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 ArcGIS Online.
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.
To access the spatial analysis service , you need an ArcGIS Online account and provide authentication using ArcGIS identity , which creates a temporary token using OAuth 2.0 protocol. API keys are not supported.
Use the ArcGISIdentity Manager
class from ArcGIS REST JS to configure ArcGIS identity authentication.
Go to the developer dashboard > OAuth2.0 tab and copy your application's Client ID .
In the authenticate.html file, replace YOUR_ CLIENT_ I D
with your Client ID .
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< script type = "module" >
import { ArcGISIdentityManager } from 'https://cdn.skypack.dev/@esri/arcgis-rest-request@4.0.0' ;
const clientId = "YOUR_CLIENT_ID" ;
const redirectUri = "authenticate.html" ;
ArcGISIdentityManager.completeOAuth2({
clientId,
redirectUri
})
</ script >
In the feature-analysis.html file, replace YOUR_ CLIENT_ I D
with your Client ID .
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const clientId = 'YOUR_CLIENT_ID' ;
const signInLabel = "Sign in" ;
const acctErrorMsg =
"You can only access the spatial analysis service if you have an ArcGIS Online account and you sign in with <a href='https://developers.arcgis.com/documentation/mapping-apis-and-services/security/user-authentication/'>user authentication</a> to authenticate requests to the service. ArcGIS Developer accounts and API keys are not supported. However, if you have an ArcGIS Developer account and would like to access the service, please contact <a href='https://www.esri.com/en-us/contact'>Esri.</a>" ;
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 points VTL
variables.
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const acctErrorMsg =
"You can only access the spatial analysis service if you have an ArcGIS Online account and you sign in with <a href='https://developers.arcgis.com/documentation/mapping-apis-and-services/security/user-authentication/'>user authentication</a> to authenticate requests to the service. ArcGIS Developer accounts and API keys are not supported. However, if you have an ArcGIS Developer account and would like to access the service, please contact <a href='https://www.esri.com/en-us/contact'>Esri.</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' ;
// This layer contains the results of a hot spot analysis executes on the points layer. You can use it to verify that your program is working.
const sampleResults =
'https://services3.arcgis.com/GVgbJbqm8hXASVYi/arcgis/rest/services/sf_osapi_driveways_sidewalk_hot_spots/FeatureServer/0' ;
// You may need to modify this path to reflect your actual file structure
Create a map
and set the session.token
to display a basemap layer.
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const initMap = ( withToken ) => {
// create map and add basemap
const basemapEnum = 'arcgis/human-geography' ;
map = new maplibregl.Map({
container : 'map' ,
style : `https://basemapstyles-api.arcgis.com/arcgis/rest/services/styles/v2/styles/arcgis/ ${basemapEnum} ?token= ${withToken} ` ,
center : [- 122.44571685791017 , 37.76053707395286 ],
zoom : 11 ,
});
};
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.off();
map.remove();
}
document .getElementById( 'signInModal' ).open = true ;
document .getElementById( 'runAnalysisBtn' ).disabled = true ;
}
};
Create a style definition for the parking violatons layer.
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let session = null ;
let map = null ;
let vtlLayer = {
id : 'vtlLayer' ,
type : 'circle' ,
source : 'violations' ,
'source-layer' : 'DeriveNewLocationsOutput' ,
paint : {
'circle-color' : 'rgb(0,0,0)' ,
'circle-radius' : 1.5 ,
},
};
Add the SF parking violations vector tile layer to the map.
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const initMap = ( withToken ) => {
// create map and add basemap
const basemapEnum = 'arcgis/human-geography' ;
map = new maplibregl.Map({
container : 'map' ,
style : `https://basemapstyles-api.arcgis.com/arcgis/rest/services/styles/v2/styles/arcgis/ ${basemapEnum} ?token= ${withToken} ` ,
center : [- 122.44571685791017 , 37.76053707395286 ],
zoom : 11 ,
});
let lastResultUrl = null ;
map.once( 'load' , () => {
map.addSource( 'violations' , {
type : 'vector' ,
tiles : [ ` ${pointsVTL} /tile/{z}/{y}/{x}.pbf` ],
});
map.addLayer(vtlLayer);
};
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 get Self
operation from ArcGIS REST JS to obtain the analysis URL.
Expand
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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);
Make the request Use the Job
class and set the operation URL
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.
Expand
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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 : `MapLibreGLJS_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;
};
Call the run Analysis
function to run the operation.
Expand
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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);
}
);
};
Display results The results of a feature analysis are returned as feature data .
Create a style definition for the analysis result layer.
Expand
Use dark colors for code blocks
Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line. Add line.
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