that is under 2.5 micrograms (PM2.5) in a density above 10 micrograms per cubic meter can significantly impact human health. The main source of PM2.5 is emissions from combustion, including wildfires and the burning of fossil fuels. Coal power plants, for example, are a big contributor to PM2.5. While particle pollution can travel hundreds of miles from its source, providing short-term exposure to PM2.5, residents within about 30 kilometers of sustained emission sources experience long-term exposure to PM2.5. In the following workflow, you will use both short-term and long-term exposure to PM2.5 to assess current locations of hazardous air quality.<\/p>\n"},{"acf_fc_layout":"content","content":"<h2>Get and Prepare the Data<\/h2>\n"},{"acf_fc_layout":"content","content":"<p>To find out where the thresholds for PM2.5 are being exceeded in the United States, add data for air quality, power plants, and U.S. boundaries to Map Viewer.<\/p>\n<ol>\n<li>In the layers tab, click the <strong>Add<\/strong> button and select <strong>Living Atlas<\/strong> in the dropdown. Search for three layers:<\/li>\n<\/ol>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><em>AirNow Air Quality Monitoring Site Data (Current)<\/em> by the <em>Office of Air Quality Planning and Standards<\/em><\/li>\n<li><em>USA Counties Generalized Boundaries<\/em> by <em>Esri<\/em><\/li>\n<li><em>Power Plants in the U.S. <\/em>by<em> Federal User Community<\/em><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>Notice that the air quality layer is grayed out in the layers tab. This is because it isn\u2019t visible at the current scale of the map.<\/p>\n<ol start=\"2\">\n<li>Select the layer, then scroll to <strong>Visibility <\/strong>in the <strong>Properties<\/strong> pane. Select the <strong>Countries<\/strong> drop down and change the selection to <strong>Continent<\/strong>. The layer is now visible and is not grayed out in the layers pane.<\/li>\n<\/ol>\n"},{"acf_fc_layout":"image","image":{"ID":2048042,"id":2048042,"title":"PropertiesPane","filename":"fbaalPicture1.png","filesize":23471,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture1.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/find-by-attributes-and-location-analysis-tool-in-map-viewer\/fbaalpicture1","alt":"The Properties pane with the Continent dropdown selected","author":"343292","description":"","caption":"","name":"fbaalpicture1","status":"inherit","uploaded_to":2047972,"date":"2023-08-10 18:05:54","modified":"2023-08-10 18:10:49","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":302,"height":365,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture1-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture1.png","medium-width":216,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture1.png","medium_large-width":302,"medium_large-height":365,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture1.png","large-width":302,"large-height":365,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture1.png","1536x1536-width":302,"1536x1536-height":365,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture1.png","2048x2048-width":302,"2048x2048-height":365,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture1.png","card_image-width":302,"card_image-height":365,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture1.png","wide_image-width":302,"wide_image-height":365}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Next, filter the air quality data so that only features that meet certain requirements are shown on the map. You only want to analyze actively collected data where the <strong>Site Operational Status is Active<\/strong>, <strong>PM2.5 is not blank<\/strong>, and where the data<strong> (Country Code)<\/strong> <strong>is<\/strong> in the<strong> US<\/strong>.<\/p>\n<ol start=\"3\">\n<li>On the <strong>Settings<\/strong> (light) toolbar, click <strong>Filter<\/strong>, then click <strong>Add expression<\/strong>.<\/li>\n<\/ol>\n<p>The default expression is EPA AQS ID is 100010002. Change it to the filter criteria for this scenario.<\/p>\n<ol start=\"4\">\n<li>Change <strong>EPA AQS ID<\/strong> to <strong>Site Operational Status<\/strong>.<\/li>\n<\/ol>\n<p>The expression now reads Site Operational Status is Active. This is the correct expression.<\/p>\n<ol start=\"5\">\n<li>Click <strong>Add expression. <\/strong>Change the field in the second expression to <strong>PM2.5<\/strong>. Change the operator (<strong>is at least<\/strong>) to <strong>is not blank<\/strong>. Now only features with readings for PM2.5 will be shown.<\/li>\n<li>Add a third expression for <strong>Country Code is US<\/strong>.<\/li>\n<\/ol>\n<p>Ensure that the <strong>Filter results<\/strong> dropdown is set to <strong>Match all expressions<\/strong>. The filter is now showing air quality monitoring sites that match all of the specified criteria.<\/p>\n<ol start=\"7\">\n<li>Click <strong>Save<\/strong>.<\/li>\n<\/ol>\n"},{"acf_fc_layout":"image","image":{"ID":2048092,"id":2048092,"title":"FilterPane","filename":"fbaalPicture2.png","filesize":20885,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/find-by-attributes-and-location-analysis-tool-in-map-viewer\/fbaalpicture2","alt":"The filled-out Filter pane with the Save button selected","author":"343292","description":"","caption":"","name":"fbaalpicture2","status":"inherit","uploaded_to":2047972,"date":"2023-08-10 18:11:46","modified":"2023-08-10 18:12:17","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":216,"height":503,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture2.png","medium-width":112,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture2.png","medium_large-width":216,"medium_large-height":503,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture2.png","large-width":216,"large-height":503,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture2.png","1536x1536-width":216,"1536x1536-height":503,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture2.png","2048x2048-width":216,"2048x2048-height":503,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture2-200x465.png","card_image-width":200,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture2.png","wide_image-width":216,"wide_image-height":503}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h2>Analysis<\/h2>\n"},{"acf_fc_layout":"content","content":"<p>You will now begin to perform analysis to find what areas in the contiguous U.S. are hazardous to human health. To begin, it\u2019s important to <a href=\"https:\/\/www.arcgis.com\/sharing\/rest\/content\/items\/e8b85d508d2c4f21a3dec4e52dc7d9c4\/data\" target=\"_blank\" rel=\"noopener\">choose an appropriate projection<\/a> for the data extent and analysis. Since you are using data across the contiguous U.S., choose USA Contiguous Lambert Conformal Conic. This projection is suitable for midlatitude data at a continental scale in an east\/west configuration. You will also restrict your analysis to features within the desired study area by setting the processing extent using the map display.<\/p>\n<ol>\n<li>On the map, zoom in until only the contiguous U.S. is shown.<\/li>\n<\/ol>\n"},{"acf_fc_layout":"image","image":{"ID":2048102,"id":2048102,"title":"ContiguousU.S.","filename":"fbaalPicture3.png","filesize":758831,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture3.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/find-by-attributes-and-location-analysis-tool-in-map-viewer\/fbaalpicture3","alt":"A map zoomed in to only show the contiguous U.S.","author":"343292","description":"","caption":"","name":"fbaalpicture3","status":"inherit","uploaded_to":2047972,"date":"2023-08-10 18:13:51","modified":"2023-08-10 18:14:14","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":1123,"height":549,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture3-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture3.png","medium-width":464,"medium-height":227,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture3.png","medium_large-width":768,"medium_large-height":375,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture3.png","large-width":1123,"large-height":549,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture3.png","1536x1536-width":1123,"1536x1536-height":549,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture3.png","2048x2048-width":1123,"2048x2048-height":549,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture3-826x404.png","card_image-width":826,"card_image-height":404,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture3.png","wide_image-width":1123,"wide_image-height":549}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<ol start=\"2\">\n<li>On the <strong>Settings<\/strong> (light) toolbar, click <strong>Analysis<\/strong>, then click on the <strong>Analysis settings<\/strong> button at the bottom of the pane.<\/li>\n<li>In the <strong>General settings <\/strong>section of the Analysis settings pane, select <strong>Choose coordinate system<\/strong> in the dropdown of<strong> Output coordinate system<\/strong>. Search for <em>USA Contiguous Lambert Conformal Conic<\/em>.<\/li>\n<\/ol>\n"},{"acf_fc_layout":"image","image":{"ID":2048132,"id":2048132,"title":"AnalysisSettings","filename":"fbaajPicture4.png","filesize":21439,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaajPicture4.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/find-by-attributes-and-location-analysis-tool-in-map-viewer\/fbaajpicture4","alt":"The Analysis settings pane with USA Contiguous Lambert Conformal Conic selected","author":"343292","description":"","caption":"","name":"fbaajpicture4","status":"inherit","uploaded_to":2047972,"date":"2023-08-10 18:15:47","modified":"2023-08-10 18:16:12","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":391,"height":275,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaajPicture4-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaajPicture4.png","medium-width":371,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaajPicture4.png","medium_large-width":391,"medium_large-height":275,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaajPicture4.png","large-width":391,"large-height":275,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaajPicture4.png","1536x1536-width":391,"1536x1536-height":275,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaajPicture4.png","2048x2048-width":391,"2048x2048-height":275,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaajPicture4.png","card_image-width":391,"card_image-height":275,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaajPicture4.png","wide_image-width":391,"wide_image-height":275}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<ol start=\"4\">\n<li>Next, click the dropdown in the <strong>Processing extent<\/strong> section and choose <strong>Coordinates<\/strong>, then click the <strong>Set coordinates from current display extent<\/strong> button. Click <strong>Save<\/strong>. All of your analysis will now be performed using only the features found within this extent. Note, the coordinates below are an example and yours may not match exactly.<\/li>\n<\/ol>\n"},{"acf_fc_layout":"image","image":{"ID":2048152,"id":2048152,"title":"ProcessingExtent","filename":"fbaalPicture5.png","filesize":13938,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture5.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/find-by-attributes-and-location-analysis-tool-in-map-viewer\/fbaalpicture5","alt":"The Processing extent section with Set coordinates from current display extent selected, then the Save button selected","author":"343292","description":"","caption":"","name":"fbaalpicture5","status":"inherit","uploaded_to":2047972,"date":"2023-08-10 18:19:10","modified":"2023-08-10 18:19:35","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":201,"height":324,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture5-201x200.png","thumbnail-width":201,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture5.png","medium-width":162,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture5.png","medium_large-width":201,"medium_large-height":324,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture5.png","large-width":201,"large-height":324,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture5.png","1536x1536-width":201,"1536x1536-height":324,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture5.png","2048x2048-width":201,"2048x2048-height":324,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture5.png","card_image-width":201,"card_image-height":324,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture5.png","wide_image-width":201,"wide_image-height":324}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Once the new <strong>Analysis settings<\/strong> have been saved, you can run your analysis. You want to know air quality values at new locations based on the existing air quality layer, so you need a tool that can predict new values.<\/p>\n<ol start=\"5\">\n<li>In the <strong>Analysis<\/strong> pane, click <strong>Tools<\/strong>.<\/li>\n<li>In the search bar of the <strong>Tools<\/strong> pane, type <em>\u201cpredict\u201d<\/em>.<\/li>\n<li>Select the <strong>Interpolate Points\u00a0<\/strong>tool.<\/li>\n<\/ol>\n<p>You are looking to interpolate the <strong>PM2.5<\/strong> field of the <em>AirNow Air Quality Monitoring Site Data (Current)<\/em> layer so that you can approximate the amount of particulate matter throughout the U.S. Notice the red dots beside parameters that are required, like <strong>Input points<\/strong>. Be sure to fill out any required fields, otherwise the tool won\u2019t run.<\/p>\n<ol start=\"8\">\n<li>For <strong>Input points<\/strong>, choose the <em>AirNow Air Quality Monitoring Site Data (Current)<\/em>. For <strong>Field to interpolate<\/strong>, choose <strong>PM2.5<\/strong>.<\/li>\n<li>If you don\u2019t mind sacrificing some accuracy, changing the <strong>Calculation precision<\/strong> to <strong>Speed<\/strong> will make the tool perform faster. Do that here.<\/li>\n<li>The <strong>Classification type<\/strong> section allows you to control how the data is symbolized. To control the number of classes the data will be put into, choose <strong>Manual<\/strong>.<\/li>\n<li>Add the following <strong>Class break values<\/strong>: <em>5, 10, 15, 20, 25, 30, 35<\/em>.<\/li>\n<li>For <strong>Output features name, <\/strong>type \u201cInterpolated Air Quality\u201d.<\/li>\n<li>Scroll down to the <strong>Environment settings<\/strong> and notice that they have been automatically populated with the values you set before in the <strong>Analysis settings<\/strong> pane. Below are the input parameters:<\/li>\n<\/ol>\n"},{"acf_fc_layout":"image","image":{"ID":2048982,"id":2048982,"title":"InterpolatePoints1","filename":"fball6_1.png","filesize":44717,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fball6_1.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/find-by-attributes-and-location-analysis-tool-in-map-viewer\/fball6_1","alt":"The Interpolate Points tool filled out","author":"343292","description":"","caption":"","name":"fball6_1","status":"inherit","uploaded_to":2047972,"date":"2023-08-10 23:06:48","modified":"2023-08-10 23:07:06","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":383,"height":766,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fball6_1-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fball6_1.png","medium-width":131,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fball6_1.png","medium_large-width":383,"medium_large-height":766,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fball6_1.png","large-width":383,"large-height":766,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fball6_1.png","1536x1536-width":383,"1536x1536-height":766,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fball6_1.png","2048x2048-width":383,"2048x2048-height":766,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fball6_1-233x465.png","card_image-width":233,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fball6_1.png","wide_image-width":383,"wide_image-height":766}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"image","image":{"ID":2049002,"id":2049002,"title":"InterpolatePoints2","filename":"fbaalPicture6_2.png","filesize":25964,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture6_2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/find-by-attributes-and-location-analysis-tool-in-map-viewer\/fbaalpicture6_2","alt":"The Interpolate Points tool filled out","author":"343292","description":"","caption":"","name":"fbaalpicture6_2","status":"inherit","uploaded_to":2047972,"date":"2023-08-10 23:07:24","modified":"2023-08-10 23:07:40","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":383,"height":467,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture6_2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture6_2.png","medium-width":214,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture6_2.png","medium_large-width":383,"medium_large-height":467,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture6_2.png","large-width":383,"large-height":467,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture6_2.png","1536x1536-width":383,"1536x1536-height":467,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture6_2.png","2048x2048-width":383,"2048x2048-height":467,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture6_2-381x465.png","card_image-width":381,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture6_2.png","wide_image-width":383,"wide_image-height":467}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<ol start=\"14\">\n<li>Click <strong>Estimate credits. <\/strong>Since the air quality layer is live, the amount of features used in analysis between different tool runs will change, meaning that the estimated credit usage will also change.<\/li>\n<li>Click <strong>Run<\/strong>. Once the tool completes, you will have a layer of predicted air quality values across the contiguous U.S. and can move onto the next step.<\/li>\n<\/ol>\n"},{"acf_fc_layout":"content","content":"<h2>Use the Find by Attributes and Location Tool<\/h2>\n"},{"acf_fc_layout":"content","content":"<p>Next, you\u2019ll find locations of concern in the U.S. that meet various attribute and spatial-based criteria that represent short-term and long-term exposure.<\/p>\n<ol>\n<li>Click the back arrow in the <strong>Interpolate Points<\/strong> pane to return to the <strong>Tools<\/strong> pane.<\/li>\n<li>\u00a0In the search bar, type \u201c<em>criteria<\/em>\u201d. Select the <strong>Find by Attributes and Location<\/strong> tool.<\/li>\n<\/ol>\n<p>To query for places currently exposed to lower air quality, you will find features from U.S. counties that intersect the <em>Interpolated Air Quality<\/em> layer with PM2.5 values above the threshold of 10 micrograms per cubic meter. You\u2019ll complete this by first adding a spatial expression.<\/p>\n<ol start=\"3\">\n<li>Click the <strong>Build new query<\/strong> button and choose <strong>Spatial expression<\/strong>. Click <strong>Next<\/strong>.<\/li>\n<li>In the <strong>Find features from<\/strong> dropdown, select <em>USA Counties Generalized Boundaries<\/em>.<\/li>\n<\/ol>\n<p>The default spatial expression is <strong><em>USA Counties Generalized Boundaries<\/em> intersects <em>Interpolated Air Quality<\/em><\/strong>. This is the correct expression. However, you only want intersecting locations where the air quality is above a certain threshold, so you will add an attribute expression for the air quality layer.<\/p>\n<ol start=\"5\">\n<li>Click <strong>Expression<\/strong> and choose <strong>Attribute expression<\/strong> from the dropdown. You are now creating a group expression.<\/li>\n<\/ol>\n"},{"acf_fc_layout":"image","image":{"ID":2048202,"id":2048202,"title":"QueryBuilder1","filename":"fbaalPicture7.png","filesize":27485,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture7.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/find-by-attributes-and-location-analysis-tool-in-map-viewer\/fbaalpicture7","alt":"The Query builder with the Expression dropdown selected, then Attribute expression selected","author":"343292","description":"","caption":"","name":"fbaalpicture7","status":"inherit","uploaded_to":2047972,"date":"2023-08-10 18:24:12","modified":"2023-08-10 18:24:36","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":467,"height":278,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture7-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture7.png","medium-width":438,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture7.png","medium_large-width":467,"medium_large-height":278,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture7.png","large-width":467,"large-height":278,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture7.png","1536x1536-width":467,"1536x1536-height":278,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture7.png","2048x2048-width":467,"2048x2048-height":278,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture7.png","card_image-width":467,"card_image-height":278,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture7.png","wide_image-width":467,"wide_image-height":278}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<ol start=\"6\">\n<li>Create a query that finds features where <strong>Value_min<\/strong> <strong>is at least 10 <\/strong>micrograms per cubic meter. This expression represents short-term exposure by finding the counties with predicted PM2.5 values above 10.<\/li>\n<\/ol>\n<p>Next, you will add a second group of expressions representing long-term exposure. Create an expression to find locations that are within 30km of coal-burning power plants.<\/p>\n<ol start=\"7\">\n<li>Click the <strong>Spatial expression<\/strong> button at the bottom of the page to create a new expression. Fill out the expression to find U.S. counties that are <strong>within a distance <\/strong>of <strong>30 Kilometers <\/strong>of <em><strong>Power Plants in the U.S.\u00a0<\/strong><\/em><\/li>\n<\/ol>\n"},{"acf_fc_layout":"image","image":{"ID":2048242,"id":2048242,"title":"QueryBuilder2","filename":"fbaalPicture8.png","filesize":15346,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture8.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/find-by-attributes-and-location-analysis-tool-in-map-viewer\/fbaalpicture8","alt":"The Spatial expression button selected","author":"343292","description":"","caption":"","name":"fbaalpicture8","status":"inherit","uploaded_to":2047972,"date":"2023-08-10 18:30:17","modified":"2023-08-10 18:30:36","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":533,"height":207,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture8-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture8.png","medium-width":464,"medium-height":180,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture8.png","medium_large-width":533,"medium_large-height":207,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture8.png","large-width":533,"large-height":207,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture8.png","1536x1536-width":533,"1536x1536-height":207,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture8.png","2048x2048-width":533,"2048x2048-height":207,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture8.png","card_image-width":533,"card_image-height":207,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture8.png","wide_image-width":533,"wide_image-height":207}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<ol start=\"8\">\n<li>Refine your query to only look at coal power plants by adding the following attribute expression within the second spatial expression: <strong>Primary Source is Coal<\/strong>.<\/li>\n<li>Make sure your completed query looks like the image below, then click <strong>Add<\/strong>.<\/li>\n<\/ol>\n"},{"acf_fc_layout":"image","image":{"ID":2048252,"id":2048252,"title":"QueryBuilder3","filename":"fbaalPicture9.png","filesize":38224,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture9.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/find-by-attributes-and-location-analysis-tool-in-map-viewer\/fbaalpicture9","alt":"The completed expressions with the Add button selected","author":"343292","description":"","caption":"","name":"fbaalpicture9","status":"inherit","uploaded_to":2047972,"date":"2023-08-10 18:31:30","modified":"2023-08-10 18:31:50","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":413,"height":448,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture9-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture9.png","medium-width":241,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture9.png","medium_large-width":413,"medium_large-height":448,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture9.png","large-width":413,"large-height":448,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture9.png","1536x1536-width":413,"1536x1536-height":448,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture9.png","2048x2048-width":413,"2048x2048-height":448,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture9.png","card_image-width":413,"card_image-height":448,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture9.png","wide_image-width":413,"wide_image-height":448}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<ol start=\"10\">\n<li>For <strong>Output name<\/strong>, enter \u201cLocations for Air Quality Concern\u201d.<\/li>\n<li>Click <strong>Estimate credits. <\/strong>The credits consumed will vary based on the number of interpolation classes created.<\/li>\n<li>Click <strong>Run<\/strong>.<\/li>\n<\/ol>\n"},{"acf_fc_layout":"content","content":"<h2>Symbolize the Data<\/h2>\n"},{"acf_fc_layout":"content","content":"<p>Turn off all the layers except the two result layers. You now have a map with locations of both long and short-term exposure to poor air quality (symbolized in blue).<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2048282,"id":2048282,"title":"OriginalSymbology","filename":"fbaalPicture10.png","filesize":178306,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture10.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/find-by-attributes-and-location-analysis-tool-in-map-viewer\/fbaalpicture10","alt":"The original symbology for the two result layers","author":"343292","description":"","caption":"","name":"fbaalpicture10","status":"inherit","uploaded_to":2047972,"date":"2023-08-10 18:34:08","modified":"2023-08-10 18:34:27","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":624,"height":213,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture10-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture10.png","medium-width":464,"medium-height":158,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture10.png","medium_large-width":624,"medium_large-height":213,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture10.png","large-width":624,"large-height":213,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture10.png","1536x1536-width":624,"1536x1536-height":213,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture10.png","2048x2048-width":624,"2048x2048-height":213,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture10.png","card_image-width":624,"card_image-height":213,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture10.png","wide_image-width":624,"wide_image-height":213}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Note, since the air quality data layer is constantly updating, your results may look different.<\/p>\n<p>To better show which areas may be hazardous to human health, change the color of the <em>Locations for Air Quality Concern<\/em> layer. Red is commonly recognized as the color to symbolize danger, so select red from the color options in the <strong>Styles <\/strong>pane.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2048292,"id":2048292,"title":"UpdatedSymbology","filename":"fbaalPicture11.png","filesize":177544,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture11.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/find-by-attributes-and-location-analysis-tool-in-map-viewer\/fbaalpicture11","alt":"The updated symbology","author":"343292","description":"","caption":"","name":"fbaalpicture11","status":"inherit","uploaded_to":2047972,"date":"2023-08-10 18:35:01","modified":"2023-08-10 18:35:19","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":624,"height":213,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture11-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture11.png","medium-width":464,"medium-height":158,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture11.png","medium_large-width":624,"medium_large-height":213,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture11.png","large-width":624,"large-height":213,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture11.png","1536x1536-width":624,"1536x1536-height":213,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture11.png","2048x2048-width":624,"2048x2048-height":213,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture11.png","card_image-width":624,"card_image-height":213,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalPicture11.png","wide_image-width":624,"wide_image-height":213}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h2>Conclusion<\/h2>\n"},{"acf_fc_layout":"content","content":"<p>In conclusion, you now have a map that provides more insight into areas of the United States that may be dangerous to residents\u2019 health. You created this map using the new tool, Find by Attributes and Location, which supports spatial and attribute expressions in one single run. The Find by Attributes and Location tool can be used for a variety of use cases, such as site assessment and selection, <a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/analytics\/tips-and-tricks-for-selecting-subsets-of-data-for-analysis-in-map-viewer\/\" target=\"_blank\" rel=\"noopener\">preparing and cleaning data<\/a>, and more. This is just one of many tools available in Map Viewer.<\/p>\n<p>If you found this article helpful, please consider leaving feedback and questions in the comments section.<\/p>\n"}],"related_articles":"","card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalBanner1.png","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/08\/fbaalBanner1-1.png","show_article_image":false},"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>Find by Attributes and Location: A New Tool in Map Viewer<\/title>\n<meta name=\"description\" content=\"Select by attributes and location in just one analysis run by using a new tool in Map Viewer called Find by Attributes and Location.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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