For my first app, I followed the format from Chapter 1 with the Redlands Attraction app. However, I created an app that had information about five different Dark Sky locations. Dark Sky International is a non-profit organization that aims to preserve the night sky, and they recognize areas all over the world as Dark Sky locations if they have protected land and skies. These places are all great for stargazing! First, I found the five locations I wanted to use on the Dark Sky International website (https://darksky.org/what-we-do/international-dark-sky-places/all-places/), then I created a CSV with the location name, a caption, and the coordinates that I could upload into ArcGIS Online. I also found pictures of each location and added them by enabling attachments on the layer. I saved this and created a feature layer that I used to create the web map. This part was pretty easy, it was mostly just opening the feature layer in the Map Viewer, then I could customize the basemap and style the points. Finally, once I made the web map, I opened it in the Instant App feature, which allows it to be viewed on different devices! Hopefully, this app is helpful for people who enjoy stargazing and want to discover some good destinations!
Here is the link to the app: https://owugis.maps.arcgis.com/apps/instant/attachmentviewer/index.html?appid=9fcd89442d8646c7ac7360aa8b230608
For my second app, I chose to show the change in ozone concentration in 10 US cities from 2000-2020. I modeled this app after Chapter 6. First, I had to find data on pollutants in the US, which was surprisingly difficult. I could find many sources ranking cities from most to least polluted, but none had actual data. Finally, I found data for ozone concentration on the EPA website. I found data for the years 2000 and 2020, so my app looks a little different than the tutorial we did in the book. Because I didnāt have data for the years in between, itās more of an abrupt time slider rather than showing gradual changes over 20 years. Once I found the data, I had to put it in Excel in a way it could be recognized in ArcGIS. Then, I exported it as CSV and created a feature layer on ArcGIS online, where I enabled the time setting. After this, I opened it in the map viewer and had to play around a bit with the style so I could best show the changes in ozone since some of the values were very close. I found that the āheat mapā style for the ozone concentration was the best for showing slight changes! Then, I added the time slider option and exported it into instant apps, which took forever to load! Eventually, I was able to add the map I created from the ozone feature layer to the instant app and add the legend and time slider! I wish I could have found more data from each of the years between 2000 and 2020 to show the change a little bit better, but I think this map gets the idea across pretty well! There may be a way to do this that I donāt know of, but I think if I could adjust the time slider (I played around with it and I couldnāt get it) to go from just 2000 to 2020, it might be a bit better, but for now, if you want to see the change, you just have to slide from 2019 to 2020! Again, while the map itself here isnāt super complex, I think for these kinds of maps, there is a lot more behind-the-scenes work with creating the CSV and finding the appropriate data. For the GIS 291 final, most of us used the Delaware County GIS data, so we didnāt have to create our own CSVs, but since ArcGIS online is a little more customizable, I imagine that most people will have to go searching for specific data and will have to format it correctly to upload as a feature layer like I did for both of my apps.
Here is the link: https://owugis.maps.arcgis.com/apps/instant/slider/index.html?appid=23e27784a1b04dc99b10a12bc9eac801