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conflict-data

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Turn conflict event data into hotspots and onset risk

Education & Research#dbscan#hotspot detection#acled#conflict analytics#ucdp ged#political violence#panel modeling
Authorxjtulyc
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you transform raw political violence event streams into analyzable datasets for conflict hotspot detection, conflict onset modeling, and fatality trend/uncertainty estimation.

Core Features & Use Cases

  • ACLED/UCDP Data Download & Structuring: Pull ACLED event data via API with proper credential handling, and load UCDP GED CSV with battle-death uncertainty columns (low/best/high).
  • Spatio-Temporal Aggregation & Hotspot Clustering: Aggregate events into monthly patterns or country-year panels, then identify geographic hotspots using DBSCAN with Haversine distance in kilometers.
  • Onset and Fatality Analysis: Build a country-year conflict onset logit panel (with lags and country fixed effects via dummies) and summarize UCDP fatality uncertainty over time.

Quick Start

Use the conflict-data skill to download ACLED events for Nigeria between 2016-01-01 and 2023-12-31, aggregate them, cluster hotspots with DBSCAN, and estimate conflict onset risk from a country-year panel.

Dependency Matrix

Required Modules

pandasgeopandasrequestssklearnnumpymatplotlib

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: conflict-data
Download link: https://github.com/xjtulyc/awesome-rosetta-skills/archive/main.zip#conflict-data

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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