Scope & Focus Areas
Spatial patterns describe the arrangement of objects, events, or phenomena across geographic or abstract space. Contributions should address:
- Clustering, dispersion, and randomness in natural systems
- Voronoi tessellations, Delaunay triangulations, and proximity graphs
- Spatial autocorrelation (Moran's I, Geary's C) & hotspot analysis
- Fractal geometry, self-similarity, and scale invariance
- Urban morphology, street networks, and sprawl indices
- Point pattern analysis, kernel density estimation, and spatial interpolation
Article Structure Template
All entries must follow the standard Aevum editorial framework to ensure consistency and cross-linking efficiency:
1. Abstract / Executive Summary (150-200 words)
2. Historical Development & Key Contributors
3. Mathematical/Statistical Foundations
4. Methodological Approaches & Algorithms
5. Real-World Applications & Case Studies
6. Limitations & Ongoing Research Debates
7. Verified References (APA/Chicago + DOIs)
8. See Also / Cross-References
Citation & Verification Standards
Spatial analysis relies heavily on empirical data and reproducible methods. All claims must be backed by:
- Peer-reviewed journals (Nature, Science, Journal of Geography, etc.)
- Open-access datasets with clear provenance (USGS, ESA, NASA Earthdata, OpenStreetMap)
- Executable code notebooks (Python/R) for algorithmic explanations
- Primary sources for historical or theoretical claims
⚠️ Unverified blogs, preprints without DOI, and proprietary datasets without licensing are not accepted.
Media & Data Requirements
Visual clarity is critical for spatial concepts. Please provide:
- Vector-based diagrams (SVG/PDF) for mathematical constructs
- High-resolution raster maps (≥300 DPI) with clear legends & coordinate references
- Interactive map embeds (Leaflet/Mapbox) linked to stable repos
- All media must use CC BY 4.0 or public domain licensing