Goal
and Background
The
construction of a new complex called the Confluence Project is being planned by
UW-Eau Claire, the Eau Claire Regional Arts Center, and Haymarket developers
that will include a community arts center, housing for university students, and
shopping space. My goal for Lab 1 was to learn about spatial data sets that are
used for public land management, administration, and land use for the city and
county of Eau Claire. In addition, I wanted to gain the ability to create a map
to represent the Confluence Project.
Methods
For
this project I created a map of the Confluence Project that includes a civil
divisions, census boundaries, PLSS, city of Eau Claire parcel, zoning, and voting
district data frames. For each data frame I first added the necessary feature
classes that I wanted to include in the frame as well as a basemap. For each
data frame when it was appropriate I changed the transparency of the layers so
that the basemap was visible. I added a scale bar to each map and when
applicable I included a legend. I first made the civil divisions data frame by
adding the county boundary of Eau Claire. The next data frame I created was for
the census boundaries. In the census boundaries data frame I included the block
groups and tracts feature classes. In the census boundaries data frame I chose
to display the population per square mile. Next, I created a data frame with
PLSS data for the city of Eau Claire by adding the PLSS data from the city and
county of Eau Claire’s geodatabases. Next, I made a data frame for the city of
Eau Claire’s parcel data by including parcel area, centerlines, and water
features. Then I created a data frame for zoning information by adding the
zoning areas feature class and labeled the features according to the zoning
code. Lastly, I made a data frame for voting districts and labeled the features
according to the ward number.
Results
(See Figure 1)
The
civil divisions data frame indicates that the proposed site for the Confluence
Project is located in the city. Based on the frame the surrounding area of the
city of Eau Claire consists of towns and villages. The census boundaries data
frame shows that the Confluence Project is situated in an area of the city
where the population is between 4000 and 5000 people per square mile. The
census boundaries data frame indicates that as you move farther away from the
city the population decreases. The city of Eau Claire Parcel data frame
indicates the location of the proposed site in relation to other parcels in Eau
Claire. The zoning data frame shows that the Confluence Project is situated
near the public properties district and central business district. A pattern
that is relevant in the zoning data frame is that in the residential areas
there tends not to be land designated for the central business district and
industrial. Another pattern is that much of the land designated as the public
properties district is located next to water and the Chippewa and Eau Claire
rivers. The voting districts data frame indicates that the Confluence Project
is located in voting district 31.
Figure 1
City of Eau Claire's Property and Assessment Search Website= http://www.bis-net.net/cityofeauclaire/search.cfm
