LAB 1: Base Data
Goal
and Background:
The Clear Vision Eau Claire has become responsible to
construct and develop a vision for the Eau Claire Confluence project. The goal
of the project is to construct a fine arts center at the confluence of the
Chippewa and Eau Claire River in Downtown Eau Claire. The fine arts space will
include Performance spaces, galleries, offices, classrooms, studios and more.
The goal for The Clear Vision Eau Claire organization has is to use different
spatial data sets in regards to public land management, administration, and
land use in order to prepare the overall vision for the Confluence Project.
This vision is further expressed through several objectives. The first objective is to understand different data sets for the city and county of Eau Claire. The second is to digitize the site for the proposed Confluence Project. The third objective is to understand and represent Public Land Surveying System in regards to the Confluence Project. The fourth objective is to create legal descriptions of the the two parcels. The final objective is to build the an actual layout with each of the major thematic feature classes.
|
Digitized Verision of Parcel 1
(128 Graham Street, 02-0365) |
|
Digitized Version of Parcel 2
(202 Eau Claire Street, 02-0357) |
Methods:
The
First step was to create a civil Divisions Map. This map is primarily used as a
locator map in order to get a perspective on where the confluence project site
is located within the city of Eau Claire. In order to create this map a
world imagery was added to the data frame along with the Eau Claire county
boundary, civil divisions, and the the projected project site. County Boundary
is shown in transparent light gray, and the civil divisions are represented
with a transparent rose color. This is necessary in order to see the base map
and the project site.
The
second step was to create a map showing census boundary data. To create this
map the world base imagery was inserted into the data frame as well as the
block groups and tract groups. A Census
Block Group is a
geographical unit used by the United States. A block
group is a subdivision of a tract group and is the smallest
geographical unit that the Census Bureau publishes. The tract groups are
represented by hollow colored polygons with an orange outline. The Block groups
are symbolized by a unique variables showing age groups from 18 - 20. In Blue
shows a greater number of people this age living within a group, green being
the median number, and tan the lowest. These colors are semi transparent in
order to once again locate the project site of confluence project.
The
third step was construct a map showing the Public Land Surveying Systems
(PLSS). This is a surveying method used historically throughout the United
States which identifies land parcels before designation of eventual
ownership. PLSS is comprised of townships, sections, quarter sections and
quarter-quarter sections. In this map the world imagery base map and the
project site is inserted into the data frame once again. Within the range of
the map you can also see the quarter quarter divisions that were inserted and
symbolized with hollow polygons with a bright green outline.
The
fourth step was to then create a map showing the parcel data for the city of
Eau Claire. The Parcel area, centerlines, and the river were inserted into the
data frame over the top of a world imagery base map and the project site. The
parcel areas which show survey data representing plot lines and parcel corners
are represented in a hollow polygon with
a bright yellow outline. The centerlines are slightly different in color
indicated by and orange outline.
The
Fifth step was to generate a map showing the zoning areas around the project
site. To create this map the zoning areas were inserted on top of the same
world imagery base map along with the project site and the centerlines used in
the previous step. The zoning area data represents the type of activities a
specific division of land is primarily used
for. In order to represent this information I used a unique values map to
classify specific zoning areas together based on their zoning code. I
symbolized each division with a different transparent color in order to see the
project site. I then translated the zoning code and its assigned color
which is shown in the legend so you could properly determine how each division
is represented.
The
sixth and final step was to create a map showing the voting districts around
the project site. This map shows the division of the districts and the appropriate number
label. I once again used the world imagery base map and the project site. I
then inserted the voting districts into the data frame and symbolized them in a
transparent green color, and labeled them by the ward number.
Sources: City
of Eau Claire and Eau Claire County 2013
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