{"id":640,"date":"2023-11-14T14:05:29","date_gmt":"2023-11-14T19:05:29","guid":{"rendered":"https:\/\/sites.owu.edu\/geog-292\/?p=640"},"modified":"2023-11-14T14:05:29","modified_gmt":"2023-11-14T19:05:29","slug":"brokaw-week-4","status":"publish","type":"post","link":"https:\/\/sites.owu.edu\/geog-292\/2023\/11\/14\/brokaw-week-4\/","title":{"rendered":"Brokaw week 4"},"content":{"rendered":"<p><span style=\"font-weight: 400\">Chapter 6: Spatiotemporal data and real-time GIS<\/span><\/p>\n<p><span style=\"font-weight: 400\">Real-time GIS Basics\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Moving &#8211; airplanes, trains, cars. (anything that moves)<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Discrete &#8211; earthquakes, criminal incidents. (things that \u2018just happen\u201d)<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Stationary &#8211; weather station measurements, water levels at stream gauges, traffic speed, live video footage. (stands still but values change)<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Change &#8211; perimeter of wildfires, flooded areas, urban sprawl. (change of growth)<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">IoT is a network of all physical objects with sensors embedded that will allow them to exchange data. An example would be smart cars and how they use IoT to connect with the geospatial cloud to find the best travel distance route and stay within traffic speeds.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">ArcGIS Velocity has new features like feed times that let users receive sensor inputs, real-time analytic items like processing and trigger alerts, and big data analytic items like historical observations.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">An application based on chapter 6 I would create is to find a map of OWU and create a layer with different events happening around campus for the week of November 13th &#8211; 17th. I would create a changing map to see how many students go to these events. Using spatiotemporal data I will collect this by using observational sensors. The duration of time will be stored in two fields for the start time of the event and the ending time.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Chapter 6: Spatiotemporal data and real-time GIS Real-time GIS Basics\u00a0 Moving &#8211; airplanes, trains, cars. (anything that moves) Discrete &#8211; earthquakes, criminal incidents. (things that \u2018just happen\u201d) Stationary &#8211; weather station measurements, water levels at stream gauges, traffic speed, live video footage. (stands still but values change) Change &#8211; perimeter of wildfires, flooded areas, urban sprawl. (change of growth) IoT is a network of all physical objects with sensors embedded that will allow them to exchange data. An example would be smart cars and how they use IoT to connect with the geospatial cloud to find the best travel distance route and stay within traffic speeds.\u00a0 ArcGIS Velocity has new features like feed times that let users receive sensor inputs, real-time analytic items like processing and trigger alerts, and big data analytic items like historical observations.\u00a0 An application based on chapter 6 I would create is to find a map of OWU and create a layer with different events happening around campus for the week of November 13th &#8211; 17th. I would create a changing map to see how many students go to these events. Using spatiotemporal data I will collect this by using observational sensors. The duration of time will be stored in two fields for the start time of the event and the ending time.\u00a0 &nbsp;<\/p>\n","protected":false},"author":2210,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-640","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts\/640","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/users\/2210"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/comments?post=640"}],"version-history":[{"count":1,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts\/640\/revisions"}],"predecessor-version":[{"id":641,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts\/640\/revisions\/641"}],"wp:attachment":[{"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/media?parent=640"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/categories?post=640"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/tags?post=640"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}