Month: April 2025

Chapter 7 mainly talks about 3D web maps, and how they can be used to create more immersive and interactive data visualizations. There are two main types of web scenes, photorealistic which is exactly what it sounds like, 3D maps that are very similar to the real world feel of an area. Conversely, there are cartographic 3D maps which are used to make a better visualization of more traditional map elements. In either case, textures, surfaces, and features of 3D web scenes can be used to help users have a better understanding of the area through more evident spatial relations and scale. I also learned about Lidar, which is a laser technology that is used for sensing and the creation of 3D maps, and how it can specifically be used to map elevations and man-made structures. Additionally, tools within Web GIS like Web AppBuilder give everyday users the ability to build web apps with widgets like Query and Filter without the requirement of coding knowledge, making data visualization and map creation much more accessible. Finally, chapter 7 discussed the growing role of more immersive technologies such as virtual reality (VR), augmented reality (AR), and extended reality (XR), as well as indoor GIS and the concept of the metaverse, this highlights how GIS is growing into more engaging, game-like digital environments. One application of a web scene environmentally could be to create a forest canopy web scene for Delaware County. Using Lidar elevation data and time-enabled layer, this type of app could help to visualize forests and green spaces in our community and their shift due to urbanization. This resource would be useful for awareness of our impact and to help with further planning.

Chapter 6 discusses spatiotemporal data, which is information that is attached to a specific time and location, and it really highlights the real-world applications for this type of data using web GIS. I thought it was cool that this data can be helpful in such a wide range of fields like emergency response, environmental monitoring, and business operations. Another big part in this chapter is the Internet of Things (IoT), an extensive network of devices that includes things like traffic cameras and air quality monitors that are continuously transmitting data. It reinforces how this continuous live data is fed into real-time GIS systems, which can be used to track patterns and movement over time. Tools like ArcGIS Dashboards and time-enabled layers help visualize and animate this data, making it easier to monitor and understand dynamic systems. I found it eye-opening how easily this technology integrates into everyday life, from smart homes to tracking vehicles. It is both very interesting to me, and just a bit unsettling. This technology clearly has the potential for a lot of good and helpful uses, but could also be used for unfortunately bad purposes. One application for this type of technology and data mapping that would be interesting to me is sometype of wildlife tracking dashboard of Delaware County. This could be accomplished using real-time data from gps collars, trail cameras, and sensors. It could show animals movements over time and display weather patterns and human activity. It would be a very useful tool for determining how animals move based on other changing conditions.

Application One

For my first, application, I created a mobile tool to trach communicable disease cases in Delaware. However, this tracker allows people to go to the case location and upload any photos or other observations that be important for the outbreak. I had no issues creating the tool and adding a map, however it would not let me publish it for an “unknown error” but I was able to get some screenshots in the preview mode, which are below!

 

Application Two

Application two actually uses the data from the survey to create a live communicable disease dashboard! Because I could not publish the survey, sadly there was no fake data that I could add to the dashboard to create cases. However, a screenshot is below. The map is designed to have a pinpoint for each case, as well as a pie chart for overall cases and then a gauge for TB causes so that TB is highlighted due to recent TB outbreaks in the US. https://owugis.maps.arcgis.com/apps/dashboards/d4b18541a860435a9edf8d1bdca81bf9#mode=edit

Data Inventroy

Address Point: represents all certified addresses in Delaware County. These addresses are updated daily and the updates are published once a month. 

Annexation: annexations and boundaries since 1853, annexation just means territory here. 

Building outline: this set is of building outlines and structures for all structures in Delaware county. It was last updated in 2023. 

Condo: All condo polygons within Delaware county. 

Dedicated ROW: lines that are designed Right-of-Way. This data is updated daily and published monthly. Consists of all dedicated road right of way polygons in the county. 

Delaware County contours: 2018 two foot contours, topography of the county?

Delaware County E911 Data: Uses address point data to reverse geocode coordinates to determine the closest emergency services location. Updated daily and published monthly. 

Farm lot: identifies farm lots in both US Military and Virginia Military Survey Districts. 

GPS: all GPS monuments that were established in 1991 and 1997. 

Hydrology: All major waterways in Delaware County. 

MSAG: master stress address guide. Used political jurisdictions in the townships, cities, and villages within the county.  

Map sheet: all map sheets within Delaware county. 

Municipality: all municipalities within Delaware county. 

Original township: has all boundaries of the townships within the county before tax districts change their shapes. 

PLSS: public land survey system polygons are used for the US Military and the Virginia Military Districts for Delaware county. 

Parcel: represents all cadastral parcel lines within Delaware County. These geometries are maintained by the Delaware County Auditor’s office. 

Precinct: consists of the voting precincts for Delaware county under the data of the Board of Elections

Recorded document: recorded documents in Delaware County Recorder’s Plat Books, Cabinet/Slides and Instruments Records that would not be represented by the subdivision plats that are active. This is used to track down miscellaneous documents within the county. 

School district: school district boundaries within Delaware County. 

Street centerline: center of pavement in public and private roads within Delaware County. This was developed by address information. 

Subdivision: subdivision and condo records for Delaware County. 

Survey: shapefiles of point coverage that are representative of surveys of land within the county. 

Tax district: tax districts defined by the Delaware County Auditor’s Real Estate office. 

Township: data of 19 townships that make up Delaware County. 

Zipcode: all zipcodes within Delaware country defined by the 2000 census, the postal service, and the tax mailing addresses.

 

 

Chapter 7 introduced 3D web maps, or web scenes, and showed how they make interpreting and analyzing data more intuitive and engaging. I liked learning about different scene elements like surfaces, textures, and atmospheric effects, and I thought the texture features made maps much easier to understand. The chapter also introduced Lidar, which uses laser-based point clouds to measure elevation and other features. I explored how to use Web AppBuilder to create interactive web apps with themes and widgets without coding, and I found it helpful to see how different tools like Query and Filter widgets can make apps more dynamic. I also found it fascinating how 3D technologies like VR, AR, and indoor GIS are being used to create detailed, immersive maps.

An app idea would be to use 3D maps to show in my home time Louisville, Kentucky and maybe show some patterns with Derby participants since the Derby is coming up. People up here at school most likely have never been and it would be fun to show people how huge it actually is at home.

Chapter 6 introduced spatiotemporal data, which connects information to both time and location, and showed how it’s used in real life GIS. I found it interesting how real-time data can support emergency response, environmental monitoring, and business operations. The chapter explained different types of spatiotemporal data, the role of IoT devices, and tools like ArcGIS Dashboards and time-enabled layers. It was really helpful to see how live data can be visualized and animated to track changes over time.

In Chapter 3, I learned about the ArcGIS Experience Builder, which lets you create custom web experiences with flexible layouts and interactive widgets. It’s really useful when a standard web app doesn’t meet your needs. The tutorials were helpful, but it took some time to get used to working in a web-based environment after using local software all semester. I liked how the Experience Builder can make GIS more accessible even for people with little experience.

Chapter 4 focuses on how mobile devices are becoming the main platform for Web GIS. I thought it was really interesting that GIS can even work on wearable devices like Apple Watches. I also liked how the chapter introduced different Esri mobile apps and explained them clearly. The idea of rapid data collection and the shift toward mobile GIS made me realize how important it is to access data quickly and easily, especially in the field.

One application would be a wildlife tracking app where users can log wildlife sightings (species, location, time, photo) directly from their mobile devices. Using Web GIS, the data could be mapped in real-time to help conservationists monitor animal populations, migration patterns, or even invasive species. The Experience Builder could make it easy for users to view maps, contribute data without needing coding experience, and even get alerts if they are near sensitive habitats. This would help connect everyday people to environmental research while building a large, useful dataset for scientists.

Chapter 6

This chapter focused on explaining how to create a dashboard web app and looked at spatiotemporal data and real-time GIS.  I vaguely knew of what these terms mean but I still always think it is so crazy how easy it is now to get real-time data.  I always find it interesting to see how GIS can be found in real life settings and events.  In the first half of this chapter it goes over how to create a dashboard that shows 911 calls along with incident reports.  I found the way this information was laid about to be very engaging but I did find it a little overwhelming as I was having issues with sizing the map.  The rest of this chapter was easy to follow and showed how to create a time-enabled feature layer along with how to animate time-series data.

For this chapter I think for this I would want to make an application that involves creating a dashboard to look at specific crime incidents in Delaware.

Chapter 3

This chapter looked into ArcGIS Experience Builder and how it is a highly configurable app.  The first section of this tutorial (3.1) took a look at how to use Experience Builder to create a web app that can display historical earthquakes and hurricanes in 2D and 3D maps.  I found these instructions to be vey straightforward and it was interesting to see the comparison.  I really liked how specific each function was and found this to be a useful tool and my only main issue was with finding where specific things that the instructions were leading you to as I think the layout of the overall app has changed and I think some of the stuff required you to select something for it to show up.  It wasn’t hard to figure it out it was just annoying that these instructions weren’t as straightforward considering that everything else has been easy to follow.

Chapter 4  

This chapter looked into Mobile GIS and I found it interesting how it was saying that the Survey123 can be used to recognize specific things such as leaves or street signs.  The first part of this chapter focused on explaining how to create a survey which was super easy to follow and reminded me a lot of Google Forms.  The app was a little bit unnecessary to download as you could just get the link from the QR code provided to test the survey.  Survey123 seemed like a good way to collect to data and I liked the way the data was laid out.  I had some issues with the app as it kept crashing but that might just be my phone.  I thought it was interesting overall to see just how much we are moving towards data collection on smart devices rather then the traditional data collection through computers which is interesting because it just means that collecting data is going to become more accessible and easier to do and maybe possibly even more accurate.

Based on these ideas I think this could be used in Delaware to report specific incidents by using Survey123 which could be linked to a map so that people are aware of where incidents occur.

Chapter 1

The first chapter went over the basic concepts of Web GIS and looks at some of the tools available.  I found these instructions to be very clear and found that it showed a good idea of the basics of what Web GIS has to offer.  The pictures shown in these tutorials were very easy to follow and were super helpful by being a guide to make sure that I am in the correct place for the steps.

Chapter 2

This chapter looked more into different types of layers along with the concept of story telling in Web GIS.  This chapter was easy to follow as a lot of it were things I had previously seen throughout the first half of this class (GEOG 291).  I felt as though creating the layers was very similar on Web GIS as it was on the Desktop version (ARCGIS) which was nice as I was familiar with the content.  When it came to tutorial 2-3 I was having some issues with getting it to work as but overall everything else was pretty easy to follow.

An application based on ideas from Chapters 1 & 2 could be looking at the use of mapping to see the specific attributes of the population that is impacted by Delaware being a food desert.

Chapter 7 Notes and Reflection

Focuses on 3D web scenes and how they allow spatial data to be displayed in more immersive and interactive ways. The chapter explains the difference between photorealistic scenes, which use real textures and imagery to mimic the physical world, and cartographic scenes, which represent data using more traditional symbols and styling in a 3D format. The chapter also introduced key scene elements, including surfaces, features, textures, and atmospheric effects. These elements work together to give users a better sense of space, scale, and elevation. I also learned about Lidar, which uses laser-based sensors to collect high-resolution spatial data, shown as point clouds that can represent features like building outlines or terrain elevations. Other technologies introduced included virtual reality (VR), augmented reality (AR), and extended reality (XR), which are part of the growing shift toward immersive digital environments. The tutorials explained how to build 3D scenes, manage layers, and apply visual settings like lighting and time-of-day to enhance the scene’s appearance.

 

Application Ideas

Based on the concepts from this chapter, one possible use of 3D web scenes could be a zoning and land use map of Delaware County. Parcel data from the Delaware Data Inventory could be used to extrude buildings or land areas by zoning type. With 3D symbols and color-coding, users could quickly understand how land is being used and how it varies across the county. Another possible application would be to use building outlines and elevation data to explore how urban development in the area has changed over time. Combined with time-enabled layers, this could support planning or sustainability efforts by visualizing building growth and land use change in a clear, spatial format.