Goals and Background:
For Lab 1, the student is "working" as an intern at Clear Vision Eau Claire in order to help construct a new development for the confluence of the Chippewa and Eau Claire Rivers in the downtown of Eau Claire called the Confluence Project. The project plans involve creating a new community arts center/ university student housing as well as a commercial retail complex in downtown Eau Claire that began in 2014. This new Art Center will include three performance spaces along with offices, studios, classrooms, galleries, and more. The first task is to prepare a basic report containing all relevant knowledge and base maps for the Project. The Goal of this project is to become familiar with different spatial data sets used in administration, land use, and public land management in order to prepare for the Confluence Project.
Methods:
This lab teaches various skills in order to reach the end goal. The first objective required the user to get used to the two Eau Claire geodatabases which were used for all the basemaps. One was for Eau Claire county, and the other for the city of Eau Claire. After that I explored the geodatabases's data in ArcCatolog. These geodatabases contained feature datasets, parcel feature classes, and common feature classes. These various features helps you settle in, and prepare for the base maps prior to their creation.
The next objective requested me to create a geodatabase, titled EC_Confluence, as well as make numerous feature classes. The most important feature class created was Proposed Site, and the directions tell the intern to name it "pro_site". This specific feature class is in every single one of the maps that are created because it was the area in which the intern would propose their idea for Clear Vision. The directions tell you to add the Block Groups from the CENSUS_FEATURES feature dataset in to the Eau Claire Geodatabase which enabled it to have the Eau Claire County Coordinate System from the existing geodatabases. The next step was create a blank map in ArcMap and add World Imagery as my base map. Then you put the pro_site and parcel feature classes into the data frame. Moving on, the intern identified the two parcels of 128 Graham Avenue and 202 Eau Claire Street in order to digitize them.
The third objective teaches the worker about the Public Land Survey System. After reading some background information you are asked to create a new data frame. Then add PLSS_Township to the Eau Claire geodatabase as well as PLSS_townships from the city geodatabase. The intern must also add the PLSS_Sections from both databases. Lastly PLSS_Quater_Quarter_sections from the counties geodatabase and PLSS_qq from the city geodatabase are added to the new data frame. After observing the attribute data one is able to form a description of the two parcels. This was found in the City of Eau Claire's Property and Assessment Search Website: http://www.bisnet.net.cityofeauclaire/search.cfm.
Finally, you start generating the maps shown in figure 2. The intern must make a document with landscape layout. Then create the six data frames labeled Civil Divisions, Census Boundaries, PLSS, City of Eau Claire, Zoning, and lastly Voting districts. They need appeal to the eye, and include all the requested elements: title, legend, scale bar, map creator, and source.
Results:
The next objective requested me to create a geodatabase, titled EC_Confluence, as well as make numerous feature classes. The most important feature class created was Proposed Site, and the directions tell the intern to name it "pro_site". This specific feature class is in every single one of the maps that are created because it was the area in which the intern would propose their idea for Clear Vision. The directions tell you to add the Block Groups from the CENSUS_FEATURES feature dataset in to the Eau Claire Geodatabase which enabled it to have the Eau Claire County Coordinate System from the existing geodatabases. The next step was create a blank map in ArcMap and add World Imagery as my base map. Then you put the pro_site and parcel feature classes into the data frame. Moving on, the intern identified the two parcels of 128 Graham Avenue and 202 Eau Claire Street in order to digitize them.
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| Figure 1 shows the locations that I identified the Parcels in order to Digitize them. |
Finally, you start generating the maps shown in figure 2. The intern must make a document with landscape layout. Then create the six data frames labeled Civil Divisions, Census Boundaries, PLSS, City of Eau Claire, Zoning, and lastly Voting districts. They need appeal to the eye, and include all the requested elements: title, legend, scale bar, map creator, and source.
Results:
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| Figure 2: Shows base data for the proposed site of the Confluence Project, Wisconsin created in 2014 |
All of these proposed sites for each data frame are located in the same districts/sections. It is easy to tell they are all located in the city of Eau Claire with a single census boundary and voting district. There are no roads dividing them, and there is a good population density in the area. Most importantly they are located on public property, so no residents or commercial industries will be able to acquire land there.
Sources:
City of Eau Claire. (2013). Retrieved from http://ci.eau-claire.wi.us/
Eau Claire County. (2013). Retrieved from http://www.co.eau-claire.wi.us/
Eau Claire County. (2013). Retrieved from http://www.co.eau-claire.wi.us/
