Friday, March 11, 2016

Lab 1: Working with Base Data of the Confluence Project

Goals:
The goal of this first introductory lab was to familiarize ourselves with working with various data sets in Arc GIS and learn the basics of digitizing and manipulating these data sets. This was done by acting the part of a Clear Vision Eau Claire Intern, digitizing the lot sites for the Eau Claire Confluence Project, a new development between local developers, UW-Eau Claire and the Eau Claire Regional Arts Center. I was tasked to prepare base maps containing all relevant data surrounding the Eau Claire Confluence and organize these maps in a clear and concise manner.

Methods:
The first thing I did was create a blank geodatabase, renamed for the Eau Claire Confluence, and a new featured class labeled Proposed Site into this geodatabase. From there, I imported the Eau Claire County Coordinate System from a census feature, giving the new feature class the appropriate coordinate system. From there, I opened the up the proposed site feature class along with the base imagery and parcel area datasets. Using a provided aerial image of the Confluence Project and by using the parcel area lot lines as an outline, I digitized a polygon feature for the Proposed Site Feature Class. Using a PLSS Quarter-Quarter dataset from the city, I learned about the township and range system for determining the location of a plot specifically for the Confluence Project.  The legal outline used to assist in the digitizing and the location identification was taken from the City of Eau Claire,Wisconsin’s mapping website.
With the newly digitized proposed site area, I constructed six data frames to show the relation of the Confluence Project to various geographic features. A Civil Divisions data frame, showing the Confluence Project in relationship to the municipality type of the surrounding area. A Census Boundaries data frame, showing the relationship to the surrounding population density of Eau Claire. A PLSS Features data frame, showing the relative PLSS Quarter Quarter divisions. An Eau Claire Parcel data frame, showing the surrounding lot parcels. A Zoning data frame, showcasing the zoning class and distribution of the surrounding area. And one final data frame, Voting Districts, to show the surrounding voting districts. These data frames were all constructed to be cartographically pleasing, with scale markers in all data frames, and constructed into a singular map with legends for all the necessary data.

Results:
This lab project resulted in the creation of the map seen below. From creating this map, I learned of the process of digitizing data and creating as aesthetically pleasing and concise map to show relevant data related to a desired feature class. I also learned of the legal descriptions involved in creating such a parcel taken from a city parcel system.






 






Sources:

City of Eau Claire and Eau Claire County. Retrieved March 11, 2016, from

Hemsted, B. (2015, March 18). PLSS - Legal Descriptions . In Wsconsin State Cartographer's Office. Retrieved March 11, 2016, from http://www.sco.wisc.edu/plss/legal-descriptions.html

Hupy, C. (2013). Lab 1 Example [Online video]. Retrieved March 11, 2016, from
http://youtu.be/p5UZYebNqJU

Hupy, C. (2016). Lab 1: Base Data. Eau Claire, Wisconsin.

In Community for the Confluence. Retrieved March 11, 2016, from

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