K9 analysis

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Overview

A Python package for analyzing K9 detection dog data in conservation projects, specifically designed for monitoring and protecting endangered species through canine-assisted surveys. This tool supports ecological modeling and decision-making by processing detection data from trained conservation dogs.

Features

Nest Detection Analysis: Count and summarize burrow/nest detections by K9 units across different time periods
Effort and Distance Tracking: Analyze survey effort metrics including time and distance covered by detection teams
Data Filtering: Filter detection records by date ranges, K9 unit names, and detection types
Summary Reports: Generate CSV and JSON reports for conservation monitoring
CLI Interface: Command-line tools for automated data processing workflows

Applications

This package is used for conservation efforts on Guadalupe Island and similar ecological projects where trained detection dogs help locate and monitor species nests, providing reliable data for conservation decision-making and population studies.

Installation

pip install k9_analysis

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k9_analysis-0.6.2.tar.gz (15.2 kB view details)

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Provenance

The following attestation bundles were made for k9_analysis-0.6.2.tar.gz:

Publisher: develop.yml on IslasGECI/k9_analysis

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Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: k9_analysis-0.6.2.tar.gz
- Subject digest: 3ec577d614110aae7a9d51cccc51a5e25a09941c9ba485633dbbf37969f98d3f
- Sigstore transparency entry: 2238738480
- Sigstore integration time: Jul 24, 2026
Source repository:
- Permalink: IslasGECI/k9_analysis@c4fe862f0d17ee745da325ea0431646f2fe58127
- Branch / Tag: refs/heads/develop
- Owner: https://github.com/IslasGECI
- Access: public
Publication detail:
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- Runner Environment: github-hosted
- Publication workflow: develop.yml@c4fe862f0d17ee745da325ea0431646f2fe58127
- Trigger Event: push