globe.getHeight is a ray cast against the drawn tile's mesh and
scene.sampleHeight a GPU depth render; several layers asked for them
uncached and unbudgeted. The cache written for Transit moves to
src/services/terrainSurface.js and is handed to every layer through the
ground service, so layers share one cache and one read budget.
- Rail reads each train on a ~4 m grid instead of every frame.
- Local data layers read terrain floors through it and stop depth samples
at 8 ms a frame.
- Bike Share draws stations at once and finds their heights afterwards in
4 ms steps.
Co-Authored-By: Claude Fable 5.2 <[email protected]>
On the photoreal stack the rendered-mesh floor took one probe at each coarse
cell's centre (0.001 degrees) and kept it for the session. A centre on a roof
passed the +80 m DEM window and lifted every vehicle in the cell to roof height
(a Haymarket bus drew 23.5 m above the street, on the garage roof); a centre in
the river put Red Line trains on the Longfellow Bridge 6-9 m under the deck.
The sampler now probes at the caller's point. A cell with a reading is probed
again only at spots about 17 m apart from earlier ones, eight at most, and a
spot refused only because the cell's DEM prior was cold is tried again later.
The floor keeps each reading that passes the gate at the point it was taken
(two within about 5 m keep the lower; sixteen at most per cell) and answers a
read from the reading nearest the asked point, so a viaduct and the street
beside it in one cell keep their own heights.
The flights ground-floor pipeline subtracted longitudes without wrapping.
approxDistanceKm, and its copy in the mesh-floor sampler, measured two
points 0.2° apart either side of 180° (21 km at Fiji) as about 38,000 km,
so low and grounded aircraft just across the line from the viewer were
never floored or mesh-sampled. corridorFloorCells walked a segment across
180° the long way round, filling its cell budget with ground behind the
contact and never requesting the cells it was about to cross, and
stickyFloorCell dropped its hysteresis for a contact on the seam. Each now
takes the short way round, and corridor points are normalised back into
[-180, 180].
SEARCH NEARBY SITES centred its Google Places search on the mean of west
and east, which for a view across 180° (west > east) is longitude 0, and
sized the radius from the view's height alone. It now measures the view's
width through 180° and searches its real centre.
Traffic roads come from OpenFreeMap vector tiles, or TomTom flow tiles with a
key (Hybrid by default). Military areas use OpenFreeMap polygons with a bundled
worldwide name index; wide views show named points. ALPR reads an hourly
OpenStreetMap extract. Cockpit place context and country, state and US county
outlines use bundled Natural Earth and US Census data. Overpass is used only
when an operator configures their own endpoint.
Also: camera arrivals no longer land below ground, keyless terrain retries on
429, bounded relation geometry for configured Overpass, one shared
OpenStreetMap credit, and separate tile and API transports for embedders.
Co-authored-by: theGaryLarson <[email protected]>
Co-authored-by: Milan Khanal <[email protected]>