lonboard
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A Python library for fast, interactive geospatial vector data visualization in Jupyter.
## Context Lonboard is gaining traction. As people continue to adopt, there may be more activity, feature requests and discovery of bugs (or user errors). ## Issue We should define...
## Context I would like to visualize non geographic data (e.g., spatial multi-omic biological data) using lonboard. I belive that we would have the add the option for the [OrthographicView](https://deck.gl/docs/api-reference/core/orthographic-view)...
It would be amazing to unlock interactive filtering of lonboard maps based on visualizations such as histograms of certain columns in a geoparquet dataframe. Would this be possible?? Might be...
Ref https://github.com/posit-dev/py-shinywidgets/issues/133 At that point we should probably also make an issue on shiny's docs to see if they want to link back to us, because they're already linking to...
## Context Geoparquet is a relatively new but powerful OGC standard for distributing and visualizing vector data at scale. We can advocate a strong case for why and how all...
From the [geopandas.plot docstring](https://geopandas.org/en/stable/docs/reference/api/geopandas.GeoDataFrame.plot.html#geopandas.GeoDataFrame.plot) > Name of a choropleth classification scheme (requires mapclassify). A mapclassify.MapClassifier object will be used under the hood. Supported are all schemes provided by mapclassify (e.g....
## Context Keeping our dependencies and development environment trimmed to what is necessary can keep our project tidy and help load times and execution times. ## Issue Let's remove unnecessary...
e.g. some examples should be illustrative and just use a very small data download. other examples should show off performance, and thus require large datasets (and maybe a large filter...
How difficult would adding h3 cell support be given that deck.gl already supports it? Would it be possible to quickly list the steps that are required to add another feature...
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A Python library for fast, interactive geospatial vector data visualization in Jupyter.