Extracted from PODES 2014, data represents population by sex and age group in Daerah Istimewa Yogyakarta (DIY) Province. The Village Potential Statistics (PODES) from the statistic bureau (BPS/Badan Pusat Statistik) is a complete enumeration of village/desa characteristics for all of Indonesia, with a sample of +/- 65,000. It could provide information on population and distribution, land uses, industrial development corridors, and other economic activities.

Model estimation of average wind vector at 10 m above the ground. In most cases, actual observation of wind velocity at 10 m above ground is a little bit lower than modeled one. This visualization of wind direction in near-real time combines the visualization of wind direction data from the Global Forecast System (GFS) spectral model: http://nomads.ncep.noaa.gov GFS_high_resolution_doc.shtml as well as code developed by Cameron Beccario, to create a visualization by interpolating wind direction between measurements. The wind direction visualization utilizes data from the NOAA National Operational Model Archive & Distribution System, which may be accessed at http://nomads.ncep.noaa.gov hires_weather_datasets. Wind direction data are collected by satellite 4 times per day.

List of Indonesia navigational beacons or DSI (Daftar Suar Indonesia) based on BPI (Berita Pelaut Indonesia) document. BPI (Berita Pelaut Indonesia) or Indonesian Notices to Mariners (ID-NM) is prepared and broadcasted weekly by Indonesian Navy HydroOceanographic Services (Dishidros). The sailors strongly requested to notify immediately to the Dishidros on the discovery of new hazards of shipping, changes or defects, in aids to navigation and of shortcomings in Indonesian nautical charts and other publications.

This demo utilizes a single data snapshot from ESRI GeoEvent Extension (Flight Aware Connector). For each update interval (2.5s), each flight position is then estimated using current speed and bearing (azimuth angle) to its flight destination airport.
For deployment, these variables should be coming and updated regularly from terminal i.e: network of ADS-B receivers such as data stream from Flightradar24. This data stream provides a real-time feed of flight positions, flight status, ground data, combined from several data sources including Automatic Dependent Surveillance-Broadcast (ADS-B), MLAT and radar data around the world.