Public Data and theirs Mashups
Thursday, March 18th, 2010
Datamob highlights the connection between public data sources and the interfaces people are building for them.
Datamob highlights the connection between public data sources and the interfaces people are building for them.
Natural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110m scales. Featuring tightly integrated vector and raster data, with Natural Earth you can make a variety of visually pleasing, well-crafted maps with cartography or GIS software. Natural Earth Browser here.
Between science and art: Commercial shipping activity can lead to ship strikes of large animals, noise pollution, and a risk of ship groundings or sinkings. Ships from many countries voluntarily participate in collecting meteorological data globally, and therefore also 7 report the location of the ship. We used data collected from 12 months beginning October 2004 (collected as part of the World Meteorological Organization Voluntary Observing Ships Scheme; http://www.vos.noaa.gov/vos_scheme.shtml) as this year had the most ships with vetted protocols and so provides the most representative estimate of global ship locations. The data include unique identifier codes for ships (mobile or a single datum) and stationary buoys and oil platforms (multiple data at a fixed location); we removed all stationary and single point ship data, leaving 1,189,127 mobile ship data points from a total of 3,374 commercial and research vessels, representing roughly 11% of the 30,851 merchant ships >1000 gross tonnage at sea in 2005 (S14). We then connected all mobile ship data to create ship tracks, under the assumption that ships travel in straight lines (a reasonable assumption since ships minimize travel distance in an effort to minimize fuel costs). Finally, we removed any tracks that crossed land (e.g. a single ship that records its location in the Atlantic and the Pacific would have a track connected across North America), buffered the remaining 799,853 line segments to be 1 km wide to account for the width of shipping lanes, summed all buffered line segments to account for overlapping ship tracks, and converted summed ship tracks to raster data. This produced 1 km2 raster cells with values ranging from 0 to 1,158, the maximum number of ship tracks recorded in a single 1 km2 cell.
Because the VOS program is voluntary, much commercial shipping traffic is not captured by these data. Therefore our estimates of the impact of shipping are biased (in an unknown way) to locations and types of ships engaged in the program. In particular, high traffic locations may be strongly underestimated, although the relative impact on these areas versus low-traffic areas appears to be well-captured by the available data (Fig. S2), and areas identified as without shipping may actually have low levels of ship traffic. Furthermore, because ships report their location with varying distance between signals, ship tracks are estimates of the actual shipping route taken.
What happens in the vast stretches of the world’s oceans – both wondrous and worrisome – has too often been out of sight, out of mind. The sea represents the last major scientific frontier on planet earth – a place where expeditions continue to discover not only new species, but even new phyla. The role of these species in the ecosystem, where they sit in the tree of life, and how they respond to environmental changes really do constitute mysteries of the deep. Despite technological advances that now allow people to access, exploit or affect nearly all parts of the ocean, we still understand very little of the ocean’s biodiversity and how it is changing under our influence. The goal of the research presented here is to estimate and visualize, for the first time, the global impact humans are having on the ocean’s ecosystems. Our analysis, published in Science February 15, 2008, shows that over 40% of the world’s oceans are heavily affected by human activities and few if any areas remain untouched.

Unique way of showing the trends of environmental data, either by countries, or by regions. Really neat! Source here and download PDF national here or regional here.
Seeing data in a different way, subregions versus regions, and totals versus per capita. One needs a minute to really get into it, but really attractive, innovative way of displaying these data. Source here and download as PDF here.

Different – innovative and attractive – way of displaying CO2 emission data, as ISO country codes. And very useful to see both per capita and total values displayed next to each other. PDFs available here.
A couple of nice graphics with these statistics I always have to deal with.
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Another nice visualization of assessment data.
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Nice visualization coming out of IUCN, a little bit unexpected to me. Although very visually attractive, one has always to ask if the display achieves what it is supposed to do: bring a message across, show trends, etc.
Another great data explorer tool.
Nice application, with different exploration tools. Dynamic, pop-up, etc. Great!
Famous enough, so I don’t need to write anything….
Nice online application, which allows the user to do some scenario development. Make a change here, and see how it will effect something else.
Having difficulties to import tables from Geonames. So, here how it worked finally:
Create table structure:
CREATE TABLE geoname (
geonameid int,
name varchar(200),
asciiname varchar(200),
alternatenames varchar(4000),
latitude float,
longitude float,
fclass char(1),
fcode varchar(10),
country varchar(2),
cc2 varchar(60),
admin1 varchar(20),
admin2 varchar(80),
admin3 varchar(20),
admin4 varchar(20),
population int,
elevation int,
gtopo30 int,
timezone varchar(40),
moddate date
);
Download allCountries.zip and run in Terminal:
$ psql -e -U USERNAME geodataportal << EOT
> \copy geoname (geonameid, name, asciiname, alternatenames, latitude, longitude, fclass, fcode, country, cc2, admin1, admin2, admin3, admin4, population, elevation, gtopo30, timezone, moddate) from allCountries.txt null as ''
> EOT
PEIR, the Personal Environmental Impact Report, is a new kind of online tool that allows you to use your mobile phone to explore and share how you impact the environment and how the environment impacts you.
What’s unique about PEIR? Taking a step beyond a “footprint calculator” that relies only on your demographics, PEIR uses location data that is regularly and securely uploaded from your mobile phone to create a dynamic and personalized report about your environmental impact and exposure.
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Wilderness? Only 10% of the land area is remote – more than 48 hours from a large city
Concentration & density. 95% of the people live on just 10% of the land
Source