{"id":3106,"date":"2026-04-09T11:26:57","date_gmt":"2026-04-09T16:26:57","guid":{"rendered":"https:\/\/sites.owu.edu\/geog-292\/?p=3106"},"modified":"2026-04-09T11:27:34","modified_gmt":"2026-04-09T16:27:34","slug":"payne-week-4","status":"publish","type":"post","link":"https:\/\/sites.owu.edu\/geog-292\/2026\/04\/09\/payne-week-4\/","title":{"rendered":"Payne Week 4"},"content":{"rendered":"

Payne Week 4\u00a0<\/span><\/p>\n

Chapter 5 talks about how ArcGIS Enterprise allows organizations to build high performance WebGIS systems through on premises hosting and tile caching. Unlike ArcGIS Online Enterprise runs on private servers which gives organizations flexibility to match their needs. Tile caching is a big focus in this chapter and is a technique where map tiles are pre-rendered at different scales so they can be quickly \u2018delivered\u2019 to users rather than being generated every time a request is made.This makes working with large datasets on smaller devices like phones much easier. This chapter also discusses different layer types such as raster tiles, vector tiles, map image layers, and feature tiles. I found this chapter a little more confusing and technical than some of the others and I had to reread a few parts but after that it was easy to understand.\u00a0<\/span><\/p>\n

Chapter 6 goes over spatiotemporal data, which is information that tracks where things are and how they change over time. GIS tools like ArcGIS Velocity and ArcGIS Dashboards can take the raw information given from this data and turn it into something useful and visual. The concept of spatiotemporal data seemed to be pretty straightforward but I think that it would be a challenge to both handle the large amounts of data that are collected on a daily basis and to create a successful visualization of the data that leaves out the non important information.\u00a0<\/span><\/p>\n

Possible applications: With modern weather apps and navigation apps collecting so much data I imagine there could be an interface where severe weather patterns are mapped alongside directions to allow drivers to know what is coming in real time. An example of this would be if you were driving down the highway in light rain but there is a pocket of very heavy rain with limited visibility ahead and your navigation app could both warn you and give a real time radar image that is laid over your navigation screen.\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Payne Week 4\u00a0 Chapter 5 talks about how ArcGIS Enterprise allows organizations to build high performance WebGIS systems through on premises hosting and tile caching. Unlike ArcGIS Online Enterprise runs on private servers which gives organizations flexibility to match their needs. Tile caching is a big focus in this chapter and is a technique where map tiles are pre-rendered at different scales so they can be quickly \u2018delivered\u2019 to users rather than being generated every time a request is made.This makes working with large datasets on smaller devices like phones much easier. This chapter also discusses different layer types such as raster tiles, vector tiles, map image layers, and feature tiles. I found this chapter a little more confusing and technical than some of the others and I had to reread a few parts but after that it was easy to understand.\u00a0 Chapter 6 goes over spatiotemporal data, which is information that tracks where things are and how they change over time. GIS tools like ArcGIS Velocity and ArcGIS Dashboards can take the raw information given from this data and turn it into something useful and visual. The concept of spatiotemporal data seemed to be pretty straightforward but I think that it would be a challenge to both handle the large amounts of data that are collected on a daily basis and to create a successful visualization of the data that leaves out the non important information.\u00a0 Possible applications: With modern weather apps and navigation apps collecting so much data I imagine there could be an interface where severe weather patterns are mapped alongside directions to allow drivers to know what is coming in real time. An example of this would be if you were driving down the highway in light rain but there is a pocket of very heavy rain with limited visibility ahead and your navigation app could both warn you and give a real time radar image that is laid over your navigation screen.\u00a0<\/p>\n","protected":false},"author":2165,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3106","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts\/3106","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\/2165"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/comments?post=3106"}],"version-history":[{"count":2,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts\/3106\/revisions"}],"predecessor-version":[{"id":3108,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts\/3106\/revisions\/3108"}],"wp:attachment":[{"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/media?parent=3106"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/categories?post=3106"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/tags?post=3106"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}