gisprojects

Final Project Workflow Example

Open source or free data sets of location information are few and far between. Based on limited availability, I created my own data sets for two of the four map projections I used in my final project deliverable.

Step 1. Create list of random IP addresses.

I used the Random IP Address Generator to create a list of 10 random IP addresses.

Step 2. Identify IP addresses.

I used the IP Locator to identify the city, state, and countries the IP addresses came from. I also identified the lattitude and longitude.

Step 3. Create the data set.

I created a table with the IP addresses, location, lattitude, and longitute. The examples above do not show the exact data I used to create my map.

Here is the completed data set:

IP Address	Location	Latitude	Longitude
139.80.237.224	Dunedin, Otago, New Zealand	-45.8784	170.5201
154.27.233.254	Dowagiac, Michigan, United States	41.9943	-86.1159
53.16.13.69	Stuttgart, Baden-Württemberg, Germany	48.7863	9.2381
29.127.142.230	Whitehall, Ohio, United States	39.9747	-82.8947
62.237.150.253	Rauma, Satakunta, Finland	61.1309	21.5059
48.246.27.7	Newark, New Jersey, United States	40.7369	-74.172
97.168.74.232	New York, New York, United States	40.7128	-74.006
208.66.77.249	Woodbury, Connecticut, United States	41.5511	-73.2153
215.130.235.139	Whitehall, Ohio, United States	39.9747	-82.8947
110.65.254.8	Chongshan, Hainan, China	18.7771	109.52

Step 4. Use the data set in a visualization.

I used the above data set to simulate coarse location information collected by Zoom, which only collects and saves IP address location information.

This data was then visualized in a Dashboard using ArcGIS Insights.