{"id":3084,"date":"2026-04-10T22:23:13","date_gmt":"2026-04-11T03:23:13","guid":{"rendered":"https:\/\/sites.owu.edu\/geog-292\/?p=3084"},"modified":"2026-04-10T22:26:35","modified_gmt":"2026-04-11T03:26:35","slug":"frary-week-4","status":"publish","type":"post","link":"https:\/\/sites.owu.edu\/geog-292\/2026\/04\/10\/frary-week-4\/","title":{"rendered":"Frary Week 4"},"content":{"rendered":"

Chapter 5<\/strong><\/p>\n

In this chapter, I learned how Web GIS can be built not only on the public cloud using ArcGIS Online, but also through “on-premises” systems with ArcGIS Enterprise. On-premises means the system is locally hosted. This is especially useful when security or specific functionality is needed. I explored the similarities and differences between ArcGIS Online and ArcGIS Enterprise and found that they share more in common than they differ. I also learned about three main types of web layers (vector tile, raster tile, and map image) and when each type is most appropriate to use compared to feature layers. The tutorial in this chapter teaches how to connect ArcGIS Pro to portals as well as publishing the different web layers previously talked about. This chapter is useful even if I don’t plan on using on-premises Web GIS because most of this applies to online GIS as well!<\/p>\n

Chapter 6<\/strong><\/p>\n

Chapter 6 is all about a very interesting concept: real-time GIS! This software is used to deal with and gather data from objects and events that move and change through time. Data can be generated via mobile phones, sensor networks, smart cities, and the IoT. The IoT was a concept I had never heard of before. It stands for the Internet of Things, and is a large sensor network that collects and exchanges data from any physical object that has sensors and network connectivity. Also in this chapter were different types of spatial temporal data. Dynamic data follows something that moves, like an airplane. Discrete data is happening events, like a car incident or an earthquake. Stationary data is collected from something that stands still but has fluctuating values, like wind speed at weather stations or street traffic speed. Change data is the final type discussed in the chapter, and tracks change or growth- like urban sprawl or or land cover changes. I really enjoyed reading about the variety of spatial temporal data that can be collected.<\/p>\n

Future Application<\/strong><\/p>\n

Using spatial temporal data from a geodata base, you could make a raster tile layer or a map image layer to display the change in wooded growth outside a conservation area, or really anywhere to track the movements of deforestation. This would be helpful to monitor how widespread deforestation becomes, and how the surrounding landscape changes shape over time.<\/p>\n","protected":false},"excerpt":{"rendered":"

Chapter 5 In this chapter, I learned how Web GIS can be built not only on the public cloud using ArcGIS Online, but also through “on-premises” systems with ArcGIS Enterprise. On-premises means the system is locally hosted. This is especially useful when security or specific functionality is needed. I explored the similarities and differences between ArcGIS Online and ArcGIS Enterprise and found that they share more in common than they differ. I also learned about three main types of web layers (vector tile, raster tile, and map image) and when each type is most appropriate to use compared to feature layers. The tutorial in this chapter teaches how to connect ArcGIS Pro to portals as well as publishing the different web layers previously talked about. This chapter is useful even if I don’t plan on using on-premises Web GIS because most of this applies to online GIS as well! Chapter 6 Chapter 6 is all about a very interesting concept: real-time GIS! This software is used to deal with and gather data from objects and events that move and change through time. Data can be generated via mobile phones, sensor networks, smart cities, and the IoT. The IoT was a concept I had never heard of before. It stands for the Internet of Things, and is a large sensor network that collects and exchanges data from any physical object that has sensors and network connectivity. Also in this chapter were different types of spatial temporal data. Dynamic data follows something that moves, like an airplane. Discrete data is happening events, like a car incident or an earthquake. Stationary data is collected from something that stands still but has fluctuating values, like wind speed at weather stations or street traffic speed. Change data is the final type discussed in the chapter, and tracks change or growth- like urban sprawl or or land cover changes. I really enjoyed reading about the variety of spatial temporal data that can be collected. Future Application Using spatial temporal data from a geodata base, you could make a raster tile layer or a map image layer to display the change in wooded growth outside a conservation area, or really anywhere to track the movements of deforestation. This would be helpful to monitor how widespread deforestation becomes, and how the surrounding landscape changes shape over time.<\/p>\n","protected":false},"author":2396,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3084","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts\/3084","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\/2396"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/comments?post=3084"}],"version-history":[{"count":4,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts\/3084\/revisions"}],"predecessor-version":[{"id":3147,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/posts\/3084\/revisions\/3147"}],"wp:attachment":[{"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/media?parent=3084"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/categories?post=3084"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-292\/wp-json\/wp\/v2\/tags?post=3084"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}