Wednesday, September 25, 2013

GIS I - Lab 1: Base Data

In this blog these will be referred to as:
 Top left to top right: Fig. A, Fig B, Fig C
Bottom left to bottom right: Fig. D, Fig. E, Fig. F 
Goal
Background: The goal of this project was to assess the features surrounding the future site of the University of Wisconsin-Eau Claire Confluence Project, or the Haymarket Site, a public-private collaboration focused on enhancing the cultural center of the city and university. The projected site is owned by the group Haymarket Concepts LLC, a group partnership between "Commonweal Development Corp., Market & Johnson Inc. and Blugold Real Estate LLC, a subsidiary of the UW-Eau Claire Foundation." 
Purpose: The purpose of this assignment was gain a better understanding of the use of base data (Civil divisions, zoning, PLSS, etc.) and make use of it to highlight key data points.  

Methods:
Figure A: In order to create the Civil Divisions Map, data was acquired from the Eau Claire County Geodatabase and the Basemaps in the ESRI Basemap Bank. This data was in the form of a polygon feature class that encompassed the entirety of the county and an satellite image of the world, zoomed into Eau Claire. Another geodatabase was created to house another feature class labeled pro_site (alias Proposed Site). This class was given an extra field labeled Parcel No in order to record the specific city data for the parcel numbers of the proposed site. This feature class, pro_site, was used in each Data Frame created, hereafter. Once the feature classes were created or added the colors were changed so that the Proposed Site stood out, the Civil Divisions were given distinct colors and made transparent, and a callout box was assigned to the location of the site in order to highlight where it was on a large scale view of the area. Finally, a legend was created to show the various data features and a scale was added to show distance in miles. Both the legend and scale were put onto a solid colored background so they were easier to view.

Figure B: In order to create the Census Boundaries map, data was acquired from the Eau Claire County Geodatabase and Basemaps in the ESRI Basemap Bank. ArcCatalog was used in order to acquire metadata to learn what Tracts and Block Groups were. To show relevant data pertaining to the location, data was added to show the population of people from the 18-21 year old age group normalized in comparison to square mileage. This shows how dense the population of people of the 18-21 year old age is per square mile, zoomed into the city of Eau Claire. The data was assigned a graduated color scheme where low density was designated by blue and high density was designated by red. Following this, transparency was applied to visual data in order to show the aerial image underneath to reference location. Finally, a legend was created to show the various data features and a scale was added to show distance in miles. Both the legend and scale were put onto a solid colored background so they were easier to view.

Figure C: In order to create the Public Land Survey System (PLSS) Features Map, data was acquired from the Eau Claire County Geodatabase, the City of Eau Claire Geodatabase, and the Basemaps in the ESRI Basemap Bank. This was a relatively simple map to create. After adding the county and city PLSS data, the color of the PLSS Quarter-Quarter section was altered in order to show the smallest visible increment provided and describe the location of Parcel 1 and Parcel 2. Finally, a legend was created to show the various data features and a scale was added to show distance in miles. Both the legend and scale were put onto a solid colored background so they were easier to view.

Figure D: In order to create the Eau Claire City Parcel Data Map, data was acquired from the City of Eau Claire Geodatabase and the Basemaps in the ESRI Basemap Bank. This was another simple map to create, as little data interpretation was required. However, proper aesthetic compositional skills were required. Properly coloring this map so all data sets were apparent was the only concern in this map. After setting all the colors to a noticeable color selection this map was complete. Finally, a legend was created to show the various data features and a scale was added to show distance in miles. Both the legend and scale were put onto a solid colored background so they were easier to view.

Figure E: In order to create the Eau Claire City Zoning Classes Map, data was acquired from the City of Eau Claire Geodatabase and the Basemaps in the ESRI Basemap Bank. This map required the use of ArcCatalog, as the use of metadata was required to properly assign values to the specific zones of the city of Eau Claire. After applying the Zoning Class feature class, each individual class was grouped together in the Symbology Tab of the feature properties menu. The grouped zones were given an alias (Commercial, Transportation, Residential, etc.) and then were assigned unique and different colors in order to easily discern one from another. Road lines were also used in this map and were assigned a color and line weight in the Symbol menu. Finally, a legend was created to show the various data features and a scale was added to show distance in miles. Both the legend and scale were put onto a solid colored background so they were easier to view.

Figure F: In order to create the Eau Claire Voting Districts Map, data was acquired from the City of Eau Claire Geodatabase and the Basemaps in the ESRI Basemap Bank. This was an easy map to create, as it required very few feature classes and labelling experience. After utilizing the city Voting Wards feature class, labels were turned on and a halo was placed around the Ward Numbers in order to make them stand out from the blue background. A scale was added to this map and a color background was put in place so it was easier to view. A callout box was assigned to the location of the site in order to highlight where it was on a large scale view of the area.

Results
Patterns: The only patterns noticed in this lab were found in Fig. 2 and Fig. 4. In Fig. 2 it can be seen that the main density of 18-21 year olds is located within the University owned grounds and those surrounding it (the Third Ward, Upper Campus, Water Street). It should also be noted that this trend extends to the area surrounding the proposed building site of the Confluence Project. The other pattern is noticed in Fig. 4, where different zones are apparent. The main zone in this map is residential, covering most of the map. The other prominent zones are Central Business, located mainly in the Downtown area, and Public Properties, located where there are parks or state natural areas.

Sources:
City of Eau Claire
Eau Claire County 2013
City of Eau Claire. (2013, 09 23). http://www.bis-net.net/cityofeauclaire/search.cfm. Retrieved from http://www.bis-net.net/cityofeauclaire/search.cfm 
Eau Claire Regional Arts Center. (n.d.). Confluence. Retrieved from http://www.eauclairearts.com/confluence/   
University of Wisconsin-Eau Claire. (n.d.). News @ uw-eau claire. Retrieved from http://www.uwec.edu/News/more/confluenceprojectFAQs.htm