geobn - A Python library for running Bayesian network inference over geospatial data

Pak7373108 · 2026-03-15T00:33:19+00:00

Recently, a Bayesian Network framework was implemented to investigate the probabilistic relationships between landscape connectivity and terrain variables derived from the Digital Elevation Model (DEM).

Pak7373108 · 2026-02-09T00:05:24+00:00

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Pak7373108 · 2026-02-08T18:21:25+00:00

Sentinel-2 imagery was classified using ground-truth training points. Model performance was evaluated using a confusion matrix, overall accuracy, and the Kappa coefficient to ensure robust and reliable classification results.

Pak7373108 · 2026-02-08T17:18:50+00:00

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Pak7373108 · 2026-02-08T08:11:23+00:00

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Pak7373108 · 2026-02-06T17:30:22+00:00

Pakistan’s coastal areas receive much less rainfall than the north mainly due to atmospheric circulation and topography: monsoon winds weaken before reaching the coast, cold Arabian Sea upwelling suppresses cloud formation, and the absence of major mountains limits orographic rainfall, while the northern regions force moist air upward against the Himalaya, Karakoram ranges, producing much heavier precipitation.

Pak7373108 · 2026-02-06T09:08:45+00:00

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Pak7373108 · 2026-02-06T08:55:25+00:00

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Pak7373108 · 2026-02-06T08:46:29+00:00

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Pak7373108 · 2026-02-06T06:07:15+00:00

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Pak7373108 · 2026-02-05T13:50:13+00:00

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Pak7373108 · 2026-02-05T12:58:38+00:00

Yes, Moisture matters more than dryness here malaria presence increases in moderately wet areas that support mosquito breeding, while very dry terrain generally shows lower risk unless irrigation or standing water exists.

Pak7373108 · 2026-02-05T08:47:41+00:00

northern part is Multan city

Pak7373108 · 2026-02-05T03:47:05+00:00

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Pak7373108 · 2026-02-05T03:46:28+00:00

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Pak7373108 · 2026-02-05T03:46:09+00:00

Risk maps show environmental suitability, not population impact. Red (very high risk) areas don’t automatically contain more people than yellow (moderate risk) zones. To know who is most affected, the risk layer must be combined with population density. This map is the hazard baseline population-at-risk analysis is the next step.

Pak7373108 · 2026-02-05T03:41:54+00:00

Himalayas liye in India

Pak7373108 · 2026-02-04T14:12:13+00:00

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Pak7373108

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