Map the illuminance readings you took across a working plane as a grid, check the average against the AS/NZS 1680.2 target for the space, see the unevenness a single average hides, and read off the uniformity ratio for Assignment 1.
A lit space raises two questions: is there enough light on average, and is it spread evenly? They are different, and a space can pass one while failing the other.
For the amount, compare your average illuminance against the maintained-illuminance target AS/NZS 1680.2 recommends for the space type. For the evenness, use the uniformity ratio U0 = minimum ÷ average: near 1.0 the darkest spot is almost as bright as the typical one, while a low value means dark patches the mean conceals. EN 12464-1 (and AS/NZS 1680) expect U0 ≥ 0.60 across a task area such as a desk; a related, stricter ratio is diversity = minimum ÷ maximum. A space can hit its target average and still feel patchy, which the ratio reveals but the mean hides.
Pick your space type to load its target, then set the grid to match how you walked the space (e.g. 4 columns across the desk, 4 rows front-to-back) and type each reading in lux into the cell at that position. Leave a cell blank where you did not take a reading; blanks are ignored in the maths and shown empty on the map.
Amount. AS/NZS 1680.2 sets a maintained illuminance per space type (the targets in the space-type list, from the Week 4 brief); the tool reports whether your average sits below, on, or above that range. It allows a 20% margin above the top of the range before flagging "above target", since a little headroom is normal, and reads any average below the bottom of the range as falling short. Overshoot is not a failure, but note it: over-lighting wastes energy and can add glare.
Evenness. The uniformity ratio here, U0 = minimum ÷ average, is the same quantity EN 12464-1 uses to specify indoor lighting, and AS/NZS 1680 works from the same idea: a minimum U0 on a defined task-area grid, commonly U0 ≥ 0.60 for the task area itself (e.g. a desk or workbench) and 0.40 for the immediate surround. Two cautions before you quote a number: the standards prescribe a grid spacing and a task area (roughly square cells, sized to the space), so a comparable U0 needs a reasonably regular grid over the task plane, not a handful of scattered points; and diversity (minimum ÷ maximum) is a different, stricter ratio some guides also quote, so name which one you are reporting.
The same readings as a map, so you can see where the light falls away.
Each cell is shaded by its reading (dark = low lux, bright = high lux) and the lowest and highest readings are ringed. The mean gives you the amount of light. It cannot show you the spatial pattern: a bright patch propping the average up, or a dark corner off the task. Read the map alongside the ratio before you decide what a designer would change.
The figure you submit for Assignment 1 must be one you build yourself, not a screenshot of this tool: labelled axes with units, a legend where needed, and a caption that tells the reader what to notice. Building it is the skill being marked.
Each filled cell is shaded on a perceptually-uniform, colourblind-friendly (viridis) colour ramp, normalised so the darkest reading sits at the low end and the brightest at the high end: t = (value − min) ÷ (max − min). Blank cells (no reading) are drawn as dashed outlines and excluded from the scale. The single lowest and highest readings are ringed so the extremes driving the uniformity ratio are easy to find on the plane.
What the spread of readings looks like at a glance.
The same readings as a box plot: the box spans the middle half (25th to 75th percentile), the line is the median, the whiskers reach the minimum and maximum, and each dot is one reading. The shape it makes is the distribution a single average lux value flattens away: tight and symmetric, or stretched by a few dark or bright outliers.
Quartiles use linear interpolation between order statistics: for quantile q over n sorted readings, position = (n − 1) × q, and the value is interpolated between the two neighbouring points. The box spans the 25th to 75th percentile (the interquartile range), the centre line is the median, and the whiskers reach the full minimum and maximum. Every reading is drawn as a jittered dot so you can see clustering the five-number summary hides.