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	<title>Travel &#8211; Worldmapper</title>
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	<link>https://worldmapper.org</link>
	<description>the world as you&#039;ve never seen it before</description>
	<lastBuildDate>Thu, 06 Feb 2020 11:36:53 +0000</lastBuildDate>
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		<title>Air traffic Accidents 1972 to 2017</title>
		<link>https://worldmapper.org/maps/airtraffic-accidents-1972to2017/</link>
					<comments>https://worldmapper.org/maps/airtraffic-accidents-1972to2017/#respond</comments>
		
		<dc:creator><![CDATA[tina-gotthardt]]></dc:creator>
		<pubDate>Thu, 02 Jan 2020 19:07:29 +0000</pubDate>
				<guid isPermaLink="false">https://worldmapper.org/?post_type=product&#038;p=7856</guid>

					<description><![CDATA[Most accidents -by far- have been recorded on territory of the United States of America, followed by India, Brazil and Indonesia.

United States and India are also leading the list with the most fatalities caused by these accidents, followed by Spain, Indonesia, Japan, Taiwan and Russia.]]></description>
										<content:encoded><![CDATA[<p><strong>This map shows the relative proportion of civil air traffic accidents  having pulled a plane destruction between 1972 and 2017.</strong></p>
<p><em>Data sources<br />
</em>This map uses data by <a href="http://www.airfleets.net/crash/stat_country.htm" target="_blank" rel="noopener noreferrer">Airfleets.Net</a> (last accessed March 2018). We aim to map as complete data as possible and therefore estimate data for missing values. In some cases, missing data for very small territories is not used in the cartogram and that area is therefore omitted in the map.</p>
<p>The data included all the plane accidents having pulled a plane destruction. Only accidents occurred on an Airfleets supported aircraft are recorded</p>
<p>Further notes on the data, as well as all modifications to the original data source are noted in our data sheets.</p>
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		<title>Air traffic Fatalities 1972 to 2017</title>
		<link>https://worldmapper.org/maps/airtraffic-fatalities-1972to2017/</link>
					<comments>https://worldmapper.org/maps/airtraffic-fatalities-1972to2017/#respond</comments>
		
		<dc:creator><![CDATA[tina-gotthardt]]></dc:creator>
		<pubDate>Fri, 26 Oct 2018 18:34:35 +0000</pubDate>
				<guid isPermaLink="false">https://worldmapper.org/?post_type=product&#038;p=7859</guid>

					<description><![CDATA[Most accidents -by far- have been recorded on territory of the United States of America, followed by India, Brazil and Indonesia.

United States and India are also leading the list with the most fatalities caused by these accidents, followed by Spain, Indonesia, Japan, Taiwan and Russia.]]></description>
										<content:encoded><![CDATA[<p><strong>This map shows the relative proportion of fatalities during plane accidents that have pulled a plane destruction</strong></p>
<p><em>Data sources<br />
</em>This map uses data by <a href="http://www.airfleets.net/crash/stat_country.htm" target="_blank" rel="noopener noreferrer">Airfleets.Net</a> (last accessed March 2018). We aim to map as complete data as possible and therefore estimate data for missing values. In some cases, missing data for very small territories is not used in the cartogram and that area is therefore omitted in the map.</p>
<p>The data included all the plane accidents having pulled a plane destruction. Only accidents occurred on an Airfleets supported aircraft are recorded</p>
<p>Further notes on the data, as well as all modifications to the original data source are noted in our data sheets.</p>
]]></content:encoded>
					
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		<item>
		<title>Tourists 2015</title>
		<link>https://worldmapper.org/maps/tourists-2015/</link>
					<comments>https://worldmapper.org/maps/tourists-2015/#respond</comments>
		
		<dc:creator><![CDATA[tina-gotthardt]]></dc:creator>
		<pubDate>Wed, 04 Apr 2018 18:57:43 +0000</pubDate>
				<guid isPermaLink="false">https://worldmapper.org/?post_type=product&#038;p=7881</guid>

					<description><![CDATA["The number of international tourist arrivals (overnight visitors) in 2015 reached a total of 1186 million, an increase of 52 million over the previous year. (...) Demand was robust overall, although results were more mixed than usual across destinations. Three major factors influenced tourism flows in 2015: the unusually strong exchange rate fluctuations, the decline in the price of oil and other commodities which increased disposable income in importing countries but weakened tourism demand in exporting countries, as well as increased global concern about safety and security.
By UNWTO region, the Americas and Asia and the Pacific both recorded close to 6% growth in international tourist arrivals, with Europe recording 5%. Arrivals in the Middle East increased by 2%, while in Africa comparatively limited data points to an estimated 3% decline, mostly due to the weak results in North Africa. By subregion, the best results were recorded by SouthEast Asia (+8%), Oceania, the Caribbean, Central America and Northern Europe (all +7%), followed by North America and South America (both +6%)." (Quoted from the <a href="https://www.e-unwto.org/doi/pdf/10.18111/9789284418145" target="_blank" rel="noopener noreferrer">World Tourism Barometer</a> 2016)]]></description>
										<content:encoded><![CDATA[<p><strong>This map shows the proportion of world international touristic visitors to that territory in 2015.</strong></p>
<p><em>Data sources<br />
</em>This map uses data by <a href="http://mkt.unwto.org/barometer" target="_blank" rel="noopener noreferrer">UNWTO</a> (last accessed March 2018). We aim to map as complete data as possible and therefore estimate data for missing values. In some cases, missing data for very small territories is not used in the cartogram and that area is therefore omitted in the map.</p>
<p>Further notes on the data, as well as all modifications to the original data source are noted in our data sheets.</p>
]]></content:encoded>
					
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			</item>
		<item>
		<title>Global remoteness</title>
		<link>https://worldmapper.org/maps/grid-remoteness-2009/</link>
					<comments>https://worldmapper.org/maps/grid-remoteness-2009/#respond</comments>
		
		<dc:creator><![CDATA[Worldmapper]]></dc:creator>
		<pubDate>Tue, 03 Apr 2018 10:21:22 +0000</pubDate>
				<guid isPermaLink="false">https://worldmapper.org/?post_type=product&#038;p=7964</guid>

					<description><![CDATA[Wilderness and remote areas are a diverse element in the patchwork of spaces that form the land surface of our planet. Only very small amounts of people are living in sparsely populated areas, which is an expression of the strong organisation of human societies to maximise those living in close relative proximity. More than half of the world’s population now lives in areas categorised as cities, and although more than 95% of the world’s population live in approximately only 10% of the land area, the remaining 90% of space on land are far from being uniform remote or even wild areas. There are very different ways of how the un-built area that still makes the largest share of land can be understood in terms of being under influence and in reach of human civilization. Only 15% of people in rich countries live more than an hour of travel time from a city (of at least 50,000 people), while the same applies to 65% of people living in the poor countries of the world.

This gridded cartogram visualises the relative distance of areas to the majority of people. The map derived from the distorted grid show the physical space transformed according to the absolute travel time that is needed to reach the nearest major city by land transport averaged over the area of a grid cell, resulting in a map that gives the remotest places most space and provides a unique new perspective on the spatial dimension of remoteness.]]></description>
										<content:encoded><![CDATA[<p><strong>This map shows the land surface resized according to its accessibility. Each transformed grid cell in the map is proportional to the travel time via land from that area to the nearest big city (of a population of 50,000+). </strong></p>
<p><em>Data sources<br />
</em>This map uses data based on research by Uchida and Nelson (2009), published online by the <a href="http://forobs.jrc.ec.europa.eu/products/gam/" target="_blank" rel="noopener">European Union Joint Research Centre</a>. It also utilises the GTOPO30 digital elevation model by the <a href="https://lta.cr.usgs.gov/GTOPO30" target="_blank" rel="noopener">United States Geological Survey</a> (accessed March 2018).</p>
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