{"id":1933342,"date":"2023-05-16T11:04:46","date_gmt":"2023-05-16T18:04:46","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1933342"},"modified":"2024-01-22T14:24:38","modified_gmt":"2024-01-22T22:24:38","slug":"spatiotemporal-methods-with-arcgis-allsource-part-2-movement-data-and-analysis","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/allsource\/analytics\/spatiotemporal-methods-with-arcgis-allsource-part-2-movement-data-and-analysis","title":{"rendered":"Spatiotemporal methods with ArcGIS AllSource, Part 2: Movement data and analysis"},"author":331272,"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":[24311,40691,561612,30341],"industry":[],"product":[764612],"class_list":["post-1933342","blog","type-blog","status-publish","format-standard","hentry","category-analytics","category-decision-support","category-defense","tag-analysis","tag-analytics","tag-decision-support","tag-intelligence","product-allsource"],"acf":{"authors":[{"ID":331272,"user_firstname":"Stephen","user_lastname":"Kredel","nickname":"Stephen Kredel","user_nicename":"skredel","display_name":"Stephen Kredel","user_email":"skredel@esri.com","user_url":"","user_registered":"2023-02-06 18:23:52","user_description":"Stephen Kredel is a Product Engineer on the ArcGIS AllSource team. He joined Esri in 2022 and focuses on technical writing and help documentation. He has four years experience as a Geospatial Intelligence Imagery Analyst in the U.S. Army and earned his B.A. in history from the University of Redlands.","user_avatar":""},{"ID":48641,"user_firstname":"Matt","user_lastname":"Funk","nickname":"Matt Funk","user_nicename":"mfunk","display_name":"Matt Funk","user_email":"mfunk@esri.com","user_url":"","user_registered":"2020-06-18 14:01:05","user_description":"Matt has been with Esri for over 25 years most recently as a Principal Product Engineer on ArcGIS AllSource. His work includes building analytic capabilities into ArcGIS AllSource, including Geoprocessing tools, and making the documentation work.","user_avatar":""},{"ID":48671,"user_firstname":"James","user_lastname":"Jones","nickname":"James_Jones","user_nicename":"james_jones","display_name":"James Jones","user_email":"James_Jones@esri.com","user_url":"","user_registered":"2020-06-18 14:33:24","user_description":"Product Owner for ArcGIS AllSource. Lover of all things python, link analysis, and intelligence analysis.","user_avatar":""}],"short_description":"In this second part of our multipart blog, you will learn about movement data and the Movement toolset in ArcGIS AllSource.","flexible_content":[{"acf_fc_layout":"content","content":"

Everyone must travel. At some point, moving from point A to point B can\u2019t be helped. Today, all that movement can be recorded as data. Everything\u00a0from the\u00a0watch on your wrist to the car you drive can track your location at regular intervals and store it locally or in the cloud.\u00a0Often\u00a0this data is\u00a0simple\u00a0and lightweight, but it can be high volume,\u00a0making analysis using traditional GIS techniques challenging.\u00a0When talking about this highly accurate, point-in-time collection of data, we are referring to what is termed as\u00a0movement\u00a0data.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1933502,"id":1933502,"title":"Movement track data","filename":"Movement-track-data.png","filesize":330581,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/Movement-track-data.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/allsource\/analytics\/spatiotemporal-methods-with-arcgis-allsource-part-2-movement-data-and-analysis\/movement-track-data","alt":"Movement data on a map","author":"331272","description":"","caption":"Movement data before using movement analysis to predict patterns of life.","name":"movement-track-data","status":"inherit","uploaded_to":1933342,"date":"2023-05-15 22:11:56","modified":"2023-05-15 22:12:42","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":600,"height":355,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/Movement-track-data-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/Movement-track-data.png","medium-width":441,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/Movement-track-data.png","medium_large-width":600,"medium_large-height":355,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/Movement-track-data.png","large-width":600,"large-height":355,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/Movement-track-data.png","1536x1536-width":600,"1536x1536-height":355,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/Movement-track-data.png","2048x2048-width":600,"2048x2048-height":355,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/Movement-track-data.png","card_image-width":600,"card_image-height":355,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/Movement-track-data.png","wide_image-width":600,"wide_image-height":355}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Movement data defined<\/strong><\/h1>\n

Movement data is defined as anything that consists of simple point features, with a date-time field and some sort of unique identifier for the point assigning it to a track or device.\u00a0Often\u00a0movement data can be organized into point tracks, which are collections of movement data from the same device.\u00a0When thinking of movement data, think of data that you would see coming from a GPS.\u00a0This data can come in a variety of source formats, from comma-separated value (CSV) files, GPS Exchange Format (GPX), shapefiles,\u00a0Keyhole Markup Language (KML) files, or a myriad of Internet of Things data endpoints. Normally, these files can contain anywhere from a few thousand to millions of records per file. This data can come from cell phone apps,\u00a0mobile location data,\u00a0smartwatch applications, or devices such as ankle monitors for criminals and parolees.<\/p>\n

How can we analyze this rich source of data?<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1933512,"id":1933512,"title":"Movement toolset","filename":"Movement-toolset.png","filesize":111967,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/Movement-toolset.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/allsource\/analytics\/spatiotemporal-methods-with-arcgis-allsource-part-2-movement-data-and-analysis\/movement-toolset","alt":"Movement tools drop-down menu in the Tools group on the Analysis ribbon","author":"331272","description":"","caption":"","name":"movement-toolset","status":"inherit","uploaded_to":1933342,"date":"2023-05-15 22:13:41","modified":"2023-05-15 22:14:16","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":600,"height":633,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/Movement-toolset-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/Movement-toolset.png","medium-width":247,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/Movement-toolset.png","medium_large-width":600,"medium_large-height":633,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/Movement-toolset.png","large-width":600,"large-height":633,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/Movement-toolset.png","1536x1536-width":600,"1536x1536-height":633,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/Movement-toolset.png","2048x2048-width":600,"2048x2048-height":633,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/Movement-toolset-441x465.png","card_image-width":441,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/Movement-toolset.png","wide_image-width":600,"wide_image-height":633}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Movement tools can be found in the Tools<\/strong> group on the Analysis<\/strong> ribbon, under the Movement<\/strong> drop-down menu and in the AllSource Tools toolbox. These are a series of tools designed to process and analyze movement data. In Part 2 of this multipart blog, you will learn about movement data and the tools in the movement toolset. This toolset contains the following tools:<\/p>\n

 <\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1933522,"id":1933522,"title":"2023-05-15_14-58-37","filename":"2023-05-15_14-58-37.png","filesize":145035,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/2023-05-15_14-58-37.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/allsource\/analytics\/spatiotemporal-methods-with-arcgis-allsource-part-2-movement-data-and-analysis\/2023-05-15_14-58-37","alt":"Movement toolset in the Geoprocessing pane","author":"331272","description":"","caption":"The Movement toolset provides six movement geoprocessing tools, each designed for a unique function.","name":"2023-05-15_14-58-37","status":"inherit","uploaded_to":1933342,"date":"2023-05-15 22:14:59","modified":"2023-05-15 22:15:51","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":826,"height":454,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/2023-05-15_14-58-37-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/2023-05-15_14-58-37.png","medium-width":464,"medium-height":255,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/2023-05-15_14-58-37.png","medium_large-width":768,"medium_large-height":422,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/2023-05-15_14-58-37.png","large-width":826,"large-height":454,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/2023-05-15_14-58-37.png","1536x1536-width":826,"1536x1536-height":454,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/2023-05-15_14-58-37.png","2048x2048-width":826,"2048x2048-height":454,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/2023-05-15_14-58-37.png","card_image-width":826,"card_image-height":454,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/05\/2023-05-15_14-58-37.png","wide_image-width":826,"wide_image-height":454}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Classify Movement Events<\/strong>\u2014Identifies turn events, acceleration events, and speed from an input point track dataset.<\/p>\n

Compare Areas<\/strong>\u2014Compares movement point tracks across multiple known areas of interest.<\/p>\n

Find Cotravelers<\/strong>\u2014Extracts unique identifiers that are moving through space and time at specified intervals in a point track dataset.<\/p>\n

Find Frequented Locations<\/strong>\u2014Identifies locations where a movement track has dwelled for multiple time periods and aggregates those locations based on a track identifier.<\/p>\n

Find Meeting Locations<\/strong>\u2014Identifies locations where multiple unique movement tracks have dwelled for a defined time period.<\/p>\n

Select Movement Tracks<\/strong>\u2014Selects movement tracks based on an area of interest.<\/p>\n

Get started with the Movement toolset<\/strong><\/h1>\n

When you are ready to start analyzing your movement data,\u00a0a few steps need to occur prior to running the tools. First,\u00a0you\u00a0need to import the data. If the data is in a shapefile, you\u00a0can add\u00a0that to your map and\u00a0set your time field. Otherwise, if the data is stored in a CSV, KML, GPX,\u00a0or any other type of file, you will need to\u00a0convert the file with\u00a0one of\u00a0the following tools:<\/p>\n