geo-infer-time

Community

Unlock temporal insights from your geospatial data.

AuthorActiveInferenceInstitute
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill tackles the challenge of analyzing and understanding time-dependent patterns within geospatial data, enabling accurate forecasting and anomaly detection.

Core Features & Use Cases

  • Time Series Analysis: Analyze trends, seasonality, and detect anomalies in temporal data.
  • Forecasting: Predict future values using methods like ARIMA and Exponential Smoothing.
  • Spatiotemporal Modeling: Integrate temporal analysis with geospatial context for richer insights.
  • Use Case: Predict future traffic congestion in a city by analyzing historical traffic data combined with weather patterns over time.

Quick Start

Use the geo-infer-time skill to analyze the time series data from the file 'sensor_readings.csv' to detect trends and seasonality.

Dependency Matrix

Required Modules

numpypandasscipystatsmodels

Components

scriptsreferencesassets

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: geo-infer-time
Download link: https://github.com/ActiveInferenceInstitute/GEO-INFER/archive/main.zip#geo-infer-time

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