feat(ggplot2): implement area-elevation-profile

[github-actions]

Implementation: area-elevation-profile - r/ggplot2

Implements the r/ggplot2 version of area-elevation-profile.

File: plots/area-elevation-profile/implementations/r/ggplot2.R

Parent Issue: #4578

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🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

Light render (plot-light.png): The plot displays an area-elevation profile of an Alpine traverse on a warm off-white #FAF8F1 background. A green (#009E73) filled silhouette represents terrain elevation from a 700m floor to peaks reaching ~2,980m (High Summit), with a solid profile line atop the fill at 50% alpha. Seven landmarks are annotated with dashed grey vertical lines, open green circles, and 45°-angled text labels (Valley Start, Fontaine Col, Aiguille Peak, Lac Hut, Grand Col, High Summit, Valley End). The x-axis shows distance 0–120km; the y-axis shows elevation 800–3,200m with comma-formatted ticks. Title and subtitle are centered at the top. All text is clearly readable against the light background. A thin solid green band is visible at the very bottom (the 700–800m fill region below the first axis tick).

Dark render (plot-dark.png): The same composition on the warm near-black #1A1A17 surface. The data color (#009E73 green) is identical to the light render — only chrome flips. Title and subtitle text is light-colored and clearly readable. Axis labels and tick labels use light INK_SOFT token (#B8B7B0) and are fully legible against the dark background. No dark-on-dark failures observed. The dashed landmark lines adapt to lighter grey on the dark theme. Landmark label text renders in light #F0EFE8, clearly readable.

Both renders pass the theme-readability check. No edge clipping detected in either render.

Score: 88/100

Category	Score	Max
Visual Quality	29	30
Design Excellence	13	20
Spec Compliance	15	15
Data Quality	14	15
Code Quality	9	10
Library Mastery	8	10
Total	88	100

Visual Quality (29/30)

• VQ-01: Text Legibility (7/8) — All sizes explicitly set; landmark labels at size=2.6 (~7.4pt) are slightly small for the 3200×1800 canvas but remain readable
• VQ-02: No Overlap (6/6) — Angled 45° labels avoid overlap cleanly; spacing between landmarks is sufficient
• VQ-03: Element Visibility (6/6) — Terrain fill, profile line, landmark dots, and dashed verticals are all well-sized and distinct
• VQ-04: Color Accessibility (2/2) — Single-series, CVD-safe Imprint green; 50% alpha fill maintains contrast in both themes
• VQ-05: Layout & Canvas (4/4) — Canvas is exactly 3200×1800 (8×4.5in @ 400dpi); plot fills the canvas well with balanced margins
• VQ-06: Axis Labels & Title (2/2) — "Distance (km)" and "Elevation (m)" are descriptive with units
• VQ-07: Palette Compliance (2/2) — Single series uses #009E73 (Imprint position 1); backgrounds are #FAF8F1/#1A1A17; all chrome tokens are theme-adaptive

Design Excellence (13/20)

• DE-01: Aesthetic Sophistication (5/8) — Above well-configured defaults: semi-transparent terrain fill, horizontal-only grid, open-circle landmark dots, 45° angled labels, subtitle providing context. Thoughtful composition, but doesn't quite reach the "strong design" threshold of 6
• DE-02: Visual Refinement (4/6) — Good: border removed, L-shaped frame via axis lines, horizontal grid only (y-only, no minor), y-ticks removed, vertical dashed landmark lines serve as meaningful x-guides rather than decorative grid. Could improve: bottom green band (700–800m below first tick) is a minor visual artifact
• DE-03: Data Storytelling (4/6) — Good visual hierarchy: terrain silhouette tells the story of altitude change at a glance; 7 named waypoints create narrative structure; subtitle contextualises the 10× exaggeration. Viewer immediately reads "this is a challenging alpine traverse"

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) — Correct area/elevation profile with terrain silhouette fill
• SC-02: Required Features (4/4) — Area fill ✓, landmark vertical lines + text labels ✓, vertical exaggeration noted in subtitle ✓, distance/elevation axes ✓, 50–500 sample points (481) ✓
• SC-03: Data Mapping (3/3) — X=distance (km), Y=elevation (m), axes span the full data range
• SC-04: Title & Legend (3/3) — Title is area-elevation-profile · r · ggplot2 · anyplot.ai; no legend needed for single-series

Data Quality (14/15)

• DQ-01: Feature Coverage (5/6) — Shows ascents, descents, valleys, multiple peaks, start/end points, and 7 annotated landmarks. Minor: spec notes to label start/end points with both name AND elevation; labels use names only
• DQ-02: Realistic Context (5/5) — Plausible Alpine traverse with French alpine naming (Fontaine Col, Aiguille Peak), realistic 120km distance and 820–2980m elevation range
• DQ-03: Appropriate Scale (4/4) — Values are factually correct for Alpine terrain; vertical exaggeration noted

Code Quality (9/10)

• CQ-01: KISS Structure (3/3) — Linear: imports → tokens → data → plot → save; no functions or classes
• CQ-02: Reproducibility (2/2) — set.seed(42) ✓
• CQ-03: Clean Imports (1/2) — library(dplyr) is imported but never called; all data operations use base R (data.frame, approx, splinefun)
• CQ-04: Code Elegance (2/2) — Clean, appropriate complexity; no over-engineering; no fake interactivity
• CQ-05: Output & API (1/1) — Saves plot-{THEME}.png correctly; uses modern linewidth= API

Library Mastery (8/10)

• LM-01: Idiomatic Usage (5/5) — Expert ggplot2 layering: geom_ribbon for area, geom_line for profile, geom_vline + geom_point(shape=21) + geom_text for landmarks; proper coord_cartesian for y-axis clipping; theme_minimal + custom theme
• LM-02: Distinctive Features (3/5) — geom_ribbon with ymin/ymax mapping is distinctive to ggplot2's grammar; R native splinefun/approx for terrain smoothing integrates R's statistical computing with the visualization. Could leverage more advanced ggplot2 features (e.g., gradient fill via scale_fill_gradient on a secondary geom_tile, or annotate with custom grob for elevation callouts)

Score Caps Applied

• None — all category minimums are above cap thresholds

Strengths

• Terrain silhouette with geom_ribbon + semi-transparent fill creates an immediately recognizable elevation profile
• Theme tokens are properly applied to ALL chrome elements; dark render has no dark-on-dark failures
• Landmark dashed vertical lines with open-circle markers and angled labels create clear, uncluttered annotation
• Vertical exaggeration is noted in the subtitle — transparent and professional
• Canvas dimensions are exactly correct (3200×1800); both themes pass readability checks

Weaknesses

• library(dplyr) is imported but not used — remove it (all data operations use base R)
• Landmark labels show only names without elevation values; spec requests labeling start/end points with both name and elevation (e.g., "Valley Start (820m)", "High Summit (2,980m)") — adding elevations to at least the start/end and peak landmarks would improve spec compliance and data storytelling
• Landmark label text size (size = 2.6 mm ≈ 7.4pt) is slightly below the recommended size for the 3200×1800 canvas — increase to size = 3.0 or size = 3.2 for better mobile readability
• Thin green band at the canvas bottom (fill from y=700 to y=800, below the first tick label at 800m) — either raise ymin in geom_ribbon to match the valley floor (~820m) and adjust coord_cartesian(ylim = c(750, 3450)), or if this floor band is intentional make it more explicitly a base layer (e.g., a slightly different shade)
• DE-01 could be elevated: the terrain fill uses a single flat green; a gradient from a brighter #009E73 at the top to a more muted #006B4F at the bottom would add sophistication to the silhouette

Issues Found

1. CQ-03 MINOR: library(dplyr) imported but unused
   • Fix: Remove library(dplyr) from imports
2. DQ-01 MINOR: Landmark labels missing elevation values
   • Fix: Update labels to include elevation — e.g., paste0(name, "\n(", round(elevation), "m)") or add elevation as a second line / parenthetical
3. VQ-01 MINOR: Landmark text size slightly small
   • Fix: Increase geom_text(..., size = 3.0) for better legibility at mobile widths

AI Feedback for Next Attempt

Three targeted improvements would push this to approval: (1) Remove unused library(dplyr). (2) Add elevation values to landmark labels — at minimum for Valley Start, High Summit, and Valley End (spec explicitly calls for labeling start/end with elevations). (3) Increase landmark text size to size = 3.0 or 3.2. Optional enhancement that would raise DE scores: replace the flat green ribbon fill with a subtle gradient using ggplot2's scale_fill_gradient applied via a colour-mapped layer (e.g., shade by elevation using geom_ribbon with an aesthetic mapped fill and scale_fill_gradient(low = "#006B4F", high = "#009E73")).

Verdict: REJECTED

[github-actions]

🔧 Repair Attempt 1/4

Applied fixes based on AI review feedback.

Status: Repair completed, re-triggering review...

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🤖 impl-repair

[claude]

AI Review - Attempt 2/3

Image Description

Light render (plot-light.png): Warm off-white #FAF8F1 background. Title "area-elevation-profile · r · ggplot2 · anyplot.ai" centered at 12pt, subtitle "Alpine Traverse · 120 km · ~10× vertical exaggeration" below in INK_SOFT. Terrain silhouette filled with a vertical linear gradient from dark muted green (#006B4F at 40% alpha) at the valley floor to brand green (#009E73 at 65% alpha) at peaks — creating a professional landscape-illustration effect. Profile line in #009E73. Y-axis "Elevation (m)" labeled 800–3,200 with comma-formatted ticks; X-axis "Distance (km)" labeled 0–120. Seven dashed landmark verticals with open-circle markers and 45° angled text labels (Valley Start, Fontaine Col, Aiguille Peak, Lac Hut, Grand Col, High Summit, Valley End) with elevation callouts. All text is dark (INK/INK_SOFT tokens) and clearly readable against the light background. No light-on-light issues. Legibility verdict: PASS.

Dark render (plot-dark.png): Warm near-black #1A1A17 background. All chrome elements have correctly flipped to light tokens — title, axis labels, tick labels, and subtitle are rendered in #F0EFE8 / #B8B7B0 (INK / INK_SOFT dark-mode values), clearly readable against the near-black surface. Data colors are identical to the light render: the terrain gradient remains #006B4F→#009E73 and the profile line stays #009E73 — only chrome has flipped. Landmark labels visible with light text. Horizontal grid lines in muted INK_SOFT tone. No dark-on-dark issues detected. Brand green #009E73 reads well on the dark surface. Legibility verdict: PASS.

Both paragraphs are required. A review that only describes one render is invalid.

Score: 88/100

Category	Score	Max
Visual Quality	26	30
Design Excellence	13	20
Spec Compliance	15	15
Data Quality	15	15
Code Quality	10	10
Library Mastery	9	10
Total	88	100

Visual Quality (26/30)

• VQ-01: Text Legibility (7/8) — All font sizes explicitly set (title 12pt, axis titles 10pt, axis text 8pt, landmark labels size=3.0). Well-proportioned at canvas size. Minor deduction for slight crowding of 45° landmark labels in the x=18–60 km zone.
• VQ-02: No Overlap (5/6) — Labels are close in the Fontaine Col / Aiguille Peak zone (~12 km apart, both going upper-right at 45°) but vertically offset enough (elevation difference ≈780 m → ~119 px gap) to stay readable. No hard overlap.
• VQ-03: Element Visibility (6/6) — 481-point terrain profile clearly visible; gradient fill occupies the full silhouette; profile line at linewidth=1.0 well-suited to this density; landmark points (size=2.5) clearly visible.
• VQ-04: Color Accessibility (2/2) — Single-series green on both surfaces; adequate luminance contrast; no red-green conflict.
• VQ-05: Layout & Canvas (3/4) — Correct 3200×1800 landscape canvas; canvas gate passed. Good margins (20/30/15/15 pt). Minor deduction: label texts near the high peaks (2800–3000 m) extend close to the upper margin with limited breathing room.
• VQ-06: Axis Labels & Title (2/2) — "Elevation (m)" and "Distance (km)" with units; subtitle specifies traverse length and vertical exaggeration.
• VQ-07: Palette Compliance (2/2) — Profile line uses IMPRINT_PALETTE[1] = #009E73. Gradient fill is a brand-green derivative (#006B4F→#009E73 with alpha), consistent with single-series brand identity. Backgrounds #FAF8F1 (light) / #1A1A17 (dark); all chrome tokens correctly theme-adaptive in both renders.

Design Excellence (13/20)

• DE-01: Aesthetic Sophistication (5/8) — Above "well-configured default" territory: the linearGradient terrain fill (ggplot2 3.5.0+ grid feature) creates a genuine landscape-illustration effect; open-circle landmark markers with PAGE_BG fill add definition; subtitle metadata is informative and styled. Not yet "strong design" — the typography is standard and there is no bold emphasis on elevation extremes or peak/valley storytelling through color contrast beyond the gradient.
• DE-02: Visual Refinement (4/6) — L-shaped axis lines (axis.line.x + axis.line.y), panel border removed, top/right spines absent. Y-axis ticks removed; X-axis ticks kept. Only major Y-grid (no X-grid, no minor grid) — very clean approach. Reasonable whitespace.
• DE-03: Data Storytelling (4/6) — The gradient fill creates immediate visual hierarchy (darker valleys, brighter peaks). Landmark annotations name key features and show elevations. Subtitle explains vertical exaggeration. The plot guides the viewer through the terrain profile effectively.

Spec Compliance (15/15)

• SC-01: Plot Type (5/5) — Correct area elevation profile: cross-section line with filled terrain silhouette, distance on X, elevation on Y.
• SC-02: Required Features (4/4) — Area fill ✓; start/end labeled (Valley Start + Valley End) ✓; landmarks annotated with vertical dashed lines + text labels ✓; vertical exaggeration noted in subtitle ✓; optional gradient coloring based on elevation implemented ✓.
• SC-03: Data Mapping (3/3) — Distance (km) on X, elevation (m) on Y, all 481 sample points rendered.
• SC-04: Title & Legend (3/3) — Title exactly area-elevation-profile · r · ggplot2 · anyplot.ai. No separate legend needed (single-series terrain).

Data Quality (15/15)

• DQ-01: Feature Coverage (6/6) — Shows all aspects: multi-peak terrain, valleys, labeled landmarks (summits, cols, huts), vertical exaggeration factor, start/end annotations.
• DQ-02: Realistic Context (5/5) — Alpine traverse with plausible French/Alpine names (Fontaine Col, Aiguille Peak, Lac Hut, Grand Col); 120 km distance; neutral geography/hiking domain.
• DQ-03: Appropriate Scale (4/4) — Valley start/end at ~820–1080 m, peak summits at 2652 m and ~2980 m — factually consistent with a multi-day Alpine traverse.

Code Quality (10/10)

• CQ-01: KISS Structure (3/3) — Clean linear flow: imports → tokens → data → plot → save. No functions or classes.
• CQ-02: Reproducibility (2/2) — set.seed(42) present.
• CQ-03: Clean Imports (2/2) — ggplot2 (plotting), scales (comma labels + alpha), ragg (PNG device), grid (linearGradient / unit) — all used.
• CQ-04: Code Elegance (2/2) — Idiomatic grammar-of-graphics construction; linearGradient as fill value is a clean single-line integration; no over-engineering; no fake UI elements.
• CQ-05: Output & API (1/1) — Saves as plot-{THEME}.png via ragg::agg_png; modern ggplot2 API (linewidth= not deprecated size=).

Library Mastery (9/10)

• LM-01: Idiomatic Usage (5/5) — Expert grammar-of-graphics layering (geom_ribbon + geom_line + geom_vline + geom_point + geom_text); correct use of scale_*, coord_cartesian, expansion(), theme_minimal() + theme() layering.
• LM-02: Distinctive Features (4/5) — linearGradient() from R's grid package used as a direct fill value for geom_ribbon — a ggplot2 3.5.0+ feature that leverages R's native grid graphics system and is not replicable in Python libraries; splinefun() for terrain generation and approx() for landmark interpolation are R-idiomatic. Minor deduction: other geom choices are standard.

Score Caps Applied

• None — no caps triggered.

Strengths

• linearGradient from R's grid package as terrain fill — leverages ggplot2 3.5.0+ grid integration for a distinctive landscape-illustration effect not easily replicated in other libraries
• Complete spec compliance: all required features present (terrain fill, landmark annotations with dashed verticals, start/end labels, vertical exaggeration note)
• Perfect theme adaptation: correct #FAF8F1 / #1A1A17 backgrounds with all INK/INK_SOFT tokens properly applied in both renders — no dark-on-dark failures
• Realistic Alpine traverse with plausible named landmarks, factually consistent elevation ranges, and neutral domain
• Clean idiomatic ggplot2 code: KISS structure, explicit sizing throughout, set.seed(42), all imports used

Weaknesses

• Landmark labels in the x=18–60 km mountain zone are somewhat dense (Fontaine Col / Aiguille Peak / Lac Hut all within 27 km, all going upper-right at 45°); consider reducing label font size slightly or staggering vjust offsets for adjacent labels to improve breathing room
• Title and subtitle typography are standard — could gain DE-01 points with a bolder title weight or slightly larger subtitle contrast
• Upper plot margin is tight when multiple high-peak labels (2800–3000 m) extend toward the top margin; slight increase to plot.margin top would add breathing room

Issues Found

1. VQ-02 MINOR: Adjacent landmark labels (x=18 Fontaine Col, x=30 Aiguille Peak) are spatially close in the 45° upper-right direction. They do not overlap but have limited separation.
   • Fix: Reduce landmark label size from 3.0 to 2.5, or add a small vjust stagger for labels within 15 km of each other.
2. VQ-05 MINOR: Peak labels near 2800–3000 m elevation extend close to the upper margin boundary.
   • Fix: Increase plot.margin top from 20 pt to 28–30 pt to create more breathing room.
3. DE-01 MODERATE: Design is above-default thanks to the gradient fill and annotation system, but does not reach "strong design" threshold.
   • Fix: Bold the plot title (face = "bold"), add a visible emphasis marker (larger dot or distinct color) for the highest summit, or increase title-to-subtitle font size contrast.

AI Feedback for Next Attempt

The implementation is solid and approved. For future attempts of this spec: (1) consider face="bold" for the plot title to push DE-01 higher; (2) reduce landmark label size to 2.5 and add slight vjust staggering for adjacent labels in dense mountain zones; (3) consider a slightly wider top plot margin (28–30pt) when high-peak labels are present near the axis ceiling.

Verdict: APPROVED