| Type: | Package |
| Title: | Rangeland Health and Condition |
| Version: | 0.1.0 |
| Maintainer: | Zahra Heidari Ghahfarrokhi <z.heidari.gh@gmail.com> |
| Description: | The evaluation criteria of rangeland health, condition and landscape function analysis based on species diversity and functional diversity of rangeland plant communities. |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| Depends: | R (≥ 3.5.0), permute, lattice, ade4, geometry |
| Imports: | vegan, FD, randomForest, stats, ggplot2, gridExtra |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 7.3.2 |
| NeedsCompilation: | no |
| Packaged: | 2025-03-03 19:23:32 UTC; sana |
| Author: | Zahra Heidari Ghahfarrokhi
 [aut, cre],
Pejman Tahmasebi [aut],
Ali Asghar Naghipour [aut] |
| Repository: | CRAN |
| Date/Publication: | 2025-03-05 13:30:10 UTC |
Rangeland Health, Condition
Description
This function calculates attributes of landscape function analysis (LFA), rangeland health and condition.
Usage
RHC_function(final_data_st)
Arguments
final_data_st |
A data frame containing standardized data from the first function. |
Details
The function takes standardized data, performs predictions using pre-trained models, and returns the results.
Value
The attributes of landscape function analysis (LFA), rangeland health and condition.
Examples
data(canopy_oc_file)
data(trait_file)
final_data_st <- prepare_RHC_data(canopy_oc_file, trait_file)
evaluation.criteria <- RHC_function(final_data_st)
Canopy - oc Data
Description
A dataset containing canopy cover information.
Usage
data(canopy_oc_file)
Create Evaluation Criteria Plots
Description
This function creates plots to compare evaluation criteria of landscape function analysis (LFA), rangeland health and condition.
Usage
plot_RHC(evaluation.criteria, selected_columns = NULL, ncol = 4)
Arguments
evaluation.criteria |
A data frame containing standardized data from the first function. |
selected_columns |
A vector of column indices specifying which criteria to plot. If NULL, all columns will be plotted. |
ncol |
Number of columns for arranging the plots. Default is 4. |
plot_RHC |
A function that takes standardized data and generates evaluation plots for different criteria of landscape function analysis (LFA), rangeland health and condition. |
Details
The function takes the output from RHC_function and creates evaluation plots for different criteria.
Value
A list of evaluation criteria(attributes) plots.
Examples
data(canopy_oc_file)
data(trait_file)
final_data_st <- prepare_RHC_data(canopy_oc_file, trait_file)
evaluation.criteria <- RHC_function(final_data_st)
# Plot all columns
plots_all <- plot_RHC(evaluation.criteria, ncol = 4)
# Plot specific columns
selected_columns <- c(4, 8)
plots_selected <- plot_RHC(evaluation.criteria, selected_columns, ncol = 2)
Plot Samples
Description
This function creates graphs for the inputs of the RHC_function model.
Arguments
final_data_st |
A data frame containing standardized data from the first function. |
row_indices |
A vector of row indices specifying which rows to use for creating sample plots. |
plot_title_prefix |
A prefix for the plot titles (default is "Sample"). |
ncol |
Number of columns for arranging the plots. Default is 3. |
Details
The function takes input data and specific row indices, creates sample charts, and returns the plots.
Value
A list of sample charts.
Examples
data(canopy_oc_file)
data(trait_file)
final_data_st <- prepare_RHC_data(canopy_oc_file, trait_file)
row_indices <- 1:17
plots.samples <- plot_samples(final_data_st, row_indices, plot_title_prefix = "Sample", ncol = 3)
Prepare Input Data
Description
This function prepares input data for the evaluation criteria of landscape function analysis (LFA), rangeland health and condition.
Usage
prepare_RHC_data(canopy_oc_file, trait_file)
Arguments
canopy_oc_file |
A data frame containing canopy cover and soil organic carbon data. |
trait_file |
A data frame containing plant species trait data. |
Details
The function takes canopy cover, soil organic carbon (OC), and plant species trait data, and returns standardized data.
Note: The first row of the input data matrix (canopy_oc_file) must be the reference sample, and the second column must contain the OC data, and the canopy cover must be entered as a relative value.
Value
A standardized data frame for further analysis using Min-Max Normalization.
Examples
data(canopy_oc_file)
data(trait_file)
final_data_st <- prepare_RHC_data(canopy_oc_file, trait_file)
Trait Data
Description
A dataset containing trait information.
Usage
data(trait_file)