science

Metrics to Measure Open Geospatial Data Quality

While cleaning up old emails I ended up on this scientific article named Metrics to Measure Open Geospatial Data Quality published last year by Jingfeng Xia. Data quality is a topic we discussed before.

From the conclusion: "Because of the uniqueness and complexity of geospatial data, quality control is always a challenge to data providers, managers, analysts and data service providers. Metrics developed to measure data quality need to reflect the nature of the data, and therefore must be diversely structured to handle maps, coordinates, attributes and other types of geospatial data. A list of dimensions with clear and accurate definitions will provide necessary standards for the measurement. When the practice of open access is also considered, several more layers of complexity are added and additional tasks are created to solve issues pertaining to web communication, data usability, data integrity and related issues. Both quantitative metrics based on objective measurement and qualitative metrics based on subjective measurement are essential to the quality control of geospatial data."

When Political Mapping Leaks Into Science Research

On Slashdot, an anonymous reader writes "Political and territorial disputes have been leaking to scientific venues like Nature, Science and Climatic Change. Many recent scientific papers submitted to these journals promote the highly disputed Chinese U-shaped line. One of the authors refused to change her map after being requested by the journals, stating that that her published map was requested by the Chinese government. This practice was condemned by Nature in its latest editorial, which asserts that political maps that seek to advance disputed territorial claims have no place in scientific papers."

Citation Map Shows Top Science Cities

Slashdot discusses a story named Citation Map Shows Top Science Cities.

Their summary: "Which cities around the world produce not just the most but the best scientific papers? Using a database and Google Maps the answer is obvious. A paper at Physics arXiv describes how two researchers combined citation data with Google Maps to create a plot showing how important cities around the world were in terms of their contribution to physics, chemistry or psychology."

$30 GPS Jammer Can Wreak Havok

Currently in discussion on slashdot, here is their summary : "A simple $30 GPS jammer made in China can ruin your day. It doesn't just affect your car's navigation — ATM machines, cell phone towers, plane, boat, train navigation systems all depend upon GPS signals that are easily blocked. These devices fail badly — with no redundancy. These jammers can be used to defeat vehicle tracking products — but end up causing a moving cloud of chaos. The next wave of anti-GPS devices include GPS spoofers to trick or confuse nearby devices."

Introducing the Google Earth Engine

Earlier today Google introduced the Google Earth Engine: "Google Earth Engine is a new technology platform that puts an unprecedented amount of satellite imagery and data—current and historical—online for the first time. It enables global-scale monitoring and measurement of changes in the earth’s environment. The platform will enable scientists to use our extensive computing infrastructure—the Google “cloud”—to analyze this imagery. [...]

Now, scientists will be able to build applications to mine this treasure trove of data on Google Earth Engine, providing several advantages:

  • Landsat satellite data archives over the last 25 years for most of the developing world available online, ready to be used together with other datasets including MODIS. And we will soon offer a complete global archive of Landsat.
  • Reduced time to do analyses, using Google’s computing infrastructure. By running analyses across thousands of computers, for example, unthinkable tasks are now possible for the first time.
  • New features that will make analysis easier, such as tools that pre-process the images to remove clouds and haze.
  • Collaboration and standardization by creating a common platform for global data analysis.

[...] As we fully develop the platform, we hope more scientists will use new Earth Engine API to integrate their applications online—for deforestation, disease mitigation, disaster response, water resource mapping and other beneficial uses. If you’re interested in partnering with us, we want to hear from you—visit our website!"

We mentioned last April that the Google Earth Engine was coming.

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