vec_read_time_slice

Performs a linear scan of the index for tiles with <code>time == time</code> and
decodes the matching window. The lookup is O(n_tiles) per call — Phase
6's optimized hash-map lookup is a follow-up.

A minimal columnar query engine with lazy execution on datasets
larger than RAM. Provides 'dplyr'-like verbs (filter(), select(), mutate(),
group_by(), summarise(), joins, window functions) and common aggregations
(n(), sum(), mean(), min(), max(), sd(), first(), last()) backed by a
pure C11 pull-based execution engine and a custom on-disk format ('.vtr').
Reads and writes 'GeoTIFF' (including tiled and 'BigTIFF' layouts) and a
tiled raster format ('.vec') with overview pyramids and time cubes for
larger-than-RAM raster data.

Gilles Colling

vectra

Columnar Query Engine for Larger-than-RAM Data

vec_read_time_slice function

<dl><dt>r</dt>
<dd>A <code>vectra_raster</code> from <code>vec_open_raster()</code>.</dd>
<dt>time</dt>
<dd>Time value to match (numeric/integer).</dd>
<dt>band</dt>
<dd>Band index (1-based).</dd>
<dt>level</dt>
<dd>Overview level. Default 0.</dd>
<dt>cols, rows</dt>
<dd>1-based ranges, same as <code>vec_read_window</code>.</dd></dl>

Arguments

Read a single time slice from a .vec time cube — vec_read_time_slice

<dl>

<dt>r</dt>
<dd>A <code>vectra_raster</code> from <code>vec_open_raster()</code>.</dd>


<dt>time</dt>
<dd>Time value to match (numeric/integer).</dd>


<dt>band</dt>
<dd>Band index (1-based).</dd>


<dt>level</dt>
<dd>Overview level. Default 0.</dd>


<dt>cols, rows</dt>
<dd>1-based ranges, same as <code>vec_read_window</code>.</dd>

</dl>

vec_read_time_slice: Read a single time slice from a .vec time cube

Description

Usage

Value

Arguments