geoskill-spatial-storytelling

空间叙事 / 故事地图 | Spatial Storytelling

Weaves multiple maps, narrative text and statistical charts into a scrollytelling HTML page: each chapter contains an embedded map, a narrative passage and an SVG line chart, revealed chapter by chapter as the reader scrolls — well suited to data journalism and science-communication posts.

Each band of a multi-band GeoTIFF is treated as one chapter; synthetic mode generates an urban-expansion time series.

Core Algorithm / 核心算法

Per-band pipeline: render_band_png_b64(colormap) → line_chart_svg trend chart → build_section validation → assembled by build_story_html (sticky map + chapter cards + navigation).

Dependencies / 依赖

pip install numpy rasterio scipy matplotlib geopandas shapely pillow

Usage / 使用方法

Example 1 (synthetic data, offline)

python geoskill-spatial-storytelling.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out

Example 2 (custom title/subtitle)

python geoskill-spatial-storytelling.py --input series.tif --title "30 Years of Urban Expansion" --subtitle "1990-2020"

Example 3 (4-chapter synthetic story)

python geoskill-spatial-storytelling.py --bbox 116 39 117 40 --synthetic --chapters 4

Example 4 (chapter prefix)

python geoskill-spatial-storytelling.py --bbox 116 39 117 40 --synthetic --chapter-prefix "stage"

Example 5 (terrain colormap)

python geoskill-spatial-storytelling.py --input series.tif --cmap terrain

Output / 输出

Each run also produces output-manifest.json (run manifest).

Data Source / 数据源 / Source

Local GeoTIFF / vector files; --synthetic mode generates physically consistent simulated data, fully offline.

Privacy / 隐私声明 / Privacy

• Runs offline by default; --synthetic mode requires no network at all.
• All processing is done locally; user data is never uploaded.

License / License

MIT

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name: geoskill-spatial-storytelling description: 'Weave multiple maps, text and charts into a scroll-driven storytelling HTML page'

空间叙事 / 故事地图 | Spatial Storytelling

把多幅地图、文字解说与统计图表编织成滚动叙事（scrollytelling） HTML：每个章节含一幅内嵌地图、一段叙述与一张 SVG 折线图，随滚动逐章呈现，适合数据新闻与科普推文。

多波段 GeoTIFF 每波段视为一章；合成模式生成城市扩张时序。

核心算法

逐期 render_band_png_b64(colormap) → line_chart_svg 趋势图 → build_section 校验 → build_story_html(sticky 地图+章节卡片+导航) 组装。

依赖

pip install numpy rasterio scipy matplotlib geopandas shapely pillow

使用方法

示例 1（合成数据，离线）

python geoskill-spatial-storytelling.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out

示例 2（自定义标题/副标题）

python geoskill-spatial-storytelling.py --input series.tif --title "城市扩张三十年" --subtitle "1990-2020"

示例 3（4 章合成故事）

python geoskill-spatial-storytelling.py --bbox 116 39 117 40 --synthetic --chapters 4

示例 4（章节前缀）

python geoskill-spatial-storytelling.py --bbox 116 39 117 40 --synthetic --chapter-prefix "阶段"

示例 5（地形配色）

python geoskill-spatial-storytelling.py --input series.tif --cmap terrain

输出

每次运行还会产出 output-manifest.json（运行清单）。

数据源 / Source

本地 GeoTIFF / 矢量文件；--synthetic 模式生成物理一致的模拟数据，完全离线。

隐私声明 / Privacy

• 默认离线运行，--synthetic 模式完全无网络。
• 所有处理在本地完成，不上传用户数据。

License

MIT