People, Planet, Prosperity Pilot Country Data Package - Philippines - Dataset

Field	Value
Author	Natural Capital Alliance, Stanford University
Tags	ADB FLICKR INVEST INPUT INVEST OUTPUT PHOTO-USER-DAYS REGIONAL FLYWAY INITIATIVE VISITATION WATERSHED WETLAND
Places	PHILIPPINES
Last Updated	January 8, 2026, 23:43 (UTC)
Created	November 20, 2025, 01:00 (UTC)
Natcap Last Updated	2026-01-08T23:43:22.085223+00:00

Cite this dataset

Embed this layer into your website

<div id="map" style="width: 100%; height: 400px;"></div>

<link rel="stylesheet" href="https://unpkg.com/leaflet@1.9.4/dist/leaflet.css" integrity="sha256-p4NxAoJBhIIN+hmNHrzRCf9tD/miZyoHS5obTRR9BMY=" crossorigin="" />
<script src="https://unpkg.com/leaflet@1.9.4/dist/leaflet.js" integrity="sha256-20nQCchB9co0qIjJZRGuk2/Z9VM+kNiyxNV1lvTlZBo=" crossorigin=""></script>
<script>
  var map = L.map('map').setView([0, 0], 4);

  L.tileLayer('https://tile.openstreetmap.org/{z}/{x}/{y}.png', {
    attribution: '&copy; <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors'
  }).addTo(map);

const addEEZPHI32651shp = async () => {
  const r = await fetch('https://data.naturalcapitalalliance.stanford.edu/download/natcap-projects/PeoplePlanetProsperity_Country_Data/Philippines/Philippines_3Ps_data_pkg/1_model_inputs/EEZ_PHI_32651/EEZ_PHI_32651.mvt');
  const geojson = await r.json();
  L.geoJson(geojson).addTo(map);
};

addEEZPHI32651shp();
const addPHI11RFIsites1kmbuffershp = async () => {
  const r = await fetch('https://data.naturalcapitalalliance.stanford.edu/download/natcap-projects/PeoplePlanetProsperity_Country_Data/Philippines/Philippines_3Ps_data_pkg/1_model_inputs/PHI_11_RFI_sites_1km_buffer/PHI_11_RFI_sites_1km_buffer.mvt');
  const geojson = await r.json();
  L.geoJson(geojson).addTo(map);
};

addPHI11RFIsites1kmbuffershp();
const addpudresultsPHI11RFIsites1kmbuffer1kmHEX20052017shp = async () => {
  const r = await fetch('https://data.naturalcapitalalliance.stanford.edu/download/natcap-projects/PeoplePlanetProsperity_Country_Data/Philippines/Philippines_3Ps_data_pkg/2_model_outputs/pud_results_PHI_11_RFI_sites_1km_buffer_1kmHEX_2005_2017/pud_results_PHI_11_RFI_sites_1km_buffer_1kmHEX_2005_2017.mvt');
  const geojson = await r.json();
  L.geoJson(geojson).addTo(map);
};

addpudresultsPHI11RFIsites1kmbuffer1kmHEX20052017shp();
const addpudresultscountrywide05022023shp = async () => {
  const r = await fetch('https://data.naturalcapitalalliance.stanford.edu/download/natcap-projects/PeoplePlanetProsperity_Country_Data/Philippines/Philippines_3Ps_data_pkg/2_model_outputs/pud_results_country_wide_05022023/pud_results_country_wide_05022023.mvt');
  const geojson = await r.json();
  L.geoJson(geojson).addTo(map);
};

addpudresultscountrywide05022023shp();
const addADBRFIsitesPHIshp = async () => {
  const r = await fetch('https://data.naturalcapitalalliance.stanford.edu/download/natcap-projects/PeoplePlanetProsperity_Country_Data/Philippines/Philippines_3Ps_data_pkg/ADB_RFI_sites_PHI/ADB_RFI_sites_PHI.mvt');
  const geojson = await r.json();
  L.geoJson(geojson).addTo(map);
};

addADBRFIsitesPHIshp();
</script>

Use this data in Python

from osgeo import gdal

vector = gdal.OpenEx('/vsicurl/https://data.naturalcapitalalliance.stanford.edu/download/natcap-projects/PeoplePlanetProsperity_Country_Data/Philippines/Philippines_3Ps_data_pkg/1_model_inputs/EEZ_PHI_32651/EEZ_PHI_32651.mvt')
layer = vector.GetLayer()
for feature in layer:
    geometry = feature.GetGeometryRef()
    print(geometry.ExportToWkt())


# Geopandas example
import geopandas

gdf = geopandas.read_file('https://data.naturalcapitalalliance.stanford.edu/download/natcap-projects/PeoplePlanetProsperity_Country_Data/Philippines/Philippines_3Ps_data_pkg/1_model_inputs/EEZ_PHI_32651/EEZ_PHI_32651.mvt')