{"id":648,"date":"2023-11-16T11:17:17","date_gmt":"2023-11-16T16:17:17","guid":{"rendered":"https:\/\/sites.owu.edu\/geog-292\/?p=648"},"modified":"2023-11-16T11:17:17","modified_gmt":"2023-11-16T16:17:17","slug":"rose-week-4","status":"publish","type":"post","link":"https:\/\/sites.owu.edu\/geog-292\/2023\/11\/16\/rose-week-4\/","title":{"rendered":"Rose- Week 4"},"content":{"rendered":"<p><span style=\"font-weight: 400\">Rose week 4:<\/span><\/p>\n<p><span style=\"font-weight: 400\">Chapter 6:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Spatiotemporal data and real0time GIS basics: Handles current and continuous data<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Dynamic: something that moves<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Discrete: something that \u201cjust happens\u201d<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Stationary: stands still but values change<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Change: change or growth<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Sensory networks<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Spatially distributed autonomous sensor that can cooperatively pass data through network, often wirelessly, for live data access and analysis<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Internet of things(IoT)<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Network of physical objects or \u201cthings\u201d embedded with sensors and network connectivity, which enable these objects or \u201cthings\u201d to collect and exchange data<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">IoT applications<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Enterprise applications: smart cities, infrastructure management, environment quality monitoring, smart retail-inventory management, and precision agriculture<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Consumer applications: connected cars, connected health, and smart homes<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">ArcGIS Velocity<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Information and data come in from feeds then is processed in real time. The filtered and analyzed data is then put into various outputs like ArcGIS Dashboards, Insights, Web AppBuilder, and other apps, or just even to actuate devices<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">ArcGIS Dashboards<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Allows users to convey information by presenting location-based analytics using intuitive and interactive data visualizations on a single screen<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Ready to use data visualizations and other tools to interact with data<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">ArcGIS Mission<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Real-time geospatial communications and situational awareness product that provides users with picture of operating environments and helps coordination of movement and communication<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Three components: mission manager, mission responder, mission server<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">An idea I had for this section would be using a Dashboard to put in and show data of food insecurity and malnutrition. However, I think this would be difficult as there aren\u2019t set cases to something like food insecurity and is difficult to quantify and show in this format.\u00a0<\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Rose week 4: Chapter 6: Spatiotemporal data and real0time GIS basics: Handles current and continuous data Dynamic: something that moves Discrete: something that \u201cjust happens\u201d Stationary: stands still but values change Change: change or growth Sensory networks Spatially distributed autonomous sensor that can cooperatively pass data through network, often wirelessly, for live data access and analysis Internet of things(IoT) Network of physical objects or \u201cthings\u201d embedded with sensors and network connectivity, which enable these objects or \u201cthings\u201d to collect and exchange data IoT applications Enterprise applications: smart cities, infrastructure management, environment quality monitoring, smart retail-inventory management, and precision agriculture Consumer applications: connected cars, connected health, and smart homes ArcGIS Velocity Information and data come in from feeds then is processed in real time. The filtered and analyzed data is then put into various outputs like ArcGIS Dashboards, Insights, Web AppBuilder, and other apps, or just even to actuate devices ArcGIS Dashboards Allows users to convey information by presenting location-based analytics using intuitive and interactive data visualizations on a single screen Ready to use data visualizations and other tools to interact with data ArcGIS Mission Real-time geospatial communications and situational awareness product that provides users with picture of operating environments and helps coordination of movement and communication Three components: mission manager, mission responder, mission server An idea I had for this section would be using a Dashboard to put in and show data of food insecurity and malnutrition. However, I think this would be difficult as there aren\u2019t set cases to something like food insecurity and is difficult to quantify and show in this format.\u00a0<\/p>\n","protected":false},"author":2094,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-648","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts\/648","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\/2094"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/comments?post=648"}],"version-history":[{"count":1,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts\/648\/revisions"}],"predecessor-version":[{"id":649,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts\/648\/revisions\/649"}],"wp:attachment":[{"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/media?parent=648"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/categories?post=648"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/tags?post=648"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}