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Getting start with American Factfinder
This lab provides some tips for using American Factfinder to complete a neighborhood analysis over time in Philadelphia. First, you will need to identify the location of your neighborhood and identify the appropriate Census Tracts in 2000 and 2010. Note … Continue reading
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Planning Methods: Population trend model
Now that you have uploaded and examined the UN data on central African cities, we are going to do some ordinary least squares regressions (OLS) to predict Libreville’s population. For a review of OLS, please refer to class readings: An … Continue reading
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Examining Philadelphia land use data by Census Tract
The focus of this lab is to examine and learn about a dataset that matches tax assessor and Census data by tract in Philadelphia. The tax assessor data were recently made freely available online. This dataset will be used to … Continue reading
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Planning Methods: Predicting changes in jobs by Zip Code
For this lab, upload the Zip Code data from the previous lab. This should include the following files wih the following dimensions. You can also download the data here. dim(zbp02) ## [1] 2207 24 dim(zbp12) ## [1] 2125 22 The … Continue reading
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Planning Methods: Predicting Census Tract change
In this lab, you will use Philadelphia's 2000 Census Tract data to make predictions about the 2010 and 2020 population, and to understand what types of Census Tracts have been growing or shrinking. Download the data here (password is PennDesign). … Continue reading
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Planning Methods: working with Zip Business Patterns data
In this lab, you will download data on job by industry from the Zip Business Patterns data. You can find the data on the US Census website. Be sure to download the data as a CSV file. For now, download … Continue reading
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Planning Methods: Loading and examining data
This page describes how to upload and look at data in the R package. First, we will downlaod a CSV of UN population estimates on central African cities to import into R: Central Africa West. The first thing to do … Continue reading
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