A find centroids analysis resulting in a new layer that contains center points within USA state boundaries.
What is a find centroid analysis? A find centroid analysis is the process of finding the representative centers of each multipoint, polyline, or polygon feature. To execute the analysis, use the spatial analysis service and the Find
Real-world examples of this analysis include the following:
Preparing home or spending values for analyses that require point data. Finding the representative centers of parcels. Finding the representative centers for open spaces. How to find centroids The general steps to find centroids are as follows:
Review the parameters for the Find operation. Send a request to get the spatial analysis service URL. Execute a job request with the following URL and parameters: URL: https: Parameters:input: Your points dataset as a hosted feature layer or feature collection.point: Whether the output point locations are calculated by the geometric center of each input feature. output: A string representing the name of the hosted feature layer to reutrn with the results. Check the status . Get the output layer results . To see examples using ArcGIS API for Python, ArcGIS REST JS, and the ArcGIS REST API, go to Examples below.
URL request
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http : //<YOUR_ANALYSIS_SERVICE>/arcgis/rest/services/tasks/GPServer/FindCentroids/submitJob?<parameters>
Required parameters Name Description Examples fThe format of the data returned. f=json f=pjsontokenAn OAuth 2.0 access token . Learn how to get an access token in Security and authentication . token=<inputThe multipoint, line, or polygon features that will be used to generate centroid point features. {"url":"https:
Key parameters Name Description Examples pointOutput points are determined by the calculated geometric center of each input feature. If set to true the points will be contained by the bounds of the input feature. false (default)outputA string representing the name of the hosted feature layer to return with the results. NOTE : If you do not include this parameter, the results are returned as a feature collection (JSON). {"servicecontextA bounding box or output spatial reference for the analysis. "extent":{"xmin:
Code examples Find centroids within square bins This example uses the Find operation to generate points within square bins. The input value is the Generate tessellations in Portland hosted feature layer. The feature layer was created using the Generate operation. To learn how to generate square bins, go to generate tessellations .
Find centroid analysis showing centroids generated within square bins.
APIs ArcGIS API for Python ArcGIS API for Python ArcGIS REST JS
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inputLayer = {
"url" : "https://services3.arcgis.com/GVgbJbqm8hXASVYi/arcgis/rest/services/Generate_tessellations_on_Portland_boundary/FeatureServer/0"
}
results = find_centroids(
input_layer=inputLayer,
point_location= False ,
#Outputs results as a hosted feature layer.
output_name= f"Find centroids results"
)
result_features = results.layers[ 0 ].query()
print (
f"The find centroids layer has { len (result_features.features)} new records"
)
Service requests 1. Get the analysis service URL 2. Submit job 3. Check job status 4. Get results
Request HTTP HTTP cURL
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POST arcgis.com/sharing/rest/portals/self HTTP/ 1.1
Content- Type : application/x-www-form-urlencoded
&f = json
&token = <ACCESS_TOKEN>
Response (JSON)
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{
"helperServices" : {
// Other parameters
"analysis" : {
"url" : "https://<YOUR_ANALYSIS_SERVICE>/arcgis/rest/services/tasks/GPServer"
},
"geoenrichment" : {
"url" : "https://geoenrich.arcgis.com/arcgis/rest/services/World/GeoenrichmentServer"
}
}
}
Request HTTP HTTP cURL
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POST <YOUR_ANALYSIS_SERVICE>/arcgis/rest/services/tasks/GPServer/FindCentroids/submitJob HTTP/ 1.1
Content- Type : application/x-www-form-urlencoded
&f = json
&token = <ACCESS_TOKEN>
&inputLayer = { "url" : "https://services3.arcgis.com/GVgbJbqm8hXASVYi/arcgis/rest/services/Generate_tessellations_on_Portland_boundary/FeatureServer/0" }
&pointLocation = false
&outputName = { "serviceProperties" : { "name" : "Find centroids" } }
&context = { }
Response (JSON)
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{
"jobId" : "<JOB_ID>" ,
"jobStatus" : "esriJobSubmitted" ,
"results" : {},
"inputs" : {},
"messages" : []
}
Request HTTP HTTP cURL
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POST <YOUR_ANALYSIS_SERVICE>/arcgis/rest/services/tasks/GPServer/FindCentroids/jobs/<JOB_ID> HTTP/ 1.1
Content- Type : application/x-www-form-urlencoded
&f = json
&token = <ACCESS_TOKEN>
Response (JSON)
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// Executing job
{
"jobId" : "<JOB_ID>" ,
"jobStatus" : "esriJobExecuting" ,
"results" : {},
"inputs" : {},
"messages" : []
}
// Job succeeded
{
"jobId" : "<JOB_ID>" ,
"jobStatus" : "esriJobSucceeded" ,
"results" : {
"outputLayer" : {
"paramUrl" : "results/outputLayer"
},
},
"inputs" : {},
"messages" : []
}
Request HTTP HTTP cURL
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POST <YOUR_ANALYSIS_SERVICE>/arcgis/rest/services/tasks/GPServer/FindCentroids/jobs/<JOB_ID>/results/outputLayer HTTP/ 1.1
Content- Type : application/x-www-form-urlencoded
&f = json
&returnType = data
&token = <ACCESS_TOKEN>
Response (JSON)
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{
"paramName" : "outputLayer" ,
"dataType" : "GPString" ,
"value" : {
"url" : "<SERVICE_URL>" ,
"itemId" : "<ITEM_ID>"
}
}
Find centroids for census blocks This example uses the Find operation to generate points that represent census blocks. The input value is the Census blocks in SF hosted feature layer.
Find centroid analysis showing centroids generated from census blocks.
APIs ArcGIS API for Python ArcGIS API for Python ArcGIS REST JS
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inputLayer = "https://services3.arcgis.com/GVgbJbqm8hXASVYi/ArcGIS/rest/services/Intersect_of_U_S__Census_Blocks_and_SF_Neighborhoods/FeatureServer/0"
results = find_centroids(
input_layer=inputLayer,
point_location= False ,
#Outputs results as a hosted feature layer.
output_name= f"Find centroids results"
)
result_features = results.layers[ 0 ].query()
print (
f"The find centroids layer has { len (result_features.features)} new records"
)
Service requests 1. Get the analysis service URL 2. Submit job 3. Check job status 4. Get results
Request HTTP HTTP cURL
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POST arcgis.com/sharing/rest/portals/self HTTP/ 1.1
Content- Type : application/x-www-form-urlencoded
&f = json
&token = <ACCESS_TOKEN>
Response (JSON)
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{
"helperServices" : {
// Other parameters
"analysis" : {
"url" : "https://<YOUR_ANALYSIS_SERVICE>/arcgis/rest/services/tasks/GPServer"
},
"geoenrichment" : {
"url" : "https://geoenrich.arcgis.com/arcgis/rest/services/World/GeoenrichmentServer"
}
}
}
Request HTTP HTTP cURL
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POST <YOUR_ANALYSIS_SERVICE>/arcgis/rest/services/tasks/GPServer/FindCentroids/submitJob HTTP/ 1.1
Content- Type : application/x-www-form-urlencoded
&f = json
&token = <ACCESS_TOKEN>
&inputLayer = { "url" : "https://services3.arcgis.com/GVgbJbqm8hXASVYi/ArcGIS/rest/services/Intersect_of_U_S__Census_Blocks_and_SF_Neighborhoods/FeatureServer/0" }
&pointLocation = false
&outputName = { "serviceProperties" : { "name" : "Find centroids results" } }
&context = { }
Response (JSON)
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{
"jobId" : "<JOB_ID>" ,
"jobStatus" : "esriJobSubmitted" ,
"results" : {},
"inputs" : {},
"messages" : []
}
Request HTTP HTTP cURL
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POST <YOUR_ANALYSIS_SERVICE>/arcgis/rest/services/tasks/GPServer/FindCentroids/jobs/<JOB_ID> HTTP/ 1.1
Content- Type : application/x-www-form-urlencoded
&f = json
&token = <ACCESS_TOKEN>
Response (JSON)
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// Executing job
{
"jobId" : "<JOB_ID>" ,
"jobStatus" : "esriJobExecuting" ,
"results" : {},
"inputs" : {},
"messages" : []
}
// Job succeeded
{
"jobId" : "<JOB_ID>" ,
"jobStatus" : "esriJobSucceeded" ,
"results" : {
"outputLayer" : {
"paramUrl" : "results/outputLayer"
},
},
"inputs" : {},
"messages" : []
}
Request HTTP HTTP cURL
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POST <YOUR_ANALYSIS_SERVICE>/arcgis/rest/services/tasks/GPServer/FindCentroids/jobs/<JOB_ID>/results/outputLayer HTTP/ 1.1
Content- Type : application/x-www-form-urlencoded
&f = json
&returnType = data
&token = <ACCESS_TOKEN>
Response (JSON)
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{
"paramName" : "outputLayer" ,
"dataType" : "GPString" ,
"value" : {
"url" : "<SERVICE_URL>" ,
"itemId" : "<ITEM_ID>"
}
}
Tutorials Learn how to perform related analyses interactively with Map Viewer and programmatically with ArcGIS API for Python, ArcGIS REST JS, and ArcGIS REST API.
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