My co-author Robin Lovelace has recently made available a new version of his R package stplanr, which helps processing and visualizing Origin-Destination transport data in R. It integrates the useful dist_google function to get network distances and time using the Google Maps API, which we used in our accessibility to schools in São Paulo paper. Highly recommended!
A working paper co-authored with Miquel Àngel García López entitled “Income Segregation and Urban Spatial Structure: Evidence from Brazil” is now available as part of the CAF Working Paper Series. In this work, we estimate the effect of urban spatial structure on income segregation in using data for 121 Brazilian cities between 2000 and 2010. We show how the effect of local density varies between monocentric and polycentric cities, and between income groups.
This paper is part of a line of research trying to link the distribution of employment within cities with the distribution of the population by income groups, in order to understand the possible causes of residential segregation by level of income in urban areas.
Great post about introducing students to the fundamental concept of reproducibility in science while teaching them R
A recently published paper by Baumer et al (2014) caught my eye today (HT to Bruce Caron). I wanted to share it here because I thought it was cool and also had a few comments to make about some of the issues the authors raised.
First, a bit about the paper. Partly in response to all the media attention to the crisis in reproducibility in science (e.g. Nature) Baumer and colleagues made some changes to introductory statistics classes at Duke, Smith, and Amherst. The primary change was to require the use of R Markdown for all homework. RStudio was the editor they used and it appears any cutting and pasting of code, figures, etc. was not allowed. They conducted a survey of the students early in the class and after the class. The end result was that students preferred using R Markdown over the typical mode of cut and…
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Erik Marcon, Stephane Traissac, Florence Puech and Gabriel Lang have developed the R package dbmss that provides a toolbox to characterize point patterns. The package greatly simplifies the task of obtaining distance-based agglomeration and coagglomeration indexes, such as the Duranton and Overman’s Kd function and the Marcon and Puech’s M functions.