Perform a feature analysis

Learn how to perform a hot spot feature analysis with the spatial analysis service.

A feature analysis is the process of using the spatial analysis service to perform server-side geometric and analytic operations on feature data. All feature analysis requests are job requests. The easiest way to programmatically run an analysis request to the spatial analysis service is to use ArcGIS REST JS, which provides a Job class that handles long- running operations.

In this tutorial, you use ArcGIS REST JS to perform a hot spot analysis to find statistically significant clusters of parking violations.

Prerequisites

Steps

Get the starter app

1. Go to the Display a map tutorial and download the solution.
2. Unzip the folder and open it in a text editor of your choice, such as Visual Studio Code. The starter app includes the following:
   • callback.html: This contains callback as part of the authentication process.
   • index.html: This contains app logic and the OAuth 2.0 code necessary to perform the authentication.

Set up authentication

Create a new OAuth credential to register the application.

1. Go to the Create OAuth credentials for user authentication tutorial to create an OAuth credential.
2. Copy the Client ID and Redirect URL from your OAuth credentials item and paste them to a safe location. They will be used in a later step.

Set developer credentials

1. In both the index.html and callback.html files, replace YOUR_CLIENT_ID and YOUR_REDIRECT_URL with the client ID and redirect URL of your OAuth credentials.

   index.html

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       /* Use for user authentication */
       const session = await arcgisRest.ArcGISIdentityManager.beginOAuth2({
         clientId: "YOUR_CLIENT_ID", // Your client ID from OAuth credentials
         redirectUri: "YOUR_REDIRECT_URL", // The redirect URL registered in your OAuth credentials
         portal: "https://www.arcgis.com/sharing/rest" // Your portal URL
       })
   
   callback.html

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       arcgisRest.ArcGISIdentityManager.completeOAuth2({
         clientId: "YOUR_CLIENT_ID", // Your client ID from OAuth credentials
         redirectUri: "YOUR_REDIRECT_URL", // The redirect URL registered in your OAuth credentials
         portal: "https://www.arcgis.com/sharing/rest" // Your portal URL
       })
   

2. Run the app and ensure you can sign in successfully.

   Trouble signing in?

   If you are unable to sign in, make sure you have the correct redirect URL and port. This URL varies based on your application and typically takes the format of https://<server>[:port]/callback.html or http://my-arcgis-app:/auth. For example, if you are running an application on http://127.0.0.1:5500/, set http://127.0.0.1:5500/callback.html as your redirect URL in the index.html and callback.html file and your developer credential. They all have to match!

Add script references

In addition to Leaflet and Esri Leaflet, reference the Esri Leaflet renderers plugin to render the analysis results on your map. You also reference the Portal helper class from ArcGIS REST JS to obtain the spatial analysis service URL.

1. Add references to the renderer plugin and ArcGIS REST JS Portal helper class.

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     <!-- ArcGIS REST JS used for user authentication. -->
     <script src="https://unpkg.com/@esri/arcgis-rest-request@4/dist/bundled/request.umd.js"></script>
     <!-- Load Leaflet from CDN -->
     <link rel="stylesheet" href="https://unpkg.com/leaflet@1.9.4/dist/leaflet.css" crossorigin="" />
     <script src="https://unpkg.com/leaflet@1.9.4/dist/leaflet.js" crossorigin=""></script>
     <!-- Load Esri Leaflet from CDN -->
     <script src="https://unpkg.com/esri-leaflet@3.0.10/dist/esri-leaflet.js"></script>
     <script src="https://unpkg.com/esri-leaflet-vector@4.2.5/dist/esri-leaflet-vector.js"></script>
   
     <!-- Load Esri Leaflet Renderers from CDN -->
     <script src="https://unpkg.com/esri-leaflet-renderers@3.0.1" crossorigin=""></script>
     <!-- ArcGIS REST JS used for spatial analysis URL -->
     <script src="https://unpkg.com/@esri/arcgis-rest-portal@4/dist/bundled/portal.umd.js"></script>
   

Update the map

1. Update the map's viewpoint to [37.760, -122.445] and a zoom level of 13 to focus in San Fransisco, CA. Then, update the basemap to arcgis/human-geography.

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       const map = L.map("map", { minZoom: 2 }).setView([37.760, -122.445], 13);
       const basemapEnum = "arcgis/human-geography";
   
       L.esri.Vector.vectorBasemapLayer(basemapEnum, { token: accessToken }).addTo(map);
   

Display parking violations

To perform feature analysis, you need to provide feature data as input. In this tutorial, you use the SF parking violations hosted feature layer as input data for the hot spot analysis.

1. Add the parking violation feature layer and the corresponding vector tile layer to the points and pointsVTL variables.

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       const points =
         "https://services3.arcgis.com/GVgbJbqm8hXASVYi/arcgis/rest/services/sf_traffic_parking_violations_sa_osapi/FeatureServer/0";
   
       const pointsVTL =
         "https://vectortileservices3.arcgis.com/GVgbJbqm8hXASVYi/arcgis/rest/services/sf_traffic_parking_violations_sa_osapi/VectorTileServer";
   
   

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2. To optimize the rendering, add the SF parking violations vector tile layer to the map.

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       const points =
         "https://services3.arcgis.com/GVgbJbqm8hXASVYi/arcgis/rest/services/sf_traffic_parking_violations_sa_osapi/FeatureServer/0";
   
       const pointsVTL =
         "https://vectortileservices3.arcgis.com/GVgbJbqm8hXASVYi/arcgis/rest/services/sf_traffic_parking_violations_sa_osapi/VectorTileServer";
   
       map.createPane("vtl");
       map.getPane("vtl").style.zIndex = 800;
   
       const vtlLayer = L.esri.Vector.vectorTileLayer(pointsVTL, {
         pane: "vtl"
       }).addTo(map);
   

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3. Run the application. You should see the vector tile layer rendered on the map.

Get the analysis URL

To make a request to the spatial analysis service, you need to get the URL first. The analysis service URL is unique to your organization.

1. Call the getSelf operation from ArcGIS REST JS to obtain the analysis URL. Pass in accessToken to the authentication property.

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       const getAnalysisUrl = async (session) => {
         const portalSelf = await arcgisRest.getSelf({
           authentication: session
         });
   
         return portalSelf.helperServices.analysis.url;
       };
   

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Make the request

Use the Job class and set the operationURL and params required for the selected analysis.

1. Create a function that submits a Job request to the spatial analysis service using your organization's analysis URL. Set the params required for a hot spot analysis and authenticate using session.

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       const runAnalysis = async () => {
         const analysisUrl = await getAnalysisUrl(session);
         const operationUrl = `${analysisUrl}/FindHotSpots/submitJob`;
         const params = {
           analysisLayer: { url: points },
           shapeType: "Hexagon",
           outputName: {
             serviceProperties: {
               name: `Leaflet_find_hot_spots_${new Date().getTime()}`
             }
           } //Outputs results as a hosted feature service.
         };
   
         const jobReq = await arcgisRest.Job.submitJob({
           url: operationUrl,
           params: params,
           authentication: session
         });
   
         // get all the results, this will start monitoring and trigger events
         const jobResp = await jobReq.getAllResults();
   
         // jobResp.aggregatedLayer.value.url
         return jobResp;
       };
   
   

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2. Create an HTML div element called status and a loader to display the job status.

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     <div id="status" style="visibility: hidden;">
       <span class="loader"></span>
       <div id="info"></div>
     </div>
   
     <div id="map"></div>
   

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3. Apply CSS styling to the status and the loader.

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       #status {
         width: 400px;
         background-color: #303336;
         color: #edffff;
         z-index: 1000;
         position: absolute;
         font-family: Arial, Helvetica, sans-serif;
         top: 50%;
         left: 50%;
         transform: translate(-50%, -50%);
         display: flex;
         flex-direction: row;
         justify-content: center;
         padding: 5px;
         border-radius: 5px;
         gap: 10px;
         align-content: center;
         align-items: center;
         margin: auto;
       }
   
       .loader {
         width: 24px;
         height: 24px;
         border: 5px solid #edffff;
         border-bottom-color: #303336;
         border-radius: 50%;
         display: inline-block;
         box-sizing: border-box;
         animation: rotation 2s linear infinite;
       }
   
       @keyframes rotation {
         0% {
           transform: rotate(0deg);
         }
   
         100% {
           transform: rotate(360deg);
         }
       }
   

4. Create a function called showInfo to control the visibility and content of the status element.

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       const showInfo = (visible, msg) => {
         const statusUi = document.getElementById("status");
         !visible ? (statusUi.style.visibility = "hidden") : (statusUi.style.visibility = "visible");
         const infoUi = document.getElementById("info");
         infoUi.innerText = msg;
       };
   
       const runAnalysis = async () => {
         const analysisUrl = await getAnalysisUrl(session);
         const operationUrl = `${analysisUrl}/FindHotSpots/submitJob`;
         const params = {
           analysisLayer: { url: points },
           shapeType: "Hexagon",
           outputName: {
             serviceProperties: {
               name: `Leaflet_find_hot_spots_${new Date().getTime()}`
             }
           } //Outputs results as a hosted feature service.
         };
   
         const jobReq = await arcgisRest.Job.submitJob({
           url: operationUrl,
           params: params,
           authentication: session
         });
   
         // get all the results, this will start monitoring and trigger events
         const jobResp = await jobReq.getAllResults();
   
         // jobResp.aggregatedLayer.value.url
         return jobResp;
       };
   
   

   Expand

5. Use the function to dynamically update the status element with the current status of the analysis.

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       const runAnalysis = async () => {
         const analysisUrl = await getAnalysisUrl(session);
         const operationUrl = `${analysisUrl}/FindHotSpots/submitJob`;
         const params = {
           analysisLayer: { url: points },
           shapeType: "Hexagon",
           outputName: {
             serviceProperties: {
               name: `Leaflet_find_hot_spots_${new Date().getTime()}`
             }
           } //Outputs results as a hosted feature service.
         };
   
         const jobReq = await arcgisRest.Job.submitJob({
           url: operationUrl,
           params: params,
           authentication: session
         });
   
         showInfo(true, "Initializing analysis...");
   
         // listen to the status event to get updates every time the job status is checked.
         jobReq.on(arcgisRest.JOB_STATUSES.Status, (jobInfo) => {
           showInfo(true, "Hot spot analysis running...");
         });
   
         // get all the results, this will start monitoring and trigger events
         const jobResp = await jobReq.getAllResults();
   
         // jobResp.aggregatedLayer.value.url
         return jobResp;
       };
   

   Expand

6. Call the runAnalysis function and store its response in jobResponse.

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       const showInfo = (visible, msg) => {
         const statusUi = document.getElementById("status");
         !visible ? (statusUi.style.visibility = "hidden") : (statusUi.style.visibility = "visible");
         const infoUi = document.getElementById("info");
         infoUi.innerText = msg;
       };
   
       const runAnalysis = async () => {
         const analysisUrl = await getAnalysisUrl(session);
         const operationUrl = `${analysisUrl}/FindHotSpots/submitJob`;
         const params = {
           analysisLayer: { url: points },
           shapeType: "Hexagon",
           outputName: {
             serviceProperties: {
               name: `Leaflet_find_hot_spots_${new Date().getTime()}`
             }
           } //Outputs results as a hosted feature service.
         };
   
         const jobReq = await arcgisRest.Job.submitJob({
           url: operationUrl,
           params: params,
           authentication: session
         });
   
         showInfo(true, "Initializing analysis...");
   
         // listen to the status event to get updates every time the job status is checked.
         jobReq.on(arcgisRest.JOB_STATUSES.Status, (jobInfo) => {
           showInfo(true, "Hot spot analysis running...");
         });
   
         // get all the results, this will start monitoring and trigger events
         const jobResp = await jobReq.getAllResults();
   
         // jobResp.aggregatedLayer.value.url
         return jobResp;
       };
   
       const jobResponse = await runAnalysis()
   

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Display results

The results of a feature analysis are returned as feature data.

1. Add the layer to the map by accessing the URL of the resulting hosted feature layer from the job's response. Then, hide the status element.

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       L.esri.featureLayer({
         url: jobResponse.hotSpotsResultLayer.value.url,
         token: accessToken
       }).addTo(map);
   
       showInfo(false, "");
   

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Run the app

Run the application and navigate to your localhost, for example https://localhost:8080.

After signing in, a request is sent to the spatial analysis service to perform a hot spot analysis. When the job is complete, the results of the analysis will display on the map. The analysis can take up to a minute to complete.

What's next?

To learn how to perform other types of feature analysis, go to the related tutorials in the Spatial analysis services guide: