{"id":2967750,"date":"2026-05-29T10:24:46","date_gmt":"2026-05-29T17:24:46","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2967750"},"modified":"2026-05-29T10:24:46","modified_gmt":"2026-05-29T17:24:46","slug":"enhanced-spatiotemporal-analysis-with-arcgis-allsource","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/allsource\/defense\/enhanced-spatiotemporal-analysis-with-arcgis-allsource","title":{"rendered":"Enhanced Spatiotemporal Analysis with ArcGIS AllSource"},"author":358202,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23341,37141,24641],"tags":[772312,23391,23571],"industry":[],"product":[764612],"class_list":["post-2967750","blog","type-blog","status-publish","format-standard","hentry","category-analytics","category-decision-support","category-defense","tag-defense-and-intel","tag-spatial-analytics","tag-whats-new","product-allsource"],"acf":{"authors":[{"ID":358202,"user_firstname":"Julia","user_lastname":"Bell","nickname":"Julia Bell","user_nicename":"juliabell","display_name":"Julia Bell","user_email":"juliabell@esri.com","user_url":"","user_registered":"2024-06-17 13:12:41","user_description":"Julia Bell is a National Security Product Engineer at Esri, supporting the Tysons R&D Center. Her primary interests include streamlining workflows with ArcGIS AllSource, and enabling better decision-making through ArcGIS. She holds both a Bachelor\u2019s and a Master\u2019s degree in GIS from the University of Maryland, College Park.","user_avatar":""}],"short_description":"Highlighting updates to the timeline and Knowledge graphs in ArcGIS AllSource can improve spatial workflows for intelligence analysts. ","flexible_content":[{"acf_fc_layout":"content","content":"

Intelligence analysis is a discipline comprised of unique workflows, that often require synthesizing diverse forms of information. One such form of information is spatial-temporal data, which gives insight into when and where certain events or phenomena occur and can be leveraged to uncover significant patterns and generate actionable conclusions.<\/p>\n

ArcGIS AllSource<\/a><\/strong> was designed with these intelligence users, data types, and workflows in mind. As this discipline and these workflows change and evolve, so too does our technology. The following workflow demonstrates how recent Timeline<\/strong><\/a> and Knowledge Graph<\/strong><\/a> enhancements in AllSource can empower users to identify<\/span>\u00a0key persons of interest in<\/span>\u00a0a fictional criminal organization<\/span>.\u00a0<\/span><\/span>\u00a0<\/span><\/p>\n

Using Movement Tools in ArcGIS AllSource<\/u><\/h2>\n

This example features simulated track data representing individuals being monitored within a\u00a0fictional\u00a0criminal organization of interest, using\u00a0<\/span>Moving Target Indication (MTI)\u00a0–<\/span><\/b>\u00a0a\u00a0radar technique designed to detect moving objects. The objective is to\u00a0identify\u00a0the\u00a0key players\u00a0in this organization\u00a0and where they may be operating. This MTI dataset\u00a0contains\u00a0roughly\u00a0200,000 points\u00a0collected over a two-week period. Although\u00a0the dataset\u00a0reveals the geographic footprint of the organization\u2019s activity,\u00a0it lacks additional contextual detail needed\u00a0to\u00a0fully\u00a0understand the\u00a0movements and behaviors of the\u00a0individuals\u00a0within this\u00a0network.\u00a0<\/span>\u00a0<\/span><\/p>\n

Analysts can leverage key tools\u00a0within AllSource that are\u00a0dedicated to working with this type of data:<\/span>\u00a0<\/span><\/p>\n