# Computes monthly and yearly utilized areas and distances walked
homdista(file, tf, crs_epsg, Id_name, perc, parh)

# Generates polygons representing the utilized areas
homekde(file, tf, crs_epsg, Id_name, perc, parh)

# Calculates correlation values and visualizes the relationship between area and distance
hodicor(adista, cormethod)

# Creates line paths to visualize the traveled distances
distwalk(file, tf, crs_epsg, Id_name)

# Converts a data frame into a move object for more detailed movement analysis
moveObject(file, tf, Id_name, crs_epsg)

file          R-imported dataframe which comprises at least three columns: a longitude column labeled "x", 
              a latitude column labeled "y", and a timestamp column labeled "timestamp", in lowercase.

tf            Timestamp format.

crs_epsg      EPSG code related to the dataset coordinates.

Id_name       Column name from dataset which shows different categories (e.g., different groups (group A, 
              group B, group C, ...)).

perc          The percentage utilized to calculate the KDE home range at a specific level (e.g., 50% for 
              core areas, 75%, 90%, 95%, ...).
              
parh          Bandwidth or smoothing parameter.

adista        A layer containing the area and distances values generated from the homdista function.

cormethod     Correlation method between paired samples (pearson", "kendall", or "spearman") at 
              confidence level of 95%.

library(homdista)

## Read the file
file <- read.csv("data.csv", header = T)

## Home range area (with Kernel density estimator) and walked distance calculation
area_distance <- homdista(file ,"%m/%d/%y %I:%M %p", 32734, "Animal", 90, 500)
head(area_distance)

library(homdista)
#Additional libraries
library(sf)
library(mapview)

## Generates polygons representing the utilized areas
homerange <- homekde(file ,"%m/%d/%y %I:%M %p", 32734, "Animal", 90, 500)

# Convert "sp" object to "sf"
Homerange <- st_as_sf(homerange)

# Define a palette for colors
palette <- rainbow(length(unique(Homerange$Id)))

#Create map with mapview
mapview(Homerange, zcol = "Id", col.regions = palette, legend = TRUE, legend.title = "", legend.values = unique(Homerange$Id))

library(homdista)

## Home range area (with Kernel density estimator) and walked distance calculation
area_distance <- homdista(file ,"%m/%d/%y %I:%M %p", 32734, "Animal", 90, 500)

## Correlation values and plot the relationship between area and distance values using spearman method
Correlation <- hodicor(area_distance, "spearman")

Correlation

library(homdista)

#Additional library
library(mapview)

Distance <- distwalk(file, "%m/%d/%y %I:%M %p", 32734, "Animal")

head(Distance)
mapview(Distance, zcol = "Id", col.regions = rainbow(length(unique(Distance$Id))), legend = TRUE, legend.title = " ", legend.values = unique(Distance$Id)))

library(homdista)
Daily_distance <- daytraj(file, "%m/%d/%y %I:%M %p", 32734, "Animal")
head(Daily_distance)

library(homdista)

#Additional libraries
library(sf)
library(mapview)

Move <- moveObject(file, "%m/%d/%y %I:%M %p", "Animal", 32734)

mapview(Move)

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