https://github.com/sahaavi/canada-lynx-spatial-analysis

Analyzing the spatial patterns of Canada Lynx locations and building a model to predict their location.
https://github.com/sahaavi/canada-lynx-spatial-analysis

covariates data-science spatial spatial-analysis spatial-data spatial-data-analysis spatial-statistics

Last synced: 8 days ago
JSON representation

Analyzing the spatial patterns of Canada Lynx locations and building a model to predict their location.

• Host: GitHub
• URL: https://github.com/sahaavi/canada-lynx-spatial-analysis
• Owner: sahaavi
• License: mit
• Created: 2023-03-31T05:47:00.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-05-01T01:43:48.000Z (over 1 year ago)
• Last Synced: 2024-11-07T00:09:47.638Z (about 2 months ago)
• Topics: covariates, data-science, spatial, spatial-analysis, spatial-data, spatial-data-analysis, spatial-statistics
• Language: HTML
• Homepage: https://sahaavi.github.io/Canada-Lynx-Spatial-Analysis/
• Size: 46 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Canada Lynx Spatial Analysis

[![DOI](https://zenodo.org/badge/DOI/10.15468/dl.zeymyk.svg)](https://doi.org/10.15468/dl.zeymyk)

This project is aimed at analyzing the spatial patterns of Canada Lynx locations and building a model to predict their location based on environmental covariates. The first and second moment descriptives of the Canada Lynx locations were analyzed to understand the spatial patterns. The model was fitted using the inhomogeneous Poisson process approach to predict the intensity of Canada Lynx locations.

[Report](https://github.com/sahaavi/Canada-Lynx-Spatial-Analysis/blob/main/docs/Report.pdf)