Kartograph.org AstroViewer - Current position of the ISS Polymaps DocumentCloud Geograph’s Quixotic Effort To Get Photos Of Every Square Kilometer Of Great Britain And Ireland | FiveThirtyEight Want to know what a website looked like in the past — say, this one at its March relaunch? The Internet Archive has you covered. But there’s no Wayback Machine for the world, and how it looked. There is, however, one for the British Isles. Geograph was started by geography enthusiasts, sponsored by the government, rescued from a chaotic collapse by its devoted contributors and populated with millions of photos from thousands of people around the island nations it covers. Smartphone and digital-camera owners are collectively carrying out a worldwide data-collection task: photographing every nook and cranny of the world. Snapping pictures is the easy and fun part. Geograph solved that problem by turning photography into a game: She who collects the most photos of unphotographed places wins. Not all the photos are beautiful, nor are all the subjects. Niche appeal The site has never had an enormous following. His photos often strike a chord thousands of miles away, he said. A walk in London
Fire Data in Google Earth KML Access:The links below provide access to several geospatial datasets relevant to fire management in Keyhole Markup Language (KML/KMZ) format for use in Google Earth and other virtual globe applications. Geospatial data are organized by specified geographic region and include location and characterization of satellite fire detections, current large incident locations and NWS fire weather forecasts. All KMLs update automatically to ensure availability of the latest information (Current link). Animatated time series KMLs are provided for the latest updates of each of the fire detection data layers (Animation link). Access to KMLs for previous dates are provided for relevant data layers (Historic link). KML Descriptions: Fire Detections - MODIS (1km), VIIRS (375m and 750m), Landsat 8 (30m), AVHRR (1km) and GOES (4km) fire detections by time/date of occurrence within the last 6, 12 and 24 hours, and the 6 days previous to the last 24-hour period.
Source Code & Tutorials Recently, I have released source code for a number of projects. In most cases these projects are released as they were published – while the code is reasonably well-commented, the projects weren’t build specifically to be released and thus may not be shining examples of standards and software architecture. That said, I hope that these releases will serve as inspiration for you to make some things of your own. If you do end up building something interesting, please let me know. Source Code Processing Kepler Visualization[post][GitHub]tree.gowth [post][project][download]GoodMorning! ActionScript 2 Variance [post][project][download]smart.rockets [post][project][download]Particle Swarm Optimization [download] Except where otherwise noted, all source releases are licensed under the CC-GNU GPL version 2.0 or later. Tutorials In addition to source releases, I have also written a number of tutorials designed to help people learn how to use code in a creative context.
TheWebMiner This interactive map projects the spread of a zombie apocalypse Shows like The Walking Dead are great at presenting the overall environment of a zombie apocalypse, but rarely do they convey just how fast an end-of-days contagion would move. A pair of Cornell University grad students took it upon themselves to figure that part out, and now they've created an interactive map that shows you how long it would take for the shuffling undead to reach your front door. Zombie-Town USA Mike Wehner Zombie-Town USA is extremely easy to use. Alexander Alemi and Matthew Bierbaum, the Cornell grad students, built the map using the most recent census data, down to each individual city block, in order to present the most realistic possible scenarios. Alemi and Bierbaum, along with professors Christopher Myers and James Sethna, have authored a lengthy paper on the creation of the map and the complex algorithms that run it. Photo via Zombie-Town USA
Fire Detection GIS Data MODIS Fire Detection GIS Data: MODIS fire detection data for the current year are compiled Terra and Aqua MODIS fire and thermal anomalies data generated from MODIS near real-time direct readout data acquired by the USDA Forest Service Remote Sensing Applications Center, University of Wisconsin Space Science and Engineering Center, University of Alaska-Fairbanks Geographic Information Network of Alaska, the NASA Goddard Space Flight Center Direct Readout Laboratory, and NASA Goddard Space Flight Center MODIS Rapid Response System. These data are provided as the centroids of the 1km fire detections and are a composite dataset compiled from the listed sources. MODIS fire detection data for years 2000 to 2009 are Terra and Aqua MODIS fire and thermal anomalies data from the official NASA MCD14ML product, Collection 5, Version 1. These data are provided as the centroids of the 1km fire detections. GIS data provided in ESRI shapefile, coverage and geodatabase formats.
Geocoding a Location Geocoding using the Search Manager Class To geocode and reverse-geocode locations, you can use the geocode and reversegeocode methods in the SearchManager Class class. The class reference page provides sample code to show you how. Alternative: Geocoding using the Bing Maps REST Services For most scenarios, you can use the geocode and reversegeocode methods in the SearchManager Class class to geocode and reverse-geocode locations. The following sections show how to create an AJAX V7 map session that geocodes a location and displays it on a map using the REST Services. Note that the example code uses a session ID instead of a Bing Maps Key to make requests. Initialize the Map Before you add geocoding functionality, initialize the map using the following code. Add Controls For this sample, add a text box and a Geocode button. Since the Bing Maps REST Services also require a Bing Maps Key, you need to first retrieve the key from the map object to ensure the session is valid. Display the Results