In chapter 7 I learned how to create 3D layers. I created a 3D map of the United States showing population density in each state.

Module 2: 3/16/2026 - 4/28/2026, OWU Environment & Sustainability
In chapter 7 I learned how to create 3D layers. I created a 3D map of the United States showing population density in each state.

The first application that I made was a story map comparing the U.S. population census with forest loss. To do this, I created two web maps that I then inserted onto my story map. On this application, you can use a swipe block to compare the population density of the U.S. with forest loss across the U.S.. I also embedded a link to a website for further information on the topic.

The second application I made was a hosted feature layer that I configured for field data collection. This field collection was to pinpoint all of the benches located on the academic side of campus. I configured the specific marker that I wanted to be used for data collection and then I walked around campus marking the location of benches using the Field Maps app.

Walz – Week 5
Chapter 7:
Chapter 7 went over 3D webscenes in ArcGIS. A webscene is basically a 3D version of a web map, with there being different types of 3D scenes like global scenes (round earth) and local scenes (flat earth), and the chapter explaining how 3D is useful for more realistic views of data, like for modeling or visualizing buildings and landscapes.
One application idea is creating a 3D web scene that can let users explore a local park’s landscape design in 3D. I would have a basemap of the park, add point layers for things like trees or benches, create a few slides for important areas like ponds or a walking path. Then I would add polygons for grass areas and try to make it look decent.
Chapter 7 of Getting to Know Web GIS focuses on ArcGIS Survey123, a form-centric tool that connects real-world data collection with GIS mapping. It explains how surveys can be built to collect structured, location-based information from users in the field or online, making it easy to turn observations into interactive geographic data. The chapter highlights features like logic-based questions, image attachments, and GPS-enabled responses that can feed directly into web maps and dashboards. It also covers how Survey 123 integrates with ArcGIS Online and Enterprise, letting users analyze field-collected data in real time, visualize patterns, and share updates instantly. What stood out most is how this approach bridges the gap between data collection and visualization, empowering anyone-not just GIS professionals to contribute to a living, evolving map.
Application idea: Using my own data, I could create a Survey123 project that tracks park and trail conditions in my area. Each form entry could record details like litter levels, wildlife sightings, and trail accessibility, automatically mapping responses by GPS location. Over time, this would create a dynamic map showing trends in environmental quality and maintenance needs. This connects back to earlier chapters by combining cloud-based publishing, real-time mapping, and app development into one integrated workflow.
Chapter 5: The main part of this chapter is all about on premises and Hybrid GIS systems. I had absolutely no idea what it meant by hybrid GIS systems but this chapter explained it in a way that was very clear. It explains it as a multitude of of deployment models, combining desktop, web, and cloud GIS and taking the best parts of each to create what is known as the Hybrid GIS. Another thing this chapter explains is raster and vector tiles, with rastor tiles being a way of sending the maps to people in segments that all can be put back together after the transport. Vector tiles on the other hand are delivers files as many grouped vector files. and are usually put into a protocolbuffer Binary Format or PBF for short. I would be interested in learned what all goes into the 4 caching techniques mentioned in the chapter.
Chapter 6: This chapter is all about the explanation of spatiotemporal data and real-time GIS. Spatiotemporal data comes from many sources those source include but are not limited to manual data, to data collected from observational sensors and generated models. Additionally, real-time happens during the duration of a period, either a point in time, or duration of time. Spatiotemporal data can be categorized into four groups, which include moving, discrete, stationary, and change. Another thing that this chapter deals with is IoT, which is described as the network of physical objects or things embedded with sensors and network connections that collect data and exchange it as well. Things like taxis, bicycles, lights, refrigerators, sprinklers, biochips, security cameras and other random and miscellaneous technological devices. Currently IoT consists of billions of sensors today and the market has reached trillions of dollars.
Potential Application: A potential application for these chapters would be to compile an entire census for Gallia County. over the span of a couple years.
Chapter 7-
Possible application for Chapter 7- A possible application for the things I learned in this chapter is a thematic web scene that depicts land cover change and deforestation. I think that this application is extremely relevant, especially in today’s society, where we are constantly manipulating land and are now running out of space and resources for the growing human population.

Chapter 5 talks about the advantages of hybrid and on-premises Web GIS deployments as alternatives instead of using fully arranged ArcGIS online. On-premises deployments allow companies and organizations to keep control of their setup which is very useful when valuable data must stay secure or when reliable interest access is not a guarantee. Hybrid deployments take the flexibility of cloud services with the security of on-site setup which offers the best of both options. ArcGIS enterprise can be accessed on local servers or cloud platforms like AWS or Microsoft Azure and also includes portal, server, web adapters and the data store to manage the take care of GIS content.
A very important benefit of on-premises GIS is the ability to have special datasets like feature layers, complex geoprocessing services and imagery services. Departments within a company can talk together in groups and share content which helps improve efficient workflow while also keep the data secure. Catching tile layers is another critical aspect of improving performance that is discuessed in this chapter.
Chapter 6 talks about the use of spatiotemporal data in GIS which includes both time and location dimensions to track patterns and changes. Some examples are weather events, disease outbreaks, urban growth and traffic congestion. The internet of things plays a pretty important role in spatiotemporal GIS by providing networks of sensors and connected devices that are constantly collecting data. Collecting this data allows companies, organizations, reseachers and cities to track conditions as they happen and respond quickly to certain events.
The ArcGIS GeoEvent Server is a very important and crucial tool for getting and processing spatiotemporal data. It can analyze, filter and distribute live data to maps, feature layers and dashboards while also getting historical data for future analysis. ArcGIS online has dashboards and layers that enable people to visiualize trends over space and time, monitor complicated operations and animate temporal patterns. Having these tools are valuable for decision making in public health, emergency management, transportation planning and many other fields in the world.
An application idea I could make using concepts from chapter 5 and 6 is a city wide environmental monitoring dashboard.
Chapter 5:
On a practical note this chapter might be difficult with my commuting status… do we have to do this on the GIS lab computers or is there a cloud we can access? Addendum: No haha
The data analysis and deep learning mention makes me wonder if I could apply that to my project, making identifying invasive plants easier? I want to do something with that in this tutorial and I feel a little let down now.
Most of the pre-tutorial seems more important to OWU than us. Unless my practical concern is a concern. Also it’s all so much technical jargon that it’s hard to keep up.
I remember sharing maps from ArcGISPro in 291 so I understood the first parts of the tutorial pretty well. One thing I noticed was that the file sizes for the cached layers were a lot lower than the tutorial said, maybe it was another update or I skipped something, but I tried to go back and there weren’t any errors. It will be interesting to see how the same layers compare as different types. I guess using the web maps provided means I won’t find out if I made a mistake with the detail level sliders provided.
Making the story with the provided web maps and app was pretty easy. I struggle a little to format the stories and make them look nice still though. I’m pretty sure the map on the left in the app is the raster tile layer, because I don’t have to zoom as far in for the features to disappear. I can definitely see how vector layers are more useful for general cartography, while raster tile layers would be more for specific requests.

Chapter 6
The concept of smart cities and smart homes is a little frightening to me… but I see how important GIS is to those things and the IoT. Without those connections between everything GIS could not exist, and the connections themselves rely on GIS.
Geofences seem like the real time version of the buffers we did in ArcGISPro.
Is there a dashboard for making one mega franken-app
Some dating apps also use missions I think?
The tutorial starts by having us look at emergency dispatch maps that constantly refresh, then add live highway views. I think I see stuff like these for trail cams sometimes.
To put the map, gauge and list together I just kind of dragged them and didn’t need to resize the map. There is an extra list in my dashboard because I didn’t do all the steps on the first one and then couldn’t figure out how to delete it!
As I added more elements, things got kind of squished and the pie chart became tiny. Can a dashboard have multiple pages? Adjusting the map helped slightly to make things more proportional, though.
I couldn’t see the text color change but maybe none of the presumably fake people were having a heart attack? I tried messing with other colors in other parts of the code and making sure both highlighted parts were in there but to no avail. There were 3’s on the list so I did do something wrong -_- I couldn’t get any of the arcade parts to work so I’m skipping that because honestly!!! I’m doing this late and going kind of insane.
Here is my dash board, good luck knowing if someone’s having a heart attack.
I noticed the option to set the time zone was in map viewer, not when I uploaded the layer.
The time slider settings option was nonexistent ok.
Here is the app!
https://arcg.is/0u809H1
Chapter 7:
One application that could be created using a 3D scene would be a topographic map of Delaware county with the rail lines overlaid on top of it, in order to give a better understanding of the various track grades present throughout the county.
Chapter 5:
Chapter 6:
One possible application of real time maps would be for a shipping company to use it to monitor traffic patterns and accidents, so they could efficiently reroute their drivers to ensure packages arrive on time.