Background: The
main focus of this lab was to develop a basic report containing pertinent
information regarding the Confluence Project, which is a project integrating
the University of Wisconsin Eau Claire and the Eau Claire region. This would
allow for a new community arts center/ student housing and commercial retail to
be located in downtown Eau Claire.
Goal: For this
lab, the focus was to integrate the Confluence Project into understanding the
spatial data sets.
Methods: First I
began the lab by taking note of the project and its goals before beginning the
project in order to fully understand the purpose of my project (Impressions,
2014).
Objective One- Explore various data sets for the City and County of Eau
Claire.
This included becoming familiar with parcels and their
purpose within a city. To complete this I added the baselayer and then the
‘parcel_area’ feature class from the City of Eau Claire Database. I then
applied past knowledge to locate where the parcels were by using the ‘identify’
tool. Next was the process of determining the zoning classes of Water Street. I
located the street by adding ‘PRIVATE_STREET’, then using the ‘identify’ tool
to determine the variety of zones used. Additionally, I added centerlines and
edges were added to the map from the catalog to determine their position on the
map.
Objective Two- Digitize the site for the proposed Confluence Project.
The next step was to digitize the site for the proposed
Confluence Project. I did this by creating a new geodatabase, which I titled
‘EC_Confluence’. I then proceeded to add the ‘BlockGroups’ from the
2009-07-13_EauClaire geodatabase into the ‘EC_Confluence’ database. I then
located the pro_site feature class and added it to the map. To begin digitizing
I opened the ‘editor toolbar’, enabled the proposed site and then the Polygon
too and began digitizing the area. This allowed me to highlight the parcels
that UWEC has purchased for their project.
Objective Three- Learn about
the Public Land Survey System
I first added a new data frame, created a basemap, and added
the PLSS_Township feature dataset from both of the Eau Claire geodatabases. I
then added the numbers of the various sections to the map by going under
‘properties’, then ‘labels’ and enabled the section number label. Additionally
I colored the sections using a stretched color scheme to see the variations
among the sections better. In order to identify the specific PLSS section that
the Confluence Project was in I added the ‘PLSS Quarter_Quarter_sections’ datasets.
Fro, there I was able to define the section using the legal terminology by
using the legal descriptions website (Hemstead, 2014).
Objective Four:
Create a brief legal description of the proposed site.
To find the legal description of the parcels
of the proposed site I used the ‘identify’ tool to find the Parcel ID. I then
looked up the specific information regarding each parcel using the City
of Eau Claire’s Property and Assessment Search Website (Bis-net.net, 2014). This
allowed me to write a full legal report on the parcels.
Objective Five: Build a map of all relevant base data for the Confluence
Project.
For this portion of the assignment, I created six different maps displaying various relevant data in relation to the Confluence Project, the first being the Civil Divisions map. This was created by adding the civil divisions project data. In this one, as well as all of the other maps under Objective Five, I added a legend, title, scale bar, and highlighted the location of the Confluence Project on the map. Because of the small scale of the map, I labeled the ‘Confluence Project’ using a callout text via the drawing toolbar.
The next map was the
Census Boundaries where I added the BlockGroups and TractsGroup data. To
signify the boundaries’ size, I added the ‘Population per Sq. Mi’ as ‘unique
values’ under the ‘Symbology’ tab so that the viewer could see how the
population varied from one area to the next. I indicted that there should be
two significant digits on the legend regarding the population, which cleaned up
the look on the scale.
The EC City Parcel
Data was basically the PLSS map from above. However, I added the parcel_area,
Centerlines, and Water feature classes.
The map for Zoning
was next. I added the zoning_cla and centerlines data and created a unique
values color scheme in order to differentiate the various zone types. In
addition, I simplified the label categories so the reader could understand them.
Results: I found
making these maps very helpful in determining the basic information regarding
the Confluence Project. If I was not familiar with Eau Claire, these maps would
give a great picture of the location of the Confluence Project as well as the
rough size of the population, density of people near the project and throughout
town, layout of the city, zoning, and the variety of parcel sizes within Eau
Claire.
Sources
Bis-net.net.
(2014). Eau claire, wi - online property assessment database - search.
[online] Retrieved from: http://www.bis-net.net/cityofeauclaire/search.cfm
[Accessed: 18 Feb 2014].
Hemstead, B.
(2014). Plss - legal descriptions | plss. [online] Retrieved from: http://www.sco.wisc.edu/plss/legal-descriptions.html
[Accessed: 18 Feb 2014].
Impressions, F.
(2014). Eau claire confluence project | community involvment collaboration.
[online] Retrieved from: http://www.eauclairearts.com/confluence/
[Accessed: 18 Feb 2014].
Legal Description
and Permitted Encumbrances. (2014). [e-book] pp. B-1, B-2. Available through:
Christina Hupy, Geog 335, UWEC [Accessed: 18 Feb 2014].
Lippelt, I.
(2002). Understanding wisconsin township, range, and section land
descriptions. [e-book] Madison, WI: pp. 1-4. Available through: Wisconsin
Geological and Natural History Survey [Accessed: 18 Feb 2014].
ZONING DISTRICTS
AND MAPS. (2011). [e-book] Eau Claire: p. 510. Available through: Christina
Hupy, Geog 335, UWEC [Accessed: 18 Feb 2014].