Chapter 6 explored the use of real-time GIS and spatiotemporal data, which helps track and visualize how things move, change, or stay the same over time and space.\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Moving Data: Tracks objects or events in motion, like traffic or wildlife.
\nDiscrete Data: Displays specific, random events, like accidents or weather occurrences.
\nStationary Data: Shows fixed objects whose properties change over time, such as population density.
\nChange: Illustrates growth or shifts, like urban development or the spread of invasive species.
\nReal-time GIS lets us view this data in real-time or over time, and we can decide whether to focus on specific moments or ongoing trends.<\/p>\n
Tutorial 1: I initially struggled to find the map needed for the exercises, but importing data from the Living Atlas solved the issue.
\nTutorial 2: I created a dashboard to monitor incidents in Delaware County, customizing the appearance and data displayed.
\nTutorial 3: I used categories to organize data on the map, making it easier to focus on specific areas.
\nTutorial 4: Arcade scripting allowed for more advanced formatting, improving the display of the data.
\nTutorial 5: I worked with time-series data, organizing it by time zones to keep it accurate.
\nTutorial 6: The final tutorial animated population changes in the U.S. over 200 years, showing how populations shifted over time.
\nApplication Idea: Real-time GIS could be used to track crowd sizes in Delaware businesses or OWU dining halls, helping people avoid crowded places. This would be similar to a “popularity tracker”\u00a0 which showed peak and off-peak times.<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
Chapter 6 explored the use of real-time GIS and spatiotemporal data, which helps track and visualize how things move, change, or stay the same over time and space.\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Moving Data: Tracks objects or events in motion, like traffic or wildlife. Discrete Data: Displays specific, random events, like accidents or weather occurrences. Stationary Data: Shows fixed objects whose properties change over time, such as population density. Change: Illustrates growth or shifts, like urban development or the spread of invasive species. Real-time GIS lets us view this data in real-time or over time, and we can decide whether to focus on specific moments or ongoing trends. Tutorial 1: I initially struggled to find the map needed for the exercises, but importing data from the Living Atlas solved the issue. Tutorial 2: I created a dashboard to monitor incidents in Delaware County, customizing the appearance and data displayed. Tutorial 3: I used categories to organize data on the map, making it easier to focus on specific areas. Tutorial 4: Arcade scripting allowed for more advanced formatting, improving the display of the data. Tutorial 5: I worked with time-series data, organizing it by time zones to keep it accurate. Tutorial 6: The final tutorial animated population changes in the U.S. over 200 years, showing how populations shifted over time. Application Idea: Real-time GIS could be used to track crowd sizes in Delaware businesses or OWU dining halls, helping people avoid crowded places. This would be similar to a “popularity tracker”\u00a0 which showed peak and off-peak times. <\/p>\n","protected":false},"author":2178,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1405","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts\/1405","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\/2178"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/comments?post=1405"}],"version-history":[{"count":1,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts\/1405\/revisions"}],"predecessor-version":[{"id":1406,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts\/1405\/revisions\/1406"}],"wp:attachment":[{"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/media?parent=1405"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/categories?post=1405"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/tags?post=1405"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}