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    <title>topic Re: Cluster/Group Point Data based on network distance? in Geoprocessing Questions</title>
    <link>https://community.esri.com/t5/geoprocessing-questions/cluster-group-point-data-based-on-network-distance/m-p/1495524#M27326</link>
    <description>&lt;P&gt;Hello.&lt;/P&gt;&lt;P&gt;I believe you want this:&lt;/P&gt;&lt;P&gt;&lt;A href="https://geoffboeing.com/2018/04/network-based-spatial-clustering/" target="_blank"&gt;Network-Based Spatial Clustering – Geoff Boeing&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Thu, 20 Jun 2024 17:31:48 GMT</pubDate>
    <dc:creator>HenriqueJoner</dc:creator>
    <dc:date>2024-06-20T17:31:48Z</dc:date>
    <item>
      <title>Cluster/Group Point Data based on network distance?</title>
      <link>https://community.esri.com/t5/geoprocessing-questions/cluster-group-point-data-based-on-network-distance/m-p/1046773#M25441</link>
      <description>&lt;P&gt;Hi all,&lt;/P&gt;&lt;P&gt;I need to make a point cluster analysis considering only the network distances between points.&lt;BR /&gt;I have a set of locations and the network distances between them (an ODCostMatrix output) and I would like to cluster the locations based on their proximity (street distance proximity).&lt;/P&gt;&lt;P&gt;I read some documentation about these two Spatial Statistics Tools:&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Spatially Contrained Multivariate Clustering&lt;/LI&gt;&lt;LI&gt;Cluster and Outlier Analysis&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;but both of them need an input variable to be considered when creating the cluster and I don't have it. I only want to evaluate the network distances between the points.&lt;/P&gt;&lt;P&gt;Does anyone have any idea of how this analysis could be done using ArcGIS Geoprocessing Tools?&lt;/P&gt;&lt;P&gt;Thank you,&lt;/P&gt;&lt;P&gt;Roxana&lt;/P&gt;</description>
      <pubDate>Wed, 14 Apr 2021 07:44:06 GMT</pubDate>
      <guid>https://community.esri.com/t5/geoprocessing-questions/cluster-group-point-data-based-on-network-distance/m-p/1046773#M25441</guid>
      <dc:creator>Roxana_ElenaUrdea</dc:creator>
      <dc:date>2021-04-14T07:44:06Z</dc:date>
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    <item>
      <title>Re: Cluster/Group Point Data based on network distance?</title>
      <link>https://community.esri.com/t5/geoprocessing-questions/cluster-group-point-data-based-on-network-distance/m-p/1050512#M25479</link>
      <description>&lt;P&gt;Hi Roxana,&lt;/P&gt;&lt;P&gt;I believe you have two sets of inputs one is polyline(Street datasets) and point datasets. If I understood perfectly your requirement is to find the distance between two points.&lt;/P&gt;&lt;P&gt;Step a: Build your street layer as a network dataset.&lt;/P&gt;&lt;P&gt;Step b: Create OD Cost Matrix using Network Analyst Extension in ArcGIS Pro&lt;/P&gt;&lt;P&gt;Step c:&amp;nbsp;&amp;nbsp;In Pro, Contents pane select OD Cost Matrix Origin layer, Once you select the origin layer you will see the OD Cost Matrix tab got highlight in the Pro ribbon.&amp;nbsp; Go to the Input data Import destination option and import your point cluster datasets in input locations and sub-layer as a destination under the Add locations geoprocessing tools and run (refer below screenshot).&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="DrVSSKiran_1-1619154689833.png" style="width: 400px;"&gt;&lt;img src="https://community.esri.com/t5/image/serverpage/image-id/11632i46FC00471CC136AE/image-size/medium?v=v2&amp;amp;px=400" role="button" title="DrVSSKiran_1-1619154689833.png" alt="DrVSSKiran_1-1619154689833.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;Output result between two-point features.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="DrVSSKiran_2-1619154836193.png" style="width: 400px;"&gt;&lt;img src="https://community.esri.com/t5/image/serverpage/image-id/11633i7D3355A891A2F462/image-size/medium?v=v2&amp;amp;px=400" role="button" title="DrVSSKiran_2-1619154836193.png" alt="DrVSSKiran_2-1619154836193.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;Kiran&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 23 Apr 2021 05:14:08 GMT</pubDate>
      <guid>https://community.esri.com/t5/geoprocessing-questions/cluster-group-point-data-based-on-network-distance/m-p/1050512#M25479</guid>
      <dc:creator>DrVSSKiran</dc:creator>
      <dc:date>2021-04-23T05:14:08Z</dc:date>
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    <item>
      <title>Re: Cluster/Group Point Data based on network distance?</title>
      <link>https://community.esri.com/t5/geoprocessing-questions/cluster-group-point-data-based-on-network-distance/m-p/1051628#M25499</link>
      <description>&lt;P&gt;Hi Kiran,&lt;/P&gt;&lt;P&gt;thank you for your reply.&lt;/P&gt;&lt;P&gt;Actually, I already have all the necessary input data, including the network distances between points.&lt;/P&gt;&lt;P&gt;What I need is to run a&amp;nbsp;&lt;SPAN&gt;cluster analysis on that location considering the existing network distance between them. Unfortunately I think there is no ArcGIS Pro tool that does this and the alternative is python and scipy clustering package.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;regards,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Roxana&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 27 Apr 2021 07:02:09 GMT</pubDate>
      <guid>https://community.esri.com/t5/geoprocessing-questions/cluster-group-point-data-based-on-network-distance/m-p/1051628#M25499</guid>
      <dc:creator>Roxana_ElenaUrdea</dc:creator>
      <dc:date>2021-04-27T07:02:09Z</dc:date>
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    <item>
      <title>Re: Cluster/Group Point Data based on network distance?</title>
      <link>https://community.esri.com/t5/geoprocessing-questions/cluster-group-point-data-based-on-network-distance/m-p/1154051#M26234</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.esri.com/t5/user/viewprofilepage/user-id/383163"&gt;@Roxana_ElenaUrdea&lt;/a&gt;&amp;nbsp;did you ever find a way of doing this?&lt;/P&gt;&lt;P&gt;We are running some parameters to come up with a priority scoring and then clustering for a maintenance backlog. We can use an as-the-crow-flies distance buffer but would be really cool to instead group into clusters based on a drive time using a network to be smarter about it (we have a lot of canyons here that can massively increase drive time!)&lt;/P&gt;&lt;P&gt;Something like...&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="BrittanyBurson_0-1647378520844.png" style="width: 400px;"&gt;&lt;img src="https://community.esri.com/t5/image/serverpage/image-id/36429i6A238099F457DEF2/image-size/medium?v=v2&amp;amp;px=400" role="button" title="BrittanyBurson_0-1647378520844.png" alt="BrittanyBurson_0-1647378520844.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;Thanks for asking this.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 15 Mar 2022 21:09:34 GMT</pubDate>
      <guid>https://community.esri.com/t5/geoprocessing-questions/cluster-group-point-data-based-on-network-distance/m-p/1154051#M26234</guid>
      <dc:creator>BrittanyBurson</dc:creator>
      <dc:date>2022-03-15T21:09:34Z</dc:date>
    </item>
    <item>
      <title>Re: Cluster/Group Point Data based on network distance?</title>
      <link>https://community.esri.com/t5/geoprocessing-questions/cluster-group-point-data-based-on-network-distance/m-p/1495524#M27326</link>
      <description>&lt;P&gt;Hello.&lt;/P&gt;&lt;P&gt;I believe you want this:&lt;/P&gt;&lt;P&gt;&lt;A href="https://geoffboeing.com/2018/04/network-based-spatial-clustering/" target="_blank"&gt;Network-Based Spatial Clustering – Geoff Boeing&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 20 Jun 2024 17:31:48 GMT</pubDate>
      <guid>https://community.esri.com/t5/geoprocessing-questions/cluster-group-point-data-based-on-network-distance/m-p/1495524#M27326</guid>
      <dc:creator>HenriqueJoner</dc:creator>
      <dc:date>2024-06-20T17:31:48Z</dc:date>
    </item>
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