City lights across the United States blaze 20 to 50 percent more brightly in December than they do the rest of the year, and some cities in the Middle East brighten by more than 50 percent during the Muslim holy month of Ramadan, researchers said.
Visualizing complex survey data is something of an art. If the data has been collected and aggregated to geographic units (say, counties or states), a choropleth is one option. But if the data aren't so neatly arranged, making visual sense often requires some form of smoothing to represent it on a map. R, of course, has a number of features and packages to help you, not least the survey package and the various mapping tools. Swmap (short for "survey-weighted maps") is a collection of R scripts t
GeoEye and the Humanitarian OpenStreetMap Team (HOT) are collaborating to trace new satellite imagery of Salajar Island, Indonesia, an under-mapped area in OpenStreetMap. This is part of HOT’s larger work...
How do you turn Big Data into fast, useful, and interesting visualizations? Using R and technology called Nanocubes. The visualizations are stunning and amazingly reactive. Almost as interesting as the technologies behind them.
The study also presents the first ever global field size map—an important proxy for mechanization and human development. This map was based entirely on crowdsourced data collected through IIASA’s Geo-Wiki project, a crowdsourcing initiative that relies on a global network of citizen scientists, who have looked at thousands of high-resolution images of land cover to determine whether cropland was present or not.
The National Geospatial-Intelligence Agency (NGA) recently released an application that will allow the public to benefit from the agency’s collaboration with DigitalGlobe on a project that simplifies and economizes the storage and processing of large-scale raster data, reducing the time it takes analysts to search, download, preprocess and format data for analysis.
MapReduce Geo, or MrGeo, is a geospatial toolkit designed to provide raster-based geospatial capabilities performable at scale by leveraging the power and functionality of cloud-based architecture.
Releasing MrGeo helps further the agency’s goal of increasing and streamlining co-creation efforts in software and unclassified data, said Rasmussen. Sharing the application with the open source community helps accelerate its potential to become the standard for storing, enriching and analyzing massive amounts of raster data in a distributed cloud environment.
Dahl Winters's insight:
Great application applying MapReduce to help scale geospatial image processing. Open-sourced on Github.
The US Geological Survey (USGS) and Esri are pleased to announce the publication of the most detailed global ecological land units map in the world. This exciting new global data set provides a science platform for better understanding and accounting of the world’s resources. Scientists, land managers, conservationists, developers, and the public will use this map to improve regional, national, and global resource management, planning, and decision making.
Analysis of Big Data in a geographic context has empowered organizations and businesses faced with huge amount of data and diverse technologies. The integration of maps with multiple layers of information tells the full story behind the data.
The maps Google is currently highlighting in the Gallery range from land use zoning in San Jose and a U.S. Civil War Map from the National Geographic Society to National Parks maps and data about fast food chains in the ...
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