Background:
In the spring of 2012, the University of Wisconsin-Eau
Claire, Clear Vision Eau Claire, Haymarket LLC and local developers created a
project that would better the future of the local community and college
community. The project is called the “Confluence Project." It is located at
what is referred to as the “Haymarket Site” at the confluence of the Chippewa
and Eau Claire Rivers along Eau Claire Street and Graham Avenue. The project
plans to have a community arts center with performing and fine arts including
studios, costume shops, dressing rooms, galleries, classrooms, and offices for
the arts organization. Additionally, student housing and commercial retail are
part of the cultural endeavors in the downtown Eau Claire project. This would
bring up to 375 residents to the area allowing the music, theater and art
culture to expand. The objective for this lab was to construct a map of the
proposed site for the Confluence Project and the relevant base data using
ArcMap. The map created included: civil divisions, census boundaries, public
land survey system features, Eau Claire city parcel data, zoning, and voting
districts.
Methodology:
There are two
geodatabases that I would be using so to begin, I had to become familiar with
the data; I noted the different feature classes and their respective
geodatabases. One of the geodatabases was for the city of Eau Claire, while the
other was for the county of Eau Claire. After this, I became acquainted with
public land survey systems. I looked at how many townships are present in Eau
Claire and created a brief legal description of the two parcels in the proposed
site using the City of Eau Claire Web GIS. Upon completing the legal descriptions, I was able to start digitizing
the map for the proposed site of the Confluence Project.
First, I created my own geodatabase containing a
feature class of the proposed site with a world imagery basemap. Once I did
this, I was able to start constructing the map with the relevant base data. I
built a data frame of civil divisions as a locator map that included the county
boundary and changed the symbology so I could see the different divisions and
the aerial behind it. Civil divisions are important because it entails the
collection of boundaries on land ownership for the local and state government
management. Second, I created a new data frame of the census boundaries that
allowed me to see the blockgroups and tracts group’s boundaries. This is
important for the US Census Bureau for the ten-year population count. Next, I
included the public land survey systems feature map showing the quarter-quarter
sections survey around the proposed site.
After this, I generated a new data
frame including the parcel data for the city of Eau Claire. The parcel data shows survey information associated with
individual lots such as lot lines, and parcel corners. Next, I created a zoning
data frame that showed the different areas based on zoning class. This included
areas such as: residential, commercial, industrial, public property and
transportation. Lastly, I created a voting districts data frame, displaying the voting
district classes for the city.
Results:
The results from lab one (Figure 1) show the different features processed from the base data relevant to the Confluence Project.
Sources:
City of Eau Claire and Eau Claire County 2013
City of Eau Claire and Eau Claire County 2013
Mapping Services. (n.d.). Retrieved
October 2, 2015, from http://www.eauclairewi.gov/departments/public-works/engineering/mapping-services

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