James A. Bednar
James A. Bednar
According to @philippjfr , the GeoViews Tiles element can support the sort of WMS maps shown by Folium in https://nbviewer.jupyter.org/gist/micpilon/41fe6834c2116c715486e059d7d449a5 using a specially constructed URL: ``` url1 = "https://elevation.nationalmap.gov/arcgis/services/3DEPElevation/ImageServer/WMSServer?&service=WMS&request=GetMap&layers=3DEPElevation%3AHillshade%20Gray&styles=&format=image%2Fpng&transparent=false&version=1.3.0&width=256&height=256&crs=EPSG%3A3857&bbox={XMIN},{YMIN},{XMAX},{YMAX}" url2...
The Large Data user guide is rendered fine on the website (http://holoviews.org/user_guide/Large_Data.html), but I can't reproduce it locally with holoviews=1.14.4, datashader=0.12.2a1, pandas=1.2.4, spatialpandas=0.4.0, numpy=1.20.2 due to a SpatialPandasInterface error ("Did...
- [ ] The gallery pages don't always declare what is being shown or linked to correctly (https://github.com/pyviz/nbsite/issues/48) - [ ] Gallery pages don't cross-link between Bokeh and Matplotlib versions,...
Datashader 0.8 added various [geospatial analysis primitives](https://datashader.org/user_guide/Geography.html) like NDVI, bump mapping, viewshed calculation, and zonal statistics. How should we access those from within GeoViews? We can use `.apply()` to replay...
GeoViews currently wraps around lots of things from Cartopy and the tile servers from Bokeh and Matplotlib, plus presumably some other things. There are a lot of other relevant geo-specific...
It would be convenient to be able to access various geo-specific data types and services directly as GeoViews objects: - [ ] [GPS](https://en.wikipedia.org/wiki/GPS_Exchange_Format) - [ ] [KML](https://en.wikipedia.org/wiki/Keyhole_Markup_Language) - [ ]...
It would be nice to have some interface for rendering data (same type of data already visible as a choropleth?) as [cartograms](https://en.wikipedia.org/wiki/Cartogram): 
The new .interactive API is really fun to work with, but I'm bumping up against either its limits or my own imagination. E.g. if I start with this example that...
As far as I can tell, the Pandas .plot() API does not have a way to [change the background color](https://stackoverflow.com/questions/23123272/change-pandas-plot-background-color) without dropping down to matplotlib. hvPlot appears to inherit this...
Right now, if someone attempts to plot something with a very large number of datapoints, the browser tab appears to lock up. It's not necessarily obvious to the user what...