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Spatiotemporal Patterns and Human Accessibility of the July 2026 Northern Algeria Wildfires: An Event-Based Statistical Analysis
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Abstract
Northern Algeria experienced a widespread wildfire outbreak between 20 and 24 July 2026, coinciding with an exceptional regional heatwave. This report presents an independent, multi-method statistical analysis of satellite-detected fire activity (NASA VIIRS/FIRMS, n = 4,105 raw detections) to evaluate whether the spatial and temporal structure of these fires — together with their proximity to roads and settlements — exhibits patterns consistent with human accessibility, rather than with complete spatial randomness or coordinated ignition. The analysis does not attempt to determine the natural or human origin of any individual fire, and is not a substitute for field investigation or judicial findings.
Raw detections were aggregated into 164 independent wildfire events via spatiotemporal clustering (2 km / 48 h criterion), correcting for repeated satellite detections of the same burning fire. Spatial clustering was confirmed through two independent methods — Clark-Evans nearest-neighbor analysis (R = 0.633, Monte Carlo p = 0.01) and multi-scale Ripley's K (observed values outside the 99-simulation Monte Carlo envelope at all radii from 1–20 km) — while a permutation-based Knox space-time interaction test found no significant temporal coordination between spatially proximate events (p = 0.972). Wildfire events were also significantly closer to roads (median 282 m vs. 1,155 m expected, p = 0.01) and settlements (median 2.21 km vs. 4.74 km expected, p = 0.01) than random placement would predict. A three-parameter sensitivity analysis confirmed that both the clustering and space-time-independence conclusions are robust across a range of event-definition thresholds.
Together, these results indicate that the July 2026 wildfire outbreak exhibited non-random spatial organization strongly associated with human-accessible landscapes, while showing no evidence of temporally coordinated ignition. The findings are consistent with a wildfire regime shaped by the interaction of environmental conditions and human accessibility, rather than by purely random ignition — though proximity alone cannot distinguish between accidental and deliberate human causation, and does not substitute for case-specific investigation.
DOI
https://doi.org/10.31223/X5FB8X
Subjects
Earth Sciences, Physical Sciences and Mathematics
Keywords
wildfires, VIIRS, Algeria, Ripley's K, spatial statistics, spatiotemporal analysis, Clark-Evans, GIS, Monte Carlo, Knox test
Dates
Published: 2026-08-09 05:03
Last Updated: 2026-08-09 05:03
License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
None
Data Availability:
The analysis was conducted in Python 3 using numpy, pandas, scipy, rasterio, and geopandas. Coordinate transformations, clustering thresholds, and Monte Carlo parameters are documented in Section 3 of the manuscript to support reproducibility. The analysis uses NASA FIRMS/VIIRS active fire data, NASA SRTM elevation data, and OpenStreetMap data accessed through Geofabrik.
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