terra
for r geospatial analysts
Why this scored 8
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology
Signal history
7-day window (free)The evidence
The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.
- 115
Why can't `terra` project a raster when I change the extent's xmin?
terra R package fails to reproject raster when extent xmin changes, indicating projection bug. · for r geospatial analysts
stackoverflowSteadydata25d ago - 214
Use "terra::predict" with a "quantregForest" model and get the standard deviation of predictions
Shows how to compute prediction intervals using terra::predict with quantregForest in R. · for r developers, data scientists
stackoverflowSteadydevtools33d ago - 36
GPT-5.6 Sol, along with Terra and Luna, will launch publicly this Thursday
hackernewsSteady73d ago - 40
sol-advisor — Codex-native architect orchestration with Luna and Terra implementation lanes and mandatory fresh Sol review.
Simplifies Sol architecture · for Sol devs
githubSteadydevtools−19 saturated48d ago