Category Archives: Planning Methods

Examining Philadelphia Land Use Data by Census Tract

Posted on November 8, 2015 by Erick Guerra

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

Posted on August 21, 2015 by Erick Guerra

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

Posted on July 28, 2015 by Erick Guerra

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

Posted on July 28, 2015 by Erick Guerra

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: Population trend model

Posted on June 2, 2015 by Erick Guerra

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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Planning Methods: Loading and examining data

Posted on June 2, 2015 by Erick Guerra

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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