Spatial statistics

PySAL

PySAL is the Python Spatial Analysis Library for open source, cross-platform geospatial data science. I have been actively participating in its development and maintenance since 2014.

Urban income mobility as a multifaceted concept in the United States

The unequal income distribution within and across cities have been attracting substantive attention. To obtain a dynamic view of urban income inequality, indices and their subgroup decompositions are usually estimated for each cross section and a …

Space-Time Statistics for Economic Inequality Dynamics

A comprehensive understanding of regional income inequality dynamics is an important endeavor since it could have profound policy implications. While income inequality measures provide a “static” view, income mobility measures shed light on the …

Fishing for neighborhood trajectory patterns - a comparison of sequence analysis methods

There is a recent surge in research focused on urban transformations in the United States via empirical analysis of neighborhood trajectories. Driven by an interest in the social and economic restructuring of cities and associated consequences like …

Spatial Data Analysis with PySAL

A unique feature of this tutorial is the use of Python based software tools for spatial data analysis. Python is an object oriented scripting language that is gaining rapid adoption in the computational sciences. Since its initial release in July …