make dwc_make_map function?

[MathewBiddle]

This looks like a great package of nice tools! As I'm working more and more with DwC data, either during reformatting or extracting using pyobis, I find myself rewriting this little bit of code in all my notebooks to make a simple map of observations. It got me thinking, is this something that would be appropriate to be added to this package?

Something like py-dwc-viz.dwc_make_map(DataFrame), where DataFrame contains decimalLongitude and decimalLatitude, at a minimum.

import matplotlib.pyplot as plt
import geopandas as gpd

  # read into geopandas dataframe for plotting
gdf = gpd.GeoDataFrame(
    df, 
    geometry=gpd.points_from_xy(df.decimalLongitude, df.decimalLatitude),
    crs = "epsg:4326",
    )


fig, ax = plt.subplots(figsize=(20,10))

gdf.plot(ax=ax, markersize=5, zorder=10, legend=True)

world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))

world = world.to_crs(gdf.crs)

world.plot(ax=ax, color='lightgrey', edgecolor='white', zorder=1)

ax.set_axis_off()

plt.show()

[ayushanand18]

Something like py-dwc-viz.dwc_make_map(DataFrame), where DataFrame contains decimalLongitude and decimalLatitude, at a minimum.

This is a great suggestion and thank you so much for it! I am not sure where to put it into this package. Currently we have three modules, stats to view statistics of records distribution, taxon plotting distribution of taxa against many parameters, and diversity to account for diversity indices. I believe a function to taxon module like make_map() would be good?

[7yl4r]

I suggest we structure visualizations of DwC data using a structure inspired by https://www.python-graph-gallery.com/.

This code plots all points as markers, right? So perhaps this function could live in map.bubble?

Also worth noting that python-graph-gallery is missing a few map subtypes. For instance:

• map.raster
• map.points (arguable if this is a subtype of map.bubble)
• map.heatmap