\n
Week 4<\/b><\/em><\/p>\n Readings from Getting to Know Web GIS<\/i> (Chapters 5 and 6) Mmaking web maps run faster behind the scenes and bringing live, changing information onto the screen.<\/p>\n Chapter 5<\/strong><\/em><\/p>\n Explained two interesting ideas First map caching and hosting maps on private servers. Caching is basically like taking snapshots of a map at different zoom levels ahead of time. Instead of making a computer redraw every single road, river, and border from scratch every time someone scrolls or zooms, the map just loads premade image tiles. This makes web maps feel smooth and instant. The chapter also compared using public cloud tools like ARC Online GIS with running your own private, on-premises system. Cloud tools are nice, places like hospitals or government agencies like to keep everything on their own local servers for security. Working through the tutorial went oakay.\u00a0 Button names in the software looked\u00a0 different from the textbook screenshots\u00a0 I spend most of my time trying to figure out where the correct butttons are….<\/p>\n Chapter 6 <\/strong><\/em><\/p>\n Turned from static maps to live, time based data. Instead of looking at a single\u00a0 moment, spatiotemporal GIS lets us track how things move and change for instance like watching weather patterns roll across a state or tracking buses in real time. Setting up time sliders in the lab really showed me how adding a clock to a map turns a chart into an story.<\/p>\n Reading these chapters left me with a couple\u00a0 questions..\u00a0 \u00a0 If\u00a0 premade map tiles are great for speed, how do developers keep maps fast when the data is changing every few seconds?\u00a0 How big does a company or project need to get before running private servers makes more \u00a0sense financially than just paying for cloud storage?<\/span><\/p>\n Another one of my\u00a0 own project ideas is that id like to build an interactive map tracking local campus routes or pedestrian foot traffic routes at Ohio Wesleyan. By putting\u00a0 a fast, cached background map of campus pathways with time stamped GPS or sensor data from throughout the week and students could use a time slider to see exactly when and where campus gets busiest?<\/p>\n","protected":false},"excerpt":{"rendered":" Week 4 Readings from Getting to Know Web GIS (Chapters 5 and 6) Mmaking web maps run faster behind the scenes and bringing live, changing information onto the screen. Chapter 5 Explained two interesting ideas First map caching and hosting maps on private servers. Caching is basically like taking snapshots of a map at different zoom levels ahead of time. Instead of making a computer redraw every single road, river, and border from scratch every time someone scrolls or zooms, the map just loads premade image tiles. This makes web maps feel smooth and instant. The chapter also compared using public cloud tools like ARC Online GIS with running your own private, on-premises system. Cloud tools are nice, places like hospitals or government agencies like to keep everything on their own local servers for security. Working through the tutorial went oakay.\u00a0 Button names in the software looked\u00a0 different from the textbook screenshots\u00a0 I spend most of my time trying to figure out where the correct butttons are…. Chapter 6 Turned from static maps to live, time based data. Instead of looking at a single\u00a0 moment, spatiotemporal GIS lets us track how things move and change for instance like watching weather patterns roll across a state or tracking buses in real time. Setting up time sliders in the lab really showed me how adding a clock to a map turns a chart into an story. Reading these chapters left me with a couple\u00a0 questions..\u00a0 \u00a0 If\u00a0 premade map tiles are great for speed, how do developers keep maps fast when the data is changing every few seconds?\u00a0 How big does a company or project need to get before running private servers makes more \u00a0sense financially than just paying for cloud storage? Another one of my\u00a0 own project ideas is that id like to build an interactive map tracking local campus routes or pedestrian foot traffic routes at Ohio Wesleyan. By putting\u00a0 a fast, cached background map of campus pathways with time stamped GPS or sensor data from throughout the week and students could use a time slider to see exactly when and where campus gets busiest?<\/p>\n","protected":false},"author":2414,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3655","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts\/3655","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\/2414"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/comments?post=3655"}],"version-history":[{"count":1,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts\/3655\/revisions"}],"predecessor-version":[{"id":3656,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts\/3655\/revisions\/3656"}],"wp:attachment":[{"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/media?parent=3655"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/categories?post=3655"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/tags?post=3655"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}