Snow Cover Analysis Dashboard - Northern Pakistan

📊 Key Statistics (2020-2024)

Moran's I (Snowfall)

0.42

p = 0.003 ⭐ Significant

Districts Analyzed

23

Northern Pakistan

Snow Depth Loss

-9,241%

Nagar & Gilgit (Extreme)

Correlation (Snow-Energy)

r = 0.89

Snowfall ↔ Snowmelt

Summary Statistics (2020-2024)

Variable	Mean	Std Dev	Min	Max	Unit
Snow Cover	-1.80	0.91	-3.93	-0.10	%
Snowfall	-1.00	0.54	-2.09	-0.10	m × 10⁴
Snowmelt	-0.66	0.47	-1.84	0.07	m × 10⁴
Latent Heat Flux	-67,700	28,760	-117,299	5,062	J/m²

📈 Interactive Visualizations

District Rankings: Snowmelt Change

Temporal Trends (2016-2025)

Correlation Matrix

🔍 Key Findings

🌍 Spatial Clustering

Snowfall: I = 0.42 (p < 0.01)
Snowmelt: I = 0.21 (p < 0.05)
Pattern: Not random distribution

❄️ Extreme Changes

Nagar: -9,241% snow depth
Gilgit: -9,241% snow depth
Diamir: -2,241% snow depth

⚡ Energy-Snow Coupling

Snowfall-Snowmelt: r = 0.89
Latent-Solar: r = -0.89
Model R²: 0.25

📊 Period Comparison

2015-2019: Western high snowfall
2020-2024: Eastern shift
Change: Pattern reversal

🚨 Priority Districts

Gilgit: Extreme loss + hotspot
Hattian Bala: -1.84 × 10⁴ snowmelt
Muzaffarabad: High vulnerability

💧 Water Resources

80%: Reduced snowmelt
Impact: Indus River system
Risk: Agricultural water stress

LISA Hotspots (p < 0.05)

District	Cluster Type	p-value	Interpretation
Lower Dir (Temergara)	High-High	0.015	High snowmelt, high neighbors
Upper Dir	High-High	0.028	High snowmelt, high neighbors
Diamir (At Chilas)	High-Low	0.022	Isolated high snowmelt
Muzaffarabad	Low-Low	0.003	Low snowmelt, low neighbors
Neelum	Low-Low	0.023	Low snowmelt, low neighbors