Geocoding from Attributes

 An important aspect of geocoding is the input of correct and useful attributes of which data can be querying and thus derived from. The goal of the study below was to determine if collegiate women's volleyball success was correlated to recruitment distance of rostered players. Below is an example of data input into an excel spreadsheet. The data represented for this exercise is the 2022 roster of Purdue Women's Volleyball team.

Notice the fields used to differentiate between different data (players), this will help define attributes and assist in geocoding within the ArcGIS platform. Uniformity within each field is also important to maintain because one differing unit or value set i.e. feet instead of inches, may throw off the accuracy and invalidate data.

Now that all data has been correctly inputted into the spreadsheet, it can be transferred to ArcGIS to visually measure and analyze distribution and other models for data representation.


The above map shows all volleyball Regional Semifinal teams of 2022 player's high school location relative to others within the roster. When one or more players are relatively close to each other (same city or region), a hotspot appears to help visualize distribution.



Buffers are also a helpful tool to gather a visualization of proximity to a central point. In the top map, a buffer center is created at the stadiums of the top ranked women's volleyball teams of 2022 with additional points representing each player of said top teams. Additionally, the second map represents a five-ring buffer with increments of 10, 50, 100, 250, and 500km surrounding Purdue's volleyball stadium with points highlighted within the rings representing rostered Purdue players.


The Origin Destination tool within ArcGIS Pro is another helpful way to visualize distances from data points to a centralized destination. The map above depicts each Purdue volleyball rostered athlete's hometown/high school distance from the Purdue university stadium, allowing the viewer to gage different distances amongst individual data points. 


Above is a map of the Origin Destination tool being applied to the entire rostered dataset of the top women's volleyball teams of 2022 nationally with distances to their respective university stadium.

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