Computers, Society, and Nature

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Updated: 3 hours 16 min ago

Better Algorithms or Better Computers?

20 February 2013 - 12:45am
Any one who is facing dilemma about the above question should see the following video from 44:20 onward: Data Structures and Algorithms – Richard Buckland on YouTube Actually the entire video is very useful for anyone who is interested in understanding the basic of Complexity of Algorithms. - Dipto Sarkar

The Devil’s Software

19 February 2013 - 11:27pm
Robert Lake levels a scathing postpositivist criticism of GIS, as he sees it in the early 1990s, as being fundamentally ethically flawed.  His major ethical sticking point is that the underlying positivist data and analysis models of GIS by necessity objectify the subjects of research and are unable “to comprehend and respect the subjective differences [...]

Augmenting the Potential of Participatory GIS

19 February 2013 - 11:24pm
Hedley et al’s 2002 article highlights the state of the art in augmented reality (AR) applications in geovisualization and multi-party collaboration.  Emphasizing a multidisciplinary approach encompassing computer science, human-computer interaction and geovisualization, the authors describe their 3D AR PRISM interface and its successor, the GI2VIZ interface.  Important features of the interfaces they design are representation [...]

The near future of Augmented Reality

18 February 2013 - 4:21am
After reading the paper by Azuma et. al., I am convinced of the fact that augmented reality systems of the likes shown in Science Fiction Movies are not far. However, I think the first commercial applications of Augmented Reality will use the mobile phones as the primary device. The mobile phones are already equipped with [...]

Scale: Youtube videos – National Council for Geographic Education

16 February 2013 - 8:34pm
Here is a video link explaining scale from Youtube: Hope you all enjoy the awkward scale guy! C_N_Cycles

Spatial data mining and spatial analysis

15 February 2013 - 11:41am
I am late to post and I think everyone else has already posted lots of excellent ideas about these topics! I found the spatial data mining article very interesting. I think that statistical modeling and machine learning are two disciplines which share a lot in common and in some cases may even be redundant versions [...]

Yes, mining for spatial gold!

15 February 2013 - 10:57am
I appreciate the title of JMonterey’s blog! Spatial data mining, as described in the article by Shekhar et al., seems exactly like extracting precious resources out of the underground or a kind of ‘homogeneous’ set of data. The article gives great examples of the type of ‘gold’ that we can get from the data mining processes [...]

Scale

15 February 2013 - 9:40am
I found myself more interested in what you guys had to say about scale than the texts! or at least more inspired… One point that is really interesting is that we have fancy techniques to choose a right scale to study a problem but in the end, the scale problem persists. Here again I think [...]

Lost in the Data

15 February 2013 - 2:28am
Guo and Mennis outline the emerging field of spatial data mining for the introduction to a special journal issue.  Work in this field has been prompted by the ever-increasing availability of finer and finer grained data, from an exponentially increasing number of sensors ranging from satellites to cell phones to surveillance cameras.  There has been [...]

Mining for spatial ingenuity

15 February 2013 - 1:35am
The article “Spatial Data Mining, by Shashi Shekhar, explains what data mining is and how it has made great strides across various categories such as location prediction, spatial outlier detection, co-location mining, and clustering.  Data mining is finding meaningful patterns or information in data from a large data set that would otherwise have been imperceptible. This [...]

The article every undergraduate geographer needs to read

15 February 2013 - 1:31am
As a geographer, Danielle Marceau’s article “The scale issue in social and natural sciences” is easily digestible. Familiar concepts such as the modifiable areal unit problem (MAUP) are presented in a very clear manner. The article focuses mainly on the effects of scale and aggregates on spatial inferences, and on linking sptial patterns and processes [...]

Spatial Data Mining and Geographic Knowledge Discovery

14 February 2013 - 9:32pm
Unlike some other fields in GIScience, advances in spatial data mining and geographic knowledge discovery are not only needed, but time sensitive. The rate at which data is collected and produced is accelerating with little end in sight. This is not due only to the number of observations, but the number of times an observation [...]

Spatial Scale Problems and Geostatistical Solutions

14 February 2013 - 8:42pm
Atkinson and Tate make a good point. I only wish I could find it. Their extensive use of mathematics is daunting, but a necessary evil when understanding what goes on under the hood of ArcGIS. With no personal experience in the matter, a quick Google search yielded that Variograms are the same, if not similar, [...]

Scale

14 February 2013 - 1:46pm
There is no doubt that scale plays a large role in the way in which data is interpreted. The article by Atkinson and Tate provide a good overview of scale of measurement, scales of spatial variation, and the issues inherent to spatial data. However, if we draw from Kathryn’s seminar about spatial statistics, and realize [...]

Spatial Data Mining

14 February 2013 - 11:51am
Spatial data mining relies on the geographic attributes of the data to uncover spatial relationships within the dataset leading to knowledge discovery.  No doubt that if implemented successfully, then it has contributed to developing spatial theories, and contributing to geographic research. It’s a science! The authors contend that with the increasing contribution of volunteered geographic [...]

Mining for spatial gold

14 February 2013 - 1:19am
Shekhar et al. describe spatial data mining—the process of finding notable patterns in spatial data—and they outline models of doing so, as well as using spatial outliers and spatial co-location rules, and locating spatial clusters. The article is mostly informative, and the topic is central to spatial analysis, so it is difficult to separate spatial [...]

Tipping the scale toward “science”

14 February 2013 - 1:18am
Marceau’s sums up issues pertaining to the variability in scale including scale dependence, scale domains and scale thresholds. At the crux of the article is an illustration of “a shift in paradigm where entities, patterns and processes are considered as intrinsically linked to the particular scale at which they can be distinguished and defined” (Marceau [...]

In working on my final project, I

13 February 2013 - 10:22pm
In working on my final project, I picked up a copy of “How to Lie With Maps” by Mark Monmonier at the library. I haven’t gotten too far into the book, but its concept, of the way that maps are always more complex than they look on the outside, provides a useful starting point for [...]

Scaling Issues

13 February 2013 - 1:02am
Scale is an important issue in regards to most academic investigations, particularly within the framework of the investigation of natural phenomena. The biggest problem when dealing with these phenomena, especially environmental problems, is that these occurrences happen at various levels of scale. In addition, a single phenomena might have a particular effect on a local scale, but [...]

Spatial data mining: a discovery or a re-classification of knowledge

12 February 2013 - 8:18pm
Guo and Mennis speak on how data information has increased in availability making it difficult to extract the useful data, however I believe that it not just a present day problem. To clarify, although data in many fields may have once been hard to access, some fields have had an over abundance of data for [...]