Lab 2 - Basics in Joining

Lab Introduction:

The Goal of this lab was primarily to demonstrate skills in Joining. We began by acquiring new zipped data from the US census bureau. By downloading a shape file, I was able to join the county shape data with each county’s population. Once we joined the data together we created a new field which calculates the total population, and divided that by the state population, to display percentages. After the first objective was completed we returned to the Census to find a variable of our own. I choose to display the median age, of the population of each county, for Wisconsin. Once both maps were created the next objective was to create a web map. The most difficult detail of this objective was the errors which we had to solve and delete. After solving the errors and running an analyze on the data a web map could made.

Methods:

The Methods which we used in this lab was join and relates. We were able to retrieve our own data, unzip it for use, join the data together, and display a map from the excel data table which previously would have been of no use in ArcMap. To reach my goal I used the lab instructions as well as previous knowledge of joins and data management which was taught in the ARC mag book.

 Results:

The results are shown on the maps below. I found that the 2 variable which I had used are inversely related. As the population percentage of a county increases, the median age decreases. This shows an older population in the less populated north of the state, as well as a younger populous in the larger cities. We can also look to areas with a large population from Universities; Dane, Eau Claire, and Milwaukee are the most obvious of these.

 Sources:

The source of my data came from the US Census Bureau at the URL below. http://factfinder2.census.gov/faces/nav/jsf/pages/searchresults.xhtml?refresh=t this site shows a litany of data which when joined to spatial data can be represent as a map.

Introduction 

This lab covers the skills learned so far in GIS I. The lab was meant for the purposes of demonstrating skills in displaying data, analyzing how data should be represented, and making decisions on how to display the data. The instructors objectives were as follows.

    1. Explore various data sets for the City and County of Eau Claire and answer some basic                   questions about the base data. 

    2.  Digitize the site for the proposed Confluence Project.

    3. Learn about the Public Land Survey System. 

    4. Become familiar with the WebGIS for the county and legal descriptions for parcels.

    5.  Build a layout with each of the major thematic feature classes. 

    6. Write a technical report and post it to your blog. 

Methods

In this lab we focused on key terms for creating maps for city and counties. Working with, zoning features, parcels, land use, land cover, political features, US census features, and hydrologic features; the objective of the lab was to create a Cadastral survey of the proposed site for a UW- Eau Claire expansion hereafter referred to as the confluence project.

Results

The goal of this lab was to create a series of maps for what would be used for the planning of the confluence project. The confluence projects goal was, to construct a new development at the confluence of the Chippewa and Eau Claire Rivers. The data which we used came from the City of Eau Claire geodatabase, and a 2009 Eau Claire database.  The maps displayed below show, civil divisions, voting districts, parcel data, PLSS features, district zoning, and Census Boundaries. In the real world this data would be used by city planners to determine the validity of the proposed project.