Roadmap: PySAL

PySAL releases new versions every 6 months. Early on in a release cycle the developers meet to prioritize work for the cycle. Below is a listing of the areas that have been identified as key areas of focus for the next cycle. They are categorized by difficulty (Hard, Medium, Easy) and priority (0-3) with 0 being most important. The particular PySAL module is listed together with the developers primarily responsible for these areas.

Release 1.8, July 31, 2014

• (H,0) Spatial Networks (network: Serge, Jay)
  • generation of WED from polyline shapefiles
  • core spatial analysis algorithms for networks
• (M,2) Inequality and diversity measures (inequality: Dani, Serge)
  • diversity indices from Dani’s Amsterdam research
• (M,1) visualization (contrib: Dani, Serge)
  • basemap free choropleth mapping
  • layers
• (M,1) clusterpy integration (serge)

Release 1.7, January 31, 2014

• (H,0) Maximum Likelihood Estimation (spreg: Luc, Serge)
  • Implement error and lag model ml estimators
  • Alternative optimization approaches
• (H,0) Spatial Networks (network: Serge, Jay)
  • generation of WED from polyline shapefiles
  • core spatial analysis algorithms for networks
• (M,2) Inequality and diversity measures (inequality: Dani, Serge)
  • diversity indices from Dani’s Amsterdam research
• (M,1) visualization (contrib: Dani, Serge)
  • basemap free choropleth mapping
  • layers

Release 1.6, July 31, 2013

• (H,0) Maximum Likelihood Estimation (spreg: Luc, Serge)
  • Implement error and lag model ml estimators
  • Alternative optimization approaches
• (H,0) Spatial Networks (network: Serge, Jay)
  • generation of WED from polyline shapefiles
  • core spatial analysis algorithms for networks
• (M,2) Inequality and diversity measures (inequality: Dani, Serge)
  • spatial gini decomposition from Rey and Smith 2013
  • diversity indices from Dani’s Amsterdam research
• (M,1) visualization (contrib: Dani, Serge)
  • basemap free choropleth mapping
  • layers