Distance to small gardens measures the Euclidean distance (in metres) from every point in the study area to the nearest garden or neighbourhood green space, defined as a contiguous green area of at least 0.04 hectares (400 m²). This indicator provides information on fine-grained accessibility to urban green spaces, including small spaces such as residential gardens, community allotments and small playgrounds.
Unlike Distance to Green (which considers all green areas) and Distance to Parks (0.5 ha threshold), this indicator captures the green micro-structure of the urban fabric: the small green spaces that ensure daily contact with nature for residents. Scientific research shows that even small green spaces (< 0.5 ha) contribute significantly to physical and mental well-being and stress reduction (Peschardt et al., 2012).
The ANGSt standard (Accessible Natural Greenspace Standard, Natural England, 2010) recommends that every resident should have access to a green space within 300 m of their home. The WHO further specifies that small but well-distributed green spaces can have a positive impact on public health (WHO, 2016).
The indicator calculates the Euclidean distance from every point in the polygon to the nearest small garden:
10 — Tree cover (forests and tree coverage)20 — Shrubland30 — Grassland (meadows and pastures)90 — Herbaceous wetland95 — Mangroves100 — Moss and lichenscipy.ndimage.label with 8-connectivity to identify contiguous green patchesscipy.ndimage.distance_transform_edt to compute Euclidean distance from each pixel to the nearest gardenUnit: metres (m)
| Code | Name | Provider | Resolution | Availability |
|---|---|---|---|---|
WRD_ESWCV_99 | ESA WorldCover | ESA / Vito | 10 m | 2020 — 2021 |
WRD_IMPBS_99 | Impact Observatory | Impact Observatory | 10 m | 2017 — present |
WRD_S2SCL_99 | Sentinel-2 SCL | ESA/Copernicus | 20 m | 2017 — present |
WRD_GDYXX_99 | Google Dynamic World | 10 m | continuous | |
WRD_OSMXX_99 | OpenStreetMap | OpenStreetMap Foundation | vector | continuous |
WRD_BIODL_99 | Biodiversa LC | Biodiversa+ | 10 m | 2020 — present |
WRD_CLCBK_99 | CLC Backbone | EEA | 100 m | 2018 |
WRD_CRINE_99 | Corine Land Cover | EEA | 100 m | 1990 — 2018 |
WRD_DOMLT_99 | Dominant Leaf Type | Copernicus Land | 100 m | 2015 — present |
WRD_EUCRP_99 | European Crop Map | JRC | 10 m | 2018 — present |
| Indicator | Unit | Range | Inverted |
|---|---|---|---|
distance_to_small_gardens | m | [0, 150, 300, 500, 1000, 2000] | Yes |
Inverted = Yes: a shorter distance is better, as it indicates greater proximity to small gardens and better access to neighbourhood green spaces.
Thresholds follow the ANGSt standard (Natural England, 2010):
| Level | distance_to_small_gardens | Interpretation |
|---|---|---|
| E | > 1000 m | Very poor access to gardens |
| D | 500 – 1000 m | Insufficient access to gardens |
| C | 300 – 500 m | Moderate access to gardens |
| B | 150 – 300 m | Good access to gardens |
| A | 0 – 150 m | Excellent access to gardens |
distance_to_small_gardens
(m)The Distance to Small Gardens map calculates the Euclidean distance from every point to the nearest small garden or neighbourhood green space, defined as a green area of at least 0.04 hectares (400 m²). The calculation uses ESA WorldCover 2021 classification, identifying green classes: 10 (Tree cover), 20 (Shrubland), 30 (Grassland), 90 (Herbaceous wetland), 95 (Mangroves), 100 (Moss and lichen). Connected component analysis (scipy.ndimage.label) with 8-connectivity identifies contiguous green patches. Patches smaller than 0.04 hectares (400 m²) are filtered out. Euclidean distance (scipy.ndimage.distance_transform_edt) is calculated on the resulting mask and converted to metres. A 1000 m buffer is applied to avoid edge effects. Classification into 5 levels: 1-Excellent (0-150m), 2-Good (150-300m), 3-Moderate (300-500m), 4-Bad (500-1000m), 5-Very Bad (>1000m).