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Data base approach to spatial data mining (Ester and al.)

5 November 2017 - 3:22pm
Spatial data mining consists of the use of database information and manipulation through algorithms to process spatial information as effectively as possible. it is able to use available information to infer other pieces of information through dependancy between variables. Thus, it can relate to aspects of spatial privacy by using personal information voluntarily provided to […]

Shekhar et al – Spatial Data Mining

5 November 2017 - 12:26pm
This paper presented the primary tools in which to affect data mining on a set of data. The tangible results found as a result of data mining were not new to me, I believe it is something that many budding GI scientists engage with at the beginning of their education. I remember engaging with learning […]

Spatial Data Mining (Shekhar et al)

4 November 2017 - 3:31pm
I found this paper particularly tough to get into, as Spatial Data Mining veers more towards a tool used in G.I.S. than any of the topics we have covered thus far in my opinion. Although the tweaking of methods like SAR and MRF models to meet the issues regular data mining ran into (i.e. ignoring […]

Thoughts on Shakhar et al. (2003)

4 November 2017 - 9:38am
Shekhar et al. (2003) outline various techniques in spatial data mining which can be used to extract patterns from spatial datasets. In discussing techniques for modeling spatial dependency, detecting spatial outliers, identifying spatial colocation, and determining spatial clustering, Shakhar et al. effectively demonstrate the relevant challenges and considerations when working with a spatial dataset.  Due […]

Spatial Data Mining – Ester, Kriegel, Sander (1997)

3 November 2017 - 6:02pm
Tobler’s Law of Geography is central to spatial data mining. The purpose of knowledge discovery in databases is to identify clusters of similar attributes and find links with the distribution of other attributes in the same areas. Using decision tree algorithms, spatial data systems and their associated neighborhood graphs can be classified, and rules can […]

Spatial Data Mining: Shekhar, Zhang, Huang and Vatsavai (2003)

3 November 2017 - 11:30am
The article by Shekhar, Zhang, Huang and Vatsavai (2003) begins with a clear explanation of the differences between spatial and non-spatial data mining, with some interesting examples. It would have been useful to include some of the information from last week’s article from geoviz about the prevalence of spatial information in digital data (~80%) for […]

Thoughts on Spatial Data Mining Chapter (Shekhar et al.)

2 November 2017 - 5:12pm
This chapter provided a review of several spatial data mining techniques, example datasets, and how equations can be adapted to deal specifically with spatial information. In the very beginning, the authors state that to address the uniqueness of spatial data, researchers would have to “create new algorithms or adapt existing ones.” Immediately, I thought about […]

Cognitive and Usability Issues in Geovisualization, Slocum et al. (2001)

29 October 2017 - 11:58pm
Solcum et al. (2001) detailed emergent research themes in geovisualization circa 2001. The authors advocate for an interdisciplinary approach incorporating cognitive and usability engineering principles to address challenges concerning immersion and collaborative visualization. It was striking to realize how frequently I’ve brushed over the finer points made by the authors over the year and change […]

Cognitive and Usability Issues in Geovisualization (Slocum et al., 2001)  

29 October 2017 - 10:16pm
This paper discusses the challenges of using novel geovisulization methods (methods based on advanced software and hardware) and emphasize the significance to conduct cognitive research and usability evaluation for higher effectiveness of these methods. I may agree that it is important to explore how to develop and apply the geovisulization methods “correctly”. Main reasons are, […]

MacEachran 2001: geovisualization

29 October 2017 - 5:21pm
As explained in MacEachran’s paper, Geovisualization is much more than just making maps; it tackles the issues of displaying spatial information in a more accurate and precise sense. As i’ve seen through my research for location privacy conners, there is an incredible amount of data that has spatial information attached to it; > 80% according […]

On Slocum et al (2001) and Geovisualization Trends

29 October 2017 - 5:12pm
In the article “Cognitive and Usability Issues in Geovisualization”, Slocum et al.  discussed a need for maps or visualization tools to be conceptualized as  composed of both theory-driven design as well as usability engineering. The theory will describe how people think about maps with preconceived ideas about symbology, colour, layout, and representation. I thought it […]

Thoughts on Slocum et al

29 October 2017 - 4:06pm
Reading about “current” and anticipated issues in geovisualization from sixteen years ago is quite interesting. Perspectives on many of these issues would be quite different with the technologies that exist today. The replacement of CRT monitors with liquid crystal display, the affordability of desktop and laptop computers with several times more RAM, and the proliferation […]

Research Challenges in Geovisualization (MacEachren 2013)

29 October 2017 - 3:34pm
This paper delves into GeoVisualization, which at face value seems like a simple topic (In the sense there is nothing quite as universally recognized as a world map), though actually is very multifaceted with many considerations to be taken. My first thoughts in reading how GeoVisualization was a combination of Virtual Environments, ViSC, and other fields […]

Research Challenges in geovisualization – MacEachren & Kraak

28 October 2017 - 4:20pm
This paper was published at the cusp of the digital age, and the author acknowledges the deluge of information that will soon pose a variety of challenges to GI analysts, which are elaborated further throughout the article. Typical issues to be expected such as how to represent information adequately becomes a pertinent question. But also […]

Thoughts on ‘Cognitive and Usability Issues in Geovisualization” Slocum et al. 2017

27 October 2017 - 3:28pm
This paper was a comprehensive review of the current issues in geovisualization,  with a focus on legibility, and user-centered cognition, and features of experiential VR. They provided a number of conclusions based on their review of the current literature and the state of existing technology, and one of their recommendations was for more research in […]

Research Challenges in Geovisualization (MacEachren & Kraak, 2001)

27 October 2017 - 12:05pm
This article by MacEachren and Kraak (2001) presents the importance of geovisualization, and discusses research challenges in geovis based on a multi-component research agenda. The authors discuss the process of transforming data into information and information into knowledge, an issue which I find really interesting, and which is increasingly common in the age of ‘big […]

Thoughts on “Research Challenges in Geovisualization”

27 October 2017 - 9:43am
MacEachren and Kraak (2001) compile the various research challenges and main themes underscoring the field of geovisualization. Geovisualization is discussed vis-a-vis representation, computer integration, interfaces, and cognitive/usability issues. From the number of issues presented, it is clear that geovisualization is a field with plenty of room for further research and development, particularly as geospatial data […]

Structure from motion photogrammetry in physical geography (Smith, Carrivick, & Quincey, 2016)  

23 October 2017 - 11:23am
The paper present an overall review of structure from motion photogrammetry with multi-view stereo (SfM-MVS). With the comparison figure shown in the paper, we can say SfM is an economic, efficient, and accurate method for surveying small areas with high resolution. The authors emphasize its significance in physical geography, while I’m thinking that it may […]

Smith and al. Structure Motion Photogrammetry

23 October 2017 - 11:15am
Structure from motion photogrammetry in physical geography refers to the the collection of topographic information for 3 dimensional data sets of areas. from my perspective i would lean towards categorizing this under the label of GIS tool rather than as a GIScience. the uses of the data sets produced could categorized as science but i […]

Smith et al – Structure from Motion Photogrammetry in Physical Geography

23 October 2017 - 12:29am
In this article, Smith et al discuss a new advancement in the field of topographic data collection: the combined forces of Structure from Motion (SfM) and Multi-View Stereo (MVS) analysis. This system works tangentially as a way to acquire data from still images and then constituting those images into a 3d model using point clouds […]