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	<title>Computers, Society, and Nature</title>
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		<title>Remote sensing uncertainty in GIS</title>
		<link>http://rose.geog.mcgill.ca/wordpress/?p=3508</link>
		<comments>http://rose.geog.mcgill.ca/wordpress/?p=3508#comments</comments>
		<pubDate>Fri, 05 Apr 2013 11:51:15 +0000</pubDate>
		<dc:creator>S_Ram</dc:creator>
				<category><![CDATA[506]]></category>

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		<description><![CDATA[The article of G. G. Wilkinson is dated, and this is significant in a field that is rapidly evolving. Nonetheless, in my point of view, the author’s argument is still valid today. He talks about uncertainty and data structures in remote sensing and GIS. Sophisticated technologies and remote sensing don’t automatically solve the problem of [...]]]></description>
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		<title>Certainty of Uncertainty!</title>
		<link>http://rose.geog.mcgill.ca/wordpress/?p=3504</link>
		<comments>http://rose.geog.mcgill.ca/wordpress/?p=3504#comments</comments>
		<pubDate>Fri, 05 Apr 2013 02:42:09 +0000</pubDate>
		<dc:creator>S_Ram</dc:creator>
				<category><![CDATA[506]]></category>

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		<description><![CDATA[Helen Couclelis wrote an article called Certainty of Uncertainty and I think that David J. Unwin is making a similar point. The problem of uncertainty is not merely technical. Uncertainty doesn’t only come from data and information but it is also about geographical knowledge that is sometimes inevitably uncertain. There are things that we simply [...]]]></description>
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		<title>Uncertainty</title>
		<link>http://rose.geog.mcgill.ca/wordpress/?p=3501</link>
		<comments>http://rose.geog.mcgill.ca/wordpress/?p=3501#comments</comments>
		<pubDate>Fri, 05 Apr 2013 01:23:26 +0000</pubDate>
		<dc:creator>tranv</dc:creator>
				<category><![CDATA[506]]></category>

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		<description><![CDATA[Uncertainty lies at the core of GISci where MacEachren et al. acknowledges the GISci community has given more attention to formalizing approaches to uncertainty than in other communities such as information visualization communities (p. 144). The authors go through several examples of how uncertainty can be visualized from changes in hue to symbols with different [...]]]></description>
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		<title>Integrating RS and GIS</title>
		<link>http://rose.geog.mcgill.ca/wordpress/?p=3499</link>
		<comments>http://rose.geog.mcgill.ca/wordpress/?p=3499#comments</comments>
		<pubDate>Thu, 04 Apr 2013 22:12:20 +0000</pubDate>
		<dc:creator>tranv</dc:creator>
				<category><![CDATA[506]]></category>

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		<description><![CDATA[Brivio et al. provides a case study where the integration of GIS and RS is able to compensate for limitations that may exist in each technology. The study provides a good example of how these two closely related fields can combine together to produce a more realistic representation of various phenomenon. While this case study [...]]]></description>
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		<title>Visualizing uncertainty</title>
		<link>http://rose.geog.mcgill.ca/wordpress/?p=3482</link>
		<comments>http://rose.geog.mcgill.ca/wordpress/?p=3482#comments</comments>
		<pubDate>Thu, 04 Apr 2013 22:00:24 +0000</pubDate>
		<dc:creator>Wyatt</dc:creator>
				<category><![CDATA[General]]></category>
		<category><![CDATA[506]]></category>

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		<description><![CDATA[MacEachren et als article provides a thorough overview of the current status of uncertainty visualization along with its future and its challenges. It seems to be established that uncertainty visualization is more useful at the planning stage than at the user stage of an application. This makes me think back to an earlier discussion on [...]]]></description>
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		<title>Are We Certain that Uncertainty is the Problem?</title>
		<link>http://rose.geog.mcgill.ca/wordpress/?p=3494</link>
		<comments>http://rose.geog.mcgill.ca/wordpress/?p=3494#comments</comments>
		<pubDate>Thu, 04 Apr 2013 20:44:37 +0000</pubDate>
		<dc:creator>JMonterey</dc:creator>
				<category><![CDATA[506]]></category>
		<category><![CDATA[GEOG506]]></category>
		<category><![CDATA[uncertainty]]></category>
		<category><![CDATA[Unwin]]></category>

		<guid isPermaLink="false">http://rose.geog.mcgill.ca/wordpress/?p=3494</guid>
		<description><![CDATA[Unwin‘s 1995 paper on uncertainty in GIS was a solid overview of some of the issues with data representation that might fly under the radar or be assumed without further comment in day-to-day analysis.  He discussed vector (or object) and raster (or field) data representations, and the underlying error inherent in the formats themselves, rather [...]]]></description>
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		<title></title>
		<link>http://rose.geog.mcgill.ca/wordpress/?p=3490</link>
		<comments>http://rose.geog.mcgill.ca/wordpress/?p=3490#comments</comments>
		<pubDate>Thu, 04 Apr 2013 17:53:18 +0000</pubDate>
		<dc:creator>Pointy McPolygon</dc:creator>
				<category><![CDATA[506]]></category>

		<guid isPermaLink="false">http://rose.geog.mcgill.ca/wordpress/?p=3490</guid>
		<description><![CDATA[No matter how good technology becomes, we will always face challenges in data uncertainty and error; the question is, can we develop appropriate techniques to mitigate the effects of these noises, and come away with the correct signal. As MacEachren et al. (2005) point out in their article titled &#8220;Visualizing Geospatial Information Uncertainty&#8221;, we use [...]]]></description>
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		<title>What&#8217;s the hard part now?</title>
		<link>http://rose.geog.mcgill.ca/wordpress/?p=3487</link>
		<comments>http://rose.geog.mcgill.ca/wordpress/?p=3487#comments</comments>
		<pubDate>Thu, 04 Apr 2013 17:35:08 +0000</pubDate>
		<dc:creator>Pointy McPolygon</dc:creator>
				<category><![CDATA[506]]></category>

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		<description><![CDATA[Remote Sensing and GIS technology has changed significantly since Wilkinson (2007) wrote his review on how the two fields overlap. Hyperspectral imagery is now commonplace, and the software is well equipped to deal with it. Currently, we still struggle with handling error and uncertainty, but there are prescribed ways for dealing with each issue. Atmospheric [...]]]></description>
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		<title>Problems of classification</title>
		<link>http://rose.geog.mcgill.ca/wordpress/?p=3484</link>
		<comments>http://rose.geog.mcgill.ca/wordpress/?p=3484#comments</comments>
		<pubDate>Thu, 04 Apr 2013 13:07:27 +0000</pubDate>
		<dc:creator>diptos</dc:creator>
				<category><![CDATA[506]]></category>
		<category><![CDATA[geographic information systems]]></category>

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		<description><![CDATA[Since the paper by Wilkinson in 1996 many satellites have been put into orbits and several million GBs of satellite image have been collected. But more importantly, with the coming of the digital camera there has been an explosion in the amount of digital images that have been captured. Consequently, people were quick to spot [...]]]></description>
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		<title>GIS&amp;RS</title>
		<link>http://rose.geog.mcgill.ca/wordpress/?p=3477</link>
		<comments>http://rose.geog.mcgill.ca/wordpress/?p=3477#comments</comments>
		<pubDate>Thu, 04 Apr 2013 05:51:27 +0000</pubDate>
		<dc:creator>Wyatt</dc:creator>
				<category><![CDATA[General]]></category>
		<category><![CDATA[506]]></category>

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		<description><![CDATA[Brivio et als paper presents a case study integrating Remote Sensing and GIS to produce a flood map. After explaining methodology and results of other methods, the paper finds the integrative method to be 96% accurate. This speaks to the value of interdisciplinary work. While RS applications on their own proved inadequate, a mixing of [...]]]></description>
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