Perform a feature analysis

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

Run a find hot spot analysis on traffic and parking violations in San Francisco.

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

You need the following to access the spatial analysis service and perform feature analysis operations:

An ArcGIS Online account.
A registered application to obtain its Client ID.
The redirect URL of the registered application to use for authentication in the format "https://<server>[:port]" as in: https://localhost:8080.

Steps

Download the starter code

Download the tutorial starter code zip file from the portal.

The zip file contains the following:

feature-analysis.html
authenticate.html

The feature-analysis.html file contains basic HTML scaffolding and the OAuth 2.0 code necessary to perform the analysis. The authenticate.html file is the callback page used as part of the authentication process.

Configure authentication

To access the spatial analysis service, you need an access token with privileges to perform spatial analysis. Use the ArcGISIdentityManager class from ArcGIS REST JS to configure user authentication.

Go to the item page of your OAuth credentials and copy the Client ID.

In the authenticate.html file, replace YOUR_CLIENT_ID with your Client ID.

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    <script type="module">
      import { ArcGISIdentityManager } from 'https://esm.run/@esri/arcgis-rest-request@4.0.0';

      const clientId = "YOUR_CLIENT_ID";

      const redirectUri = "authenticate.html";
      ArcGISIdentityManager.completeOAuth2({
        clientId,
        redirectUri
      })
    </script>
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In the feature-analysis.html file, replace YOUR_CLIENT_ID with your Client ID.

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      let session = null;
      let map = null;
      let lastResultUrl = null;
      let lastResultLayer = null;
      let vtlLayer = null;

      const clientId = 'YOUR_CLIENT_ID';
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Run the application and navigate to your localhost, for example https://localhost:8080.

You should be able to click the Sign in button and successfully log in to an ArcGIS Online account.

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.

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

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      const modalText = "To perform feature analysis you need an ArcGIS Online account. Learn more in <a href='https://developers.arcgis.com/documentation/mapping-apis-and-services/spatial-analysis/feature-analysis/introduction/#limitations'>Limitations.</a>"

      const acctErrorMsg =
        "You can only access the spatial analysis service if you have an access token with privileges to perform spatial analysis. To learn more, go to the <a href='https://developers.arcgis.com/documentation/mapping-apis-and-services/security/'>Security and authentication guide</a>.";

      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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Create a map and use the session token to display a basemap.

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      const initMap = (withToken) => {
        // create map and add basemap
        map = new ol.Map({ target: 'map' });
        map.setView(
          new ol.View({
            center: ol.proj.fromLonLat([
              -122.44571685791017, 37.76053707395286,
            ]),
            zoom: 13,
          })
        );

        const basemapURL = `https://basemapstyles-api.arcgis.com/arcgis/rest/services/styles/v2/styles/${basemapEnum}?token=${withToken}`;
        // Use olms to apply the basemap style to your map.
        olms.apply(map, basemapURL).then((map) => {

          // Add Esri attribution
          // Learn more in https://esriurl.com/attribution
          const source = map.getLayers().item(0).getSource();
          source.setAttributions("Powered by <a href='https://www.esri.com/en-us/home' target='_blank'>Esri</a> | ")

        });
      };

      const updateSessionInfo = (session) => {
        let sessionInfo = document.getElementById('withPopupButton');

        if (session) {
          sessionInfo.innerHTML = `Sign out : ${session.username}`;
          localStorage.setItem(
            '__ARCGIS_REST_USER_SESSION__',
            session.serialize()
          );

          initMap(session.token);

          document.getElementById('signInModal').open = false;
          document.getElementById('runAnalysisBtn').disabled = false;
        } else {
          sessionInfo.innerHTML = signInLabel;
          if (map) {
            map.setTarget(undefined);
          }
          document.getElementById('signInModal').open = true;
          document.getElementById('runAnalysisBtn').disabled = true;
        }
      };
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Add the SF parking violations vector tile layer to the map.

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      const initMap = (withToken) => {
        // create map and add basemap
        map = new ol.Map({ target: 'map' });
        map.setView(
          new ol.View({
            center: ol.proj.fromLonLat([
              -122.44571685791017, 37.76053707395286,
            ]),
            zoom: 13,
          })
        );

        const basemapURL = `https://basemapstyles-api.arcgis.com/arcgis/rest/services/styles/v2/styles/${basemapEnum}?token=${withToken}`;
        // Use olms to apply the basemap style to your map.
        olms.apply(map, basemapURL).then((map) => {

          const parcelsSource = new ol.source.VectorTile({
            format: new ol.format.MVT(),
            url: `${pointsVTL}/tile/{z}/{y}/{x}.pbf`,
          });

          vtlLayer = new ol.layer.VectorTile({
            source: parcelsSource,
            style: (f) => {
              return new ol.style.Style({
                image: new ol.style.Circle({
                  fill: new ol.style.Fill({
                    color: 'rgb(0,0,0)',
                  }),
                  radius: 1.5,
                }),
              });
            },
          });

          map.addLayer(vtlLayer);

          // Add Esri attribution
          // Learn more in https://esriurl.com/attribution
          const source = map.getLayers().item(0).getSource();
          source.setAttributions("Powered by <a href='https://www.esri.com/en-us/home' target='_blank'>Esri</a> | ")

        });
      };
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Run the application and navigate to your localhost, for example https://localhost:8080. After you sign in, you will 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.

Call the getSelf operation from ArcGIS REST JS to obtain the analysis URL.

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      const getAnalysisUrl = async (withAuth) => {
        const portalSelf = await getSelf({
          authentication: withAuth,
        });

        return portalSelf.helperServices.analysis.url;
      };


      document
        .getElementById('withPopupButton')
        .addEventListener('click', getAuth);
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Make the request

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

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 the session token.

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      const getAnalysisUrl = async (withAuth) => {
        const portalSelf = await getSelf({
          authentication: withAuth,
        });

        return portalSelf.helperServices.analysis.url;
      };

      const runAnalysis = async () => {
        const analysisUrl = await getAnalysisUrl(session);
        const operationUrl = `${analysisUrl}/FindHotSpots/submitJob`;
        const params = {
          analysisLayer: { url: points },
          shapeType: 'Hexagon',
          outputName: {
            serviceProperties: {
              name: `OpenLayers_find_hot_spots_${new Date().getTime()}`,
            },
          }, //Outputs results as a hosted feature serivce.
        };

        const jobReq = await Job.submitJob({
          url: operationUrl,
          params: params,
          authentication: session,
        });

        // listen to the status event to get updates every time the job status is checked.
        jobReq.on(JOB_STATUSES.Status, (jobInfo) => {
          console.log(jobInfo.status);
        });

        // 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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Call the runAnalysis function to execute the operation.

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      const runAnalysisBtnWasClicked = (evt) => {
        document.getElementById('runAnalysisBtn').hidden = true;
        document.getElementById('progressBar').hidden = false;
        document.getElementById('withPopupButton').disabled = true;

        runAnalysis().then(
          (results) => {
            document.getElementById('runAnalysisBtn').hidden = false;
            document.getElementById('progressBar').hidden = true;
            document.getElementById('withPopupButton').disabled = false;

          },
          (err) => {
            console.log(err);
            document.getElementById('progressBar').hidden = true;
            document.getElementById('runAnalysisBtn').hidden = false;
            document.getElementById('withPopupButton').disabled = false;
            showAlert(err);
          }
        );

      };
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Display results

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

Access the URL of the results layer when the analysis completes.

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        runAnalysis().then(
          (results) => {
            document.getElementById('runAnalysisBtn').hidden = false;
            document.getElementById('progressBar').hidden = true;
            document.getElementById('withPopupButton').disabled = false;

            lastResultUrl = results.hotSpotsResultLayer.value.url;
            addResults(false);

          },
          (err) => {
            console.log(err);
            document.getElementById('progressBar').hidden = true;
            document.getElementById('runAnalysisBtn').hidden = false;
            document.getElementById('withPopupButton').disabled = false;
            showAlert(err);
          }
        );
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Add the results to the map from the hosted feature layer URL as GeoJSON.

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      // You may need to modify this path to reflect your actual file structure
      const redirectUri = `${window.location.origin}/authenticate.html`;

      const addResults = () => {
        const vectorSource = new ol.source.Vector({
        format: new ol.format.GeoJSON(),
        url: `${lastResultUrl}/query?f=geojson&where=Gi_Bin<>0&outFields=Gi_Text&token=${session.token}`,
        });

        lastResultLayer = new ol.layer.Vector({
        source: vectorSource,
        style: (feature) => {
            const fieldValue = feature.get('Gi_Text');
            const colorTable = {
            'Hot Spot with 99% Confidence': '#d62f27',
            'Hot Spot with 95% Confidence': '#ed7551',
            'Hot Spot with 90% Confidence': '#fab984',
            'Not Significant': '#f7f7f2',
            'Cold Spot with 90% Confidence': '#c0ccbe',
            'Cold Spot with 95% Confidence': '#849eba',
            'Cold Spot with 99% Confidence': '#4575b5',
            };

            return new ol.style.Style({
            fill: new ol.style.Fill({
                color: colorTable[fieldValue || 'transparent'],
            }),
            });
        },
        });
        map.addLayer(lastResultLayer);

        document.getElementById('clearResultsBtn').disabled = false;
        document.getElementById('runAnalysisBtn').disabled = true;
      };

      const clearResults = () => {
        if (lastResultLayer) {
          map.removeLayer(lastResultLayer);
          document.getElementById('clearResultsBtn').disabled = true;
          document.getElementById('runAnalysisBtn').disabled = false;
          document.getElementById('resultsCBox').checked = false;
        }
      };
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Run the app

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

When you click the Run analysis button, you submit a request 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.