pysal / splot

Lightweight plotting for geospatial analysis in PySAL

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Idea Collection: Functionality to support in splot

slumnitz opened this issue · comments

Space to collect ideas which functionality to support for each sub package in splot

esda

  • Choropleth functionality for each algorithm in esda.mapclassify.
  • Spatial Autocorrelation:
    • Global Moran scatter plot (Moran_Scatterplot())
    • Global Moran Bivariate scatter plot (Moran_BV_Scatterplot())
    • Global Moran Bivariate scatter plot facetting matrix (Moran_BV_facet())
    • Global Moran Rate scatter plot (Moran_Rate_Scatterplot())
    • Local Moran map (Moran_Local_Map())
    • Local Moran Bivariate map (Moran_Local_BV_Map())
    • Local Moran Rate map (Moran_Local_Rate_Map())
    • Local Getis-Ord map (G_Local_Map())

giddy

  • dynamic LISA
    • dynamic LISA heatmap (dynamic_lisa_heatmap(rose))
    • dynamic LISA rose diagrams (dynamic_lisa_rose(rose))
    • dynamic LISA vectors (dynamic_lisa_vectors(rose))
    • dynamic LISA composite plot (dynamic_lisa_composite(rose, gdf))
    • dynamic LISA interactive composite plot (dynamic_lisa_composite_explore(rose, gdf))
  • LIMA

spreg

splot.vba

core splot

  • BV and TriV choropleths
  • BV LISA matrix
  • Triangles for BiVAriate choropleths
  • conditional map
  • facets (prototype example)

I am playing with different visualisations for all esda.moran objects at the moment. The moran_loc_scatterplot() so far displays standardised attribute values and corresponding spatial lag values (Moran_loc.z). I was wondering if it would make sense to also give an option ((standardized=False,...)) for non-standardised values in the scatterplot, displaying the actual attribute values and their spatial lag. I am not sure if this would be of use?

I would like to try and implement this scatterplot blueprint (+ additional visualizations) for all esda.moran objects (Moran_Local, Moran, Moran_BV,...) in the next two weeks. If I implement standardised values for all scatterplots, does Moran_BV also have an .z argument or something similar?

What do you think @sjsrey @TaylorOshan @darribas @ljwolf

Scatterplot with real-attribute values
image

scatterplot with (z-) standardised values:
image