week 6 (final) Whitfield

 

          For my first map, it contains data tracking the population and migration patterns in groups of Monarch butterflies. It was created in ArcGIS online with the data containing coordinates and mass quantities of the species splayed throughout the map. When i first through of this idea, I wanted the ma to show movement in groups instead of in individual butterflies because that data is very hard to get, and I would have had to personally input it- it also might have appeared confusing with the multitude of lines that would have been on the page, depending on the number of butterflies that I would have collected data on. Unfortunately, I was unable to add movement lines to my map, so I had to track movement through heat transfer over a period of time instead. I set the map to run for a year long period of time, all throughout 2024, and you are able to see the transfer of butterflies throughout the period of time.  I got my data from the Global Biodiversity Information facility. 

https://arcg.is/1zvfq92

 

          For my second Map, I compared production and sale rates between milk and cattle within the United States. I used Experience builder to create 2 maps side by side that compared rates, with a color gradient used to distinguish between the different amounts and calculations. I used data from ArcGIS atlas for this map. I had slight issues figuring out how to input the maps into the actual site so that I could configure them, even reading the text book didn’t help me so I kind of had to guess and do trial and error for some parts, not much different from anything else I’ve worked on throughout these classes. 

 

https://experience.arcgis.com/experience/c495037eea6b492da291237ecebfd89a 

 

 

Frary Week 6: Final

First web app: Visualizing Migratory Bird Routes

This app is a web map that contains the data and paths of 5 bird species: the herring gull, snowy owl, bald eagle, Sabine’s gull, and turkey vulture. It includes pop-ups when each route is clicked on to give a photo of the bird along with tracking data from the original collection source.

Link: Migratory Bird Data of 5 Species

Second web app: Creating a Garden

This web app depicts a garden design including a flower bed, a 4-way divided vegetable garden, a fountain, and a wooden arbor. At first it was just going to be a web scene, but in order to add sketch layers I had to change it to a web app.

Link: Garden Blueprint

Evans Week 6

Application 1:

Here I have an app that shows the location of many Black Madonnas, famous depictions of the Virgin Mary as a Black woman, mostly in Asia. There are thousands of Black Madonnas, so I have included only a few here. I made the data into a CSV file, made it into a point layer, and made an instant app where the names and pictures are displayed. There is also a form so that people can quickly add new points to the map. 

Form here:

Application 2:

Here is a 3D population density map of Brazil.

Obenauf Week 6 Final

For the first part of my final, I followed the tutorial from chapter one that taught us how to: publish a hosted feature layer from a CSV file and add attachments, add a field to your layer and edit the attributes, create a web map, and create an instant web app using a template. I created a guide to free food locations on the South Side of Columbus, where I am from. There are a significant amount of low-income families and unhoused individuals in my neighborhood. Introducing access to a guide like this will be incredibly helpful for these communities to gain awareness and access to the resources they need. 

https://owugis.maps.arcgis.com/apps/instant/attachmentviewer/index.html?appid=62e87ad6a35248cc995e81d115059f98

 

For the second part, using the tutorial from chapter seven, I created a thematic web scene that allows users to understand which states have the lowest and highest population densities and how much population density varies among US states.

https://arcg.is/1G8z5q0 

 

Deem Week 6

My first app is a map of the U.S. which displays forest cover percentage by state. It is a 3D extrusion map, and each state is elevated based on forest coverage. https://owugis.maps.arcgis.com/home/webscene/viewer.html?webscene=e3fd8f2b7db14c5384b62e80ccff4afb

The second map I made was made in experience builder and shows campsite availability at Delaware State Park.  This map is more of a proof of concept, as I could not find exact coordinate data for each site and decided to do only 25 of the 214 to not make the map too cumbersome. It contains real-time editable data based on site availability that could be changed by park workers, and includes a list of sites and their availability as well as a filter function based on availability. https://experience.arcgis.com/builder/?id=85b5145b3d8a468a882d661ff3eef2ac

 

Roberts week 6 (final)

For the first application I finally finished a geographical profile of the Jack the Ripper murders of 1888. This was a very hard project for me to do as many of the addresses listed as the crime scenes are on streets that have different names in the present day at best and no longer exist at worst. I did my best to find any geographical information on the crime scenes but given the fact I am working with a large scale map, any errors would likely be relatively minor, (getting building numbers wrong, ETC.) something that was very helpful in creating this was the pop ups which helped me label the crime scenes, write details on the victims, and attach photos/drawings of the crime scenes.

https://owugis.maps.arcgis.com/apps/mapviewer/index.html?webmap=82b656f6de5a44adafeca2ca3932199d

My second application was a more fun one, it was tracking the path of the Zeppelin L-59 on its famous journey from Bulgaria to German East Africa in 1917. (Though the flight was unsuccessful due to an abort message being sent.) Here I had a lot more freedom to indulge in the many features of ArcGIS online, such as physically drawing L-59’s flight path, adding data points where L-59 was built, where her hanger was, and her approximate destination. Working this really put into perspective just how far the Zeppelin had traveled and I had so much fun with this I might even get my own personal ArcGIS account to track other long distance airship flights.

https://owugis.maps.arcgis.com/apps/mapviewer/index.html?webmap=ea6c9d0aad494e12b60c1893f57a1a58

Isaacs Week 6 (Final)

My first application I found data using the atlas on live stream gauges in rivers and streams all across the United States. I opened this map and found there was a lot of data useful and able to change from things I learned specifically chapter 2. I messed around with changing the color of different water levels making red high or flooded level and blue low or regular level. I could also change the size of the bubble to how high the water level is.  I also added an attribute of USA Short-Term Weather Warnings to show where water levels may rise because of a storm. This map can be useful to fisherman any where around these rivers and streams. For example if a fisherman wants to see the water level of Alum Creek at the present time and compare it to the level of the Olentangy River they can click on the river location and see the exact height at that given time. 

 

https://owugis.maps.arcgis.com/apps/mapviewer/index.htmlwebmap=ce1547fd4cd0426398301663978dc896

The second application is making a map that charts the location of a fish catch and other information like weight, size, location, and any other description about the fish you want. This could be useful for tracking a fishing tournament when you are trying to track where the biggest fish were caught. It can be used by a tournament director for tracking lots of fishermen’s weights over a period of time. It could also be used by an individual fisherman who just wants to find out where he catches most of his fish. Using chapter 6 I used gauges on a dashboard to display the sum weights of different areas where a fish was caught. There is also the original map of the locations of the fish catches on the dashboard. This is just an example I made up using hypothetical fish catches in the pond in front of Meek Aquatic Center. 

https://owugis.maps.arcgis.com/apps/dashboards/5ca290f675a64cacab1f327622bfe4dd#mode=edit

Mason Week 6 (final)

My first App was based around the content covered in chapter 3, which had the option to utilize both 3D and 2D maps within the same application in order to visualize the information in multiple different ways. I created a section widget and added two separate maps within it, with one being 2D and the other being 3D. The topic I chose to base my maps on was the distribution of lanternflies, an invasive species of planthopper, throughout the eastern side of the U.S. To create some differentiation between the 3D and 2D map, I added 3D terrain to display the dispersal among different levels of elevation. 

https://experience.arcgis.com/experience/48b3ae5f797f46d1a84316a1e34e651e

I had made the second app pulling from concepts covered in the tutorial of chapter 6, which covered the bases of real time data tracking on ArcGIS. The data I decided to cover was centered around deer road kill reports in Washington, which are tracked by salvage permit holders. I thought it would be interesting to see if the rate of reports changed in the presence of a predator, so I also added a dataset displaying the different recorded wolf packs around the state. In reference to chapter 6’s content, I made sure that both the wolf and deer road kill datasets had tracking timelines that continue into the present, which means that they are updated regularly. In order to flesh out the map a bit more, I added highway markers and popular scenic roads. I thought it would also be cool to add cameras as well, showing different highways in a zone with higher rates of deer kills. 

https://owugis.maps.arcgis.com/apps/instant/atlas/index.html?appid=0b4175d9e182488f83fc9255e1c87ae9&webmap=3dde4572a5ca44e3890bfe1826b89f9c