Skip to content

heleavitt/habitat_scale_analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

habitat_scale_analysis Author: Herbert Leavitt Last Updated: 6/3/2025

Overview: This repository contains exemplar datasets and code for analyzing the relationship between habitat structure and species abundance across multiple spatial scales in a rapidly changing estuarine environment near Port Fourchon, Louisiana. Due to file size limitations on GitHub, this repository is designed to show examples of data inputs and produces, but does not contain the complete workflow. The complete dataset is available on BCODMO at: DOI:10.26008/1912/bco-dmo.948167.1

Repository Structure:

  • landscape_analysis/: Scripts and data related to landscape-level habitat analysis. Note that these analyses must be run on a high performance computing cluster. Bash code is SLURM submission script to the cluster that identifies code to be run and assigns resources to the job.
  • species_analysis/: Scripts and data focused on species abundance and distribution analysis.
  • .gitignore: Specifies files and directories to be ignored by Git.

Usage:

  1. Clone the repository: git clone https://github.com/heleavitt/habitat_scale_analysis.git

  2. Navigate to the cloned directory: cd habitat_scale_analysis

  3. Explore the landscape_analysis and species_analysis directories for relevant scripts and data.

Requirements:

Python Packages:

  • geopandas
  • pandas
  • numpy
  • shapely
  • pathlib
  • gc
  • concurrent.futures
  • glob
  • os

R Environment: This analysis was performed using R version 4.3.2

R Packages (attached or used directly):

  • mgcv_1.9-0
  • nlme_3.1-163
  • gam_1.22-4
  • foreach_1.5.2
  • spdep_1.3-5
  • sf_1.0-16
  • spData_2.3.1
  • lubridate_1.9.3
  • forcats_1.0.0
  • stringr_1.5.1
  • dplyr_1.1.4
  • purrr_1.0.2
  • readr_2.1.4
  • tidyr_1.3.0
  • tibble_3.2.1
  • ggplot2_3.5.1
  • tidyverse_2.0.0
  • scales_1.3.0
  • statmod_1.5.0
  • pscl_1.5.9

R Packages (loaded via namespace only):

  • gtable_0.3.4
  • lattice_0.21-9
  • tzdb_0.4.0
  • vctrs_0.6.5
  • tools_4.3.2
  • generics_0.1.3
  • proxy_0.4-27
  • fansi_1.0.5
  • pkgconfig_2.0.3
  • Matrix_1.6-1.1
  • KernSmooth_2.23-22
  • lifecycle_1.0.4
  • compiler_4.3.2
  • farver_2.1.1
  • deldir_2.0-4
  • munsell_0.5.0
  • codetools_0.2-19
  • class_7.3-22
  • pillar_1.9.0
  • crayon_1.5.2
  • MASS_7.3-60
  • classInt_0.4-10
  • wk_0.9.1
  • iterators_1.0.14
  • boot_1.3-28.1
  • tidyselect_1.2.1
  • stringi_1.8.2
  • labeling_0.4.3
  • grid_4.3.2
  • colorspace_2.1-0
  • cli_3.6.1
  • magrittr_2.0.3
  • utf8_1.2.4
  • e1071_1.7-14
  • withr_3.0.2
  • sp_2.1-3
  • timechange_0.2.0
  • hms_1.1.3
  • viridisLite_0.4.2
  • s2_1.1.6
  • rlang_1.1.2
  • Rcpp_1.0.11
  • glue_1.6.2
  • DBI_1.1.3
  • rstudioapi_0.15.0
  • R6_2.5.1
  • units_0.8-5

Contact: For questions or collaboration inquiries, please contact Herbert Leavitt.

About

This dataset and code form part of a broader analysis aimed at evaluating the relationship between habitat structure and species abundance across multiple spatial scales in a rapidly changing estuarine environment near Port Fourchon, Louisiana. The complete repository is available at doi:10.26008/1912/bco-dmo.948167.1

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors