| Title: | Philippine Roll-on/Roll-Off (RoRo) Connectivity and Transport Data |
| Version: | 0.1.1 |
| Description: | Provides the first standardized dataset of the Philippines' Roll-on/Roll-off (RoRo) shipping network, reflecting the 2024-2026 operational state. It digitizes fragmented records from the Maritime Industry Authority (MARINA) and Philippine Ports Authority (PPA) into a unified framework for transport modeling. The package includes 108 bidirectional provincial links across the Western, Central, and Eastern Nautical Highways, complete with GADM-standardized naming, geospatial coordinates, and metrics such as distance, travel time, and vessel frequency. Methodology follows Anselin (1988, ISBN:9024737354) and LeSage and Pace (2009) <doi:10.1201/9781420064254> for spatial weight construction. Data sources include "MARINA Inventory of RoRo Routes" https://marina.gov.ph and "PPA Port Statistics" https://www.ppa.com.ph/ppa_statistics. Designed to support research in economic geography and disaster-response logistics. |
| License: | MIT + file LICENSE |
| URL: | https://github.com/njtalingting/roroph |
| BugReports: | https://github.com/njtalingting/roroph/issues |
| Depends: | R (≥ 3.5.0) |
| Imports: | ArchipelagoEngine, dplyr, ggplot2, sf, spdep |
| Suggests: | knitr, rmarkdown, rnaturalearth, rnaturalearthdata, ggrepel, ggspatial |
| VignetteBuilder: | knitr |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 7.3.3 |
| Language: | en-PH |
| NeedsCompilation: | no |
| Packaged: | 2026-04-09 17:16:41 UTC; Nino Jay Talingting |
| Author: | NJ Talingting 
[aut, cre] |
| Maintainer: | NJ Talingting <ninotalingting77@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2026-04-16 18:20:02 UTC |
Philippine RoRo Connectivity Network
Description
A comprehensive dataset of the Philippine Strong Republic Nautical Highway (SRNH) and Missionary Routes (2024-2026).
Usage
roro_routes
Format
A data frame with 108 rows and 16 variables:
- from_prov
Origin province name, GADM-standardized
- to_prov
Destination province name, GADM-standardized
- route_name
The official name of the ferry connection
- dist_nm
Distance in nautical miles
- avg_time_hrs
Average travel time in hours
- freq_daily
Average daily frequency of trips (The Weight)
- pax_cap
Estimated passenger capacity
- cargo_cap
Estimated truck units (Logistical Flow)
- marina_code
Official MARINA classification code
- highway_type
Western, Central, Eastern, or Missionary
- from_lat
Origin Latitude
- from_lon
Origin Longitude
- from_region
Luzon, Visayas, or Mindanao
- to_lat
Destination Latitude
- to_lon
Destination Longitude
- to_region
Destination Region
Source
Philippine Ports Authority (PPA) and MARINA (2024-2026).
Examples
library(roroph)
library(dplyr)
# Load the network data
data(roro_routes)
# Example 1: Basic Analysis of Connectivity
# Calculate the average passenger capacity per highway system
roro_routes %>%
group_by(highway_type) %>%
summarise(mean_pax = mean(pax_cap, na.rm = TRUE))
# Example 2: Spatial Adjacency Logic (Anselin/LeSage framework)
# Filter for the Western Nautical Highway (WNH) hubs
wnh_hubs <- roro_routes[roro_routes$highway_type == "Western", ]
# Simple validation check of coordinates for spatial weight construction
if (requireNamespace("sf", quietly = TRUE)) {
library(sf)
# Check if coordinates are within the Philippine bounding box
bbox_check <- all(wnh_hubs$from_lat > 4 & wnh_hubs$from_lat < 21)
message("Coordinate validity: ", bbox_check)
}