Add support for OrthographicView

[cornhundred]

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 class in deck.gl.

Issue

I think that we just need to expose the view classes to lonboard to allow users to use the OrthograhicView.

Acceptance-Criteria

I'm not sure what these would be.

[kylebarron]

This is related to #322.

I think that View is always passed in to Deck directly, not the Layer class, right? In that case it should be relatively simple.

As a general statement, much of lonboard so far has geospatial assumptions baked in, but I think nothing should preclude using non-geospatial data

[cornhundred]

Thanks, that is my understanding too that it is passed into Deck directly.

Here's how I'm setting the view on an ObservableHQ notebook

const view = new deck.OrthographicView({id: 'ortho'})

deck.DeckGL({
    container,
    views:[view],
    initialViewState:INITIAL_VIEW_STATE,
    controller: true,
  });

I can have a look at lonboard to see if I can figure out how to make a pull request.

[kylebarron]

A PR would be great. In general, models are defined first in TS https://github.com/developmentseed/lonboard/blob/main/src/model/layer.ts (maybe create a new file for view.ts?), then create wrapper classes (subclassing from ipywidgets.Widget) that map to the deck.gl api:

lonboard/lonboard/_layer.py

Lines 288 to 357 in 4daca9b

	class BitmapLayer(BaseLayer):
	"""
	The `BitmapLayer` renders a bitmap (e.g. PNG, JPEG, or WebP) at specified
	boundaries.
	**Example:**
	```py
	from lonboard import Map, BitmapLayer
	layer = BitmapLayer(
	image='https://raw.githubusercontent.com/visgl/deck.gl-data/master/website/sf-districts.png',
	bounds=[-122.5190, 37.7045, -122.355, 37.829]
	)
	m = Map(layer)
	m
	```
	"""
	_layer_type = traitlets.Unicode("bitmap").tag(sync=True)
	image = traitlets.Unicode().tag(sync=True)
	"""The URL to an image to display.
	- Type: `str`
	"""
	bounds = traitlets.Union(
	[
	traitlets.List(traitlets.Float(), minlen=4, maxlen=4),
	traitlets.List(
	traitlets.List(traitlets.Float(), minlen=2, maxlen=2),
	minlen=4,
	maxlen=4,
	),
	]
	).tag(sync=True)
	"""The bounds of the image.
	Supported formats:
	- Coordinates of the bounding box of the bitmap `[left, bottom, right, top]`
	- Coordinates of four corners of the bitmap, should follow the sequence of
	`[[left, bottom], [left, top], [right, top], [right, bottom]]`.
	"""
	desaturate = traitlets.Float(0, min=0, max=1).tag(sync=True)
	"""The desaturation of the bitmap. Between `[0, 1]`.
	- Type: `float`, optional
	- Default: `0`
	"""
	transparent_color = traitlets.List(
	traitlets.Float(), default_value=None, allow_none=True, minlen=3, maxlen=4
	)
	"""The color to use for transparent pixels, in `[r, g, b, a]`.
	- Type: `List[float]`, optional
	- Default: `[0, 0, 0, 0]`
	"""
	tint_color = traitlets.List(
	traitlets.Float(), default_value=None, allow_none=True, minlen=3, maxlen=4
	)
	"""The color to tint the bitmap by, in `[r, g, b]`.
	- Type: `List[float]`, optional
	- Default: `[255, 255, 255]`
	"""