GithubHelp home page GithubHelp logo

rp016's Introduction

Reproduction Package Eurodeer paper n. 016

Datasets and analysis scripts of Salvatori, De Groeve et al. (2022).

Directory Structure

The repository contains the following files and directories:

file(s)/directories description
./code/0_data_preparation.sql SQL-query extracting the raw data from the eurodeer database
./code/0_data_preparation.R preparation of gps_data/kde_data: calculation of HRs & intersection of GPS/KDE with TCD/CLC
./code/1_mismatch_and_modelling.Rmd CLC/TCD mismatch analysis and statistical modelling of day-night forest use in roe and red deer
./code/2_patchsize.Rmd patch size analysis
./code/3_validation_gps.Rmd Validation confusion matrices of mismatching GPS location
./code/fncs/ functions used in step 1, 2, 3
./data/raw/gps/ RDS; raw gps data of roe and red deer as extracted from the eurodeer database
./data/raw/rasters/ TIF; study area extracts of TCD and CLC rasters
./data/1_analysis/ CSV; absolute and proportion of forest and open habitat calculated for GPS/KDE with TCD/CLC
./data/2_patchsize/ CSV; GPS locations with patch sizes
./data/3_validation_gps/ CSV; 100 random gps locations per population, validated using a satellite layer as ground truth
./code/results/ DIR; empty directory to store outputs

Directory tree

. 
├── README.md
├── RP016.Rproj
├── code
│   ├── 0_data_preparation.R
│   ├── 0_data_preparation.sql
│   ├── 1_mismatch_and_modelling.R
│   ├── 2_patchsize.Rmd
│   ├── 2_patchsize.html
│   ├── 3_validation_gps.Rmd
│   ├── 3_validation_gps.html
│   └── fncs
│       ├── 00_basic.R
│       ├── 01_compute_kde.R
│       ├── 02_reclass_rast.R
│       ├── 03_intersect_rast_gps.R
│       ├── 04_intersect_rast_kde.R
│       ├── 11_boxplot_mismatch.R
│       ├── 11_confusion_scheme.R
│       ├── 11_forest_proportion_barboxplot.R
│       ├── 11_model_selection.R
│       ├── 11_plot_predictions.R
│       ├── 11_proportion_plot.R
│       └── 21_patch_statistics.R
├── data
│   ├── 1_mismatch_and_modelling
│   │   ├── gps_data.csv
│   │   ├── gps_for_model.csv
│   │   ├── kde_data.csv
│   │   └── kde_for_model.csv
│   ├── 2_patchsize
│   │   ├── red.csv
│   │   └── roe.csv
│   ├── 3_validation_gps
│   │   ├── red.csv
│   │   └── roe.csv
│   └── raw
│       ├── gps
│       │   ├── red_rds
│       │   └── roe_rds
│       └── rasters
│           ├── red_raster_clc_population_14.tif
│           ├── red_raster_clc_population_17.tif
│           ├── red_raster_clc_population_21.tif
│           ├── red_raster_clc_population_3.tif
│           ├── red_raster_clc_population_8.tif
│           ├── red_raster_tcd_population_14.tif
│           ├── red_raster_tcd_population_17.tif
│           ├── red_raster_tcd_population_21.tif
│           ├── red_raster_tcd_population_3.tif
│           ├── red_raster_tcd_population_8.tif
│           ├── roe_raster_clc_population_1.tif
│           ├── roe_raster_clc_population_15.tif
│           ├── roe_raster_clc_population_2.tif
│           ├── roe_raster_clc_population_25.tif
│           ├── roe_raster_clc_population_8.tif
│           ├── roe_raster_tcd_population_1.tif
│           ├── roe_raster_tcd_population_15.tif
│           ├── roe_raster_tcd_population_2.tif
│           ├── roe_raster_tcd_population_25.tif
│           └── roe_raster_tcd_population_8.tif
└── results

References

Salvatori M, De Groeve J, van Loon E, De Baets B, Morellet N, Focardi S, Bonnot NC, Gehr B, Griggio M, Heurich M, Kroeschel M, Licoppe A, Moorcroft PRM, Pedrotti L, Signer J, Van de Weghe N, & Cagnacci F (2022) Day versus night use of forest by red and roe deer as determined by Corine Land Cover and Copernicus Tree Cover Density: assessing use of geographic layers in movement ecology. Landscape Ecology, 37: 1453-1468

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.