landusemix: A Python package for calculating land use mix

Abstract

Integrating different land uses within a geographic area is essential to urban planning and development. Accurate and fast land use mix (LUM) measurement is necessary for evaluating urban diversity and sustainability. In this paper, we present landusemix, a Python package developed to calculate LUM using two distinct indices: the Entropy Index and the Herfindahl–Hirschman Index (HHI). The landusemix package provides tools for GIS researchers and urban planners to measure the diversity and concentration of land use. Detailed descriptions of the methodologies employed and examples of practical usage are provided. Researchers can use this package to calculate LUM quickly and in bulk, and its results can be easily incorporated into further analysis.

Keywords

• Land use mix
• Entropy index
• Herfindahl–Hirschman index
• Geographical information systems
• Urban planning